Kaggle DS survery 2019 - Clean and Write to DB
This file is load the Kaggle Data Science Survey for 2019, cleans it, divides the questions into subsets, and writes the subsets to our project SQL server.
Below is the bulk data file. We don’t know to drag around all the data all the time so I’m going to split this dataframe up into subsets and clean them up for easy tidying downstream.
file<-"https://raw.githubusercontent.com/Shampjeff/data_607_project3/dev/Data/multiple_choice_responses.csv"
df<-read.csv(file = file,sep = ",", stringsAsFactors = F, na.strings =T)%>%
mutate_if(is.character, list(~na_if(.,""))) The first table we want is the basic information; age, country, education level, company size, salary, experience level, etc.
df_basic<- df %>%
select(Q1:Q2,Q3:Q4,Q6:Q8, Q10,Q11,Q15) %>%
rename(age = Q1, # custom name for columns
gender = Q2,
country = Q3,
education = Q4,
company_size = Q6,
ds_team_size = Q7,
company_use_ml = Q8,
compensation_USD = Q10,
spend_ml_cloud_work_USD = Q11,
code_exp_years = Q15) %>%
slice(2:(dim(df)[1])) %>%
mutate( # Following mutatations to clean formatting
country = str_replace_all(country,
"United Kingdom of Great Britain and Northern Ireland",
"United Kingdom")) %>%
mutate(company_size = str_remove_all(company_size, "employees")) %>%
mutate(education = str_remove_all(education, "degree")) %>%
mutate(education = str_remove_all(education, "[:punct:]")) %>%
mutate(compensation_USD = str_remove_all(compensation_USD, "[$]")) %>%
mutate(spend_ml_cloud_work_USD = str_remove_all(spend_ml_cloud_work_USD,"[$]")) %>%
mutate(spend_ml_cloud_work_USD = str_remove_all(spend_ml_cloud_work_USD,"\\(USD\\)")) %>%
mutate(code_exp_years= str_remove_all(code_exp_years, "years")) %>%
mutate(code_exp_years= str_replace_all(code_exp_years, "I have never written code", "None"))
df_basic## age gender country
## 1 22-24 Male France
## 2 40-44 Male India
## 3 55-59 Female Germany
## 4 40-44 Male Australia
## 5 22-24 Male India
## 6 50-54 Male France
## 7 22-24 Male India
## 8 22-24 Female United States of America
## 9 22-24 Male United States of America
## 10 55-59 Male Netherlands
## 11 18-21 Male India
## 12 30-34 Male Germany
## 13 30-34 Male Germany
## 14 30-34 Male United States of America
## 15 25-29 Male India
## 16 50-54 Female United States of America
## 17 18-21 Male Australia
## 18 18-21 Male India
## 19 35-39 Male France
## 20 25-29 Male France
## 21 22-24 Female Ireland
## 22 35-39 Male United States of America
## 23 25-29 Male India
## 24 40-44 Male Russia
## 25 25-29 Male Greece
## 26 30-34 Male Greece
## 27 35-39 Male India
## 28 25-29 Male United States of America
## 29 30-34 Female Ukraine
## 30 25-29 Female Pakistan
## 31 30-34 Male Japan
## 32 30-34 Male Japan
## 33 25-29 Female Other
## 34 30-34 Female United States of America
## 35 22-24 Male Brazil
## 36 25-29 Male India
## 37 35-39 Male South Korea
## 38 25-29 Male Brazil
## 39 35-39 Male France
## 40 30-34 Female United States of America
## 41 25-29 Male India
## 42 22-24 Male India
## 43 22-24 Male India
## 44 35-39 Male Belarus
## 45 25-29 Male India
## 46 22-24 Male India
## 47 25-29 Male India
## 48 25-29 Male Nigeria
## 49 35-39 Female United Kingdom
## 50 30-34 Male Sweden
## 51 35-39 Male United States of America
## 52 25-29 Male India
## 53 18-21 Male India
## 54 30-34 Male Germany
## 55 25-29 Male Germany
## 56 25-29 Male India
## 57 45-49 Female India
## 58 40-44 Male India
## 59 30-34 Male United States of America
## 60 22-24 Female India
## 61 35-39 Male Mexico
## 62 30-34 Male United States of America
## 63 25-29 Female United States of America
## 64 22-24 Male France
## 65 35-39 Prefer to self-describe United Kingdom
## 66 40-44 Male Other
## 67 25-29 Prefer not to say United States of America
## 68 18-21 Male Russia
## 69 22-24 Male India
## 70 22-24 Male India
## 71 30-34 Male India
## 72 22-24 Male Australia
## 73 18-21 Male India
## 74 18-21 Male Brazil
## 75 30-34 Female India
## 76 22-24 Male India
## 77 35-39 Male Japan
## 78 35-39 Male Canada
## 79 18-21 Male India
## 80 30-34 Male United States of America
## 81 30-34 Male Portugal
## 82 25-29 Male United States of America
## 83 25-29 Male Russia
## 84 22-24 Female India
## 85 30-34 Male Canada
## 86 30-34 Female United States of America
## 87 22-24 Male France
## 88 22-24 Male United States of America
## 89 30-34 Male Canada
## 90 25-29 Male Poland
## 91 22-24 Male Indonesia
## 92 35-39 Male Netherlands
## 93 30-34 Male Italy
## 94 45-49 Male France
## 95 22-24 Male India
## 96 22-24 Male Brazil
## 97 30-34 Male United States of America
## 98 30-34 Male India
## 99 25-29 Male Czech Republic
## 100 35-39 Prefer not to say United States of America
## 101 18-21 Male India
## 102 25-29 Female Other
## 103 22-24 Male Pakistan
## 104 50-54 Male United Kingdom
## 105 30-34 Male United States of America
## 106 30-34 Male Spain
## 107 25-29 Male United States of America
## 108 30-34 Female United States of America
## 109 18-21 Male India
## 110 35-39 Male Sweden
## 111 25-29 Male United States of America
## 112 25-29 Female Morocco
## 113 25-29 Male India
## 114 45-49 Male India
## 115 25-29 Male Spain
## 116 18-21 Male India
## 117 22-24 Male Greece
## 118 35-39 Male Russia
## 119 22-24 Male United States of America
## 120 25-29 Prefer not to say Other
## 121 40-44 Male India
## 122 25-29 Male United States of America
## 123 25-29 Male India
## 124 30-34 Male United States of America
## 125 22-24 Male Pakistan
## 126 25-29 Male Chile
## 127 25-29 Male Other
## 128 22-24 Male India
## 129 22-24 Male India
## 130 22-24 Male France
## 131 18-21 Female India
## 132 18-21 Male India
## 133 45-49 Male Hong Kong (S.A.R.)
## 134 30-34 Female Mexico
## 135 25-29 Male India
## 136 50-54 Male Spain
## 137 18-21 Female India
## 138 22-24 Male India
## 139 25-29 Male South Africa
## 140 30-34 Male Hungary
## 141 30-34 Male France
## 142 40-44 Male India
## 143 60-69 Male United States of America
## 144 45-49 Female Argentina
## 145 25-29 Male Turkey
## 146 55-59 Male United States of America
## 147 30-34 Male Ireland
## 148 22-24 Male Russia
## 149 18-21 Male India
## 150 55-59 Male France
## 151 30-34 Male Singapore
## 152 25-29 Male India
## 153 35-39 Male Portugal
## 154 40-44 Male United Kingdom
## 155 22-24 Male India
## 156 45-49 Female United States of America
## 157 22-24 Male Pakistan
## 158 30-34 Male United States of America
## 159 40-44 Male Brazil
## 160 35-39 Male Israel
## 161 35-39 Male Russia
## 162 30-34 Male Nigeria
## 163 35-39 Female India
## 164 18-21 Male India
## 165 18-21 Male India
## 166 25-29 Male Japan
## 167 35-39 Male United States of America
## 168 35-39 Male Other
## 169 35-39 Male Italy
## 170 30-34 Female Italy
## 171 18-21 Female India
## 172 18-21 Male India
## 173 25-29 Male France
## 174 18-21 Male India
## 175 30-34 Male Ukraine
## 176 22-24 Male India
## 177 25-29 Male India
## 178 25-29 Male Japan
## 179 45-49 Male Italy
## 180 35-39 Male Russia
## 181 35-39 Female Taiwan
## 182 22-24 Female United States of America
## 183 70+ Male Other
## 184 22-24 Female India
## 185 45-49 Male Other
## 186 30-34 Male Egypt
## 187 25-29 Male Brazil
## 188 22-24 Male Brazil
## 189 30-34 Male Russia
## 190 40-44 Male United States of America
## 191 35-39 Male India
## 192 50-54 Female Brazil
## 193 22-24 Female Other
## 194 25-29 Female Ukraine
## 195 30-34 Male Brazil
## 196 18-21 Male India
## 197 22-24 Male Bangladesh
## 198 25-29 Female United States of America
## 199 25-29 Male Morocco
## 200 25-29 Male Canada
## 201 30-34 Female United States of America
## 202 25-29 Female Canada
## 203 22-24 Male United States of America
## 204 25-29 Female United States of America
## 205 25-29 Male Brazil
## 206 55-59 Male United States of America
## 207 25-29 Male Hungary
## 208 25-29 Male Belarus
## 209 22-24 Male Spain
## 210 22-24 Male United States of America
## 211 22-24 Male India
## 212 22-24 Female India
## 213 18-21 Male Canada
## 214 18-21 Female Nigeria
## 215 25-29 Male India
## 216 25-29 Male South Korea
## 217 40-44 Male India
## 218 22-24 Female Other
## 219 35-39 Male France
## 220 30-34 Male Other
## 221 30-34 Male Colombia
## 222 30-34 Male Brazil
## 223 40-44 Male Germany
## 224 40-44 Male United States of America
## 225 35-39 Male India
## 226 25-29 Male Japan
## 227 55-59 Male Australia
## 228 40-44 Male Brazil
## 229 22-24 Male Taiwan
## 230 30-34 Male India
## 231 50-54 Male United States of America
## 232 30-34 Male Mexico
## 233 25-29 Female United States of America
## 234 55-59 Male India
## 235 22-24 Male Egypt
## 236 25-29 Male India
## 237 30-34 Male India
## 238 50-54 Male Sweden
## 239 18-21 Female Nigeria
## 240 45-49 Male United States of America
## 241 30-34 Male Canada
## 242 25-29 Male Norway
## 243 22-24 Male Pakistan
## 244 18-21 Male Russia
## 245 30-34 Male Other
## 246 18-21 Male India
## 247 25-29 Female India
## 248 18-21 Male India
## 249 25-29 Male Netherlands
## 250 30-34 Male United States of America
## 251 35-39 Male India
## 252 40-44 Male Japan
## 253 25-29 Male Spain
## 254 45-49 Male United States of America
## 255 30-34 Male South Africa
## 256 50-54 Male United States of America
## 257 30-34 Female United States of America
## 258 30-34 Female United States of America
## 259 60-69 Male United States of America
## 260 30-34 Male Czech Republic
## 261 30-34 Male Thailand
## 262 30-34 Male Taiwan
## 263 25-29 Male Netherlands
## 264 40-44 Male United Kingdom
## 265 18-21 Male Nigeria
## 266 22-24 Male China
## 267 30-34 Male India
## 268 35-39 Male South Korea
## 269 18-21 Male India
## 270 45-49 Male Turkey
## 271 45-49 Male United States of America
## 272 40-44 Male Indonesia
## 273 22-24 Male France
## 274 45-49 Male United States of America
## 275 25-29 Male Israel
## 276 25-29 Female Morocco
## 277 25-29 Female Turkey
## 278 22-24 Female India
## 279 40-44 Male United Kingdom
## 280 35-39 Male Japan
## 281 50-54 Male Italy
## 282 30-34 Male Switzerland
## 283 18-21 Male India
## 284 40-44 Male United States of America
## 285 22-24 Male India
## 286 18-21 Male India
## 287 22-24 Female Russia
## 288 22-24 Male United States of America
## 289 60-69 Male United States of America
## 290 22-24 Male Pakistan
## 291 30-34 Male India
## 292 25-29 Male Mexico
## 293 30-34 Male Other
## 294 30-34 Male Italy
## 295 35-39 Male Other
## 296 30-34 Male South Africa
## 297 50-54 Male Brazil
## 298 22-24 Female Pakistan
## 299 35-39 Male Portugal
## 300 30-34 Male Germany
## 301 25-29 Male United States of America
## 302 60-69 Male United States of America
## 303 40-44 Male Argentina
## 304 40-44 Female United States of America
## 305 25-29 Male Brazil
## 306 50-54 Male Italy
## 307 18-21 Male Viet Nam
## 308 25-29 Male United States of America
## 309 30-34 Male United States of America
## 310 18-21 Male India
## 311 35-39 Male Netherlands
## 312 22-24 Male India
## 313 18-21 Female United States of America
## 314 25-29 Male Taiwan
## 315 25-29 Male Denmark
## 316 25-29 Female India
## 317 18-21 Male India
## 318 35-39 Male Ukraine
## 319 18-21 Female Russia
## 320 55-59 Male Colombia
## 321 25-29 Male Thailand
## 322 22-24 Male Viet Nam
## 323 30-34 Male India
## 324 50-54 Male Indonesia
## 325 22-24 Male Nigeria
## 326 35-39 Male Other
## 327 25-29 Male India
## 328 30-34 Male Chile
## 329 18-21 Male India
## 330 25-29 Male United States of America
## 331 22-24 Male Colombia
## 332 30-34 Male Colombia
## 333 25-29 Male United States of America
## 334 40-44 Male Taiwan
## 335 25-29 Male India
## 336 35-39 Male United States of America
## 337 25-29 Female United States of America
## 338 22-24 Female Indonesia
## 339 35-39 Male United States of America
## 340 35-39 Female France
## 341 40-44 Female United States of America
## 342 18-21 Male India
## 343 22-24 Male Russia
## 344 30-34 Male India
## 345 18-21 Male India
## 346 22-24 Female Morocco
## 347 22-24 Female South Korea
## 348 25-29 Female United States of America
## 349 18-21 Male India
## 350 22-24 Male India
## 351 22-24 Male Colombia
## 352 30-34 Male Israel
## 353 18-21 Male India
## 354 30-34 Prefer to self-describe Other
## 355 25-29 Female India
## 356 25-29 Male Other
## 357 60-69 Male United States of America
## 358 25-29 Female Russia
## 359 25-29 Male Other
## 360 30-34 Male India
## 361 55-59 Male United States of America
## 362 22-24 Male India
## 363 22-24 Male India
## 364 25-29 Male Italy
## 365 55-59 Female Canada
## 366 22-24 Male Mexico
## 367 22-24 Male United States of America
## 368 22-24 Male India
## 369 25-29 Male United States of America
## 370 22-24 Female United Kingdom
## 371 22-24 Male India
## 372 25-29 Prefer not to say Japan
## 373 45-49 Female United States of America
## 374 18-21 Prefer not to say Other
## 375 25-29 Male United States of America
## 376 25-29 Male United States of America
## 377 25-29 Female France
## 378 22-24 Male India
## 379 18-21 Male India
## 380 30-34 Male Japan
## 381 55-59 Male Taiwan
## 382 25-29 Male Russia
## 383 25-29 Male Mexico
## 384 25-29 Male France
## 385 22-24 Prefer to self-describe Russia
## 386 30-34 Male India
## 387 18-21 Male India
## 388 18-21 Female India
## 389 35-39 Male Brazil
## 390 30-34 Male Argentina
## 391 22-24 Male India
## 392 22-24 Male Japan
## 393 40-44 Male Brazil
## 394 18-21 Male India
## 395 22-24 Prefer not to say Viet Nam
## 396 30-34 Male Japan
## 397 30-34 Male United States of America
## 398 25-29 Male Italy
## 399 25-29 Male India
## 400 18-21 Male India
## 401 60-69 Male United States of America
## 402 25-29 Female United States of America
## 403 30-34 Male Japan
## 404 18-21 Male India
## 405 18-21 Male India
## 406 18-21 Female Ukraine
## 407 30-34 Male India
## 408 30-34 Male India
## 409 18-21 Male India
## 410 25-29 Male United States of America
## 411 35-39 Female Tunisia
## 412 55-59 Male Brazil
## 413 25-29 Male United Kingdom
## 414 25-29 Female Chile
## 415 30-34 Male Netherlands
## 416 18-21 Male Other
## 417 40-44 Male United States of America
## 418 25-29 Male Russia
## 419 18-21 Male Brazil
## 420 25-29 Male India
## 421 45-49 Female Japan
## 422 35-39 Male Spain
## 423 35-39 Male Singapore
## 424 25-29 Male Canada
## 425 30-34 Male Pakistan
## 426 30-34 Male United States of America
## 427 18-21 Male Russia
## 428 50-54 Male Canada
## 429 30-34 Female France
## 430 22-24 Female India
## 431 45-49 Female Canada
## 432 18-21 Male India
## 433 22-24 Female United States of America
## 434 25-29 Male Egypt
## 435 18-21 Male India
## 436 30-34 Male India
## 437 25-29 Female Other
## 438 35-39 Male Brazil
## 439 40-44 Male Poland
## 440 18-21 Male India
## 441 25-29 Male Republic of Korea
## 442 22-24 Male Viet Nam
## 443 30-34 Female Russia
## 444 25-29 Female United States of America
## 445 45-49 Male Norway
## 446 25-29 Male United States of America
## 447 25-29 Male United Kingdom
## 448 40-44 Female United States of America
## 449 25-29 Male Germany
## 450 22-24 Male Germany
## 451 40-44 Female United States of America
## 452 25-29 Male India
## 453 50-54 Male France
## 454 25-29 Male Brazil
## 455 35-39 Male United States of America
## 456 22-24 Male Mexico
## 457 40-44 Male United States of America
## 458 45-49 Male United States of America
## 459 18-21 Female Turkey
## 460 30-34 Male United States of America
## 461 35-39 Male Other
## 462 22-24 Male Colombia
## 463 30-34 Male United States of America
## 464 18-21 Male India
## 465 35-39 Male Italy
## 466 30-34 Female United Kingdom
## 467 35-39 Male Canada
## 468 45-49 Female Italy
## 469 50-54 Male United Kingdom
## 470 25-29 Male United Kingdom
## 471 18-21 Male India
## 472 40-44 Male United Kingdom
## 473 30-34 Male Germany
## 474 25-29 Male India
## 475 55-59 Prefer not to say Other
## 476 30-34 Male United States of America
## 477 25-29 Male Germany
## 478 40-44 Male United States of America
## 479 50-54 Male United States of America
## 480 18-21 Female India
## 481 40-44 Male India
## 482 35-39 Female Sweden
## 483 25-29 Male United States of America
## 484 25-29 Male United States of America
## 485 30-34 Female Brazil
## 486 22-24 Male Canada
## 487 30-34 Male South Africa
## 488 30-34 Male United States of America
## 489 22-24 Male New Zealand
## 490 18-21 Male Republic of Korea
## 491 30-34 Male Canada
## 492 30-34 Male United States of America
## 493 30-34 Male India
## 494 40-44 Male Canada
## 495 25-29 Female United States of America
## 496 30-34 Male United States of America
## 497 40-44 Male Italy
## 498 40-44 Male Poland
## 499 30-34 Male Poland
## 500 25-29 Male India
## 501 18-21 Male India
## 502 25-29 Female India
## 503 40-44 Male United States of America
## 504 25-29 Male Spain
## 505 22-24 Male India
## 506 25-29 Female South Africa
## 507 18-21 Male India
## 508 30-34 Male Ireland
## 509 25-29 Male United States of America
## 510 22-24 Female Iran, Islamic Republic of...
## 511 25-29 Male Brazil
## 512 25-29 Male Bangladesh
## 513 22-24 Male India
## 514 22-24 Male India
## 515 30-34 Male United States of America
## 516 50-54 Male United States of America
## 517 18-21 Male India
## 518 22-24 Male India
## 519 35-39 Female Canada
## 520 40-44 Male Switzerland
## 521 22-24 Male Iran, Islamic Republic of...
## 522 35-39 Female United States of America
## 523 35-39 Male Canada
## 524 25-29 Male Spain
## 525 55-59 Male Spain
## 526 40-44 Male Other
## 527 30-34 Male United States of America
## 528 18-21 Male Ukraine
## 529 35-39 Male United States of America
## 530 30-34 Male India
## 531 18-21 Female Tunisia
## 532 55-59 Male United States of America
## 533 45-49 Male India
## 534 25-29 Male United States of America
## 535 60-69 Male United States of America
## 536 25-29 Male United States of America
## 537 22-24 Male Bangladesh
## 538 30-34 Male Poland
## 539 35-39 Male Singapore
## 540 22-24 Male Greece
## 541 22-24 Male Bangladesh
## 542 25-29 Male United Kingdom
## 543 30-34 Male Brazil
## 544 35-39 Male United States of America
## 545 22-24 Female Morocco
## 546 25-29 Male Russia
## 547 22-24 Male Turkey
## 548 18-21 Male India
## 549 22-24 Female Portugal
## 550 25-29 Male United States of America
## 551 30-34 Female Egypt
## 552 25-29 Male Netherlands
## 553 35-39 Male United States of America
## 554 30-34 Male Switzerland
## 555 40-44 Male Other
## 556 25-29 Female India
## 557 22-24 Male India
## 558 18-21 Male United States of America
## 559 30-34 Male Brazil
## 560 55-59 Female United States of America
## 561 40-44 Male Other
## 562 25-29 Male India
## 563 30-34 Male France
## 564 18-21 Male India
## 565 35-39 Male Singapore
## 566 22-24 Male India
## 567 30-34 Female United States of America
## 568 30-34 Male Russia
## 569 25-29 Male Viet Nam
## 570 25-29 Male Brazil
## 571 22-24 Female India
## 572 35-39 Male India
## 573 30-34 Male Peru
## 574 40-44 Female South Africa
## 575 22-24 Female Canada
## 576 55-59 Female United States of America
## 577 30-34 Female United States of America
## 578 35-39 Male India
## 579 35-39 Male India
## 580 18-21 Male India
## 581 18-21 Male Kenya
## 582 22-24 Female Pakistan
## 583 45-49 Male Turkey
## 584 35-39 Male Other
## 585 22-24 Male India
## 586 25-29 Male Other
## 587 45-49 Male United States of America
## 588 35-39 Male Germany
## 589 18-21 Male United States of America
## 590 30-34 Male United States of America
## 591 22-24 Male United States of America
## 592 50-54 Male Taiwan
## 593 22-24 Female Pakistan
## 594 25-29 Male Italy
## 595 45-49 Male Brazil
## 596 18-21 Male India
## 597 22-24 Male Denmark
## 598 18-21 Female India
## 599 18-21 Male Egypt
## 600 18-21 Male India
## 601 55-59 Male Netherlands
## 602 35-39 Male Chile
## 603 25-29 Male Pakistan
## 604 22-24 Male India
## 605 18-21 Male United States of America
## 606 30-34 Male Singapore
## 607 35-39 Female Iran, Islamic Republic of...
## 608 35-39 Male Russia
## 609 18-21 Male India
## 610 22-24 Male Taiwan
## 611 35-39 Male Poland
## 612 40-44 Male Canada
## 613 18-21 Male India
## 614 35-39 Male India
## 615 25-29 Female Japan
## 616 30-34 Male Brazil
## 617 30-34 Male Pakistan
## 618 40-44 Male Other
## 619 35-39 Male Other
## 620 35-39 Male India
## 621 30-34 Female Italy
## 622 18-21 Male India
## 623 25-29 Female India
## 624 18-21 Male Russia
## 625 45-49 Prefer not to say Italy
## 626 25-29 Female Other
## 627 25-29 Male India
## 628 22-24 Female India
## 629 22-24 Male United States of America
## 630 35-39 Male Brazil
## 631 18-21 Male United States of America
## 632 18-21 Female Mexico
## 633 30-34 Male South Africa
## 634 60-69 Male United States of America
## 635 25-29 Male Russia
## 636 25-29 Female Brazil
## 637 60-69 Male Mexico
## 638 60-69 Male Mexico
## 639 22-24 Female Switzerland
## 640 18-21 Male India
## 641 35-39 Female United States of America
## 642 25-29 Male Nigeria
## 643 30-34 Male United States of America
## 644 40-44 Male United States of America
## 645 35-39 Male Germany
## 646 35-39 Male India
## 647 25-29 Male Spain
## 648 30-34 Male Japan
## 649 35-39 Male United Kingdom
## 650 30-34 Male Switzerland
## 651 18-21 Male India
## 652 18-21 Male India
## 653 50-54 Male United Kingdom
## 654 25-29 Male Brazil
## 655 30-34 Male Russia
## 656 25-29 Male Argentina
## 657 35-39 Male Argentina
## 658 30-34 Male India
## 659 18-21 Male Switzerland
## 660 22-24 Male Poland
## 661 25-29 Male Brazil
## 662 22-24 Male Taiwan
## 663 45-49 Male United States of America
## 664 30-34 Female India
## 665 25-29 Male United States of America
## 666 35-39 Male Other
## 667 25-29 Male India
## 668 50-54 Male India
## 669 22-24 Male Canada
## 670 18-21 Female Canada
## 671 35-39 Female Brazil
## 672 22-24 Female India
## 673 35-39 Male United States of America
## 674 35-39 Male Germany
## 675 30-34 Male United States of America
## 676 25-29 Male India
## 677 25-29 Female Ukraine
## 678 18-21 Male India
## 679 35-39 Male India
## 680 40-44 Male Colombia
## 681 35-39 Male Italy
## 682 40-44 Male Brazil
## 683 30-34 Male Russia
## 684 60-69 Male United States of America
## 685 22-24 Female Other
## 686 18-21 Male India
## 687 22-24 Male United States of America
## 688 18-21 Male India
## 689 25-29 Male Bangladesh
## 690 30-34 Male United States of America
## 691 40-44 Male Brazil
## 692 25-29 Male India
## 693 30-34 Male India
## 694 30-34 Female Russia
## 695 25-29 Male Brazil
## 696 18-21 Male India
## 697 50-54 Male United States of America
## 698 22-24 Male Argentina
## 699 25-29 Female United States of America
## 700 30-34 Male United States of America
## 701 25-29 Female United States of America
## 702 25-29 Male United States of America
## 703 22-24 Male India
## 704 18-21 Male Indonesia
## 705 45-49 Male United States of America
## 706 50-54 Female Romania
## 707 45-49 Male Colombia
## 708 35-39 Male France
## 709 18-21 Male India
## 710 18-21 Male India
## 711 25-29 Male Japan
## 712 40-44 Male Germany
## 713 30-34 Female Nigeria
## 714 22-24 Male Morocco
## 715 22-24 Male India
## 716 40-44 Female United States of America
## 717 25-29 Male India
## 718 18-21 Male Malaysia
## 719 70+ Male Other
## 720 40-44 Male Brazil
## 721 22-24 Male India
## 722 18-21 Male India
## 723 40-44 Male India
## 724 50-54 Male Spain
## 725 45-49 Male Turkey
## 726 22-24 Male Portugal
## 727 45-49 Male United States of America
## 728 35-39 Male United States of America
## 729 30-34 Male United States of America
## 730 22-24 Male Nigeria
## 731 30-34 Female United States of America
## 732 18-21 Male India
## 733 22-24 Male India
## 734 30-34 Male Ukraine
## 735 22-24 Male India
## 736 22-24 Female India
## 737 35-39 Female United States of America
## 738 18-21 Male United States of America
## 739 22-24 Male India
## 740 35-39 Male India
## 741 22-24 Female Russia
## 742 22-24 Female India
## 743 40-44 Female United States of America
## 744 22-24 Male Russia
## 745 25-29 Male India
## 746 30-34 Female United States of America
## 747 25-29 Male South Korea
## 748 25-29 Male Germany
## 749 22-24 Female India
## 750 22-24 Male Brazil
## 751 50-54 Male United States of America
## 752 18-21 Male India
## 753 30-34 Male Morocco
## 754 25-29 Female United Kingdom
## 755 35-39 Male United States of America
## 756 40-44 Male Argentina
## 757 35-39 Female Greece
## 758 40-44 Male Other
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## 917 30-34 Female United States of America
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## 932 45-49 Female United States of America
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## 935 35-39 Male Turkey
## 936 22-24 Male United States of America
## 937 40-44 Female Poland
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## 939 18-21 Male India
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## 941 30-34 Male Netherlands
## 942 40-44 Prefer not to say India
## 943 35-39 Male United States of America
## 944 35-39 Female United States of America
## 945 22-24 Female United States of America
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## 947 18-21 Male India
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## 949 22-24 Male India
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## 952 18-21 Male India
## 953 30-34 Male Brazil
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## 958 35-39 Male United States of America
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## 962 50-54 Prefer not to say Other
## 963 18-21 Male India
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## 1324 35-39 Male United States of America
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## 1330 35-39 Male Ireland
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## 1388 55-59 Male United States of America
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## 1391 30-34 Male United States of America
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## 1423 45-49 Male France
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## 1431 50-54 Male United Kingdom
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## 1434 35-39 Male United States of America
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## 1439 22-24 Male India
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## 1441 30-34 Male Spain
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## 1461 35-39 Male United States of America
## 1462 30-34 Male United States of America
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## 1465 35-39 Male United States of America
## 1466 40-44 Male Brazil
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## 1471 40-44 Male United States of America
## 1472 40-44 Male United Kingdom
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## 1474 25-29 Male United States of America
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## 1479 25-29 Female United States of America
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## 1482 60-69 Male Australia
## 1483 25-29 Male United States of America
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## 1487 25-29 Male India
## 1488 18-21 Male United States of America
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## 1506 50-54 Male Spain
## 1507 30-34 Female Germany
## 1508 30-34 Male United States of America
## 1509 35-39 Male New Zealand
## 1510 30-34 Male Germany
## 1511 22-24 Female Indonesia
## 1512 18-21 Male United States of America
## 1513 25-29 Male India
## 1514 45-49 Male United States of America
## 1515 25-29 Male Brazil
## 1516 25-29 Prefer not to say India
## 1517 30-34 Female New Zealand
## 1518 30-34 Male Canada
## 1519 35-39 Male Australia
## 1520 25-29 Male United States of America
## 1521 22-24 Female Tunisia
## 1522 50-54 Male United States of America
## 1523 25-29 Female United States of America
## 1524 30-34 Male Turkey
## 1525 30-34 Male Poland
## 1526 25-29 Male Australia
## 1527 30-34 Male United States of America
## 1528 25-29 Male United States of America
## 1529 25-29 Male Netherlands
## 1530 35-39 Male Brazil
## 1531 40-44 Male Italy
## 1532 25-29 Male United States of America
## 1533 45-49 Female Argentina
## 1534 22-24 Male Ukraine
## 1535 35-39 Male France
## 1536 30-34 Male Canada
## 1537 22-24 Male Russia
## 1538 35-39 Female Mexico
## 1539 22-24 Male Morocco
## 1540 25-29 Male Argentina
## 1541 25-29 Male Czech Republic
## 1542 35-39 Male Poland
## 1543 22-24 Male Mexico
## 1544 35-39 Male Canada
## 1545 35-39 Female United States of America
## 1546 35-39 Male Greece
## 1547 60-69 Female United States of America
## 1548 45-49 Male United States of America
## 1549 22-24 Male Iran, Islamic Republic of...
## 1550 30-34 Male Ukraine
## 1551 50-54 Female United States of America
## 1552 22-24 Male Russia
## 1553 22-24 Male India
## 1554 22-24 Male India
## 1555 55-59 Male Other
## 1556 40-44 Prefer not to say United States of America
## 1557 40-44 Male Australia
## 1558 30-34 Female Australia
## 1559 45-49 Male United States of America
## 1560 35-39 Male United States of America
## 1561 35-39 Male New Zealand
## 1562 45-49 Male Chile
## 1563 35-39 Male Italy
## 1564 35-39 Male Japan
## 1565 30-34 Male United Kingdom
## 1566 25-29 Male Ireland
## 1567 40-44 Male Germany
## 1568 25-29 Female Germany
## 1569 25-29 Male Other
## 1570 22-24 Female Ukraine
## 1571 25-29 Male Brazil
## 1572 30-34 Female Chile
## 1573 35-39 Male South Korea
## 1574 35-39 Male Egypt
## 1575 35-39 Female Colombia
## 1576 25-29 Male Brazil
## 1577 50-54 Prefer to self-describe Brazil
## 1578 18-21 Female India
## 1579 25-29 Male Russia
## 1580 18-21 Male United States of America
## 1581 45-49 Male Netherlands
## 1582 40-44 Male United States of America
## 1583 22-24 Male Spain
## 1584 30-34 Male Germany
## 1585 25-29 Male United States of America
## 1586 25-29 Male Belgium
## 1587 30-34 Male Brazil
## 1588 22-24 Male Italy
## 1589 25-29 Male United States of America
## 1590 40-44 Male Australia
## 1591 25-29 Male Other
## 1592 70+ Male Brazil
## 1593 30-34 Male Norway
## 1594 22-24 Male Austria
## 1595 30-34 Male United States of America
## 1596 30-34 Male Mexico
## 1597 40-44 Male Germany
## 1598 18-21 Male India
## 1599 40-44 Female Germany
## 1600 35-39 Female United States of America
## 1601 22-24 Male Tunisia
## 1602 35-39 Male Japan
## 1603 25-29 Male Belarus
## 1604 35-39 Male Viet Nam
## 1605 50-54 Male Canada
## 1606 30-34 Male United States of America
## 1607 35-39 Male Brazil
## 1608 40-44 Male Spain
## 1609 35-39 Male Germany
## 1610 22-24 Female United States of America
## 1611 35-39 Male United States of America
## 1612 18-21 Male India
## 1613 25-29 Male United States of America
## 1614 45-49 Male United States of America
## 1615 40-44 Male United States of America
## 1616 40-44 Male South Africa
## 1617 18-21 Male India
## 1618 30-34 Male Turkey
## 1619 50-54 Male United States of America
## 1620 35-39 Female Other
## 1621 30-34 Prefer not to say United States of America
## 1622 60-69 Male United States of America
## 1623 30-34 Male India
## 1624 35-39 Male Romania
## 1625 50-54 Female Nigeria
## 1626 55-59 Male United States of America
## 1627 25-29 Female Germany
## 1628 35-39 Female United Kingdom
## 1629 40-44 Male Germany
## 1630 30-34 Male Australia
## 1631 35-39 Male Portugal
## 1632 22-24 Female Other
## 1633 25-29 Male Hungary
## 1634 55-59 Male United States of America
## 1635 25-29 Male United States of America
## 1636 35-39 Male United States of America
## 1637 25-29 Male Germany
## 1638 35-39 Male Turkey
## 1639 22-24 Male India
## 1640 35-39 Male Australia
## 1641 22-24 Male Egypt
## 1642 30-34 Male Argentina
## 1643 25-29 Female United States of America
## 1644 35-39 Male United States of America
## 1645 50-54 Male United States of America
## 1646 35-39 Male Australia
## 1647 22-24 Male Romania
## 1648 25-29 Male Nigeria
## 1649 25-29 Male Russia
## 1650 25-29 Female India
## 1651 18-21 Male India
## 1652 30-34 Male Other
## 1653 30-34 Male Spain
## 1654 22-24 Male Japan
## 1655 35-39 Male Portugal
## 1656 45-49 Male Morocco
## 1657 50-54 Male India
## 1658 40-44 Male Australia
## 1659 40-44 Male Australia
## 1660 30-34 Male United States of America
## 1661 40-44 Male Germany
## 1662 30-34 Male United Kingdom
## 1663 35-39 Male Turkey
## 1664 50-54 Male United States of America
## 1665 25-29 Male United States of America
## 1666 25-29 Male United States of America
## 1667 18-21 Male India
## 1668 25-29 Male United States of America
## 1669 45-49 Male United States of America
## 1670 25-29 Male Australia
## 1671 25-29 Male India
## 1672 18-21 Female Japan
## 1673 25-29 Male India
## 1674 35-39 Male United Kingdom
## 1675 70+ Male United States of America
## 1676 30-34 Male Canada
## 1677 40-44 Male United States of America
## 1678 25-29 Male United Kingdom
## 1679 40-44 Male Other
## 1680 35-39 Male United States of America
## 1681 60-69 Male Netherlands
## 1682 50-54 Male United Kingdom
## 1683 30-34 Male United States of America
## 1684 35-39 Female United States of America
## 1685 25-29 Male United States of America
## 1686 25-29 Male Nigeria
## 1687 30-34 Male Turkey
## 1688 45-49 Male Norway
## 1689 35-39 Male Italy
## 1690 35-39 Male Spain
## 1691 30-34 Female Canada
## 1692 40-44 Male Peru
## 1693 18-21 Male United States of America
## 1694 18-21 Male United States of America
## 1695 45-49 Male Australia
## 1696 22-24 Female Tunisia
## 1697 40-44 Prefer not to say Portugal
## 1698 35-39 Male Australia
## 1699 35-39 Male Germany
## 1700 30-34 Male Other
## 1701 60-69 Female United States of America
## 1702 25-29 Male Other
## 1703 35-39 Male Canada
## 1704 35-39 Male United States of America
## 1705 70+ Male United States of America
## 1706 22-24 Male Indonesia
## 1707 18-21 Male Nigeria
## 1708 25-29 Female United States of America
## 1709 30-34 Prefer to self-describe United States of America
## 1710 40-44 Female Canada
## 1711 25-29 Female United States of America
## 1712 18-21 Male Pakistan
## 1713 45-49 Male United States of America
## 1714 30-34 Male United States of America
## 1715 35-39 Male Brazil
## 1716 40-44 Male India
## 1717 30-34 Male Brazil
## 1718 22-24 Male Italy
## 1719 22-24 Male Other
## 1720 30-34 Female India
## 1721 25-29 Prefer not to say Spain
## 1722 18-21 Male India
## 1723 40-44 Male Morocco
## 1724 22-24 Male Colombia
## 1725 18-21 Male United States of America
## 1726 30-34 Male United Kingdom
## 1727 60-69 Male Canada
## 1728 30-34 Male Australia
## 1729 18-21 Male Other
## 1730 22-24 Male Mexico
## 1731 35-39 Female United States of America
## 1732 40-44 Male United States of America
## 1733 45-49 Male United States of America
## 1734 55-59 Male Italy
## 1735 25-29 Male Peru
## 1736 40-44 Male Other
## 1737 35-39 Male Japan
## 1738 40-44 Male Canada
## 1739 40-44 Male United States of America
## 1740 45-49 Male Spain
## 1741 18-21 Male Iran, Islamic Republic of...
## 1742 35-39 Male Germany
## 1743 22-24 Male United States of America
## 1744 30-34 Male United States of America
## 1745 40-44 Male Germany
## 1746 35-39 Male Norway
## 1747 22-24 Male United States of America
## 1748 50-54 Male United States of America
## 1749 30-34 Female United States of America
## 1750 25-29 Male Austria
## 1751 50-54 Male Czech Republic
## 1752 25-29 Female United States of America
## 1753 25-29 Male Egypt
## 1754 30-34 Female France
## 1755 22-24 Male Italy
## 1756 22-24 Female Germany
## 1757 55-59 Male United States of America
## 1758 40-44 Female United States of America
## 1759 25-29 Male India
## 1760 70+ Male Canada
## 1761 35-39 Male Colombia
## 1762 22-24 Male United States of America
## 1763 25-29 Male India
## 1764 25-29 Male India
## 1765 45-49 Male United States of America
## 1766 30-34 Male Canada
## 1767 18-21 Female United States of America
## 1768 35-39 Male United States of America
## 1769 40-44 Male Belgium
## 1770 35-39 Male Other
## 1771 30-34 Male Mexico
## 1772 25-29 Male India
## 1773 22-24 Male Portugal
## 1774 22-24 Male Other
## 1775 35-39 Male Canada
## 1776 22-24 Male Israel
## 1777 40-44 Female Canada
## 1778 30-34 Male Canada
## 1779 30-34 Male Morocco
## 1780 35-39 Male Canada
## 1781 22-24 Female India
## 1782 35-39 Male Other
## 1783 22-24 Male United States of America
## 1784 50-54 Male Brazil
## 1785 30-34 Male Norway
## 1786 25-29 Female Turkey
## 1787 25-29 Male Japan
## 1788 55-59 Male Other
## 1789 18-21 Male Other
## 1790 25-29 Male Brazil
## 1791 30-34 Male Sweden
## 1792 22-24 Male India
## 1793 25-29 Male United States of America
## 1794 30-34 Female United States of America
## 1795 25-29 Male United States of America
## 1796 25-29 Male United States of America
## 1797 40-44 Male Other
## 1798 30-34 Male Canada
## 1799 35-39 Male Australia
## 1800 18-21 Male India
## 1801 30-34 Male Turkey
## 1802 25-29 Female France
## 1803 30-34 Male United States of America
## 1804 18-21 Male India
## 1805 30-34 Male United Kingdom
## 1806 35-39 Male United States of America
## 1807 50-54 Female Brazil
## 1808 25-29 Male United States of America
## 1809 35-39 Female Pakistan
## 1810 40-44 Male Romania
## 1811 40-44 Male Portugal
## 1812 22-24 Male United States of America
## 1813 40-44 Male United States of America
## 1814 60-69 Male Brazil
## 1815 70+ Male Canada
## 1816 25-29 Male Australia
## 1817 35-39 Male Other
## 1818 60-69 Male United States of America
## 1819 45-49 Male United States of America
## 1820 35-39 Male United States of America
## 1821 18-21 Male United States of America
## 1822 35-39 Male Algeria
## 1823 30-34 Male Australia
## 1824 25-29 Male Sweden
## 1825 30-34 Male United States of America
## 1826 40-44 Male France
## 1827 30-34 Male Ukraine
## 1828 30-34 Male Argentina
## 1829 35-39 Male Japan
## 1830 30-34 Male United States of America
## 1831 55-59 Male Australia
## 1832 50-54 Male United States of America
## 1833 22-24 Male India
## 1834 22-24 Male United States of America
## 1835 30-34 Male United States of America
## 1836 18-21 Male India
## 1837 22-24 Male Canada
## 1838 60-69 Male Netherlands
## 1839 50-54 Male Spain
## 1840 35-39 Male Other
## 1841 22-24 Male United Kingdom
## 1842 60-69 Male Other
## 1843 22-24 Male United States of America
## 1844 22-24 Male Iran, Islamic Republic of...
## 1845 35-39 Female United States of America
## 1846 18-21 Male India
## 1847 70+ Male United States of America
## 1848 30-34 Male Spain
## 1849 30-34 Male United States of America
## 1850 40-44 Male Taiwan
## 1851 18-21 Male Nigeria
## 1852 25-29 Male Russia
## 1853 25-29 Female United States of America
## 1854 25-29 Male United States of America
## 1855 55-59 Male United States of America
## 1856 30-34 Male Malaysia
## 1857 50-54 Male United States of America
## 1858 70+ Male United States of America
## 1859 25-29 Female Spain
## 1860 22-24 Male Japan
## 1861 35-39 Male Switzerland
## 1862 22-24 Male Argentina
## 1863 22-24 Male India
## 1864 40-44 Female Algeria
## 1865 25-29 Male United States of America
## 1866 50-54 Male Canada
## 1867 35-39 Female Turkey
## 1868 40-44 Male United States of America
## 1869 25-29 Male Brazil
## 1870 30-34 Male Taiwan
## 1871 22-24 Male Australia
## 1872 25-29 Male Other
## 1873 22-24 Male Greece
## 1874 18-21 Male United States of America
## 1875 60-69 Male United States of America
## 1876 60-69 Male United States of America
## 1877 45-49 Male Other
## 1878 45-49 Male Germany
## 1879 30-34 Male United Kingdom
## 1880 18-21 Male Philippines
## 1881 22-24 Male Nigeria
## 1882 40-44 Male Australia
## 1883 25-29 Male Other
## 1884 18-21 Male India
## 1885 25-29 Female United States of America
## 1886 35-39 Male New Zealand
## 1887 40-44 Male Brazil
## 1888 25-29 Male United Kingdom
## 1889 30-34 Male Turkey
## 1890 18-21 Male Brazil
## 1891 40-44 Male United States of America
## 1892 35-39 Male United States of America
## 1893 25-29 Male France
## 1894 30-34 Male Mexico
## 1895 22-24 Male Japan
## 1896 25-29 Female United States of America
## 1897 18-21 Male Canada
## 1898 35-39 Male United States of America
## 1899 35-39 Male Germany
## 1900 22-24 Male Tunisia
## 1901 30-34 Male Australia
## 1902 25-29 Male Morocco
## 1903 25-29 Male Australia
## 1904 45-49 Male United States of America
## 1905 22-24 Male Colombia
## 1906 50-54 Male Brazil
## 1907 40-44 Male United States of America
## 1908 30-34 Female United States of America
## 1909 18-21 Male Russia
## 1910 30-34 Male Netherlands
## 1911 18-21 Male United States of America
## 1912 30-34 Female Brazil
## 1913 22-24 Male Portugal
## 1914 40-44 Male United States of America
## 1915 45-49 Male Peru
## 1916 40-44 Male Singapore
## 1917 35-39 Male United States of America
## 1918 25-29 Male Japan
## 1919 18-21 Male India
## 1920 45-49 Male United States of America
## 1921 22-24 Female Tunisia
## 1922 30-34 Male Nigeria
## 1923 22-24 Male United States of America
## 1924 35-39 Male South Korea
## 1925 50-54 Male Argentina
## 1926 25-29 Male India
## 1927 30-34 Male United States of America
## 1928 22-24 Male Morocco
## 1929 25-29 Male Japan
## 1930 22-24 Male United States of America
## 1931 22-24 Male Colombia
## 1932 18-21 Male Nigeria
## 1933 50-54 Male Australia
## 1934 25-29 Male Brazil
## 1935 30-34 Male Argentina
## 1936 25-29 Male United Kingdom
## 1937 22-24 Female United States of America
## 1938 35-39 Male Australia
## 1939 25-29 Female Malaysia
## 1940 25-29 Male Japan
## 1941 45-49 Male Brazil
## 1942 30-34 Male Japan
## 1943 22-24 Male South Africa
## 1944 30-34 Female Taiwan
## 1945 25-29 Male United States of America
## 1946 60-69 Male Japan
## 1947 25-29 Male United States of America
## 1948 30-34 Male Russia
## 1949 50-54 Male Taiwan
## 1950 25-29 Male Morocco
## 1951 25-29 Male Brazil
## 1952 30-34 Male United States of America
## 1953 35-39 Male Iran, Islamic Republic of...
## 1954 22-24 Male Italy
## 1955 55-59 Female United States of America
## 1956 30-34 Male Australia
## 1957 35-39 Male Taiwan
## 1958 35-39 Male Turkey
## 1959 45-49 Male Mexico
## 1960 45-49 Female United States of America
## 1961 22-24 Male Malaysia
## 1962 50-54 Male United States of America
## 1963 55-59 Male United States of America
## 1964 25-29 Male Brazil
## 1965 40-44 Male Taiwan
## 1966 30-34 Male Japan
## 1967 25-29 Male United States of America
## 1968 45-49 Male United States of America
## 1969 25-29 Female United Kingdom
## 1970 30-34 Male United States of America
## 1971 25-29 Male Belarus
## 1972 18-21 Male Colombia
## 1973 45-49 Male United States of America
## 1974 35-39 Prefer to self-describe Canada
## 1975 25-29 Male India
## 1976 35-39 Male Germany
## 1977 40-44 Female United States of America
## 1978 40-44 Male Argentina
## 1979 22-24 Male Tunisia
## 1980 25-29 Male Canada
## 1981 18-21 Male Indonesia
## 1982 25-29 Male Brazil
## 1983 25-29 Male Other
## 1984 30-34 Male Japan
## 1985 35-39 Male United States of America
## 1986 25-29 Male China
## 1987 45-49 Male Australia
## 1988 30-34 Male United States of America
## 1989 25-29 Female United Kingdom
## 1990 30-34 Male United States of America
## 1991 22-24 Male United Kingdom
## 1992 30-34 Male Brazil
## 1993 30-34 Male United States of America
## 1994 25-29 Male Nigeria
## 1995 22-24 Male Brazil
## 1996 35-39 Female United States of America
## 1997 25-29 Female Poland
## 1998 30-34 Male United States of America
## 1999 25-29 Male Colombia
## 2000 22-24 Male Brazil
## 2001 25-29 Female Brazil
## 2002 18-21 Male United States of America
## 2003 25-29 Male United States of America
## 2004 35-39 Female Canada
## 2005 25-29 Male United States of America
## 2006 25-29 Male Algeria
## 2007 25-29 Male Australia
## 2008 40-44 Male Argentina
## 2009 30-34 Male Brazil
## 2010 40-44 Male United Kingdom
## 2011 60-69 Male United States of America
## 2012 22-24 Male Spain
## 2013 50-54 Male United States of America
## 2014 30-34 Male Malaysia
## 2015 25-29 Male Mexico
## 2016 25-29 Male Japan
## 2017 30-34 Female Other
## 2018 60-69 Male United States of America
## 2019 35-39 Male United States of America
## 2020 45-49 Male Mexico
## 2021 25-29 Male Peru
## 2022 25-29 Male United States of America
## 2023 22-24 Female United States of America
## 2024 22-24 Male Philippines
## 2025 40-44 Male Japan
## 2026 25-29 Male United States of America
## 2027 18-21 Male Iran, Islamic Republic of...
## 2028 30-34 Male Argentina
## 2029 25-29 Male France
## 2030 35-39 Male Switzerland
## 2031 40-44 Male United States of America
## 2032 18-21 Male India
## 2033 40-44 Male Singapore
## 2034 22-24 Female United States of America
## 2035 25-29 Male United States of America
## 2036 22-24 Male Indonesia
## 2037 35-39 Male Australia
## 2038 50-54 Male Australia
## 2039 40-44 Male United States of America
## 2040 30-34 Male Other
## 2041 55-59 Male United States of America
## 2042 22-24 Prefer not to say United States of America
## 2043 35-39 Male Brazil
## 2044 30-34 Male Germany
## 2045 22-24 Male India
## 2046 45-49 Female United States of America
## 2047 35-39 Male Germany
## 2048 18-21 Male Japan
## 2049 22-24 Male Nigeria
## 2050 18-21 Male United States of America
## 2051 25-29 Male Germany
## 2052 22-24 Male United Kingdom
## 2053 30-34 Male Japan
## 2054 25-29 Male United States of America
## 2055 30-34 Male Japan
## 2056 35-39 Male Brazil
## 2057 70+ Male United States of America
## 2058 25-29 Male Brazil
## 2059 22-24 Male Mexico
## 2060 25-29 Female Turkey
## 2061 45-49 Prefer not to say Colombia
## 2062 40-44 Male Argentina
## 2063 40-44 Female Canada
## 2064 40-44 Female United States of America
## 2065 45-49 Male United Kingdom
## 2066 25-29 Male United States of America
## 2067 30-34 Male Australia
## 2068 40-44 Male United States of America
## 2069 30-34 Male United States of America
## 2070 35-39 Male United States of America
## 2071 60-69 Male United States of America
## 2072 35-39 Male Mexico
## 2073 25-29 Male United Kingdom
## 2074 25-29 Male Japan
## 2075 35-39 Male United States of America
## 2076 50-54 Male Brazil
## 2077 45-49 Female Canada
## 2078 40-44 Male Australia
## 2079 30-34 Female Other
## 2080 30-34 Male Australia
## 2081 22-24 Male Japan
## 2082 30-34 Male Portugal
## 2083 35-39 Male Republic of Korea
## 2084 25-29 Male Brazil
## 2085 45-49 Male Colombia
## 2086 30-34 Male Poland
## 2087 40-44 Male Peru
## 2088 30-34 Female United States of America
## 2089 40-44 Male Taiwan
## 2090 45-49 Male United States of America
## 2091 55-59 Male Russia
## 2092 25-29 Male Indonesia
## 2093 40-44 Female Malaysia
## 2094 55-59 Prefer not to say Other
## 2095 22-24 Male Ireland
## 2096 35-39 Male Other
## 2097 18-21 Male India
## 2098 25-29 Male United States of America
## 2099 35-39 Male United States of America
## 2100 70+ Female Brazil
## 2101 45-49 Male Japan
## 2102 18-21 Male Colombia
## 2103 25-29 Male United States of America
## 2104 35-39 Prefer not to say Spain
## 2105 45-49 Male Hong Kong (S.A.R.)
## 2106 22-24 Male Japan
## 2107 40-44 Male South Korea
## 2108 45-49 Female United States of America
## 2109 40-44 Male Brazil
## 2110 35-39 Male Republic of Korea
## 2111 25-29 Male Japan
## 2112 22-24 Male Pakistan
## 2113 25-29 Male Malaysia
## 2114 35-39 Female Chile
## 2115 35-39 Male India
## 2116 22-24 Male South Korea
## 2117 30-34 Female United States of America
## 2118 22-24 Male Canada
## 2119 55-59 Male United Kingdom
## 2120 35-39 Male Philippines
## 2121 18-21 Male Turkey
## 2122 18-21 Male India
## 2123 25-29 Female Canada
## 2124 40-44 Male United States of America
## 2125 35-39 Female Malaysia
## 2126 55-59 Male United States of America
## 2127 45-49 Male Taiwan
## 2128 25-29 Male Singapore
## 2129 30-34 Male United States of America
## 2130 22-24 Male United States of America
## 2131 18-21 Female India
## 2132 35-39 Female United States of America
## 2133 30-34 Male Japan
## 2134 18-21 Male Indonesia
## 2135 40-44 Male Japan
## 2136 30-34 Male United States of America
## 2137 45-49 Male United States of America
## 2138 35-39 Male United States of America
## 2139 22-24 Male United States of America
## 2140 40-44 Male Japan
## 2141 22-24 Female Japan
## 2142 18-21 Male India
## 2143 35-39 Male United States of America
## 2144 30-34 Male Nigeria
## 2145 22-24 Female Malaysia
## 2146 50-54 Male Indonesia
## 2147 25-29 Male Japan
## 2148 30-34 Male India
## 2149 60-69 Male Japan
## 2150 60-69 Male Chile
## 2151 30-34 Male Japan
## 2152 35-39 Male Australia
## 2153 30-34 Male United States of America
## 2154 25-29 Female Indonesia
## 2155 30-34 Male United States of America
## 2156 22-24 Male United States of America
## 2157 22-24 Male Japan
## 2158 35-39 Male Japan
## 2159 45-49 Male Japan
## 2160 35-39 Male Colombia
## 2161 50-54 Male Argentina
## 2162 40-44 Male United States of America
## 2163 30-34 Male Canada
## 2164 30-34 Male United States of America
## 2165 45-49 Male New Zealand
## 2166 22-24 Male Philippines
## 2167 40-44 Male Republic of Korea
## 2168 18-21 Male China
## 2169 40-44 Male India
## 2170 25-29 Male Singapore
## 2171 22-24 Male China
## 2172 30-34 Male Malaysia
## 2173 35-39 Male United States of America
## 2174 40-44 Male Malaysia
## 2175 18-21 Male India
## 2176 50-54 Male Japan
## 2177 40-44 Female Singapore
## 2178 45-49 Male United States of America
## 2179 25-29 Male Belarus
## 2180 25-29 Male United States of America
## 2181 25-29 Male Japan
## 2182 60-69 Male Canada
## 2183 22-24 Male United States of America
## 2184 25-29 Female United States of America
## 2185 22-24 Female United States of America
## 2186 45-49 Male Brazil
## 2187 18-21 Male Viet Nam
## 2188 40-44 Prefer not to say United States of America
## 2189 30-34 Male United Kingdom
## 2190 22-24 Male India
## 2191 45-49 Male United States of America
## 2192 35-39 Male Brazil
## 2193 22-24 Male India
## 2194 45-49 Male Spain
## 2195 30-34 Female India
## 2196 30-34 Male United States of America
## 2197 35-39 Male Malaysia
## 2198 22-24 Male United States of America
## 2199 30-34 Female Taiwan
## 2200 25-29 Male Taiwan
## 2201 40-44 Female Japan
## 2202 30-34 Male United States of America
## 2203 40-44 Male Japan
## 2204 30-34 Male Argentina
## 2205 25-29 Male Canada
## 2206 50-54 Male Australia
## 2207 25-29 Male United Kingdom
## 2208 40-44 Male Japan
## 2209 25-29 Male United States of America
## 2210 22-24 Male Japan
## 2211 30-34 Male Japan
## 2212 25-29 Female United States of America
## 2213 25-29 Male United States of America
## 2214 45-49 Male Russia
## 2215 22-24 Male Colombia
## 2216 22-24 Female Canada
## 2217 60-69 Male United States of America
## 2218 30-34 Male Singapore
## 2219 25-29 Male Other
## 2220 25-29 Male Argentina
## 2221 25-29 Male Philippines
## 2222 30-34 Female United States of America
## 2223 25-29 Female United States of America
## 2224 40-44 Male United States of America
## 2225 35-39 Male India
## 2226 25-29 Female Canada
## 2227 30-34 Male Brazil
## 2228 45-49 Male Thailand
## 2229 40-44 Male United States of America
## 2230 35-39 Male Hong Kong (S.A.R.)
## 2231 40-44 Male United States of America
## 2232 22-24 Male South Africa
## 2233 25-29 Male Malaysia
## 2234 22-24 Male United States of America
## 2235 40-44 Male Japan
## 2236 45-49 Male India
## 2237 40-44 Male Chile
## 2238 30-34 Male Colombia
## 2239 18-21 Male India
## 2240 18-21 Male China
## 2241 22-24 Male Brazil
## 2242 25-29 Prefer not to say Philippines
## 2243 35-39 Male United States of America
## 2244 25-29 Female Mexico
## 2245 30-34 Male Singapore
## 2246 45-49 Male United States of America
## 2247 25-29 Female United States of America
## 2248 22-24 Female South Africa
## 2249 22-24 Male Viet Nam
## 2250 25-29 Male United States of America
## 2251 22-24 Male Other
## 2252 30-34 Female United States of America
## 2253 25-29 Male Germany
## 2254 30-34 Male Brazil
## 2255 25-29 Male Argentina
## 2256 30-34 Male United States of America
## 2257 45-49 Female South Korea
## 2258 35-39 Male United States of America
## 2259 30-34 Male Brazil
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## 2267 18-21 Male India
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## 2379 35-39 Male United States of America
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## 2400 18-21 Male India
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## 2423 25-29 Prefer not to say Taiwan
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## 2441 18-21 Male India
## 2442 18-21 Male India
## 2443 25-29 Male United States of America
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## 2448 30-34 Male United States of America
## 2449 40-44 Male Peru
## 2450 35-39 Male United States of America
## 2451 40-44 Male Brazil
## 2452 35-39 Male United States of America
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## 2455 40-44 Male Colombia
## 2456 60-69 Male United States of America
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## 2470 22-24 Male China
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## 2472 22-24 Male India
## 2473 30-34 Male Malaysia
## 2474 40-44 Male United States of America
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## 2483 35-39 Male India
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## 2518 22-24 Male India
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## 2522 25-29 Male India
## 2523 22-24 Male India
## 2524 25-29 Male India
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## 2598 18-21 Male India
## 2599 30-34 Male India
## 2600 45-49 Male India
## 2601 22-24 Male India
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## 2603 18-21 Prefer not to say India
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## 2609 18-21 Female India
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## 2613 25-29 Male Singapore
## 2614 18-21 Male India
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## 2629 22-24 Male Taiwan
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## 2717 18-21 Male India
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## 2939 25-29 Female United States of America
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## 4613 55-59 Male Chile
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## 4753 35-39 Male Spain
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## 4756 18-21 Male China
## 4757 40-44 Male United States of America
## 4758 40-44 Prefer not to say United States of America
## 4759 25-29 Male Belgium
## 4760 50-54 Male United States of America
## 4761 40-44 Male United States of America
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## 4764 35-39 Male United States of America
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## 4766 25-29 Male India
## 4767 18-21 Male India
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## 4782 25-29 Male United States of America
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## 4786 25-29 Male Chile
## 4787 18-21 Male India
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## 4790 18-21 Male India
## 4791 22-24 Male India
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## 4799 25-29 Male India
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## 4824 22-24 Male United States of America
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## 4853 22-24 Male Argentina
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## 5088 18-21 Prefer not to say India
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## 5099 30-34 Prefer to self-describe United States of America
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## 5208 25-29 Male United States of America
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## 5214 40-44 Male United States of America
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## 5216 30-34 Male United States of America
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## 5218 40-44 Male United States of America
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## 5220 55-59 Male United States of America
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## 5226 50-54 Male United States of America
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## 5254 60-69 Male United States of America
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## 5287 40-44 Male United States of America
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## 5290 35-39 Male United States of America
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## 5292 30-34 Female India
## 5293 50-54 Male Mexico
## 5294 30-34 Male Republic of Korea
## 5295 45-49 Male United States of America
## 5296 25-29 Male China
## 5297 35-39 Male United States of America
## 5298 30-34 Female Japan
## 5299 45-49 Male Peru
## 5300 30-34 Male Australia
## 5301 25-29 Male Chile
## 5302 35-39 Male Viet Nam
## 5303 35-39 Male United States of America
## 5304 40-44 Male Japan
## 5305 22-24 Male Thailand
## 5306 30-34 Male Israel
## 5307 45-49 Male South Korea
## 5308 18-21 Male China
## 5309 25-29 Male Hong Kong (S.A.R.)
## 5310 30-34 Male Thailand
## 5311 25-29 Male Canada
## 5312 25-29 Male United States of America
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## 5314 25-29 Female Viet Nam
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## 5316 30-34 Male United States of America
## 5317 30-34 Female United States of America
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## 5319 18-21 Male India
## 5320 22-24 Female China
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## 5322 18-21 Male Nigeria
## 5323 30-34 Male Brazil
## 5324 22-24 Male India
## 5325 25-29 Male United States of America
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## 5327 25-29 Male Hong Kong (S.A.R.)
## 5328 22-24 Female India
## 5329 35-39 Prefer not to say United States of America
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## 5331 35-39 Male Taiwan
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## 5334 22-24 Male India
## 5335 55-59 Male India
## 5336 18-21 Male Colombia
## 5337 22-24 Female Australia
## 5338 25-29 Male United States of America
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## 5377 18-21 Male India
## 5378 18-21 Male India
## 5379 18-21 Male India
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## 5381 25-29 Male India
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## 5396 25-29 Male India
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## 5474 40-44 Male South Africa
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## 5479 30-34 Male France
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## 5483 40-44 Male United Kingdom
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## 5485 40-44 Male Other
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## 5487 40-44 Female Portugal
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## 5489 70+ Male Russia
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## 5491 25-29 Male France
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## 5493 30-34 Male China
## 5494 55-59 Male Egypt
## 5495 25-29 Male Portugal
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## 5497 25-29 Male Indonesia
## 5498 30-34 Male Russia
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## 5503 40-44 Male Other
## 5504 30-34 Male India
## 5505 22-24 Female India
## 5506 60-69 Male Japan
## 5507 22-24 Female India
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## 5509 25-29 Male India
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## 5514 55-59 Male France
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## 5516 25-29 Male Poland
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## 5518 30-34 Male India
## 5519 25-29 Male United Kingdom
## 5520 50-54 Male India
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## 5522 18-21 Male United States of America
## 5523 35-39 Male Taiwan
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## 5525 25-29 Male India
## 5526 40-44 Male Czech Republic
## 5527 45-49 Male United Kingdom
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## 5547 25-29 Prefer not to say India
## 5548 35-39 Male United Kingdom
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## 5567 25-29 Female Czech Republic
## 5568 40-44 Male United Kingdom
## 5569 40-44 Prefer not to say Thailand
## 5570 25-29 Male Japan
## 5571 25-29 Male South Korea
## 5572 45-49 Male India
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## 5574 40-44 Female Germany
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## 5588 35-39 Male India
## 5589 30-34 Female Israel
## 5590 35-39 Prefer not to say Other
## 5591 30-34 Male United Kingdom
## 5592 18-21 Male India
## 5593 25-29 Male Other
## 5594 25-29 Male India
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## 5598 35-39 Male Turkey
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## 5611 45-49 Male India
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## 5613 40-44 Male France
## 5614 25-29 Male Italy
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## 5616 22-24 Male India
## 5617 22-24 Male South Korea
## 5618 18-21 Male India
## 5619 18-21 Male India
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## 5621 22-24 Male China
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## 5623 45-49 Male Brazil
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## 5625 35-39 Female Germany
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## 5635 40-44 Male United States of America
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## 5638 25-29 Male United States of America
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## 5640 40-44 Male India
## 5641 35-39 Male Greece
## 5642 35-39 Female United States of America
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## 5645 25-29 Male India
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## 5648 30-34 Male Iran, Islamic Republic of...
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## 5651 35-39 Male United States of America
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## 5782 35-39 Male India
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## 5796 30-34 Female India
## 5797 25-29 Prefer to self-describe United States of America
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## 5995 30-34 Male India
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## 6109 35-39 Male India
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## 6111 35-39 Male Norway
## 6112 18-21 Male India
## 6113 60-69 Male Canada
## 6114 40-44 Male Turkey
## 6115 50-54 Male Belgium
## 6116 35-39 Male Other
## 6117 30-34 Male India
## 6118 25-29 Female India
## 6119 25-29 Female Russia
## 6120 22-24 Male Brazil
## 6121 22-24 Female India
## 6122 18-21 Male Ukraine
## 6123 22-24 Male Spain
## 6124 25-29 Male Turkey
## 6125 25-29 Male Ukraine
## 6126 40-44 Male Other
## 6127 35-39 Male Hong Kong (S.A.R.)
## 6128 40-44 Male United States of America
## 6129 30-34 Male Australia
## 6130 30-34 Male Other
## 6131 30-34 Male Norway
## 6132 22-24 Male Kenya
## 6133 25-29 Male Morocco
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## 6135 40-44 Male Other
## 6136 22-24 Female India
## 6137 45-49 Male United States of America
## 6138 35-39 Male Brazil
## 6139 30-34 Male Brazil
## 6140 30-34 Male Italy
## 6141 35-39 Male South Africa
## 6142 50-54 Prefer not to say India
## 6143 25-29 Male Austria
## 6144 30-34 Male Australia
## 6145 22-24 Male India
## 6146 22-24 Female Other
## 6147 45-49 Male United Kingdom
## 6148 55-59 Male Japan
## 6149 18-21 Male India
## 6150 22-24 Male Other
## 6151 35-39 Male Germany
## 6152 50-54 Male Spain
## 6153 30-34 Male Egypt
## 6154 45-49 Male Argentina
## 6155 30-34 Male Hong Kong (S.A.R.)
## 6156 30-34 Male United States of America
## 6157 30-34 Male United States of America
## 6158 18-21 Male Brazil
## 6159 25-29 Female India
## 6160 30-34 Male United States of America
## 6161 25-29 Male China
## 6162 22-24 Male India
## 6163 18-21 Male Spain
## 6164 60-69 Male United States of America
## 6165 25-29 Male Brazil
## 6166 25-29 Male Chile
## 6167 40-44 Male India
## 6168 22-24 Male United States of America
## 6169 18-21 Female Taiwan
## 6170 35-39 Female United States of America
## 6171 35-39 Male India
## 6172 30-34 Male Nigeria
## 6173 25-29 Male United Kingdom
## 6174 30-34 Male Brazil
## 6175 60-69 Male Belarus
## 6176 40-44 Male Brazil
## 6177 25-29 Male South Africa
## 6178 22-24 Female Poland
## 6179 22-24 Female India
## 6180 30-34 Male Portugal
## 6181 25-29 Female Netherlands
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## 6184 22-24 Male India
## 6185 30-34 Male India
## 6186 45-49 Male United States of America
## 6187 30-34 Male Poland
## 6188 25-29 Male Brazil
## 6189 22-24 Male India
## 6190 40-44 Male Russia
## 6191 45-49 Male United States of America
## 6192 25-29 Male United States of America
## 6193 30-34 Male Mexico
## 6194 30-34 Male India
## 6195 30-34 Male Canada
## 6196 22-24 Female United States of America
## 6197 35-39 Male Netherlands
## 6198 35-39 Male Brazil
## 6199 35-39 Female United Kingdom
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## 6201 18-21 Male India
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## 6203 18-21 Male United Kingdom
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## 6205 30-34 Male India
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## 6211 40-44 Female Portugal
## 6212 40-44 Male United States of America
## 6213 25-29 Male China
## 6214 60-69 Male Canada
## 6215 22-24 Male India
## 6216 30-34 Male Canada
## 6217 35-39 Male United States of America
## 6218 25-29 Female India
## 6219 30-34 Male Ukraine
## 6220 35-39 Male India
## 6221 25-29 Male Netherlands
## 6222 30-34 Male Germany
## 6223 30-34 Male Brazil
## 6224 50-54 Male United States of America
## 6225 40-44 Male Portugal
## 6226 30-34 Male Other
## 6227 30-34 Female United States of America
## 6228 18-21 Male India
## 6229 25-29 Male Mexico
## 6230 25-29 Male Nigeria
## 6231 18-21 Prefer not to say India
## 6232 30-34 Male Colombia
## 6233 30-34 Female United States of America
## 6234 25-29 Male United States of America
## 6235 40-44 Male Philippines
## 6236 35-39 Male Hungary
## 6237 40-44 Male India
## 6238 60-69 Male Japan
## 6239 22-24 Male Pakistan
## 6240 35-39 Male India
## 6241 30-34 Male Brazil
## 6242 60-69 Male Netherlands
## 6243 30-34 Male Greece
## 6244 18-21 Male India
## 6245 60-69 Male United States of America
## 6246 30-34 Male Japan
## 6247 22-24 Male United States of America
## 6248 30-34 Male Germany
## 6249 55-59 Male United States of America
## 6250 30-34 Male Mexico
## 6251 35-39 Male Netherlands
## 6252 18-21 Male India
## 6253 30-34 Female Japan
## 6254 22-24 Male Indonesia
## 6255 22-24 Male Other
## 6256 40-44 Male Colombia
## 6257 40-44 Male Mexico
## 6258 22-24 Male United States of America
## 6259 35-39 Male United States of America
## 6260 25-29 Female United States of America
## 6261 30-34 Male Poland
## 6262 35-39 Male Germany
## 6263 35-39 Male Germany
## 6264 25-29 Male Philippines
## 6265 30-34 Male United States of America
## 6266 25-29 Male Poland
## 6267 35-39 Male United States of America
## 6268 30-34 Female Germany
## 6269 22-24 Male Other
## 6270 25-29 Prefer not to say Denmark
## 6271 25-29 Male United States of America
## 6272 18-21 Male United States of America
## 6273 40-44 Male United States of America
## 6274 40-44 Male United States of America
## 6275 60-69 Male Peru
## 6276 22-24 Male United States of America
## 6277 22-24 Male United States of America
## 6278 30-34 Male United States of America
## 6279 25-29 Male Russia
## 6280 22-24 Male Viet Nam
## 6281 60-69 Female Canada
## 6282 25-29 Male Philippines
## 6283 25-29 Male United States of America
## 6284 30-34 Male India
## 6285 18-21 Male Nigeria
## 6286 25-29 Male United States of America
## 6287 30-34 Male Japan
## 6288 30-34 Male Argentina
## 6289 18-21 Male India
## 6290 22-24 Male India
## 6291 22-24 Male India
## 6292 55-59 Male United States of America
## 6293 55-59 Male Canada
## 6294 35-39 Male South Korea
## 6295 18-21 Male India
## 6296 35-39 Female United States of America
## 6297 18-21 Male India
## 6298 35-39 Male United States of America
## 6299 25-29 Male India
## 6300 50-54 Male Thailand
## 6301 25-29 Male India
## 6302 25-29 Male Australia
## 6303 18-21 Female India
## 6304 30-34 Male Saudi Arabia
## 6305 22-24 Male India
## 6306 60-69 Male Ukraine
## 6307 18-21 Male United States of America
## 6308 30-34 Male United Kingdom
## 6309 50-54 Male Germany
## 6310 50-54 Male Germany
## 6311 18-21 Male India
## 6312 22-24 Female Other
## 6313 50-54 Male Japan
## 6314 40-44 Male Other
## 6315 22-24 Male India
## 6316 30-34 Male France
## 6317 40-44 Male Poland
## 6318 22-24 Male India
## 6319 25-29 Male Singapore
## 6320 35-39 Male Netherlands
## 6321 30-34 Male United States of America
## 6322 30-34 Male France
## 6323 18-21 Female India
## 6324 30-34 Male China
## 6325 30-34 Female India
## 6326 18-21 Female India
## 6327 60-69 Female Spain
## 6328 25-29 Male Netherlands
## 6329 30-34 Female France
## 6330 25-29 Female Poland
## 6331 18-21 Male Algeria
## 6332 25-29 Male Iran, Islamic Republic of...
## 6333 30-34 Female Other
## 6334 18-21 Male Bangladesh
## 6335 30-34 Male Czech Republic
## 6336 30-34 Male Japan
## 6337 30-34 Male Other
## 6338 22-24 Male India
## 6339 40-44 Male Spain
## 6340 25-29 Male Russia
## 6341 35-39 Female Russia
## 6342 30-34 Male Russia
## 6343 25-29 Male United States of America
## 6344 35-39 Male United States of America
## 6345 35-39 Male United States of America
## 6346 30-34 Male Mexico
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## 6348 22-24 Female Other
## 6349 40-44 Male United Kingdom
## 6350 18-21 Male Bangladesh
## 6351 40-44 Male United States of America
## 6352 35-39 Male Germany
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## 6354 40-44 Male India
## 6355 25-29 Male Other
## 6356 18-21 Male Indonesia
## 6357 25-29 Male Brazil
## 6358 25-29 Male Other
## 6359 18-21 Male Portugal
## 6360 22-24 Male United Kingdom
## 6361 25-29 Male Germany
## 6362 40-44 Male France
## 6363 40-44 Female France
## 6364 22-24 Male Peru
## 6365 18-21 Male India
## 6366 22-24 Male Hong Kong (S.A.R.)
## 6367 25-29 Male Algeria
## 6368 30-34 Male Israel
## 6369 30-34 Male Israel
## 6370 50-54 Male Other
## 6371 25-29 Male Sweden
## 6372 30-34 Male Colombia
## 6373 22-24 Male Pakistan
## 6374 30-34 Male Russia
## 6375 22-24 Male Nigeria
## 6376 30-34 Male Ukraine
## 6377 30-34 Male United Kingdom
## 6378 30-34 Male Other
## 6379 50-54 Male United States of America
## 6380 40-44 Male Indonesia
## 6381 25-29 Male Nigeria
## 6382 22-24 Male Turkey
## 6383 50-54 Male Poland
## 6384 35-39 Male Israel
## 6385 30-34 Male Russia
## 6386 25-29 Female United States of America
## 6387 55-59 Male United States of America
## 6388 35-39 Male Brazil
## 6389 25-29 Male Germany
## 6390 45-49 Male United States of America
## 6391 30-34 Female Canada
## 6392 25-29 Male Taiwan
## 6393 40-44 Male South Korea
## 6394 30-34 Prefer not to say India
## 6395 22-24 Male Japan
## 6396 50-54 Male United States of America
## 6397 60-69 Male India
## 6398 55-59 Male Japan
## 6399 55-59 Male Taiwan
## 6400 25-29 Male China
## 6401 30-34 Male India
## 6402 50-54 Male United States of America
## 6403 35-39 Male Japan
## 6404 55-59 Male Australia
## 6405 30-34 Male China
## 6406 45-49 Male Canada
## 6407 60-69 Male Russia
## 6408 55-59 Female United Kingdom
## 6409 22-24 Male Turkey
## 6410 25-29 Female India
## 6411 25-29 Male India
## 6412 30-34 Male New Zealand
## 6413 25-29 Male Czech Republic
## 6414 30-34 Male India
## 6415 30-34 Male Russia
## 6416 25-29 Male Iran, Islamic Republic of...
## 6417 18-21 Male India
## 6418 30-34 Female Kenya
## 6419 30-34 Male Czech Republic
## 6420 25-29 Male Spain
## 6421 25-29 Male Other
## 6422 25-29 Male Germany
## 6423 50-54 Male India
## 6424 18-21 Male India
## 6425 22-24 Male India
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## 6431 18-21 Male India
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## 6433 22-24 Female India
## 6434 45-49 Male Japan
## 6435 45-49 Male Algeria
## 6436 35-39 Female Other
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## 6439 22-24 Male Other
## 6440 45-49 Male Spain
## 6441 18-21 Male India
## 6442 40-44 Male Ukraine
## 6443 35-39 Male Portugal
## 6444 25-29 Male United States of America
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## 6461 35-39 Male Spain
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## 6463 30-34 Male India
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## 6467 35-39 Male United States of America
## 6468 25-29 Male Singapore
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## 6471 30-34 Male India
## 6472 30-34 Male Other
## 6473 45-49 Female Spain
## 6474 25-29 Female Turkey
## 6475 30-34 Male United States of America
## 6476 35-39 Male India
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## 6478 22-24 Male India
## 6479 30-34 Male Netherlands
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## 6481 35-39 Female United Kingdom
## 6482 22-24 Male Mexico
## 6483 30-34 Female Kenya
## 6484 35-39 Female Norway
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## 6486 25-29 Male Colombia
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## 6489 35-39 Female South Korea
## 6490 50-54 Female United States of America
## 6491 30-34 Male Singapore
## 6492 35-39 Male United States of America
## 6493 45-49 Female South Korea
## 6494 35-39 Male United States of America
## 6495 30-34 Male Singapore
## 6496 22-24 Female India
## 6497 22-24 Male United States of America
## 6498 18-21 Prefer not to say China
## 6499 35-39 Male United States of America
## 6500 25-29 Male South Korea
## 6501 25-29 Male United States of America
## 6502 25-29 Male Taiwan
## 6503 45-49 Male United States of America
## 6504 25-29 Male United States of America
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## 6516 18-21 Male India
## 6517 25-29 Male Italy
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## 6528 45-49 Male Netherlands
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## 6545 25-29 Male Other
## 6546 25-29 Male Other
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## 6548 25-29 Female Thailand
## 6549 25-29 Male India
## 6550 25-29 Male Iran, Islamic Republic of...
## 6551 40-44 Male Russia
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## 6563 22-24 Male India
## 6564 25-29 Male Russia
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## 6568 22-24 Male Spain
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## 6571 30-34 Female Iran, Islamic Republic of...
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## 6573 25-29 Male Japan
## 6574 35-39 Female Brazil
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## 6580 40-44 Female Netherlands
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## 6586 25-29 Male United Kingdom
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## 6591 30-34 Male France
## 6592 22-24 Female India
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## 6596 25-29 Female China
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## 6600 18-21 Male India
## 6601 18-21 Male India
## 6602 25-29 Male United States of America
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## 6605 22-24 Female United States of America
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## 6617 25-29 Male Brazil
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## 6623 22-24 Male India
## 6624 25-29 Male India
## 6625 22-24 Male Other
## 6626 22-24 Male United States of America
## 6627 40-44 Male Brazil
## 6628 50-54 Male Other
## 6629 30-34 Female Netherlands
## 6630 22-24 Male India
## 6631 40-44 Male United Kingdom
## 6632 25-29 Male Republic of Korea
## 6633 25-29 Male Belgium
## 6634 55-59 Male Peru
## 6635 50-54 Male United States of America
## 6636 35-39 Male Taiwan
## 6637 35-39 Male Germany
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## 6653 30-34 Male Chile
## 6654 30-34 Female United States of America
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## 6664 35-39 Male India
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## 6666 30-34 Male United States of America
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## 6668 22-24 Male India
## 6669 40-44 Male Hungary
## 6670 25-29 Female India
## 6671 25-29 Male Chile
## 6672 25-29 Male United States of America
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## 6687 35-39 Male France
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## 6693 25-29 Male Japan
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## 6695 40-44 Male India
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## 6697 30-34 Male India
## 6698 35-39 Male India
## 6699 22-24 Male Brazil
## 6700 30-34 Male United States of America
## 6701 30-34 Male India
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## 6703 22-24 Male India
## 6704 35-39 Male Switzerland
## 6705 22-24 Male United States of America
## 6706 50-54 Male United Kingdom
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## 6714 35-39 Male India
## 6715 30-34 Male Mexico
## 6716 60-69 Male United States of America
## 6717 30-34 Male United States of America
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## 6721 50-54 Male Taiwan
## 6722 35-39 Female United States of America
## 6723 35-39 Male Germany
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## 6725 40-44 Male India
## 6726 25-29 Male Brazil
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## 6728 30-34 Female United States of America
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## 6731 45-49 Male Argentina
## 6732 25-29 Male United Kingdom
## 6733 18-21 Male India
## 6734 35-39 Male Russia
## 6735 60-69 Male United States of America
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## 6737 30-34 Male Italy
## 6738 18-21 Male Bangladesh
## 6739 22-24 Male Brazil
## 6740 35-39 Male Japan
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## 6742 50-54 Male United States of America
## 6743 30-34 Female United States of America
## 6744 25-29 Male United States of America
## 6745 35-39 Male United States of America
## 6746 25-29 Male Hungary
## 6747 35-39 Male United States of America
## 6748 35-39 Male Brazil
## 6749 35-39 Female Brazil
## 6750 45-49 Male Greece
## 6751 35-39 Male Russia
## 6752 35-39 Male United States of America
## 6753 25-29 Male India
## 6754 25-29 Male India
## 6755 40-44 Male Canada
## 6756 30-34 Male United States of America
## 6757 18-21 Male India
## 6758 25-29 Male United States of America
## 6759 25-29 Male Brazil
## 6760 35-39 Male United States of America
## 6761 55-59 Male Denmark
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## 6763 18-21 Male India
## 6764 35-39 Male Other
## 6765 35-39 Male South Africa
## 6766 30-34 Male Brazil
## 6767 22-24 Male United States of America
## 6768 18-21 Female Other
## 6769 40-44 Male United States of America
## 6770 30-34 Female Canada
## 6771 40-44 Female Spain
## 6772 25-29 Male India
## 6773 22-24 Male India
## 6774 30-34 Male United Kingdom
## 6775 22-24 Male India
## 6776 18-21 Male China
## 6777 30-34 Male United States of America
## 6778 25-29 Male Brazil
## 6779 22-24 Male India
## 6780 35-39 Male Portugal
## 6781 18-21 Male Russia
## 6782 22-24 Male India
## 6783 25-29 Male Other
## 6784 30-34 Male United Kingdom
## 6785 35-39 Female Germany
## 6786 35-39 Male Russia
## 6787 18-21 Female India
## 6788 25-29 Male Belgium
## 6789 18-21 Male India
## 6790 70+ Male Canada
## 6791 18-21 Male Indonesia
## 6792 22-24 Male China
## 6793 25-29 Male United States of America
## 6794 18-21 Male Russia
## 6795 25-29 Male Spain
## 6796 25-29 Male Japan
## 6797 18-21 Male India
## 6798 35-39 Male Other
## 6799 25-29 Male Switzerland
## 6800 35-39 Male India
## 6801 25-29 Male Portugal
## 6802 25-29 Male Japan
## 6803 18-21 Male Russia
## 6804 35-39 Male Japan
## 6805 55-59 Female United States of America
## 6806 25-29 Female Other
## 6807 25-29 Male Germany
## 6808 18-21 Male India
## 6809 25-29 Male Other
## 6810 40-44 Male Germany
## 6811 40-44 Female Greece
## 6812 30-34 Male United States of America
## 6813 22-24 Male India
## 6814 25-29 Male Germany
## 6815 30-34 Male Thailand
## 6816 30-34 Male France
## 6817 22-24 Female Viet Nam
## 6818 30-34 Male Malaysia
## 6819 30-34 Male Brazil
## 6820 25-29 Male India
## 6821 30-34 Male South Africa
## 6822 25-29 Male Mexico
## 6823 40-44 Male Denmark
## 6824 45-49 Male Czech Republic
## 6825 22-24 Male France
## 6826 35-39 Female Peru
## 6827 30-34 Female United Kingdom
## 6828 30-34 Male Russia
## 6829 40-44 Male United States of America
## 6830 25-29 Male United States of America
## 6831 30-34 Male India
## 6832 50-54 Male United States of America
## 6833 18-21 Male India
## 6834 30-34 Male Switzerland
## 6835 30-34 Female United States of America
## 6836 25-29 Male Brazil
## 6837 50-54 Male Japan
## 6838 45-49 Male United States of America
## 6839 22-24 Male Brazil
## 6840 30-34 Male China
## 6841 30-34 Female United States of America
## 6842 50-54 Female Russia
## 6843 22-24 Female Egypt
## 6844 40-44 Male United Kingdom
## 6845 25-29 Male India
## 6846 22-24 Male Japan
## 6847 18-21 Male Ukraine
## 6848 25-29 Male Other
## 6849 30-34 Male India
## 6850 30-34 Male Brazil
## 6851 40-44 Male Mexico
## 6852 25-29 Male United Kingdom
## 6853 18-21 Male India
## 6854 40-44 Male Spain
## 6855 22-24 Male India
## 6856 25-29 Female Germany
## 6857 22-24 Male Other
## 6858 25-29 Male India
## 6859 35-39 Male United States of America
## 6860 25-29 Male United States of America
## 6861 50-54 Male United States of America
## 6862 40-44 Male Norway
## 6863 40-44 Male United States of America
## 6864 25-29 Prefer not to say Canada
## 6865 25-29 Male Brazil
## 6866 40-44 Male United States of America
## 6867 25-29 Female India
## 6868 50-54 Male Pakistan
## 6869 25-29 Male Poland
## 6870 45-49 Male Spain
## 6871 22-24 Male Taiwan
## 6872 18-21 Male Russia
## 6873 35-39 Male Germany
## 6874 18-21 Female India
## 6875 18-21 Male India
## 6876 30-34 Male Russia
## 6877 30-34 Male Republic of Korea
## 6878 18-21 Male India
## 6879 45-49 Male United States of America
## 6880 35-39 Male Brazil
## 6881 22-24 Male India
## 6882 30-34 Male Russia
## 6883 18-21 Male India
## 6884 30-34 Male Israel
## 6885 22-24 Male India
## 6886 30-34 Male United States of America
## 6887 55-59 Male Spain
## 6888 40-44 Male Other
## 6889 35-39 Prefer not to say United States of America
## 6890 35-39 Male Other
## 6891 25-29 Female Brazil
## 6892 55-59 Male United States of America
## 6893 25-29 Male Nigeria
## 6894 30-34 Male Taiwan
## 6895 25-29 Male Other
## 6896 30-34 Female United States of America
## 6897 50-54 Male Japan
## 6898 70+ Prefer to self-describe Other
## 6899 35-39 Male Spain
## 6900 35-39 Male United States of America
## 6901 35-39 Male Colombia
## 6902 25-29 Female Germany
## 6903 25-29 Male China
## 6904 45-49 Male Brazil
## 6905 35-39 Male Germany
## 6906 35-39 Male Nigeria
## 6907 30-34 Male United Kingdom
## 6908 25-29 Male India
## 6909 22-24 Male United States of America
## 6910 30-34 Male South Korea
## 6911 50-54 Male Taiwan
## 6912 30-34 Male Ireland
## 6913 50-54 Male United States of America
## 6914 40-44 Male Portugal
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## 6916 30-34 Male Brazil
## 6917 22-24 Male Bangladesh
## 6918 30-34 Male Japan
## 6919 45-49 Male India
## 6920 18-21 Female India
## 6921 25-29 Male China
## 6922 40-44 Male Singapore
## 6923 30-34 Male Argentina
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## 6929 22-24 Female Other
## 6930 25-29 Male Japan
## 6931 30-34 Male Czech Republic
## 6932 18-21 Female United States of America
## 6933 25-29 Male United States of America
## 6934 25-29 Female Poland
## 6935 35-39 Male Saudi Arabia
## 6936 18-21 Male China
## 6937 30-34 Male United States of America
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## 6939 18-21 Male India
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## 6941 55-59 Male Other
## 6942 22-24 Male India
## 6943 25-29 Male Brazil
## 6944 25-29 Male France
## 6945 25-29 Male India
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## 6953 22-24 Female United States of America
## 6954 25-29 Male Other
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## 6957 18-21 Male India
## 6958 22-24 Male Other
## 6959 18-21 Male India
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## 6971 25-29 Male France
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## 6975 30-34 Male India
## 6976 35-39 Male Switzerland
## 6977 30-34 Male United States of America
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## 6979 35-39 Male United States of America
## 6980 35-39 Male Taiwan
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## 6982 40-44 Male Mexico
## 6983 40-44 Male United States of America
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## 6986 30-34 Female Egypt
## 6987 25-29 Male United States of America
## 6988 25-29 Male Ireland
## 6989 35-39 Male United States of America
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## 7001 22-24 Male Bangladesh
## 7002 30-34 Male Turkey
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## 7013 22-24 Female India
## 7014 22-24 Male India
## 7015 30-34 Male Italy
## 7016 40-44 Female India
## 7017 35-39 Female United States of America
## 7018 22-24 Male Spain
## 7019 35-39 Male United States of America
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## 7023 25-29 Male India
## 7024 25-29 Female United States of America
## 7025 35-39 Male United States of America
## 7026 25-29 Male China
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## 7034 22-24 Male Taiwan
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## 7036 40-44 Male Other
## 7037 18-21 Prefer not to say India
## 7038 25-29 Male United States of America
## 7039 45-49 Female Greece
## 7040 45-49 Male Denmark
## 7041 30-34 Male Sweden
## 7042 55-59 Male South Africa
## 7043 30-34 Male Japan
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## 7045 40-44 Male United Kingdom
## 7046 18-21 Male India
## 7047 30-34 Prefer not to say Other
## 7048 55-59 Female United States of America
## 7049 30-34 Male Denmark
## 7050 45-49 Male Ireland
## 7051 25-29 Male United States of America
## 7052 30-34 Female Brazil
## 7053 25-29 Female Tunisia
## 7054 25-29 Male United States of America
## 7055 30-34 Male Other
## 7056 18-21 Male India
## 7057 30-34 Male United States of America
## 7058 35-39 Male Hong Kong (S.A.R.)
## 7059 30-34 Female Nigeria
## 7060 18-21 Male India
## 7061 30-34 Male Austria
## 7062 25-29 Male India
## 7063 30-34 Male Brazil
## 7064 45-49 Male Other
## 7065 22-24 Male Czech Republic
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## 7069 18-21 Male Pakistan
## 7070 35-39 Male United States of America
## 7071 25-29 Female India
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## 7073 22-24 Male India
## 7074 18-21 Male India
## 7075 25-29 Male Other
## 7076 25-29 Male United Kingdom
## 7077 18-21 Male Germany
## 7078 45-49 Male Poland
## 7079 55-59 Male United States of America
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## 7081 40-44 Male United States of America
## 7082 30-34 Male Germany
## 7083 25-29 Female India
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## 7085 30-34 Male Other
## 7086 30-34 Male India
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## 7088 35-39 Male United States of America
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## 7093 40-44 Male India
## 7094 25-29 Male Other
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## 7097 40-44 Male United States of America
## 7098 35-39 Male United States of America
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## 7103 25-29 Male United Kingdom
## 7104 35-39 Male India
## 7105 35-39 Male India
## 7106 70+ Male United States of America
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## 7108 18-21 Male Belarus
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## 7111 40-44 Female India
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## 7113 30-34 Male India
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## 7115 22-24 Male France
## 7116 22-24 Female China
## 7117 18-21 Male India
## 7118 18-21 Prefer to self-describe India
## 7119 55-59 Male Italy
## 7120 22-24 Male India
## 7121 25-29 Male Switzerland
## 7122 50-54 Female United States of America
## 7123 50-54 Male Denmark
## 7124 25-29 Male Malaysia
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## 7126 22-24 Female India
## 7127 45-49 Male India
## 7128 40-44 Male Turkey
## 7129 30-34 Male India
## 7130 30-34 Male Other
## 7131 40-44 Male Canada
## 7132 40-44 Male Russia
## 7133 70+ Male United States of America
## 7134 25-29 Male India
## 7135 25-29 Male India
## 7136 40-44 Male United Kingdom
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## 7138 30-34 Male Colombia
## 7139 25-29 Male United Kingdom
## 7140 25-29 Female South Korea
## 7141 30-34 Male Spain
## 7142 30-34 Male Brazil
## 7143 22-24 Male India
## 7144 30-34 Male Canada
## 7145 25-29 Male Poland
## 7146 30-34 Male United States of America
## 7147 35-39 Male United States of America
## 7148 18-21 Male India
## 7149 70+ Male Bangladesh
## 7150 40-44 Male Brazil
## 7151 50-54 Female India
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## 7153 18-21 Male India
## 7154 25-29 Male India
## 7155 18-21 Female India
## 7156 30-34 Male Brazil
## 7157 30-34 Male United States of America
## 7158 18-21 Male India
## 7159 30-34 Male India
## 7160 30-34 Female Taiwan
## 7161 18-21 Female India
## 7162 60-69 Male United States of America
## 7163 30-34 Male Chile
## 7164 25-29 Male Norway
## 7165 30-34 Male United States of America
## 7166 30-34 Male India
## 7167 22-24 Male Japan
## 7168 18-21 Male India
## 7169 25-29 Male Nigeria
## 7170 35-39 Male Germany
## 7171 25-29 Male China
## 7172 25-29 Male Russia
## 7173 22-24 Male Russia
## 7174 22-24 Female Malaysia
## 7175 45-49 Male Austria
## 7176 25-29 Male India
## 7177 60-69 Female United States of America
## 7178 35-39 Female Canada
## 7179 45-49 Male United States of America
## 7180 40-44 Male Poland
## 7181 18-21 Male India
## 7182 40-44 Male India
## 7183 30-34 Male United States of America
## 7184 40-44 Male United States of America
## 7185 30-34 Male India
## 7186 30-34 Female Germany
## 7187 25-29 Male South Korea
## 7188 25-29 Male India
## 7189 30-34 Male Other
## 7190 22-24 Female Switzerland
## 7191 22-24 Male Nigeria
## 7192 25-29 Female United States of America
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## 7194 22-24 Female India
## 7195 22-24 Male India
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## 7200 45-49 Male United States of America
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## 7205 30-34 Male France
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## 7210 25-29 Male India
## 7211 22-24 Male United States of America
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## 7213 35-39 Male India
## 7214 22-24 Male Nigeria
## 7215 18-21 Male India
## 7216 30-34 Male India
## 7217 22-24 Male Kenya
## 7218 40-44 Female United States of America
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## 7220 18-21 Male India
## 7221 18-21 Male Viet Nam
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## 7223 45-49 Male Italy
## 7224 22-24 Male United States of America
## 7225 18-21 Female Kenya
## 7226 45-49 Male United States of America
## 7227 25-29 Male Japan
## 7228 18-21 Female United States of America
## 7229 30-34 Male Israel
## 7230 25-29 Male United States of America
## 7231 35-39 Male Other
## 7232 22-24 Male United States of America
## 7233 35-39 Male Portugal
## 7234 25-29 Male Colombia
## 7235 45-49 Male United States of America
## 7236 30-34 Male United Kingdom
## 7237 45-49 Male Pakistan
## 7238 50-54 Male Taiwan
## 7239 25-29 Female United States of America
## 7240 30-34 Male Brazil
## 7241 40-44 Male United States of America
## 7242 50-54 Male Germany
## 7243 45-49 Male Sweden
## 7244 18-21 Male India
## 7245 25-29 Male United States of America
## 7246 18-21 Male Germany
## 7247 40-44 Male India
## 7248 30-34 Male United States of America
## 7249 40-44 Male India
## 7250 25-29 Female Tunisia
## 7251 25-29 Male Colombia
## 7252 18-21 Male Russia
## 7253 35-39 Male United States of America
## 7254 30-34 Male United Kingdom
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## 7256 25-29 Male Chile
## 7257 30-34 Female United States of America
## 7258 25-29 Male Taiwan
## 7259 30-34 Male Germany
## 7260 35-39 Male India
## 7261 30-34 Male United States of America
## 7262 25-29 Male India
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## 7264 30-34 Male United States of America
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## 7266 40-44 Male India
## 7267 55-59 Male Italy
## 7268 40-44 Male Chile
## 7269 40-44 Male Thailand
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## 7272 25-29 Male Italy
## 7273 40-44 Male Canada
## 7274 30-34 Male Argentina
## 7275 60-69 Female Singapore
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## 7278 45-49 Male India
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## 7281 25-29 Male India
## 7282 25-29 Male Other
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## 7284 22-24 Female India
## 7285 30-34 Male United States of America
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## 7290 45-49 Male Portugal
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## 7293 18-21 Male India
## 7294 25-29 Male Other
## 7295 25-29 Female Mexico
## 7296 30-34 Male France
## 7297 50-54 Male United States of America
## 7298 30-34 Male Italy
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## 7300 25-29 Male France
## 7301 25-29 Male Canada
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## 7304 22-24 Male Canada
## 7305 22-24 Male United States of America
## 7306 35-39 Male Ukraine
## 7307 22-24 Male Viet Nam
## 7308 35-39 Male United Kingdom
## 7309 25-29 Male Japan
## 7310 40-44 Male United Kingdom
## 7311 35-39 Male India
## 7312 22-24 Male United States of America
## 7313 25-29 Male India
## 7314 25-29 Male Pakistan
## 7315 30-34 Male United States of America
## 7316 25-29 Male India
## 7317 18-21 Male Other
## 7318 30-34 Male Tunisia
## 7319 35-39 Female United States of America
## 7320 18-21 Male China
## 7321 40-44 Male Mexico
## 7322 25-29 Female Mexico
## 7323 30-34 Male Peru
## 7324 25-29 Male India
## 7325 22-24 Male South Africa
## 7326 40-44 Female Italy
## 7327 22-24 Male Ireland
## 7328 25-29 Male Peru
## 7329 60-69 Male United States of America
## 7330 22-24 Female India
## 7331 18-21 Male China
## 7332 45-49 Male United States of America
## 7333 25-29 Female India
## 7334 50-54 Male United States of America
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## 7336 40-44 Female India
## 7337 25-29 Male Pakistan
## 7338 22-24 Male India
## 7339 45-49 Prefer not to say Other
## 7340 30-34 Male United States of America
## 7341 22-24 Male India
## 7342 18-21 Male India
## 7343 30-34 Male United States of America
## 7344 30-34 Female Brazil
## 7345 60-69 Prefer not to say United States of America
## 7346 45-49 Prefer to self-describe United States of America
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## 7348 40-44 Male United States of America
## 7349 55-59 Male United States of America
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## 7352 25-29 Male United States of America
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## 7355 30-34 Male United States of America
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## 7358 50-54 Male United States of America
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## 7361 40-44 Male Brazil
## 7362 30-34 Male Germany
## 7363 45-49 Male Spain
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## 7371 40-44 Male India
## 7372 30-34 Male United States of America
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## 7377 25-29 Male India
## 7378 55-59 Male Netherlands
## 7379 35-39 Male United States of America
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## 7385 35-39 Male Russia
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## 7388 25-29 Male India
## 7389 30-34 Male Spain
## 7390 40-44 Male Italy
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## 7394 30-34 Male United States of America
## 7395 30-34 Male Turkey
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## 7397 30-34 Male Taiwan
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## 7491 30-34 Male India
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## 7515 30-34 Male United States of America
## 7516 22-24 Male India
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## 7518 25-29 Male Mexico
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## 7520 25-29 Male United States of America
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## 7524 35-39 Male South Africa
## 7525 35-39 Prefer not to say Germany
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## 7527 35-39 Female United States of America
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## 7533 22-24 Male India
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## 7536 30-34 Male South Korea
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## 7538 30-34 Male Brazil
## 7539 22-24 Female India
## 7540 25-29 Male South Africa
## 7541 60-69 Male United States of America
## 7542 18-21 Male India
## 7543 25-29 Female United States of America
## 7544 25-29 Male Germany
## 7545 40-44 Male Russia
## 7546 60-69 Prefer to self-describe Other
## 7547 55-59 Male United States of America
## 7548 25-29 Male United States of America
## 7549 45-49 Male United States of America
## 7550 22-24 Male India
## 7551 25-29 Female Other
## 7552 35-39 Female Spain
## 7553 55-59 Male United States of America
## 7554 22-24 Male India
## 7555 25-29 Male France
## 7556 22-24 Male United States of America
## 7557 22-24 Male India
## 7558 60-69 Male United States of America
## 7559 18-21 Male India
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## 7561 35-39 Male Other
## 7562 35-39 Male Germany
## 7563 55-59 Male United States of America
## 7564 25-29 Male India
## 7565 18-21 Male Brazil
## 7566 25-29 Male Germany
## 7567 25-29 Male Colombia
## 7568 30-34 Male India
## 7569 30-34 Male United States of America
## 7570 18-21 Male India
## 7571 30-34 Female United States of America
## 7572 22-24 Male Nigeria
## 7573 35-39 Male Russia
## 7574 55-59 Male United States of America
## 7575 25-29 Male Greece
## 7576 35-39 Male France
## 7577 25-29 Male India
## 7578 25-29 Male United States of America
## 7579 45-49 Male Norway
## 7580 22-24 Male India
## 7581 35-39 Female South Africa
## 7582 22-24 Male Pakistan
## 7583 25-29 Female Germany
## 7584 22-24 Male India
## 7585 18-21 Female India
## 7586 40-44 Female Poland
## 7587 55-59 Male United States of America
## 7588 40-44 Female Brazil
## 7589 25-29 Male United States of America
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## 7591 18-21 Male India
## 7592 18-21 Female Turkey
## 7593 18-21 Male India
## 7594 18-21 Male Pakistan
## 7595 25-29 Male Taiwan
## 7596 40-44 Male Germany
## 7597 40-44 Female United States of America
## 7598 30-34 Female Mexico
## 7599 35-39 Prefer not to say United States of America
## 7600 30-34 Male France
## 7601 25-29 Male Brazil
## 7602 55-59 Male Mexico
## 7603 18-21 Male India
## 7604 22-24 Male Brazil
## 7605 50-54 Male New Zealand
## 7606 35-39 Male Colombia
## 7607 50-54 Male United States of America
## 7608 18-21 Male India
## 7609 35-39 Male Colombia
## 7610 30-34 Male Canada
## 7611 30-34 Male New Zealand
## 7612 60-69 Male United States of America
## 7613 30-34 Male Chile
## 7614 22-24 Male India
## 7615 22-24 Male Bangladesh
## 7616 30-34 Male Spain
## 7617 45-49 Male Spain
## 7618 18-21 Male Mexico
## 7619 40-44 Prefer not to say United States of America
## 7620 30-34 Prefer not to say United Kingdom
## 7621 18-21 Male India
## 7622 22-24 Male India
## 7623 55-59 Male United States of America
## 7624 22-24 Male India
## 7625 30-34 Male Other
## 7626 25-29 Male United Kingdom
## 7627 25-29 Male Other
## 7628 35-39 Male United Kingdom
## 7629 40-44 Male Italy
## 7630 35-39 Female Portugal
## 7631 60-69 Male United States of America
## 7632 35-39 Male Spain
## 7633 25-29 Male Germany
## 7634 22-24 Male India
## 7635 25-29 Male India
## 7636 22-24 Male Other
## 7637 45-49 Male United States of America
## 7638 40-44 Prefer not to say United States of America
## 7639 35-39 Male United States of America
## 7640 35-39 Female Canada
## 7641 40-44 Male Brazil
## 7642 25-29 Male India
## 7643 25-29 Male India
## 7644 22-24 Male India
## 7645 30-34 Male Russia
## 7646 30-34 Female Poland
## 7647 35-39 Male United States of America
## 7648 18-21 Male Ukraine
## 7649 22-24 Male India
## 7650 25-29 Male India
## 7651 22-24 Male India
## 7652 45-49 Male United States of America
## 7653 30-34 Male Mexico
## 7654 18-21 Male India
## 7655 55-59 Male United States of America
## 7656 25-29 Female Brazil
## 7657 30-34 Male Russia
## 7658 25-29 Female Nigeria
## 7659 25-29 Male China
## 7660 30-34 Male Brazil
## 7661 50-54 Male Spain
## 7662 35-39 Male Hungary
## 7663 25-29 Male United States of America
## 7664 18-21 Male Colombia
## 7665 40-44 Male United States of America
## 7666 25-29 Male India
## 7667 25-29 Female Peru
## 7668 50-54 Male Brazil
## 7669 22-24 Male India
## 7670 25-29 Male Taiwan
## 7671 22-24 Male United States of America
## 7672 25-29 Male Brazil
## 7673 18-21 Male Ukraine
## 7674 45-49 Male United Kingdom
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## 7676 35-39 Male Other
## 7677 25-29 Male India
## 7678 18-21 Male Russia
## 7679 22-24 Male Denmark
## 7680 22-24 Male Kenya
## 7681 25-29 Male India
## 7682 45-49 Female Canada
## 7683 45-49 Male Egypt
## 7684 45-49 Male Other
## 7685 30-34 Male Turkey
## 7686 22-24 Male India
## 7687 25-29 Male India
## 7688 18-21 Male Belarus
## 7689 22-24 Male Romania
## 7690 18-21 Male United States of America
## 7691 30-34 Female Chile
## 7692 18-21 Male Russia
## 7693 25-29 Male Spain
## 7694 25-29 Male United States of America
## 7695 18-21 Male India
## 7696 30-34 Male United States of America
## 7697 22-24 Male India
## 7698 30-34 Male Ukraine
## 7699 30-34 Female India
## 7700 50-54 Male United States of America
## 7701 55-59 Male Portugal
## 7702 30-34 Male France
## 7703 22-24 Male Germany
## 7704 25-29 Female Brazil
## 7705 22-24 Male India
## 7706 25-29 Male United States of America
## 7707 18-21 Male Brazil
## 7708 25-29 Male Other
## 7709 22-24 Male Romania
## 7710 25-29 Male Egypt
## 7711 45-49 Male Poland
## 7712 30-34 Male Mexico
## 7713 22-24 Male Brazil
## 7714 18-21 Male India
## 7715 22-24 Male France
## 7716 35-39 Male United States of America
## 7717 45-49 Male Japan
## 7718 35-39 Female Other
## 7719 25-29 Male India
## 7720 55-59 Male Taiwan
## 7721 25-29 Male Canada
## 7722 25-29 Male Chile
## 7723 50-54 Male Spain
## 7724 30-34 Male Chile
## 7725 35-39 Male Brazil
## 7726 22-24 Male Mexico
## 7727 25-29 Male Canada
## 7728 30-34 Male Brazil
## 7729 35-39 Male United States of America
## 7730 30-34 Female United States of America
## 7731 30-34 Male United States of America
## 7732 55-59 Male United States of America
## 7733 25-29 Female India
## 7734 25-29 Male Colombia
## 7735 30-34 Female South Africa
## 7736 22-24 Male India
## 7737 45-49 Male United States of America
## 7738 35-39 Male United States of America
## 7739 35-39 Male Brazil
## 7740 22-24 Male India
## 7741 22-24 Male India
## 7742 22-24 Male India
## 7743 30-34 Male Brazil
## 7744 45-49 Male United States of America
## 7745 25-29 Male India
## 7746 22-24 Female India
## 7747 50-54 Male United States of America
## 7748 45-49 Male Turkey
## 7749 45-49 Male Other
## 7750 35-39 Male Brazil
## 7751 45-49 Male Spain
## 7752 40-44 Male Other
## 7753 45-49 Male United States of America
## 7754 22-24 Male Pakistan
## 7755 45-49 Male Spain
## 7756 40-44 Female Other
## 7757 25-29 Male Hong Kong (S.A.R.)
## 7758 22-24 Male France
## 7759 35-39 Male Netherlands
## 7760 30-34 Female Brazil
## 7761 22-24 Male India
## 7762 30-34 Male United States of America
## 7763 30-34 Male Chile
## 7764 22-24 Male India
## 7765 18-21 Male Other
## 7766 30-34 Male United States of America
## 7767 22-24 Male Belgium
## 7768 35-39 Female India
## 7769 22-24 Male Chile
## 7770 35-39 Male Poland
## 7771 18-21 Male India
## 7772 30-34 Female United States of America
## 7773 25-29 Male India
## 7774 35-39 Male Saudi Arabia
## 7775 50-54 Male Canada
## 7776 40-44 Male United States of America
## 7777 18-21 Male India
## 7778 18-21 Male India
## 7779 30-34 Male India
## 7780 25-29 Female Nigeria
## 7781 40-44 Female Saudi Arabia
## 7782 60-69 Male Malaysia
## 7783 25-29 Male Iran, Islamic Republic of...
## 7784 45-49 Male United States of America
## 7785 18-21 Male India
## 7786 40-44 Male Colombia
## 7787 25-29 Male India
## 7788 40-44 Male Chile
## 7789 22-24 Male Brazil
## 7790 25-29 Male South Africa
## 7791 30-34 Male Belgium
## 7792 45-49 Male Brazil
## 7793 50-54 Male Brazil
## 7794 25-29 Male Germany
## 7795 35-39 Male Canada
## 7796 30-34 Male Brazil
## 7797 30-34 Male Other
## 7798 25-29 Male India
## 7799 35-39 Male India
## 7800 22-24 Female India
## 7801 30-34 Male Canada
## 7802 22-24 Female United States of America
## 7803 25-29 Male Germany
## 7804 22-24 Male India
## 7805 30-34 Female Austria
## 7806 22-24 Male Brazil
## 7807 18-21 Female India
## 7808 22-24 Male India
## 7809 35-39 Male Japan
## 7810 25-29 Female United States of America
## 7811 22-24 Male India
## 7812 60-69 Male United States of America
## 7813 45-49 Male France
## 7814 22-24 Male India
## 7815 25-29 Male United States of America
## 7816 35-39 Female Brazil
## 7817 30-34 Male Colombia
## 7818 18-21 Male India
## 7819 22-24 Male India
## 7820 25-29 Female United Kingdom
## 7821 22-24 Male Mexico
## 7822 30-34 Male Iran, Islamic Republic of...
## 7823 25-29 Male Kenya
## 7824 25-29 Female United States of America
## 7825 30-34 Male India
## 7826 18-21 Male Other
## 7827 50-54 Male Italy
## 7828 50-54 Male Portugal
## 7829 30-34 Male United Kingdom
## 7830 18-21 Male United States of America
## 7831 35-39 Male United States of America
## 7832 22-24 Male Russia
## 7833 18-21 Male India
## 7834 25-29 Male Argentina
## 7835 50-54 Male Poland
## 7836 18-21 Female India
## 7837 25-29 Male Russia
## 7838 25-29 Male Germany
## 7839 30-34 Male Israel
## 7840 30-34 Male Portugal
## 7841 22-24 Male Pakistan
## 7842 35-39 Male Spain
## 7843 30-34 Male Iran, Islamic Republic of...
## 7844 35-39 Female Japan
## 7845 22-24 Female Indonesia
## 7846 30-34 Male United Kingdom
## 7847 22-24 Male Other
## 7848 25-29 Male Spain
## 7849 22-24 Female India
## 7850 35-39 Male United States of America
## 7851 50-54 Male United States of America
## 7852 22-24 Male India
## 7853 45-49 Male Canada
## 7854 35-39 Male Brazil
## 7855 35-39 Male South Africa
## 7856 45-49 Male Chile
## 7857 55-59 Male New Zealand
## 7858 40-44 Male France
## 7859 55-59 Male United States of America
## 7860 25-29 Male Brazil
## 7861 30-34 Male Russia
## 7862 35-39 Male United States of America
## 7863 40-44 Male Brazil
## 7864 50-54 Male Mexico
## 7865 18-21 Male India
## 7866 45-49 Male Other
## 7867 22-24 Male India
## 7868 40-44 Male United States of America
## 7869 30-34 Male Indonesia
## 7870 50-54 Male United Kingdom
## 7871 35-39 Male India
## 7872 22-24 Male India
## 7873 35-39 Male United States of America
## 7874 40-44 Male Italy
## 7875 45-49 Male United States of America
## 7876 22-24 Female United Kingdom
## 7877 45-49 Male Other
## 7878 22-24 Male Mexico
## 7879 22-24 Male Poland
## 7880 40-44 Male Other
## 7881 25-29 Female Other
## 7882 30-34 Male United States of America
## 7883 35-39 Male Other
## 7884 25-29 Male Other
## 7885 25-29 Female Canada
## 7886 50-54 Male India
## 7887 35-39 Male United States of America
## 7888 18-21 Female India
## 7889 35-39 Male Brazil
## 7890 25-29 Male Russia
## 7891 35-39 Male India
## 7892 60-69 Male United States of America
## 7893 35-39 Male Germany
## 7894 18-21 Male India
## 7895 55-59 Male United States of America
## 7896 18-21 Female France
## 7897 25-29 Male Belarus
## 7898 40-44 Male Russia
## 7899 22-24 Male Netherlands
## 7900 35-39 Male Turkey
## 7901 30-34 Male United States of America
## 7902 35-39 Male Spain
## 7903 18-21 Male United States of America
## 7904 30-34 Male United States of America
## 7905 50-54 Male United States of America
## 7906 35-39 Male India
## 7907 40-44 Male Other
## 7908 22-24 Female India
## 7909 30-34 Male Spain
## 7910 22-24 Male Ukraine
## 7911 25-29 Male United States of America
## 7912 30-34 Male Colombia
## 7913 18-21 Male Other
## 7914 25-29 Male India
## 7915 30-34 Male Germany
## 7916 22-24 Male United States of America
## 7917 25-29 Male United States of America
## 7918 35-39 Male Spain
## 7919 22-24 Male India
## 7920 22-24 Male India
## 7921 30-34 Male Belgium
## 7922 50-54 Male United States of America
## 7923 35-39 Female United States of America
## 7924 30-34 Male India
## 7925 40-44 Male Chile
## 7926 50-54 Male United States of America
## 7927 40-44 Male Canada
## 7928 25-29 Male Other
## 7929 50-54 Male Mexico
## 7930 45-49 Male Spain
## 7931 25-29 Male Other
## 7932 35-39 Male India
## 7933 40-44 Male Russia
## 7934 25-29 Male United States of America
## 7935 18-21 Male India
## 7936 35-39 Male Portugal
## 7937 35-39 Male Germany
## 7938 40-44 Male Russia
## 7939 55-59 Male United States of America
## 7940 30-34 Female Canada
## 7941 30-34 Male Nigeria
## 7942 30-34 Male Germany
## 7943 18-21 Male Turkey
## 7944 40-44 Male Poland
## 7945 22-24 Female Russia
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## 7947 30-34 Male Australia
## 7948 60-69 Male Netherlands
## 7949 40-44 Male Brazil
## 7950 60-69 Male United States of America
## 7951 35-39 Male United States of America
## 7952 35-39 Male United States of America
## 7953 45-49 Prefer to self-describe Poland
## 7954 25-29 Male Canada
## 7955 25-29 Male United States of America
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## 7959 25-29 Male Bangladesh
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## 7961 25-29 Female Turkey
## 7962 35-39 Male Israel
## 7963 22-24 Male Morocco
## 7964 30-34 Male Brazil
## 7965 70+ Female Other
## 7966 30-34 Male United States of America
## 7967 35-39 Male Australia
## 7968 25-29 Male Norway
## 7969 35-39 Male Israel
## 7970 35-39 Male Ukraine
## 7971 60-69 Male Sweden
## 7972 30-34 Male Brazil
## 7973 40-44 Male United States of America
## 7974 25-29 Male France
## 7975 25-29 Male Austria
## 7976 25-29 Male Brazil
## 7977 50-54 Male Israel
## 7978 50-54 Male Portugal
## 7979 35-39 Female India
## 7980 40-44 Male Other
## 7981 25-29 Male India
## 7982 22-24 Prefer not to say France
## 7983 25-29 Male United States of America
## 7984 35-39 Male Netherlands
## 7985 22-24 Female United States of America
## 7986 18-21 Male United States of America
## 7987 45-49 Male United States of America
## 7988 18-21 Female Morocco
## 7989 35-39 Female Germany
## 7990 30-34 Female Greece
## 7991 30-34 Female United States of America
## 7992 18-21 Male United States of America
## 7993 25-29 Male Portugal
## 7994 18-21 Male India
## 7995 30-34 Male United States of America
## 7996 25-29 Female United States of America
## 7997 35-39 Male Spain
## 7998 30-34 Male France
## 7999 30-34 Male Spain
## 8000 30-34 Male Israel
## 8001 35-39 Male Brazil
## 8002 60-69 Male Russia
## 8003 50-54 Male United Kingdom
## 8004 22-24 Male Brazil
## 8005 35-39 Male Colombia
## 8006 30-34 Male United States of America
## 8007 35-39 Male United States of America
## 8008 45-49 Male Other
## 8009 45-49 Male Japan
## 8010 18-21 Male United States of America
## 8011 30-34 Male Russia
## 8012 35-39 Male United States of America
## 8013 22-24 Male India
## 8014 22-24 Male United States of America
## 8015 30-34 Male South Africa
## 8016 35-39 Male China
## 8017 30-34 Male United Kingdom
## 8018 35-39 Male Brazil
## 8019 50-54 Male United States of America
## 8020 22-24 Female Other
## 8021 25-29 Prefer not to say South Africa
## 8022 35-39 Male United Kingdom
## 8023 22-24 Male India
## 8024 40-44 Male United States of America
## 8025 40-44 Male Japan
## 8026 40-44 Male Indonesia
## 8027 25-29 Male Sweden
## 8028 22-24 Male Poland
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## 8030 30-34 Male India
## 8031 35-39 Male Russia
## 8032 25-29 Female Other
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## 8034 40-44 Male Argentina
## 8035 45-49 Male Belarus
## 8036 30-34 Male Brazil
## 8037 30-34 Male Spain
## 8038 22-24 Male United States of America
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## 8041 22-24 Male Russia
## 8042 25-29 Female United States of America
## 8043 30-34 Male Nigeria
## 8044 40-44 Male Iran, Islamic Republic of...
## 8045 18-21 Male India
## 8046 22-24 Male India
## 8047 30-34 Male France
## 8048 25-29 Female United States of America
## 8049 30-34 Male Other
## 8050 50-54 Male United States of America
## 8051 30-34 Male Chile
## 8052 50-54 Male Other
## 8053 25-29 Male United States of America
## 8054 40-44 Male South Africa
## 8055 25-29 Male Peru
## 8056 22-24 Male Pakistan
## 8057 25-29 Female Ukraine
## 8058 40-44 Male Other
## 8059 30-34 Male United States of America
## 8060 25-29 Female Netherlands
## 8061 18-21 Male India
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## 8064 35-39 Male United Kingdom
## 8065 30-34 Male Brazil
## 8066 55-59 Male United States of America
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## 8068 30-34 Male China
## 8069 40-44 Male Other
## 8070 22-24 Male Japan
## 8071 18-21 Male France
## 8072 25-29 Male Germany
## 8073 35-39 Male Denmark
## 8074 30-34 Male United States of America
## 8075 25-29 Male United States of America
## 8076 22-24 Male India
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## 8078 30-34 Female United States of America
## 8079 35-39 Male India
## 8080 18-21 Male Nigeria
## 8081 25-29 Male Nigeria
## 8082 55-59 Male Canada
## 8083 25-29 Female United States of America
## 8084 18-21 Male Other
## 8085 35-39 Male Sweden
## 8086 35-39 Female United States of America
## 8087 30-34 Male Other
## 8088 25-29 Male United States of America
## 8089 30-34 Male Denmark
## 8090 30-34 Male Mexico
## 8091 25-29 Female France
## 8092 60-69 Male United States of America
## 8093 18-21 Male Kenya
## 8094 30-34 Female Germany
## 8095 35-39 Male Morocco
## 8096 30-34 Male Colombia
## 8097 25-29 Male India
## 8098 25-29 Male India
## 8099 45-49 Male Pakistan
## 8100 25-29 Male Switzerland
## 8101 55-59 Male Japan
## 8102 30-34 Male United States of America
## 8103 30-34 Male Norway
## 8104 35-39 Male Germany
## 8105 35-39 Male Other
## 8106 35-39 Male Other
## 8107 40-44 Male Sweden
## 8108 25-29 Male United States of America
## 8109 35-39 Male United States of America
## 8110 25-29 Male India
## 8111 30-34 Female United States of America
## 8112 45-49 Male Singapore
## 8113 25-29 Male United States of America
## 8114 60-69 Male Belgium
## 8115 50-54 Male United States of America
## 8116 25-29 Male India
## 8117 35-39 Male Spain
## 8118 45-49 Male United Kingdom
## 8119 22-24 Male Canada
## 8120 22-24 Male India
## 8121 25-29 Female United States of America
## 8122 25-29 Male Germany
## 8123 25-29 Male United States of America
## 8124 25-29 Male India
## 8125 30-34 Male Peru
## 8126 35-39 Male United Kingdom
## 8127 35-39 Male India
## 8128 25-29 Prefer not to say Canada
## 8129 30-34 Prefer to self-describe Russia
## 8130 25-29 Male Pakistan
## 8131 30-34 Male United States of America
## 8132 50-54 Male Israel
## 8133 60-69 Male United States of America
## 8134 22-24 Male China
## 8135 30-34 Male Nigeria
## 8136 25-29 Male United States of America
## 8137 25-29 Male Germany
## 8138 35-39 Male Algeria
## 8139 30-34 Male United States of America
## 8140 55-59 Male Mexico
## 8141 30-34 Male United States of America
## 8142 30-34 Female United States of America
## 8143 25-29 Male Germany
## 8144 30-34 Male Morocco
## 8145 45-49 Male Canada
## 8146 35-39 Male United States of America
## 8147 60-69 Female United States of America
## 8148 22-24 Male Colombia
## 8149 25-29 Male Turkey
## 8150 30-34 Male Portugal
## 8151 25-29 Male Belgium
## 8152 22-24 Male Brazil
## 8153 25-29 Male Pakistan
## 8154 22-24 Male United States of America
## 8155 25-29 Male Russia
## 8156 25-29 Male United States of America
## 8157 30-34 Male United States of America
## 8158 35-39 Male Ireland
## 8159 35-39 Male United States of America
## 8160 25-29 Female France
## 8161 30-34 Male United States of America
## 8162 35-39 Female Germany
## 8163 22-24 Male Other
## 8164 25-29 Male Brazil
## 8165 35-39 Prefer not to say Spain
## 8166 18-21 Male Belgium
## 8167 22-24 Male United States of America
## 8168 25-29 Male United States of America
## 8169 25-29 Male United States of America
## 8170 30-34 Male India
## 8171 18-21 Male Morocco
## 8172 50-54 Female United States of America
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## 8174 50-54 Male Brazil
## 8175 22-24 Male United States of America
## 8176 50-54 Male United States of America
## 8177 50-54 Male France
## 8178 40-44 Male United States of America
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## 8180 30-34 Male India
## 8181 35-39 Male Spain
## 8182 30-34 Male Russia
## 8183 25-29 Male Belarus
## 8184 25-29 Male Brazil
## 8185 22-24 Female Belgium
## 8186 30-34 Prefer not to say Mexico
## 8187 35-39 Female France
## 8188 45-49 Female Canada
## 8189 40-44 Prefer not to say Switzerland
## 8190 22-24 Male United States of America
## 8191 18-21 Male United States of America
## 8192 35-39 Male Algeria
## 8193 25-29 Male Australia
## 8194 50-54 Male Italy
## 8195 30-34 Male Switzerland
## 8196 40-44 Male Other
## 8197 30-34 Male United States of America
## 8198 22-24 Male Other
## 8199 45-49 Male France
## 8200 40-44 Male United States of America
## 8201 70+ Male United States of America
## 8202 22-24 Female United States of America
## 8203 35-39 Female Nigeria
## 8204 50-54 Male Hungary
## 8205 22-24 Male United States of America
## 8206 45-49 Male Brazil
## 8207 35-39 Male United States of America
## 8208 60-69 Male United States of America
## 8209 18-21 Male Peru
## 8210 40-44 Male Morocco
## 8211 55-59 Male France
## 8212 35-39 Male United States of America
## 8213 30-34 Female Canada
## 8214 30-34 Female Switzerland
## 8215 45-49 Male United States of America
## 8216 18-21 Male India
## 8217 40-44 Female United States of America
## 8218 70+ Male United States of America
## 8219 50-54 Male United States of America
## 8220 50-54 Male Italy
## 8221 35-39 Male Turkey
## 8222 25-29 Male Nigeria
## 8223 25-29 Male Italy
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## 8225 18-21 Female India
## 8226 45-49 Male United States of America
## 8227 25-29 Female United States of America
## 8228 22-24 Male France
## 8229 22-24 Male Russia
## 8230 35-39 Male Norway
## 8231 25-29 Male United States of America
## 8232 22-24 Male Peru
## 8233 50-54 Male Brazil
## 8234 45-49 Female United States of America
## 8235 25-29 Female United States of America
## 8236 25-29 Male United States of America
## 8237 30-34 Male United States of America
## 8238 22-24 Female Pakistan
## 8239 45-49 Male Switzerland
## 8240 30-34 Female Egypt
## 8241 40-44 Prefer not to say United Kingdom
## 8242 30-34 Male India
## 8243 25-29 Male Australia
## 8244 18-21 Male Other
## 8245 30-34 Male Italy
## 8246 25-29 Female France
## 8247 18-21 Male India
## 8248 18-21 Male India
## 8249 40-44 Male United States of America
## 8250 18-21 Male India
## 8251 40-44 Male Nigeria
## 8252 22-24 Male Japan
## 8253 45-49 Prefer not to say United States of America
## 8254 30-34 Male Other
## 8255 55-59 Male United States of America
## 8256 30-34 Male Canada
## 8257 25-29 Prefer to self-describe United States of America
## 8258 25-29 Male Brazil
## 8259 30-34 Male Turkey
## 8260 35-39 Female United Kingdom
## 8261 40-44 Male United Kingdom
## 8262 40-44 Male United States of America
## 8263 22-24 Male Russia
## 8264 50-54 Male Canada
## 8265 30-34 Male Russia
## 8266 30-34 Female United States of America
## 8267 25-29 Female United States of America
## 8268 22-24 Male China
## 8269 25-29 Male Spain
## 8270 18-21 Female India
## 8271 25-29 Male France
## 8272 30-34 Male Germany
## 8273 35-39 Male Russia
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## 8276 25-29 Male United Kingdom
## 8277 35-39 Male United Kingdom
## 8278 25-29 Male United States of America
## 8279 35-39 Male United States of America
## 8280 55-59 Male United States of America
## 8281 22-24 Male India
## 8282 25-29 Male Canada
## 8283 25-29 Female United States of America
## 8284 55-59 Male United Kingdom
## 8285 30-34 Female Australia
## 8286 35-39 Male Australia
## 8287 18-21 Male Other
## 8288 25-29 Male Netherlands
## 8289 30-34 Male Spain
## 8290 50-54 Male United States of America
## 8291 30-34 Female Brazil
## 8292 25-29 Male India
## 8293 25-29 Male France
## 8294 45-49 Male Spain
## 8295 40-44 Male New Zealand
## 8296 30-34 Male Israel
## 8297 55-59 Male Mexico
## 8298 45-49 Female United States of America
## 8299 50-54 Male United States of America
## 8300 45-49 Male United States of America
## 8301 22-24 Male Colombia
## 8302 25-29 Male India
## 8303 30-34 Male Other
## 8304 25-29 Male United States of America
## 8305 22-24 Male India
## 8306 18-21 Male Nigeria
## 8307 30-34 Male Ukraine
## 8308 30-34 Female Brazil
## 8309 25-29 Male Nigeria
## 8310 25-29 Male Ukraine
## 8311 35-39 Male Japan
## 8312 25-29 Male India
## 8313 35-39 Male Russia
## 8314 30-34 Male New Zealand
## 8315 25-29 Male Japan
## 8316 22-24 Male India
## 8317 35-39 Female United States of America
## 8318 22-24 Male India
## 8319 40-44 Male Romania
## 8320 30-34 Male Spain
## 8321 18-21 Male India
## 8322 22-24 Male Egypt
## 8323 50-54 Male United Kingdom
## 8324 35-39 Male Brazil
## 8325 35-39 Male Japan
## 8326 25-29 Female Nigeria
## 8327 40-44 Male United States of America
## 8328 45-49 Male United Kingdom
## 8329 25-29 Male Japan
## 8330 18-21 Male Ukraine
## 8331 30-34 Female Brazil
## 8332 40-44 Male Brazil
## 8333 60-69 Male Poland
## 8334 25-29 Female United States of America
## 8335 22-24 Male India
## 8336 40-44 Male France
## 8337 30-34 Male Other
## 8338 35-39 Female Peru
## 8339 45-49 Male Australia
## 8340 18-21 Male Nigeria
## 8341 22-24 Female Morocco
## 8342 30-34 Male Germany
## 8343 30-34 Male Egypt
## 8344 30-34 Male India
## 8345 18-21 Male India
## 8346 18-21 Female Nigeria
## 8347 45-49 Male Switzerland
## 8348 25-29 Male Nigeria
## 8349 22-24 Male India
## 8350 25-29 Male Poland
## 8351 45-49 Female United States of America
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## 8353 25-29 Male Brazil
## 8354 25-29 Male India
## 8355 35-39 Male United Kingdom
## 8356 25-29 Female United States of America
## 8357 55-59 Female United States of America
## 8358 25-29 Male Denmark
## 8359 30-34 Male Egypt
## 8360 25-29 Female United States of America
## 8361 40-44 Male United States of America
## 8362 22-24 Male United States of America
## 8363 25-29 Male France
## 8364 50-54 Male Israel
## 8365 18-21 Male Nigeria
## 8366 35-39 Male United States of America
## 8367 25-29 Male Germany
## 8368 40-44 Female Other
## 8369 40-44 Male Japan
## 8370 35-39 Male Chile
## 8371 40-44 Male Norway
## 8372 25-29 Male Russia
## 8373 35-39 Female France
## 8374 25-29 Male Turkey
## 8375 25-29 Male United States of America
## 8376 25-29 Female Sweden
## 8377 40-44 Male Australia
## 8378 40-44 Male United States of America
## 8379 22-24 Female Japan
## 8380 30-34 Male Brazil
## 8381 50-54 Male Brazil
## 8382 30-34 Male Nigeria
## 8383 25-29 Male United States of America
## 8384 40-44 Male United States of America
## 8385 40-44 Male United States of America
## 8386 45-49 Male United States of America
## 8387 45-49 Male United States of America
## 8388 70+ Male Germany
## 8389 22-24 Male India
## 8390 60-69 Male United States of America
## 8391 60-69 Male United States of America
## 8392 25-29 Male Czech Republic
## 8393 40-44 Male Australia
## 8394 25-29 Male Brazil
## 8395 22-24 Male Morocco
## 8396 25-29 Male United States of America
## 8397 25-29 Male Nigeria
## 8398 22-24 Male Canada
## 8399 35-39 Male United States of America
## 8400 30-34 Male Nigeria
## 8401 45-49 Male Australia
## 8402 30-34 Male Netherlands
## 8403 40-44 Female United States of America
## 8404 35-39 Male Canada
## 8405 35-39 Male Argentina
## 8406 40-44 Male United States of America
## 8407 22-24 Male Other
## 8408 22-24 Male Nigeria
## 8409 25-29 Male United States of America
## 8410 45-49 Male United States of America
## 8411 35-39 Male Morocco
## 8412 70+ Male United States of America
## 8413 50-54 Female Portugal
## 8414 30-34 Male Spain
## 8415 60-69 Male Spain
## 8416 25-29 Male Nigeria
## 8417 60-69 Male Australia
## 8418 22-24 Male Other
## 8419 25-29 Male New Zealand
## 8420 35-39 Female United States of America
## 8421 35-39 Female Thailand
## 8422 50-54 Male United States of America
## 8423 25-29 Male United States of America
## 8424 30-34 Male India
## 8425 50-54 Male United States of America
## 8426 25-29 Male Ukraine
## 8427 55-59 Male Spain
## 8428 30-34 Male Brazil
## 8429 60-69 Male Australia
## 8430 60-69 Male United States of America
## 8431 35-39 Male United States of America
## 8432 35-39 Male Japan
## 8433 30-34 Female United States of America
## 8434 30-34 Male Italy
## 8435 25-29 Male Japan
## 8436 45-49 Male United States of America
## 8437 35-39 Male Mexico
## 8438 30-34 Male United States of America
## 8439 25-29 Female Other
## 8440 35-39 Male Japan
## 8441 35-39 Male Canada
## 8442 70+ Male United States of America
## 8443 25-29 Male United Kingdom
## 8444 40-44 Male United States of America
## 8445 25-29 Female Sweden
## 8446 22-24 Male India
## 8447 30-34 Male Brazil
## 8448 40-44 Female United States of America
## 8449 25-29 Male India
## 8450 18-21 Male Other
## 8451 60-69 Male Other
## 8452 30-34 Male Japan
## 8453 60-69 Male Australia
## 8454 25-29 Male France
## 8455 40-44 Male United States of America
## 8456 35-39 Male France
## 8457 25-29 Male Brazil
## 8458 50-54 Male Other
## 8459 25-29 Male India
## 8460 40-44 Male Canada
## 8461 18-21 Male Peru
## 8462 25-29 Female Other
## 8463 35-39 Male Germany
## 8464 60-69 Male United States of America
## 8465 30-34 Male United States of America
## 8466 30-34 Male United States of America
## 8467 30-34 Male Other
## 8468 30-34 Male Australia
## 8469 35-39 Male Poland
## 8470 55-59 Male United States of America
## 8471 35-39 Male Australia
## 8472 30-34 Male Norway
## 8473 30-34 Male Spain
## 8474 35-39 Male South Africa
## 8475 60-69 Male Egypt
## 8476 30-34 Female Egypt
## 8477 40-44 Male Australia
## 8478 25-29 Male United States of America
## 8479 22-24 Male India
## 8480 35-39 Male Canada
## 8481 35-39 Male United States of America
## 8482 18-21 Male United States of America
## 8483 25-29 Male Philippines
## 8484 45-49 Male South Korea
## 8485 55-59 Prefer not to say United States of America
## 8486 40-44 Male Australia
## 8487 18-21 Male United States of America
## 8488 25-29 Male Colombia
## 8489 25-29 Male United Kingdom
## 8490 22-24 Female Thailand
## 8491 25-29 Male United States of America
## 8492 22-24 Male Sweden
## 8493 40-44 Male United States of America
## 8494 45-49 Male India
## 8495 45-49 Female Spain
## 8496 45-49 Male Nigeria
## 8497 45-49 Male United States of America
## 8498 30-34 Male Brazil
## 8499 25-29 Male India
## 8500 35-39 Male United States of America
## 8501 40-44 Female United States of America
## 8502 50-54 Male Spain
## 8503 30-34 Male United States of America
## 8504 22-24 Male India
## 8505 18-21 Male Japan
## 8506 30-34 Male Australia
## 8507 30-34 Male India
## 8508 22-24 Male Brazil
## 8509 30-34 Male Turkey
## 8510 30-34 Male United States of America
## 8511 40-44 Male Japan
## 8512 22-24 Male United States of America
## 8513 40-44 Male Australia
## 8514 18-21 Female Pakistan
## 8515 40-44 Female Brazil
## 8516 50-54 Female United States of America
## 8517 22-24 Male Japan
## 8518 55-59 Female United States of America
## 8519 22-24 Male United States of America
## 8520 40-44 Male United States of America
## 8521 18-21 Male Nigeria
## 8522 25-29 Male United States of America
## 8523 25-29 Male Canada
## 8524 18-21 Male Colombia
## 8525 45-49 Female United States of America
## 8526 50-54 Male Australia
## 8527 22-24 Male Australia
## 8528 18-21 Male China
## 8529 25-29 Male Republic of Korea
## 8530 25-29 Female Australia
## 8531 30-34 Male Brazil
## 8532 25-29 Male Singapore
## 8533 45-49 Male Mexico
## 8534 25-29 Male Colombia
## 8535 40-44 Male Australia
## 8536 40-44 Male United States of America
## 8537 70+ Male United States of America
## 8538 30-34 Male United States of America
## 8539 22-24 Male India
## 8540 50-54 Female Japan
## 8541 25-29 Male South Korea
## 8542 60-69 Male United States of America
## 8543 18-21 Female South Korea
## 8544 22-24 Male Bangladesh
## 8545 35-39 Male India
## 8546 25-29 Female United States of America
## 8547 18-21 Male Brazil
## 8548 30-34 Male Czech Republic
## 8549 55-59 Male Malaysia
## 8550 22-24 Male India
## 8551 30-34 Male Other
## 8552 25-29 Male Morocco
## 8553 30-34 Male India
## 8554 30-34 Male Japan
## 8555 40-44 Male Australia
## 8556 55-59 Male Russia
## 8557 25-29 Male India
## 8558 25-29 Female Saudi Arabia
## 8559 30-34 Male India
## 8560 55-59 Male India
## 8561 35-39 Male United States of America
## 8562 25-29 Male Canada
## 8563 40-44 Male Japan
## 8564 50-54 Female Portugal
## 8565 30-34 Male Singapore
## 8566 30-34 Male Portugal
## 8567 55-59 Male Japan
## 8568 25-29 Male United States of America
## 8569 35-39 Male Japan
## 8570 35-39 Male Japan
## 8571 22-24 Male Morocco
## 8572 25-29 Male United States of America
## 8573 25-29 Female United States of America
## 8574 45-49 Male Japan
## 8575 22-24 Male Brazil
## 8576 25-29 Male Canada
## 8577 50-54 Male Brazil
## 8578 30-34 Male India
## 8579 22-24 Female Tunisia
## 8580 30-34 Male Peru
## 8581 18-21 Male United States of America
## 8582 40-44 Male Taiwan
## 8583 45-49 Male United States of America
## 8584 55-59 Male Poland
## 8585 22-24 Male Nigeria
## 8586 30-34 Male Pakistan
## 8587 22-24 Female United States of America
## 8588 35-39 Male United States of America
## 8589 45-49 Male Japan
## 8590 35-39 Female United States of America
## 8591 30-34 Male Hong Kong (S.A.R.)
## 8592 45-49 Male United Kingdom
## 8593 70+ Female United States of America
## 8594 45-49 Male United States of America
## 8595 18-21 Male South Korea
## 8596 40-44 Male Australia
## 8597 55-59 Male United States of America
## 8598 30-34 Male United States of America
## 8599 40-44 Male Singapore
## 8600 40-44 Male Republic of Korea
## 8601 35-39 Male Brazil
## 8602 22-24 Male Other
## 8603 30-34 Male Ireland
## 8604 25-29 Male Nigeria
## 8605 35-39 Male Taiwan
## 8606 60-69 Male United States of America
## 8607 55-59 Male Spain
## 8608 45-49 Male Australia
## 8609 35-39 Male Other
## 8610 45-49 Male Other
## 8611 30-34 Male Brazil
## 8612 30-34 Male Other
## 8613 35-39 Male Japan
## 8614 35-39 Male United States of America
## 8615 55-59 Male Thailand
## 8616 40-44 Male United States of America
## 8617 40-44 Male Brazil
## 8618 30-34 Male South Korea
## 8619 30-34 Male United States of America
## 8620 25-29 Male United States of America
## 8621 22-24 Male Egypt
## 8622 30-34 Male United States of America
## 8623 40-44 Male Australia
## 8624 40-44 Male United States of America
## 8625 50-54 Male United States of America
## 8626 22-24 Male Other
## 8627 45-49 Male Japan
## 8628 30-34 Male Colombia
## 8629 30-34 Male Taiwan
## 8630 22-24 Male Canada
## 8631 40-44 Male United States of America
## 8632 35-39 Male United States of America
## 8633 25-29 Male Australia
## 8634 25-29 Male India
## 8635 50-54 Female Japan
## 8636 25-29 Male Switzerland
## 8637 30-34 Male United States of America
## 8638 25-29 Male United States of America
## 8639 18-21 Female United States of America
## 8640 25-29 Male United States of America
## 8641 30-34 Male Indonesia
## 8642 18-21 Male Indonesia
## 8643 60-69 Male United States of America
## 8644 35-39 Male United States of America
## 8645 40-44 Male Canada
## 8646 35-39 Male Israel
## 8647 35-39 Male United States of America
## 8648 45-49 Male Japan
## 8649 45-49 Male South Korea
## 8650 22-24 Male Nigeria
## 8651 22-24 Male Brazil
## 8652 22-24 Male Nigeria
## 8653 18-21 Male India
## 8654 50-54 Male Canada
## 8655 18-21 Female United States of America
## 8656 45-49 Male Japan
## 8657 22-24 Male India
## 8658 40-44 Prefer not to say Australia
## 8659 35-39 Male Mexico
## 8660 22-24 Male Denmark
## 8661 30-34 Male Brazil
## 8662 18-21 Male India
## 8663 22-24 Female United States of America
## 8664 35-39 Male Brazil
## 8665 25-29 Male Canada
## 8666 30-34 Male Canada
## 8667 45-49 Male United States of America
## 8668 45-49 Female Russia
## 8669 35-39 Male United States of America
## 8670 25-29 Male Nigeria
## 8671 22-24 Female Colombia
## 8672 45-49 Male Viet Nam
## 8673 35-39 Male United States of America
## 8674 25-29 Female Saudi Arabia
## 8675 35-39 Female United States of America
## 8676 25-29 Male China
## 8677 18-21 Female India
## 8678 22-24 Female Indonesia
## 8679 25-29 Male Japan
## 8680 22-24 Male Brazil
## 8681 25-29 Male Republic of Korea
## 8682 30-34 Male Japan
## 8683 45-49 Male United States of America
## 8684 18-21 Male India
## 8685 55-59 Male United States of America
## 8686 30-34 Female Egypt
## 8687 30-34 Male United States of America
## 8688 25-29 Male United States of America
## 8689 35-39 Male Viet Nam
## 8690 35-39 Female United States of America
## 8691 25-29 Male United States of America
## 8692 70+ Male United States of America
## 8693 45-49 Male Japan
## 8694 25-29 Male Tunisia
## 8695 25-29 Male South Korea
## 8696 35-39 Male Hong Kong (S.A.R.)
## 8697 30-34 Male Japan
## 8698 40-44 Male South Korea
## 8699 50-54 Male Brazil
## 8700 30-34 Male Taiwan
## 8701 55-59 Male Chile
## 8702 50-54 Male Japan
## 8703 45-49 Female United States of America
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## 8705 45-49 Male Republic of Korea
## 8706 55-59 Male Brazil
## 8707 25-29 Male Philippines
## 8708 18-21 Male India
## 8709 35-39 Male Republic of Korea
## 8710 35-39 Male Colombia
## 8711 22-24 Male Malaysia
## 8712 55-59 Male United States of America
## 8713 30-34 Male United States of America
## 8714 22-24 Male Brazil
## 8715 40-44 Male Australia
## 8716 22-24 Male Brazil
## 8717 60-69 Male Japan
## 8718 22-24 Male Peru
## 8719 40-44 Male Brazil
## 8720 55-59 Male Mexico
## 8721 45-49 Female United States of America
## 8722 25-29 Male United States of America
## 8723 50-54 Male Japan
## 8724 30-34 Male South Korea
## 8725 25-29 Male United States of America
## 8726 40-44 Male China
## 8727 18-21 Male Other
## 8728 22-24 Female India
## 8729 25-29 Female Canada
## 8730 25-29 Female Germany
## 8731 18-21 Male Canada
## 8732 60-69 Male United States of America
## 8733 22-24 Male India
## 8734 25-29 Male Australia
## 8735 45-49 Female United States of America
## 8736 60-69 Male United States of America
## 8737 35-39 Prefer not to say Japan
## 8738 60-69 Male Japan
## 8739 25-29 Male Nigeria
## 8740 22-24 Female Viet Nam
## 8741 25-29 Prefer not to say China
## 8742 35-39 Male Philippines
## 8743 18-21 Female India
## 8744 25-29 Male Japan
## 8745 18-21 Male China
## 8746 25-29 Male India
## 8747 25-29 Male South Korea
## 8748 40-44 Male Taiwan
## 8749 30-34 Female United States of America
## 8750 40-44 Female United States of America
## 8751 25-29 Male Colombia
## 8752 18-21 Male China
## 8753 45-49 Male United States of America
## 8754 55-59 Female United States of America
## 8755 30-34 Male India
## 8756 18-21 Male India
## 8757 45-49 Male South Korea
## 8758 30-34 Female India
## 8759 25-29 Male United States of America
## 8760 22-24 Female United States of America
## 8761 25-29 Female Malaysia
## 8762 35-39 Male United Kingdom
## 8763 35-39 Female India
## 8764 35-39 Male United States of America
## 8765 30-34 Male Canada
## 8766 25-29 Male Brazil
## 8767 30-34 Male Japan
## 8768 25-29 Male Colombia
## 8769 18-21 Female India
## 8770 25-29 Male Brazil
## 8771 30-34 Male United States of America
## 8772 25-29 Male Hong Kong (S.A.R.)
## 8773 25-29 Male Japan
## 8774 18-21 Male India
## 8775 50-54 Male Australia
## 8776 25-29 Male United States of America
## 8777 18-21 Male India
## 8778 40-44 Male United States of America
## 8779 30-34 Male India
## 8780 18-21 Female India
## 8781 35-39 Male Viet Nam
## 8782 25-29 Male Canada
## 8783 22-24 Male Nigeria
## 8784 45-49 Male South Korea
## 8785 40-44 Male China
## 8786 30-34 Male Colombia
## 8787 25-29 Male Russia
## 8788 50-54 Male Singapore
## 8789 30-34 Male India
## 8790 60-69 Male Mexico
## 8791 45-49 Male Taiwan
## 8792 60-69 Male United States of America
## 8793 25-29 Female Malaysia
## 8794 30-34 Male Brazil
## 8795 25-29 Male Japan
## 8796 18-21 Female India
## 8797 22-24 Male United States of America
## 8798 25-29 Male India
## 8799 18-21 Male India
## 8800 50-54 Male Indonesia
## 8801 25-29 Male India
## 8802 40-44 Male Brazil
## 8803 22-24 Male Peru
## 8804 25-29 Male China
## 8805 25-29 Male Viet Nam
## 8806 50-54 Female Canada
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## 8808 25-29 Male India
## 8809 18-21 Female India
## 8810 22-24 Male China
## 8811 30-34 Male Taiwan
## 8812 30-34 Male Republic of Korea
## 8813 35-39 Male Japan
## 8814 25-29 Male Peru
## 8815 22-24 Male India
## 8816 25-29 Male India
## 8817 25-29 Male Mexico
## 8818 50-54 Male India
## 8819 60-69 Male Argentina
## 8820 30-34 Male Indonesia
## 8821 30-34 Male United States of America
## 8822 30-34 Male United States of America
## 8823 35-39 Male Japan
## 8824 25-29 Male India
## 8825 40-44 Male Brazil
## 8826 25-29 Male India
## 8827 25-29 Male Russia
## 8828 18-21 Prefer not to say Belgium
## 8829 18-21 Female Singapore
## 8830 45-49 Male India
## 8831 50-54 Prefer not to say United States of America
## 8832 25-29 Male Indonesia
## 8833 22-24 Male Colombia
## 8834 22-24 Male Other
## 8835 22-24 Male United States of America
## 8836 40-44 Male United States of America
## 8837 35-39 Male India
## 8838 55-59 Male Canada
## 8839 25-29 Male United States of America
## 8840 45-49 Female United States of America
## 8841 40-44 Male United States of America
## 8842 55-59 Male Brazil
## 8843 22-24 Male China
## 8844 25-29 Male Kenya
## 8845 25-29 Male Japan
## 8846 35-39 Female Taiwan
## 8847 50-54 Male Japan
## 8848 22-24 Male India
## 8849 18-21 Female India
## 8850 30-34 Female United States of America
## 8851 30-34 Male Brazil
## 8852 18-21 Male Brazil
## 8853 35-39 Male India
## 8854 50-54 Male Taiwan
## 8855 35-39 Male Taiwan
## 8856 30-34 Male Brazil
## 8857 30-34 Male India
## 8858 50-54 Male Singapore
## 8859 25-29 Male Belarus
## 8860 50-54 Male China
## 8861 50-54 Male South Korea
## 8862 45-49 Male United States of America
## 8863 35-39 Male Taiwan
## 8864 22-24 Male Taiwan
## 8865 25-29 Male United States of America
## 8866 30-34 Male Viet Nam
## 8867 30-34 Female United States of America
## 8868 25-29 Male India
## 8869 40-44 Male United States of America
## 8870 50-54 Female Chile
## 8871 30-34 Male United States of America
## 8872 25-29 Male China
## 8873 25-29 Male United States of America
## 8874 70+ Male United States of America
## 8875 22-24 Female Malaysia
## 8876 55-59 Male United Kingdom
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## 8878 45-49 Male Australia
## 8879 40-44 Male India
## 8880 30-34 Male Singapore
## 8881 35-39 Male Argentina
## 8882 25-29 Male China
## 8883 25-29 Male United States of America
## 8884 45-49 Male India
## 8885 45-49 Male Taiwan
## 8886 25-29 Male Australia
## 8887 25-29 Male China
## 8888 22-24 Male United States of America
## 8889 22-24 Male Brazil
## 8890 22-24 Male India
## 8891 40-44 Male Taiwan
## 8892 25-29 Male Canada
## 8893 25-29 Male Brazil
## 8894 30-34 Male United States of America
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## 8896 18-21 Male India
## 8897 22-24 Male Egypt
## 8898 30-34 Male Brazil
## 8899 45-49 Male Taiwan
## 8900 18-21 Male Japan
## 8901 25-29 Male Taiwan
## 8902 30-34 Male India
## 8903 35-39 Female India
## 8904 25-29 Male Singapore
## 8905 22-24 Male Taiwan
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## 8907 18-21 Male India
## 8908 22-24 Male India
## 8909 22-24 Male India
## 8910 25-29 Male China
## 8911 25-29 Male Singapore
## 8912 60-69 Male Other
## 8913 60-69 Male United States of America
## 8914 22-24 Male India
## 8915 35-39 Male China
## 8916 22-24 Male Singapore
## 8917 22-24 Male Australia
## 8918 40-44 Male Taiwan
## 8919 70+ Male United States of America
## 8920 25-29 Male Indonesia
## 8921 18-21 Male India
## 8922 35-39 Male Japan
## 8923 25-29 Male India
## 8924 40-44 Female United States of America
## 8925 25-29 Male Taiwan
## 8926 25-29 Male Pakistan
## 8927 60-69 Male Chile
## 8928 40-44 Female Canada
## 8929 22-24 Female India
## 8930 40-44 Male India
## 8931 35-39 Male Taiwan
## 8932 30-34 Male India
## 8933 45-49 Female United States of America
## 8934 22-24 Male Indonesia
## 8935 45-49 Male Taiwan
## 8936 45-49 Male United States of America
## 8937 18-21 Male Viet Nam
## 8938 25-29 Male Japan
## 8939 30-34 Male Malaysia
## 8940 45-49 Male India
## 8941 35-39 Male United States of America
## 8942 25-29 Male Hong Kong (S.A.R.)
## 8943 25-29 Male China
## 8944 25-29 Male Brazil
## 8945 35-39 Male Turkey
## 8946 35-39 Male Malaysia
## 8947 25-29 Female United States of America
## 8948 18-21 Male India
## 8949 50-54 Male South Korea
## 8950 18-21 Male India
## 8951 25-29 Male India
## 8952 22-24 Male China
## 8953 30-34 Male United States of America
## 8954 50-54 Male United States of America
## 8955 35-39 Male Brazil
## 8956 30-34 Male South Korea
## 8957 45-49 Female Japan
## 8958 25-29 Female India
## 8959 30-34 Male India
## 8960 22-24 Male China
## 8961 45-49 Male Japan
## 8962 25-29 Male India
## 8963 35-39 Female Italy
## 8964 22-24 Male India
## 8965 18-21 Male India
## 8966 22-24 Male United States of America
## 8967 18-21 Male India
## 8968 18-21 Male India
## 8969 25-29 Male Romania
## 8970 25-29 Male China
## 8971 30-34 Female Australia
## 8972 30-34 Male India
## 8973 22-24 Male India
## 8974 35-39 Male United States of America
## 8975 18-21 Male Kenya
## 8976 45-49 Male Pakistan
## 8977 45-49 Male Canada
## 8978 35-39 Male United States of America
## 8979 25-29 Female India
## 8980 50-54 Male Japan
## 8981 25-29 Male China
## 8982 25-29 Male India
## 8983 45-49 Female Taiwan
## 8984 30-34 Male Japan
## 8985 25-29 Male Brazil
## 8986 35-39 Male India
## 8987 30-34 Male India
## 8988 30-34 Male Brazil
## 8989 30-34 Male India
## 8990 60-69 Male India
## 8991 22-24 Male Mexico
## 8992 25-29 Male China
## 8993 22-24 Male India
## 8994 25-29 Male Taiwan
## 8995 25-29 Male India
## 8996 22-24 Male Taiwan
## 8997 18-21 Male India
## 8998 35-39 Male Japan
## 8999 35-39 Male Viet Nam
## 9000 35-39 Male Taiwan
## 9001 18-21 Male India
## 9002 25-29 Male Taiwan
## 9003 22-24 Female Hong Kong (S.A.R.)
## 9004 25-29 Male South Korea
## 9005 22-24 Male Taiwan
## 9006 18-21 Male Taiwan
## 9007 35-39 Male India
## 9008 35-39 Male India
## 9009 18-21 Female India
## 9010 25-29 Male Colombia
## 9011 22-24 Male Australia
## 9012 40-44 Male United States of America
## 9013 25-29 Female United States of America
## 9014 18-21 Male South Korea
## 9015 22-24 Male Indonesia
## 9016 22-24 Female India
## 9017 35-39 Male Indonesia
## 9018 45-49 Male United States of America
## 9019 35-39 Male India
## 9020 70+ Male United States of America
## 9021 25-29 Male Australia
## 9022 25-29 Male United States of America
## 9023 25-29 Male Indonesia
## 9024 25-29 Male Japan
## 9025 40-44 Male India
## 9026 25-29 Male United States of America
## 9027 25-29 Male Colombia
## 9028 25-29 Female United States of America
## 9029 25-29 Male India
## 9030 22-24 Male India
## 9031 50-54 Male United States of America
## 9032 25-29 Male Canada
## 9033 35-39 Female Canada
## 9034 35-39 Male United States of America
## 9035 22-24 Male Taiwan
## 9036 30-34 Male Bangladesh
## 9037 30-34 Female Philippines
## 9038 40-44 Male Argentina
## 9039 35-39 Female United States of America
## 9040 22-24 Female France
## 9041 35-39 Male Singapore
## 9042 25-29 Male Indonesia
## 9043 30-34 Male Singapore
## 9044 45-49 Male Australia
## 9045 25-29 Female India
## 9046 22-24 Male United Kingdom
## 9047 45-49 Male India
## 9048 18-21 Female India
## 9049 25-29 Male Republic of Korea
## 9050 25-29 Male Indonesia
## 9051 40-44 Male Germany
## 9052 30-34 Male United States of America
## 9053 18-21 Female India
## 9054 18-21 Male China
## 9055 40-44 Male Singapore
## 9056 50-54 Male Japan
## 9057 18-21 Male India
## 9058 40-44 Male Japan
## 9059 50-54 Prefer not to say Other
## 9060 22-24 Male China
## 9061 25-29 Male India
## 9062 35-39 Male Taiwan
## 9063 25-29 Male Taiwan
## 9064 22-24 Male India
## 9065 18-21 Male India
## 9066 30-34 Male United States of America
## 9067 30-34 Male China
## 9068 25-29 Male Indonesia
## 9069 40-44 Male Republic of Korea
## 9070 30-34 Male India
## 9071 25-29 Male China
## 9072 45-49 Female Japan
## 9073 22-24 Male United States of America
## 9074 22-24 Male India
## 9075 25-29 Male China
## 9076 35-39 Male Indonesia
## 9077 30-34 Male India
## 9078 30-34 Female India
## 9079 25-29 Female United States of America
## 9080 55-59 Male Canada
## 9081 25-29 Male Other
## 9082 22-24 Male China
## 9083 18-21 Male India
## 9084 30-34 Male Philippines
## 9085 30-34 Male India
## 9086 35-39 Male Other
## 9087 25-29 Male Japan
## 9088 25-29 Male India
## 9089 22-24 Male Japan
## 9090 30-34 Male Singapore
## 9091 30-34 Female Viet Nam
## 9092 18-21 Male India
## 9093 22-24 Male Bangladesh
## 9094 22-24 Male Other
## 9095 35-39 Male Japan
## 9096 18-21 Female India
## 9097 45-49 Male United States of America
## 9098 18-21 Male China
## 9099 35-39 Male United States of America
## 9100 18-21 Male India
## 9101 18-21 Male India
## 9102 40-44 Female India
## 9103 35-39 Male United Kingdom
## 9104 18-21 Male India
## 9105 25-29 Female Malaysia
## 9106 40-44 Male United States of America
## 9107 25-29 Male India
## 9108 18-21 Male Nigeria
## 9109 30-34 Female India
## 9110 45-49 Male Japan
## 9111 25-29 Male India
## 9112 25-29 Male China
## 9113 40-44 Male Singapore
## 9114 40-44 Female India
## 9115 30-34 Male Mexico
## 9116 18-21 Female India
## 9117 18-21 Male India
## 9118 30-34 Male India
## 9119 60-69 Male United States of America
## 9120 55-59 Male Germany
## 9121 22-24 Male Indonesia
## 9122 35-39 Female United States of America
## 9123 22-24 Female China
## 9124 40-44 Male United States of America
## 9125 50-54 Male United States of America
## 9126 22-24 Male India
## 9127 35-39 Male United States of America
## 9128 22-24 Female Viet Nam
## 9129 30-34 Male United States of America
## 9130 18-21 Male India
## 9131 18-21 Male India
## 9132 40-44 Male Other
## 9133 30-34 Female United States of America
## 9134 22-24 Male India
## 9135 30-34 Male Taiwan
## 9136 22-24 Male India
## 9137 18-21 Male India
## 9138 22-24 Male United States of America
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## 9140 18-21 Male India
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## 546 Masterâ\200\231s > 10,000
## 547 Masterâ\200\231s > 10,000
## 548 Bachelorâ\200\231s <NA>
## 549 Masterâ\200\231s <NA>
## 550 Bachelorâ\200\231s 250-999
## 551 Bachelorâ\200\231s > 10,000
## 552 Doctoral > 10,000
## 553 Masterâ\200\231s 250-999
## 554 Doctoral > 10,000
## 555 Professional 50-249
## 556 Masterâ\200\231s 0-49
## 557 Masterâ\200\231s 0-49
## 558 Bachelorâ\200\231s <NA>
## 559 Bachelorâ\200\231s 1000-9,999
## 560 Masterâ\200\231s <NA>
## 561 Masterâ\200\231s 1000-9,999
## 562 Bachelorâ\200\231s > 10,000
## 563 Masterâ\200\231s 1000-9,999
## 564 Bachelorâ\200\231s <NA>
## 565 Masterâ\200\231s > 10,000
## 566 Bachelorâ\200\231s 0-49
## 567 Doctoral 250-999
## 568 Doctoral 0-49
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## 570 Masterâ\200\231s 250-999
## 571 Masterâ\200\231s <NA>
## 572 Masterâ\200\231s 1000-9,999
## 573 Professional 0-49
## 574 Bachelorâ\200\231s 1000-9,999
## 575 Masterâ\200\231s <NA>
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## 578 Masterâ\200\231s > 10,000
## 579 Masterâ\200\231s 1000-9,999
## 580 Bachelorâ\200\231s <NA>
## 581 Bachelorâ\200\231s 0-49
## 582 Masterâ\200\231s <NA>
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## 584 Masterâ\200\231s 50-249
## 585 Masterâ\200\231s 50-249
## 586 Doctoral 0-49
## 587 Masterâ\200\231s > 10,000
## 588 Masterâ\200\231s 1000-9,999
## 589 Bachelorâ\200\231s <NA>
## 590 Doctoral 1000-9,999
## 591 Masterâ\200\231s <NA>
## 592 Masterâ\200\231s 1000-9,999
## 593 Masterâ\200\231s <NA>
## 594 Masterâ\200\231s > 10,000
## 595 I prefer not to answer > 10,000
## 596 Bachelorâ\200\231s <NA>
## 597 Bachelorâ\200\231s <NA>
## 598 Bachelorâ\200\231s <NA>
## 599 Bachelorâ\200\231s <NA>
## 600 Bachelorâ\200\231s <NA>
## 601 Doctoral 0-49
## 602 Masterâ\200\231s 1000-9,999
## 603 Masterâ\200\231s <NA>
## 604 Bachelorâ\200\231s <NA>
## 605 Masterâ\200\231s <NA>
## 606 Doctoral 250-999
## 607 Masterâ\200\231s 0-49
## 608 Masterâ\200\231s 0-49
## 609 Bachelorâ\200\231s <NA>
## 610 Masterâ\200\231s 0-49
## 611 Doctoral 250-999
## 612 Professional > 10,000
## 613 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 614 Masterâ\200\231s > 10,000
## 615 Masterâ\200\231s 50-249
## 616 Professional 1000-9,999
## 617 Masterâ\200\231s 250-999
## 618 Masterâ\200\231s > 10,000
## 619 Masterâ\200\231s > 10,000
## 620 Bachelorâ\200\231s > 10,000
## 621 Doctoral 0-49
## 622 Masterâ\200\231s <NA>
## 623 Masterâ\200\231s > 10,000
## 624 Bachelorâ\200\231s <NA>
## 625 I prefer not to answer 1000-9,999
## 626 Masterâ\200\231s 250-999
## 627 Bachelorâ\200\231s > 10,000
## 628 Bachelorâ\200\231s <NA>
## 629 Masterâ\200\231s 50-249
## 630 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 631 Bachelorâ\200\231s > 10,000
## 632 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 633 Bachelorâ\200\231s > 10,000
## 634 Doctoral > 10,000
## 635 Masterâ\200\231s > 10,000
## 636 Professional > 10,000
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## 638 Bachelorâ\200\231s <NA>
## 639 Masterâ\200\231s <NA>
## 640 Bachelorâ\200\231s <NA>
## 641 Doctoral 250-999
## 642 Bachelorâ\200\231s <NA>
## 643 Masterâ\200\231s 1000-9,999
## 644 Masterâ\200\231s 50-249
## 645 Masterâ\200\231s 0-49
## 646 Masterâ\200\231s <NA>
## 647 Bachelorâ\200\231s <NA>
## 648 Masterâ\200\231s 0-49
## 649 Masterâ\200\231s 0-49
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## 651 Bachelorâ\200\231s <NA>
## 652 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
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## 656 Professional 50-249
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## 658 Bachelorâ\200\231s 250-999
## 659 Masterâ\200\231s <NA>
## 660 Masterâ\200\231s 1000-9,999
## 661 Bachelorâ\200\231s 50-249
## 662 Masterâ\200\231s <NA>
## 663 Masterâ\200\231s 1000-9,999
## 664 Doctoral <NA>
## 665 Masterâ\200\231s 1000-9,999
## 666 Doctoral 0-49
## 667 Doctoral <NA>
## 668 Masterâ\200\231s <NA>
## 669 Bachelorâ\200\231s 1000-9,999
## 670 Bachelorâ\200\231s <NA>
## 671 Doctoral 0-49
## 672 Bachelorâ\200\231s <NA>
## 673 Masterâ\200\231s 1000-9,999
## 674 Bachelorâ\200\231s 0-49
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## 676 Masterâ\200\231s > 10,000
## 677 Bachelorâ\200\231s 1000-9,999
## 678 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 679 Bachelorâ\200\231s <NA>
## 680 Doctoral 0-49
## 681 Doctoral 1000-9,999
## 682 Masterâ\200\231s > 10,000
## 683 Masterâ\200\231s > 10,000
## 684 Doctoral 1000-9,999
## 685 Bachelorâ\200\231s <NA>
## 686 Masterâ\200\231s <NA>
## 687 Bachelorâ\200\231s 0-49
## 688 Bachelorâ\200\231s <NA>
## 689 Bachelorâ\200\231s 0-49
## 690 Masterâ\200\231s 250-999
## 691 Doctoral 0-49
## 692 Bachelorâ\200\231s > 10,000
## 693 Masterâ\200\231s 50-249
## 694 Doctoral 50-249
## 695 Doctoral 250-999
## 696 Bachelorâ\200\231s <NA>
## 697 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 698 Bachelorâ\200\231s 0-49
## 699 Doctoral 1000-9,999
## 700 Bachelorâ\200\231s 0-49
## 701 Masterâ\200\231s > 10,000
## 702 Masterâ\200\231s <NA>
## 703 Bachelorâ\200\231s <NA>
## 704 Bachelorâ\200\231s 250-999
## 705 Doctoral 1000-9,999
## 706 Doctoral 250-999
## 707 Masterâ\200\231s > 10,000
## 708 Doctoral > 10,000
## 709 Masterâ\200\231s <NA>
## 710 Masterâ\200\231s <NA>
## 711 Masterâ\200\231s 50-249
## 712 Masterâ\200\231s 0-49
## 713 Masterâ\200\231s 1000-9,999
## 714 Masterâ\200\231s 0-49
## 715 Masterâ\200\231s <NA>
## 716 Bachelorâ\200\231s 1000-9,999
## 717 Masterâ\200\231s 50-249
## 718 Bachelorâ\200\231s <NA>
## 719 Bachelorâ\200\231s <NA>
## 720 Doctoral 1000-9,999
## 721 Bachelorâ\200\231s > 10,000
## 722 Bachelorâ\200\231s <NA>
## 723 Doctoral <NA>
## 724 Masterâ\200\231s 0-49
## 725 Masterâ\200\231s 250-999
## 726 Masterâ\200\231s 1000-9,999
## 727 Masterâ\200\231s 1000-9,999
## 728 Doctoral 1000-9,999
## 729 Masterâ\200\231s 1000-9,999
## 730 Bachelorâ\200\231s <NA>
## 731 Doctoral > 10,000
## 732 Bachelorâ\200\231s <NA>
## 733 Bachelorâ\200\231s 1000-9,999
## 734 Masterâ\200\231s 0-49
## 735 Bachelorâ\200\231s 50-249
## 736 Masterâ\200\231s > 10,000
## 737 Masterâ\200\231s > 10,000
## 738 Masterâ\200\231s <NA>
## 739 Masterâ\200\231s <NA>
## 740 Masterâ\200\231s > 10,000
## 741 Masterâ\200\231s 0-49
## 742 Masterâ\200\231s <NA>
## 743 Masterâ\200\231s 1000-9,999
## 744 Bachelorâ\200\231s 250-999
## 745 Professional 0-49
## 746 Doctoral 1000-9,999
## 747 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 748 Masterâ\200\231s <NA>
## 749 Masterâ\200\231s 250-999
## 750 Masterâ\200\231s 50-249
## 751 Doctoral 250-999
## 752 Masterâ\200\231s <NA>
## 753 Doctoral 250-999
## 754 Masterâ\200\231s > 10,000
## 755 Masterâ\200\231s > 10,000
## 756 Masterâ\200\231s 250-999
## 757 Masterâ\200\231s 0-49
## 758 Doctoral 250-999
## 759 Masterâ\200\231s 250-999
## 760 Doctoral 0-49
## 761 Masterâ\200\231s 1000-9,999
## 762 Masterâ\200\231s > 10,000
## 763 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 764 Masterâ\200\231s > 10,000
## 765 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 766 Masterâ\200\231s 50-249
## 767 Masterâ\200\231s 250-999
## 768 Masterâ\200\231s > 10,000
## 769 Masterâ\200\231s 50-249
## 770 Masterâ\200\231s > 10,000
## 771 Professional > 10,000
## 772 Masterâ\200\231s > 10,000
## 773 Bachelorâ\200\231s 0-49
## 774 Professional > 10,000
## 775 Masterâ\200\231s <NA>
## 776 Bachelorâ\200\231s <NA>
## 777 Bachelorâ\200\231s 0-49
## 778 Masterâ\200\231s > 10,000
## 779 Doctoral <NA>
## 780 Professional > 10,000
## 781 Bachelorâ\200\231s <NA>
## 782 Masterâ\200\231s 0-49
## 783 Masterâ\200\231s > 10,000
## 784 Masterâ\200\231s 250-999
## 785 Bachelorâ\200\231s <NA>
## 786 Bachelorâ\200\231s 50-249
## 787 Bachelorâ\200\231s <NA>
## 788 Masterâ\200\231s <NA>
## 789 Masterâ\200\231s > 10,000
## 790 Masterâ\200\231s > 10,000
## 791 Masterâ\200\231s <NA>
## 792 Masterâ\200\231s > 10,000
## 793 Bachelorâ\200\231s 1000-9,999
## 794 Masterâ\200\231s <NA>
## 795 Doctoral > 10,000
## 796 Masterâ\200\231s > 10,000
## 797 Bachelorâ\200\231s 1000-9,999
## 798 Masterâ\200\231s <NA>
## 799 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 800 Bachelorâ\200\231s 0-49
## 801 Doctoral > 10,000
## 802 Doctoral 1000-9,999
## 803 Masterâ\200\231s 50-249
## 804 Masterâ\200\231s 250-999
## 805 Masterâ\200\231s > 10,000
## 806 Masterâ\200\231s 1000-9,999
## 807 Bachelorâ\200\231s 1000-9,999
## 808 Bachelorâ\200\231s > 10,000
## 809 Masterâ\200\231s 250-999
## 810 Masterâ\200\231s 50-249
## 811 Masterâ\200\231s 1000-9,999
## 812 No formal education past high school <NA>
## 813 Masterâ\200\231s <NA>
## 814 Masterâ\200\231s 50-249
## 815 Bachelorâ\200\231s 50-249
## 816 Masterâ\200\231s <NA>
## 817 Masterâ\200\231s 250-999
## 818 Masterâ\200\231s > 10,000
## 819 Doctoral <NA>
## 820 Masterâ\200\231s > 10,000
## 821 Bachelorâ\200\231s <NA>
## 822 Masterâ\200\231s 250-999
## 823 Masterâ\200\231s > 10,000
## 824 Doctoral 0-49
## 825 Masterâ\200\231s 0-49
## 826 Bachelorâ\200\231s > 10,000
## 827 Bachelorâ\200\231s 0-49
## 828 Masterâ\200\231s 50-249
## 829 Doctoral 250-999
## 830 Masterâ\200\231s 250-999
## 831 Doctoral 0-49
## 832 Doctoral 0-49
## 833 Masterâ\200\231s 0-49
## 834 Doctoral 1000-9,999
## 835 Masterâ\200\231s 0-49
## 836 Masterâ\200\231s <NA>
## 837 Masterâ\200\231s <NA>
## 838 Masterâ\200\231s 50-249
## 839 Masterâ\200\231s 0-49
## 840 Bachelorâ\200\231s > 10,000
## 841 Professional 250-999
## 842 Masterâ\200\231s <NA>
## 843 Bachelorâ\200\231s > 10,000
## 844 Doctoral 50-249
## 845 Doctoral 1000-9,999
## 846 Doctoral <NA>
## 847 Masterâ\200\231s > 10,000
## 848 Masterâ\200\231s > 10,000
## 849 Masterâ\200\231s <NA>
## 850 Doctoral 1000-9,999
## 851 Bachelorâ\200\231s > 10,000
## 852 Masterâ\200\231s 0-49
## 853 Doctoral 50-249
## 854 Doctoral 0-49
## 855 Masterâ\200\231s 1000-9,999
## 856 Masterâ\200\231s 0-49
## 857 Doctoral 0-49
## 858 Professional <NA>
## 859 Masterâ\200\231s <NA>
## 860 Masterâ\200\231s <NA>
## 861 Bachelorâ\200\231s <NA>
## 862 Masterâ\200\231s <NA>
## 863 Masterâ\200\231s 250-999
## 864 Bachelorâ\200\231s 0-49
## 865 Masterâ\200\231s > 10,000
## 866 Masterâ\200\231s 0-49
## 867 I prefer not to answer 0-49
## 868 Masterâ\200\231s <NA>
## 869 Masterâ\200\231s <NA>
## 870 Masterâ\200\231s <NA>
## 871 Masterâ\200\231s 0-49
## 872 Masterâ\200\231s 0-49
## 873 Doctoral 1000-9,999
## 874 Masterâ\200\231s <NA>
## 875 Masterâ\200\231s 1000-9,999
## 876 Bachelorâ\200\231s > 10,000
## 877 Masterâ\200\231s 50-249
## 878 Masterâ\200\231s 1000-9,999
## 879 Bachelorâ\200\231s 0-49
## 880 Professional > 10,000
## 881 Masterâ\200\231s <NA>
## 882 Bachelorâ\200\231s 250-999
## 883 Masterâ\200\231s 250-999
## 884 Doctoral <NA>
## 885 Masterâ\200\231s <NA>
## 886 Masterâ\200\231s > 10,000
## 887 Masterâ\200\231s 0-49
## 888 Bachelorâ\200\231s <NA>
## 889 Bachelorâ\200\231s <NA>
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## 891 Masterâ\200\231s 250-999
## 892 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 893 Masterâ\200\231s 50-249
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## 895 Masterâ\200\231s 0-49
## 896 Bachelorâ\200\231s <NA>
## 897 Bachelorâ\200\231s <NA>
## 898 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 899 Bachelorâ\200\231s > 10,000
## 900 Doctoral 0-49
## 901 Masterâ\200\231s <NA>
## 902 Masterâ\200\231s <NA>
## 903 Bachelorâ\200\231s 50-249
## 904 Masterâ\200\231s 0-49
## 905 Doctoral 0-49
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## 907 Masterâ\200\231s > 10,000
## 908 Doctoral 0-49
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## 910 Masterâ\200\231s 50-249
## 911 Bachelorâ\200\231s 50-249
## 912 Masterâ\200\231s > 10,000
## 913 Bachelorâ\200\231s <NA>
## 914 Bachelorâ\200\231s > 10,000
## 915 Masterâ\200\231s 50-249
## 916 Doctoral > 10,000
## 917 Bachelorâ\200\231s 0-49
## 918 Bachelorâ\200\231s 0-49
## 919 Masterâ\200\231s 0-49
## 920 Professional <NA>
## 921 Bachelorâ\200\231s <NA>
## 922 Bachelorâ\200\231s <NA>
## 923 Bachelorâ\200\231s 250-999
## 924 Bachelorâ\200\231s <NA>
## 925 Bachelorâ\200\231s 50-249
## 926 Professional <NA>
## 927 Masterâ\200\231s <NA>
## 928 Masterâ\200\231s 0-49
## 929 Doctoral 0-49
## 930 Masterâ\200\231s 0-49
## 931 Bachelorâ\200\231s <NA>
## 932 Bachelorâ\200\231s <NA>
## 933 Bachelorâ\200\231s <NA>
## 934 Masterâ\200\231s 0-49
## 935 Doctoral 0-49
## 936 Masterâ\200\231s <NA>
## 937 Masterâ\200\231s 50-249
## 938 Doctoral 250-999
## 939 Bachelorâ\200\231s <NA>
## 940 Doctoral 1000-9,999
## 941 Bachelorâ\200\231s 250-999
## 942 Doctoral > 10,000
## 943 Doctoral 1000-9,999
## 944 Masterâ\200\231s 1000-9,999
## 945 Masterâ\200\231s 50-249
## 946 Doctoral 250-999
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## 952 Bachelorâ\200\231s <NA>
## 953 Doctoral 1000-9,999
## 954 Masterâ\200\231s 250-999
## 955 Doctoral > 10,000
## 956 Doctoral 250-999
## 957 I prefer not to answer 50-249
## 958 Doctoral <NA>
## 959 Masterâ\200\231s <NA>
## 960 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 961 Masterâ\200\231s 0-49
## 962 Doctoral 50-249
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## 964 Masterâ\200\231s <NA>
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## 966 Masterâ\200\231s 250-999
## 967 Masterâ\200\231s 0-49
## 968 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 969 Bachelorâ\200\231s 0-49
## 970 Bachelorâ\200\231s 50-249
## 971 Masterâ\200\231s 0-49
## 972 No formal education past high school 0-49
## 973 Doctoral > 10,000
## 974 Masterâ\200\231s <NA>
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## 977 Masterâ\200\231s > 10,000
## 978 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 979 Bachelorâ\200\231s <NA>
## 980 Bachelorâ\200\231s <NA>
## 981 Masterâ\200\231s <NA>
## 982 Masterâ\200\231s 50-249
## 983 Masterâ\200\231s <NA>
## 984 Masterâ\200\231s 250-999
## 985 Bachelorâ\200\231s 250-999
## 986 Bachelorâ\200\231s <NA>
## 987 Masterâ\200\231s 50-249
## 988 Masterâ\200\231s > 10,000
## 989 Bachelorâ\200\231s 0-49
## 990 Professional 250-999
## 991 Doctoral 1000-9,999
## 992 Masterâ\200\231s 250-999
## 993 Masterâ\200\231s > 10,000
## 994 Masterâ\200\231s 1000-9,999
## 995 Bachelorâ\200\231s 0-49
## 996 Bachelorâ\200\231s 250-999
## 997 Masterâ\200\231s 0-49
## 998 Masterâ\200\231s <NA>
## 999 Masterâ\200\231s > 10,000
## 1000 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 1001 Masterâ\200\231s 1000-9,999
## 1002 Masterâ\200\231s 250-999
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## 1004 Doctoral 50-249
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## 1006 Masterâ\200\231s 1000-9,999
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## 1009 Masterâ\200\231s > 10,000
## 1010 Masterâ\200\231s <NA>
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## 1012 Doctoral > 10,000
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## 1016 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 1017 Masterâ\200\231s 50-249
## 1018 Masterâ\200\231s 0-49
## 1019 Masterâ\200\231s 50-249
## 1020 Doctoral > 10,000
## 1021 Masterâ\200\231s 250-999
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## 1023 Bachelorâ\200\231s > 10,000
## 1024 Masterâ\200\231s 0-49
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## 1027 Masterâ\200\231s 50-249
## 1028 Masterâ\200\231s 1000-9,999
## 1029 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 1030 Bachelorâ\200\231s 0-49
## 1031 Bachelorâ\200\231s > 10,000
## 1032 Bachelorâ\200\231s <NA>
## 1033 Doctoral 0-49
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## 1035 Bachelorâ\200\231s > 10,000
## 1036 Masterâ\200\231s 250-999
## 1037 Doctoral 0-49
## 1038 Bachelorâ\200\231s 50-249
## 1039 Doctoral 1000-9,999
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## 1041 Doctoral > 10,000
## 1042 Masterâ\200\231s 50-249
## 1043 Doctoral 0-49
## 1044 Masterâ\200\231s 1000-9,999
## 1045 Doctoral > 10,000
## 1046 Masterâ\200\231s <NA>
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## 1048 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 1049 Bachelorâ\200\231s 1000-9,999
## 1050 Bachelorâ\200\231s > 10,000
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## 1052 Doctoral <NA>
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## 1055 Masterâ\200\231s > 10,000
## 1056 Masterâ\200\231s 0-49
## 1057 Masterâ\200\231s 1000-9,999
## 1058 Masterâ\200\231s 50-249
## 1059 Masterâ\200\231s <NA>
## 1060 Masterâ\200\231s > 10,000
## 1061 Bachelorâ\200\231s > 10,000
## 1062 Masterâ\200\231s 250-999
## 1063 Masterâ\200\231s <NA>
## 1064 Bachelorâ\200\231s 50-249
## 1065 Masterâ\200\231s 0-49
## 1066 Bachelorâ\200\231s 50-249
## 1067 Doctoral <NA>
## 1068 Masterâ\200\231s 1000-9,999
## 1069 I prefer not to answer 0-49
## 1070 Doctoral 250-999
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## 1072 Masterâ\200\231s 250-999
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## 1074 Professional 1000-9,999
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## 1076 Bachelorâ\200\231s <NA>
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## 1078 Bachelorâ\200\231s <NA>
## 1079 Masterâ\200\231s 1000-9,999
## 1080 Bachelorâ\200\231s 250-999
## 1081 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
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## 1085 Masterâ\200\231s 250-999
## 1086 No formal education past high school 50-249
## 1087 Masterâ\200\231s 1000-9,999
## 1088 Bachelorâ\200\231s <NA>
## 1089 Bachelorâ\200\231s > 10,000
## 1090 Masterâ\200\231s 0-49
## 1091 Bachelorâ\200\231s 0-49
## 1092 Bachelorâ\200\231s <NA>
## 1093 Bachelorâ\200\231s 1000-9,999
## 1094 Masterâ\200\231s <NA>
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## 1096 Masterâ\200\231s 0-49
## 1097 Doctoral 250-999
## 1098 Masterâ\200\231s 250-999
## 1099 Bachelorâ\200\231s <NA>
## 1100 Masterâ\200\231s 1000-9,999
## 1101 Bachelorâ\200\231s > 10,000
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## 1103 Doctoral 1000-9,999
## 1104 Doctoral 1000-9,999
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## 1106 No formal education past high school <NA>
## 1107 Doctoral 50-249
## 1108 Masterâ\200\231s 50-249
## 1109 Doctoral 1000-9,999
## 1110 Doctoral <NA>
## 1111 Masterâ\200\231s 1000-9,999
## 1112 Doctoral > 10,000
## 1113 Bachelorâ\200\231s 0-49
## 1114 Bachelorâ\200\231s <NA>
## 1115 Masterâ\200\231s <NA>
## 1116 Bachelorâ\200\231s 0-49
## 1117 Doctoral 0-49
## 1118 Masterâ\200\231s 50-249
## 1119 Bachelorâ\200\231s 0-49
## 1120 Masterâ\200\231s 250-999
## 1121 Masterâ\200\231s > 10,000
## 1122 Masterâ\200\231s <NA>
## 1123 Bachelorâ\200\231s 50-249
## 1124 Masterâ\200\231s 1000-9,999
## 1125 Masterâ\200\231s 250-999
## 1126 Masterâ\200\231s 0-49
## 1127 Masterâ\200\231s 0-49
## 1128 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 1129 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 1130 Masterâ\200\231s > 10,000
## 1131 Masterâ\200\231s 0-49
## 1132 Masterâ\200\231s 50-249
## 1133 Doctoral > 10,000
## 1134 Masterâ\200\231s <NA>
## 1135 Masterâ\200\231s > 10,000
## 1136 Bachelorâ\200\231s 0-49
## 1137 Bachelorâ\200\231s <NA>
## 1138 Masterâ\200\231s 0-49
## 1139 Masterâ\200\231s 0-49
## 1140 Masterâ\200\231s 0-49
## 1141 Masterâ\200\231s 250-999
## 1142 Masterâ\200\231s 0-49
## 1143 Bachelorâ\200\231s <NA>
## 1144 Masterâ\200\231s > 10,000
## 1145 Bachelorâ\200\231s 0-49
## 1146 Masterâ\200\231s > 10,000
## 1147 Bachelorâ\200\231s <NA>
## 1148 Bachelorâ\200\231s <NA>
## 1149 Masterâ\200\231s 0-49
## 1150 Masterâ\200\231s 1000-9,999
## 1151 Masterâ\200\231s <NA>
## 1152 Masterâ\200\231s 1000-9,999
## 1153 Doctoral 0-49
## 1154 Masterâ\200\231s 0-49
## 1155 Masterâ\200\231s 1000-9,999
## 1156 Masterâ\200\231s 0-49
## 1157 Bachelorâ\200\231s > 10,000
## 1158 Bachelorâ\200\231s 0-49
## 1159 Masterâ\200\231s > 10,000
## 1160 Masterâ\200\231s 250-999
## 1161 Masterâ\200\231s 50-249
## 1162 Bachelorâ\200\231s <NA>
## 1163 Bachelorâ\200\231s 0-49
## 1164 Masterâ\200\231s 1000-9,999
## 1165 Masterâ\200\231s <NA>
## 1166 Doctoral <NA>
## 1167 Bachelorâ\200\231s <NA>
## 1168 Bachelorâ\200\231s <NA>
## 1169 Masterâ\200\231s <NA>
## 1170 Bachelorâ\200\231s <NA>
## 1171 Masterâ\200\231s 1000-9,999
## 1172 Masterâ\200\231s 1000-9,999
## 1173 Masterâ\200\231s 0-49
## 1174 Bachelorâ\200\231s <NA>
## 1175 Doctoral 1000-9,999
## 1176 Masterâ\200\231s <NA>
## 1177 Masterâ\200\231s > 10,000
## 1178 Masterâ\200\231s 250-999
## 1179 I prefer not to answer 0-49
## 1180 Bachelorâ\200\231s > 10,000
## 1181 Professional 1000-9,999
## 1182 Masterâ\200\231s <NA>
## 1183 Bachelorâ\200\231s > 10,000
## 1184 Masterâ\200\231s <NA>
## 1185 I prefer not to answer 1000-9,999
## 1186 Bachelorâ\200\231s <NA>
## 1187 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 1188 Bachelorâ\200\231s <NA>
## 1189 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 1190 Doctoral > 10,000
## 1191 Doctoral 0-49
## 1192 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 1193 Masterâ\200\231s <NA>
## 1194 Bachelorâ\200\231s 0-49
## 1195 Masterâ\200\231s 0-49
## 1196 Bachelorâ\200\231s <NA>
## 1197 Bachelorâ\200\231s > 10,000
## 1198 Masterâ\200\231s > 10,000
## 1199 Masterâ\200\231s 50-249
## 1200 Bachelorâ\200\231s > 10,000
## 1201 Doctoral 250-999
## 1202 Masterâ\200\231s 0-49
## 1203 Masterâ\200\231s 1000-9,999
## 1204 Masterâ\200\231s > 10,000
## 1205 Doctoral 250-999
## 1206 Bachelorâ\200\231s > 10,000
## 1207 Masterâ\200\231s <NA>
## 1208 Masterâ\200\231s 50-249
## 1209 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 1210 Professional <NA>
## 1211 Masterâ\200\231s <NA>
## 1212 Masterâ\200\231s <NA>
## 1213 Bachelorâ\200\231s 50-249
## 1214 Doctoral <NA>
## 1215 Doctoral 50-249
## 1216 I prefer not to answer 0-49
## 1217 Masterâ\200\231s > 10,000
## 1218 Doctoral <NA>
## 1219 Masterâ\200\231s 50-249
## 1220 Masterâ\200\231s 250-999
## 1221 Masterâ\200\231s 1000-9,999
## 1222 Bachelorâ\200\231s 0-49
## 1223 Masterâ\200\231s <NA>
## 1224 Masterâ\200\231s <NA>
## 1225 Doctoral 1000-9,999
## 1226 Masterâ\200\231s <NA>
## 1227 Masterâ\200\231s 0-49
## 1228 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 1229 Masterâ\200\231s > 10,000
## 1230 Bachelorâ\200\231s 0-49
## 1231 Bachelorâ\200\231s > 10,000
## 1232 Masterâ\200\231s 0-49
## 1233 Masterâ\200\231s 1000-9,999
## 1234 Doctoral 1000-9,999
## 1235 Doctoral 250-999
## 1236 Masterâ\200\231s > 10,000
## 1237 Masterâ\200\231s 1000-9,999
## 1238 Doctoral 0-49
## 1239 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 1240 Masterâ\200\231s > 10,000
## 1241 I prefer not to answer 0-49
## 1242 Masterâ\200\231s <NA>
## 1243 Bachelorâ\200\231s <NA>
## 1244 Masterâ\200\231s 250-999
## 1245 Masterâ\200\231s 1000-9,999
## 1246 Masterâ\200\231s 50-249
## 1247 Masterâ\200\231s 250-999
## 1248 Masterâ\200\231s 0-49
## 1249 Masterâ\200\231s > 10,000
## 1250 Masterâ\200\231s > 10,000
## 1251 Bachelorâ\200\231s <NA>
## 1252 Bachelorâ\200\231s <NA>
## 1253 Masterâ\200\231s 0-49
## 1254 Bachelorâ\200\231s > 10,000
## 1255 Professional 0-49
## 1256 Doctoral 0-49
## 1257 Masterâ\200\231s 0-49
## 1258 Professional 50-249
## 1259 Masterâ\200\231s 0-49
## 1260 Masterâ\200\231s 50-249
## 1261 Masterâ\200\231s 50-249
## 1262 Masterâ\200\231s 0-49
## 1263 Masterâ\200\231s 0-49
## 1264 Masterâ\200\231s 50-249
## 1265 Masterâ\200\231s 0-49
## 1266 Doctoral 50-249
## 1267 Masterâ\200\231s 1000-9,999
## 1268 Doctoral 0-49
## 1269 Bachelorâ\200\231s <NA>
## 1270 Bachelorâ\200\231s <NA>
## 1271 Masterâ\200\231s 50-249
## 1272 Bachelorâ\200\231s > 10,000
## 1273 Masterâ\200\231s <NA>
## 1274 Masterâ\200\231s 0-49
## 1275 Masterâ\200\231s 0-49
## 1276 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 1277 Professional > 10,000
## 1278 Professional 0-49
## 1279 Masterâ\200\231s > 10,000
## 1280 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 1281 I prefer not to answer 0-49
## 1282 Professional 0-49
## 1283 Bachelorâ\200\231s 1000-9,999
## 1284 Doctoral 250-999
## 1285 Bachelorâ\200\231s > 10,000
## 1286 Doctoral 0-49
## 1287 Masterâ\200\231s <NA>
## 1288 Bachelorâ\200\231s <NA>
## 1289 Masterâ\200\231s 250-999
## 1290 Bachelorâ\200\231s > 10,000
## 1291 Masterâ\200\231s > 10,000
## 1292 Doctoral <NA>
## 1293 Professional 0-49
## 1294 Masterâ\200\231s 1000-9,999
## 1295 Doctoral > 10,000
## 1296 Masterâ\200\231s 50-249
## 1297 Doctoral 250-999
## 1298 Bachelorâ\200\231s 250-999
## 1299 Doctoral 250-999
## 1300 Doctoral 1000-9,999
## 1301 Bachelorâ\200\231s 1000-9,999
## 1302 Bachelorâ\200\231s 0-49
## 1303 Bachelorâ\200\231s 0-49
## 1304 Doctoral 250-999
## 1305 Masterâ\200\231s > 10,000
## 1306 Bachelorâ\200\231s 0-49
## 1307 Masterâ\200\231s 250-999
## 1308 Masterâ\200\231s 0-49
## 1309 Masterâ\200\231s 50-249
## 1310 Bachelorâ\200\231s <NA>
## 1311 Masterâ\200\231s > 10,000
## 1312 Masterâ\200\231s <NA>
## 1313 Masterâ\200\231s 1000-9,999
## 1314 Masterâ\200\231s > 10,000
## 1315 Doctoral <NA>
## 1316 Masterâ\200\231s 0-49
## 1317 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 1318 Bachelorâ\200\231s > 10,000
## 1319 Doctoral 50-249
## 1320 Masterâ\200\231s 1000-9,999
## 1321 Masterâ\200\231s 0-49
## 1322 Professional 1000-9,999
## 1323 Bachelorâ\200\231s 0-49
## 1324 Doctoral > 10,000
## 1325 Masterâ\200\231s 1000-9,999
## 1326 Doctoral 1000-9,999
## 1327 Doctoral 0-49
## 1328 Bachelorâ\200\231s 1000-9,999
## 1329 Masterâ\200\231s > 10,000
## 1330 Masterâ\200\231s 1000-9,999
## 1331 Masterâ\200\231s <NA>
## 1332 Doctoral 1000-9,999
## 1333 Masterâ\200\231s > 10,000
## 1334 Doctoral 1000-9,999
## 1335 Masterâ\200\231s 0-49
## 1336 Masterâ\200\231s 1000-9,999
## 1337 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 1338 Bachelorâ\200\231s > 10,000
## 1339 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 1340 Masterâ\200\231s 0-49
## 1341 Doctoral 250-999
## 1342 Masterâ\200\231s 0-49
## 1343 Doctoral 1000-9,999
## 1344 Doctoral 0-49
## 1345 Masterâ\200\231s > 10,000
## 1346 Masterâ\200\231s 0-49
## 1347 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 1348 Bachelorâ\200\231s > 10,000
## 1349 Masterâ\200\231s 0-49
## 1350 Bachelorâ\200\231s <NA>
## 1351 Masterâ\200\231s <NA>
## 1352 Bachelorâ\200\231s 50-249
## 1353 Masterâ\200\231s > 10,000
## 1354 Doctoral 50-249
## 1355 Masterâ\200\231s 1000-9,999
## 1356 Doctoral 0-49
## 1357 Professional 50-249
## 1358 Bachelorâ\200\231s 0-49
## 1359 Masterâ\200\231s > 10,000
## 1360 Masterâ\200\231s > 10,000
## 1361 Doctoral 50-249
## 1362 Bachelorâ\200\231s 0-49
## 1363 Doctoral > 10,000
## 1364 Bachelorâ\200\231s <NA>
## 1365 Doctoral 1000-9,999
## 1366 Professional 250-999
## 1367 Masterâ\200\231s 1000-9,999
## 1368 Bachelorâ\200\231s 1000-9,999
## 1369 Bachelorâ\200\231s 0-49
## 1370 Bachelorâ\200\231s <NA>
## 1371 Bachelorâ\200\231s > 10,000
## 1372 Doctoral 0-49
## 1373 Masterâ\200\231s 50-249
## 1374 Masterâ\200\231s > 10,000
## 1375 Bachelorâ\200\231s 250-999
## 1376 Masterâ\200\231s 0-49
## 1377 Masterâ\200\231s 1000-9,999
## 1378 Masterâ\200\231s > 10,000
## 1379 Bachelorâ\200\231s 250-999
## 1380 Doctoral 250-999
## 1381 No formal education past high school <NA>
## 1382 Masterâ\200\231s 50-249
## 1383 Masterâ\200\231s <NA>
## 1384 Doctoral > 10,000
## 1385 Masterâ\200\231s 1000-9,999
## 1386 Doctoral 1000-9,999
## 1387 Masterâ\200\231s 50-249
## 1388 Masterâ\200\231s 1000-9,999
## 1389 Masterâ\200\231s > 10,000
## 1390 Bachelorâ\200\231s > 10,000
## 1391 Masterâ\200\231s <NA>
## 1392 Bachelorâ\200\231s <NA>
## 1393 Bachelorâ\200\231s <NA>
## 1394 Masterâ\200\231s 1000-9,999
## 1395 Professional 1000-9,999
## 1396 Bachelorâ\200\231s <NA>
## 1397 Bachelorâ\200\231s 0-49
## 1398 Masterâ\200\231s 0-49
## 1399 Masterâ\200\231s <NA>
## 1400 Masterâ\200\231s <NA>
## 1401 Doctoral 1000-9,999
## 1402 Bachelorâ\200\231s <NA>
## 1403 Masterâ\200\231s 0-49
## 1404 Bachelorâ\200\231s 50-249
## 1405 Bachelorâ\200\231s <NA>
## 1406 Masterâ\200\231s 1000-9,999
## 1407 Bachelorâ\200\231s 0-49
## 1408 Masterâ\200\231s <NA>
## 1409 Professional 1000-9,999
## 1410 Doctoral 250-999
## 1411 Bachelorâ\200\231s > 10,000
## 1412 Bachelorâ\200\231s <NA>
## 1413 Masterâ\200\231s 0-49
## 1414 Masterâ\200\231s 250-999
## 1415 Masterâ\200\231s 250-999
## 1416 Bachelorâ\200\231s > 10,000
## 1417 Masterâ\200\231s 1000-9,999
## 1418 Masterâ\200\231s 50-249
## 1419 Doctoral > 10,000
## 1420 Doctoral 0-49
## 1421 Doctoral 0-49
## 1422 Masterâ\200\231s > 10,000
## 1423 No formal education past high school > 10,000
## 1424 Doctoral > 10,000
## 1425 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 1426 Masterâ\200\231s <NA>
## 1427 Doctoral 0-49
## 1428 Masterâ\200\231s 0-49
## 1429 Professional <NA>
## 1430 Doctoral 0-49
## 1431 Masterâ\200\231s 1000-9,999
## 1432 Masterâ\200\231s > 10,000
## 1433 Masterâ\200\231s 1000-9,999
## 1434 Masterâ\200\231s 0-49
## 1435 I prefer not to answer <NA>
## 1436 Masterâ\200\231s > 10,000
## 1437 Doctoral 50-249
## 1438 Masterâ\200\231s <NA>
## 1439 Bachelorâ\200\231s <NA>
## 1440 Masterâ\200\231s > 10,000
## 1441 Masterâ\200\231s <NA>
## 1442 Masterâ\200\231s 50-249
## 1443 Bachelorâ\200\231s 50-249
## 1444 Bachelorâ\200\231s > 10,000
## 1445 Bachelorâ\200\231s <NA>
## 1446 Bachelorâ\200\231s <NA>
## 1447 Masterâ\200\231s 1000-9,999
## 1448 Bachelorâ\200\231s 250-999
## 1449 Masterâ\200\231s > 10,000
## 1450 Bachelorâ\200\231s 50-249
## 1451 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 1452 Masterâ\200\231s > 10,000
## 1453 Doctoral > 10,000
## 1454 Masterâ\200\231s > 10,000
## 1455 Masterâ\200\231s 1000-9,999
## 1456 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 1457 Masterâ\200\231s <NA>
## 1458 Bachelorâ\200\231s 0-49
## 1459 Bachelorâ\200\231s 0-49
## 1460 Bachelorâ\200\231s 1000-9,999
## 1461 Bachelorâ\200\231s 50-249
## 1462 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 1463 Masterâ\200\231s <NA>
## 1464 Doctoral > 10,000
## 1465 Masterâ\200\231s 50-249
## 1466 Masterâ\200\231s 1000-9,999
## 1467 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 1468 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 1469 Masterâ\200\231s 1000-9,999
## 1470 Bachelorâ\200\231s 250-999
## 1471 Masterâ\200\231s > 10,000
## 1472 Bachelorâ\200\231s 1000-9,999
## 1473 Masterâ\200\231s 0-49
## 1474 Bachelorâ\200\231s 50-249
## 1475 Bachelorâ\200\231s 0-49
## 1476 Masterâ\200\231s > 10,000
## 1477 Masterâ\200\231s <NA>
## 1478 Masterâ\200\231s 250-999
## 1479 Masterâ\200\231s 50-249
## 1480 Masterâ\200\231s > 10,000
## 1481 Masterâ\200\231s 1000-9,999
## 1482 Masterâ\200\231s 250-999
## 1483 Doctoral 1000-9,999
## 1484 Masterâ\200\231s <NA>
## 1485 Professional > 10,000
## 1486 Masterâ\200\231s 50-249
## 1487 Bachelorâ\200\231s 0-49
## 1488 Bachelorâ\200\231s <NA>
## 1489 Masterâ\200\231s 50-249
## 1490 Doctoral 1000-9,999
## 1491 Masterâ\200\231s <NA>
## 1492 Bachelorâ\200\231s 50-249
## 1493 Masterâ\200\231s 250-999
## 1494 Masterâ\200\231s > 10,000
## 1495 Bachelorâ\200\231s 0-49
## 1496 Masterâ\200\231s <NA>
## 1497 Masterâ\200\231s <NA>
## 1498 Masterâ\200\231s <NA>
## 1499 Doctoral 1000-9,999
## 1500 Masterâ\200\231s <NA>
## 1501 Bachelorâ\200\231s <NA>
## 1502 Masterâ\200\231s 250-999
## 1503 Doctoral 250-999
## 1504 Professional 0-49
## 1505 Bachelorâ\200\231s <NA>
## 1506 Masterâ\200\231s 250-999
## 1507 Masterâ\200\231s > 10,000
## 1508 Masterâ\200\231s 50-249
## 1509 Doctoral 50-249
## 1510 Doctoral 1000-9,999
## 1511 Bachelorâ\200\231s > 10,000
## 1512 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 1513 Bachelorâ\200\231s 0-49
## 1514 Doctoral 0-49
## 1515 Doctoral 0-49
## 1516 Bachelorâ\200\231s 0-49
## 1517 Doctoral 250-999
## 1518 Bachelorâ\200\231s 0-49
## 1519 Masterâ\200\231s 50-249
## 1520 Bachelorâ\200\231s 50-249
## 1521 Masterâ\200\231s 0-49
## 1522 Doctoral > 10,000
## 1523 Doctoral 1000-9,999
## 1524 Masterâ\200\231s > 10,000
## 1525 Masterâ\200\231s > 10,000
## 1526 Bachelorâ\200\231s 250-999
## 1527 Masterâ\200\231s > 10,000
## 1528 Masterâ\200\231s > 10,000
## 1529 Bachelorâ\200\231s <NA>
## 1530 Bachelorâ\200\231s 250-999
## 1531 Bachelorâ\200\231s 250-999
## 1532 Masterâ\200\231s 0-49
## 1533 Doctoral 1000-9,999
## 1534 Masterâ\200\231s 50-249
## 1535 Masterâ\200\231s > 10,000
## 1536 Bachelorâ\200\231s 50-249
## 1537 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 1538 Bachelorâ\200\231s <NA>
## 1539 Doctoral 1000-9,999
## 1540 Bachelorâ\200\231s 250-999
## 1541 No formal education past high school 1000-9,999
## 1542 Masterâ\200\231s 50-249
## 1543 Bachelorâ\200\231s 1000-9,999
## 1544 Masterâ\200\231s 1000-9,999
## 1545 Doctoral > 10,000
## 1546 Masterâ\200\231s <NA>
## 1547 Masterâ\200\231s 0-49
## 1548 Masterâ\200\231s 1000-9,999
## 1549 Bachelorâ\200\231s <NA>
## 1550 Masterâ\200\231s 250-999
## 1551 Masterâ\200\231s 250-999
## 1552 Masterâ\200\231s <NA>
## 1553 Bachelorâ\200\231s <NA>
## 1554 Masterâ\200\231s <NA>
## 1555 Masterâ\200\231s 0-49
## 1556 Doctoral 50-249
## 1557 Bachelorâ\200\231s 1000-9,999
## 1558 Masterâ\200\231s 1000-9,999
## 1559 Masterâ\200\231s > 10,000
## 1560 Masterâ\200\231s > 10,000
## 1561 Masterâ\200\231s 250-999
## 1562 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 1563 Doctoral > 10,000
## 1564 Masterâ\200\231s > 10,000
## 1565 Bachelorâ\200\231s 1000-9,999
## 1566 Masterâ\200\231s <NA>
## 1567 Masterâ\200\231s 1000-9,999
## 1568 Doctoral <NA>
## 1569 Masterâ\200\231s 50-249
## 1570 Bachelorâ\200\231s 1000-9,999
## 1571 Doctoral 0-49
## 1572 Masterâ\200\231s 0-49
## 1573 Doctoral 0-49
## 1574 Professional 0-49
## 1575 Professional 250-999
## 1576 Bachelorâ\200\231s 50-249
## 1577 Doctoral 1000-9,999
## 1578 Masterâ\200\231s <NA>
## 1579 I prefer not to answer > 10,000
## 1580 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 1581 Masterâ\200\231s 1000-9,999
## 1582 Masterâ\200\231s 250-999
## 1583 Masterâ\200\231s 1000-9,999
## 1584 Doctoral > 10,000
## 1585 Masterâ\200\231s 50-249
## 1586 Masterâ\200\231s 0-49
## 1587 Masterâ\200\231s > 10,000
## 1588 Bachelorâ\200\231s <NA>
## 1589 Masterâ\200\231s 50-249
## 1590 Bachelorâ\200\231s 1000-9,999
## 1591 Masterâ\200\231s <NA>
## 1592 Masterâ\200\231s 0-49
## 1593 I prefer not to answer 0-49
## 1594 Masterâ\200\231s <NA>
## 1595 Bachelorâ\200\231s 0-49
## 1596 Doctoral 1000-9,999
## 1597 Doctoral > 10,000
## 1598 Bachelorâ\200\231s <NA>
## 1599 Masterâ\200\231s 0-49
## 1600 Bachelorâ\200\231s <NA>
## 1601 Masterâ\200\231s > 10,000
## 1602 Doctoral 50-249
## 1603 No formal education past high school 250-999
## 1604 Doctoral <NA>
## 1605 Professional <NA>
## 1606 Masterâ\200\231s <NA>
## 1607 Professional 1000-9,999
## 1608 Bachelorâ\200\231s > 10,000
## 1609 Doctoral > 10,000
## 1610 Masterâ\200\231s <NA>
## 1611 Masterâ\200\231s 1000-9,999
## 1612 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 1613 I prefer not to answer 0-49
## 1614 Masterâ\200\231s 0-49
## 1615 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 1616 Professional 250-999
## 1617 Bachelorâ\200\231s <NA>
## 1618 Masterâ\200\231s 1000-9,999
## 1619 Doctoral > 10,000
## 1620 Masterâ\200\231s 0-49
## 1621 Doctoral 250-999
## 1622 Doctoral 50-249
## 1623 Masterâ\200\231s > 10,000
## 1624 Bachelorâ\200\231s 50-249
## 1625 Doctoral 250-999
## 1626 Doctoral 0-49
## 1627 Masterâ\200\231s > 10,000
## 1628 Doctoral > 10,000
## 1629 Masterâ\200\231s > 10,000
## 1630 Bachelorâ\200\231s 250-999
## 1631 Masterâ\200\231s 250-999
## 1632 Masterâ\200\231s 50-249
## 1633 Masterâ\200\231s > 10,000
## 1634 Masterâ\200\231s 50-249
## 1635 Masterâ\200\231s <NA>
## 1636 Masterâ\200\231s > 10,000
## 1637 Masterâ\200\231s 0-49
## 1638 Bachelorâ\200\231s 0-49
## 1639 Bachelorâ\200\231s > 10,000
## 1640 Doctoral 1000-9,999
## 1641 Bachelorâ\200\231s <NA>
## 1642 Masterâ\200\231s > 10,000
## 1643 Masterâ\200\231s > 10,000
## 1644 Bachelorâ\200\231s 50-249
## 1645 Masterâ\200\231s 250-999
## 1646 Bachelorâ\200\231s > 10,000
## 1647 Masterâ\200\231s <NA>
## 1648 Masterâ\200\231s 0-49
## 1649 Doctoral 0-49
## 1650 Masterâ\200\231s <NA>
## 1651 Bachelorâ\200\231s <NA>
## 1652 Masterâ\200\231s 50-249
## 1653 Masterâ\200\231s > 10,000
## 1654 Bachelorâ\200\231s <NA>
## 1655 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 1656 Masterâ\200\231s 1000-9,999
## 1657 Bachelorâ\200\231s 250-999
## 1658 Masterâ\200\231s 50-249
## 1659 Masterâ\200\231s 1000-9,999
## 1660 Masterâ\200\231s 0-49
## 1661 Doctoral 0-49
## 1662 Masterâ\200\231s <NA>
## 1663 Doctoral 0-49
## 1664 Bachelorâ\200\231s 0-49
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## 1734 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 1735 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
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## 1874 Bachelorâ\200\231s <NA>
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## 1890 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
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## 1911 Bachelorâ\200\231s <NA>
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## 1917 Doctoral 1000-9,999
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## 1919 Bachelorâ\200\231s <NA>
## 1920 Masterâ\200\231s > 10,000
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## 1930 Bachelorâ\200\231s <NA>
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## 1938 Bachelorâ\200\231s 0-49
## 1939 Masterâ\200\231s 1000-9,999
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## 1941 Bachelorâ\200\231s 0-49
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## 1945 Masterâ\200\231s <NA>
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## 1949 Masterâ\200\231s 0-49
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## 1979 Masterâ\200\231s <NA>
## 1980 Doctoral <NA>
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## 1990 Doctoral > 10,000
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## 1996 Masterâ\200\231s <NA>
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## 2011 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
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## 2228 Masterâ\200\231s > 10,000
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## 2230 Masterâ\200\231s 0-49
## 2231 Masterâ\200\231s 250-999
## 2232 Bachelorâ\200\231s <NA>
## 2233 Bachelorâ\200\231s 0-49
## 2234 Bachelorâ\200\231s <NA>
## 2235 I prefer not to answer <NA>
## 2236 Professional 0-49
## 2237 Masterâ\200\231s 0-49
## 2238 Masterâ\200\231s 1000-9,999
## 2239 Bachelorâ\200\231s <NA>
## 2240 Bachelorâ\200\231s <NA>
## 2241 Masterâ\200\231s 0-49
## 2242 Masterâ\200\231s > 10,000
## 2243 Masterâ\200\231s > 10,000
## 2244 Masterâ\200\231s > 10,000
## 2245 Masterâ\200\231s 250-999
## 2246 Bachelorâ\200\231s 0-49
## 2247 Masterâ\200\231s > 10,000
## 2248 Bachelorâ\200\231s <NA>
## 2249 Masterâ\200\231s 0-49
## 2250 Doctoral <NA>
## 2251 Masterâ\200\231s <NA>
## 2252 Masterâ\200\231s 50-249
## 2253 Doctoral > 10,000
## 2254 Masterâ\200\231s 1000-9,999
## 2255 Bachelorâ\200\231s 1000-9,999
## 2256 Bachelorâ\200\231s 1000-9,999
## 2257 Doctoral 0-49
## 2258 Masterâ\200\231s 1000-9,999
## 2259 Masterâ\200\231s 1000-9,999
## 2260 Bachelorâ\200\231s <NA>
## 2261 Doctoral 1000-9,999
## 2262 Doctoral 1000-9,999
## 2263 Masterâ\200\231s 50-249
## 2264 Masterâ\200\231s <NA>
## 2265 Masterâ\200\231s 50-249
## 2266 Bachelorâ\200\231s <NA>
## 2267 Bachelorâ\200\231s 250-999
## 2268 Bachelorâ\200\231s <NA>
## 2269 Bachelorâ\200\231s 0-49
## 2270 Masterâ\200\231s 0-49
## 2271 Masterâ\200\231s > 10,000
## 2272 Bachelorâ\200\231s <NA>
## 2273 Bachelorâ\200\231s <NA>
## 2274 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
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## 2276 Masterâ\200\231s 0-49
## 2277 Masterâ\200\231s > 10,000
## 2278 Doctoral <NA>
## 2279 Professional 1000-9,999
## 2280 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 2281 Masterâ\200\231s > 10,000
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## 2284 Bachelorâ\200\231s <NA>
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## 2288 Bachelorâ\200\231s 250-999
## 2289 Masterâ\200\231s > 10,000
## 2290 Masterâ\200\231s 250-999
## 2291 Bachelorâ\200\231s > 10,000
## 2292 Doctoral > 10,000
## 2293 Bachelorâ\200\231s 0-49
## 2294 Bachelorâ\200\231s 50-249
## 2295 Masterâ\200\231s 1000-9,999
## 2296 Doctoral 50-249
## 2297 Doctoral <NA>
## 2298 Masterâ\200\231s > 10,000
## 2299 I prefer not to answer 0-49
## 2300 Professional 50-249
## 2301 Masterâ\200\231s 0-49
## 2302 Masterâ\200\231s 250-999
## 2303 Masterâ\200\231s > 10,000
## 2304 Masterâ\200\231s 0-49
## 2305 Bachelorâ\200\231s 50-249
## 2306 Bachelorâ\200\231s > 10,000
## 2307 Masterâ\200\231s > 10,000
## 2308 Bachelorâ\200\231s > 10,000
## 2309 Masterâ\200\231s > 10,000
## 2310 Masterâ\200\231s <NA>
## 2311 Masterâ\200\231s 1000-9,999
## 2312 Bachelorâ\200\231s <NA>
## 2313 Bachelorâ\200\231s 1000-9,999
## 2314 Bachelorâ\200\231s 250-999
## 2315 Masterâ\200\231s > 10,000
## 2316 I prefer not to answer 50-249
## 2317 Bachelorâ\200\231s 50-249
## 2318 Masterâ\200\231s 0-49
## 2319 Bachelorâ\200\231s <NA>
## 2320 Bachelorâ\200\231s <NA>
## 2321 Bachelorâ\200\231s 250-999
## 2322 Masterâ\200\231s 0-49
## 2323 Masterâ\200\231s 250-999
## 2324 Masterâ\200\231s <NA>
## 2325 Masterâ\200\231s > 10,000
## 2326 Bachelorâ\200\231s 1000-9,999
## 2327 Professional 50-249
## 2328 Bachelorâ\200\231s 50-249
## 2329 Bachelorâ\200\231s > 10,000
## 2330 Bachelorâ\200\231s <NA>
## 2331 Masterâ\200\231s 1000-9,999
## 2332 Doctoral 50-249
## 2333 Masterâ\200\231s 1000-9,999
## 2334 Masterâ\200\231s 50-249
## 2335 Masterâ\200\231s <NA>
## 2336 Masterâ\200\231s <NA>
## 2337 Bachelorâ\200\231s 50-249
## 2338 Masterâ\200\231s > 10,000
## 2339 Doctoral 1000-9,999
## 2340 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 2341 Doctoral > 10,000
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## 2343 Bachelorâ\200\231s > 10,000
## 2344 Bachelorâ\200\231s <NA>
## 2345 Bachelorâ\200\231s <NA>
## 2346 Masterâ\200\231s <NA>
## 2347 Masterâ\200\231s <NA>
## 2348 Bachelorâ\200\231s <NA>
## 2349 Masterâ\200\231s > 10,000
## 2350 Bachelorâ\200\231s <NA>
## 2351 Doctoral 1000-9,999
## 2352 Masterâ\200\231s 250-999
## 2353 Masterâ\200\231s 0-49
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## 2355 Masterâ\200\231s 1000-9,999
## 2356 Masterâ\200\231s > 10,000
## 2357 Bachelorâ\200\231s <NA>
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## 2360 Masterâ\200\231s 50-249
## 2361 Bachelorâ\200\231s 50-249
## 2362 Bachelorâ\200\231s > 10,000
## 2363 Bachelorâ\200\231s 0-49
## 2364 Bachelorâ\200\231s 0-49
## 2365 Masterâ\200\231s <NA>
## 2366 Doctoral 50-249
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## 2368 Bachelorâ\200\231s <NA>
## 2369 Bachelorâ\200\231s 250-999
## 2370 Bachelorâ\200\231s 50-249
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## 2373 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 2374 Masterâ\200\231s 50-249
## 2375 Bachelorâ\200\231s 0-49
## 2376 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 2377 Masterâ\200\231s 0-49
## 2378 Masterâ\200\231s 50-249
## 2379 Masterâ\200\231s 1000-9,999
## 2380 Masterâ\200\231s <NA>
## 2381 Doctoral 0-49
## 2382 Bachelorâ\200\231s 50-249
## 2383 Masterâ\200\231s > 10,000
## 2384 Doctoral 0-49
## 2385 Masterâ\200\231s 50-249
## 2386 Doctoral > 10,000
## 2387 Bachelorâ\200\231s 1000-9,999
## 2388 Masterâ\200\231s <NA>
## 2389 Masterâ\200\231s 1000-9,999
## 2390 Bachelorâ\200\231s <NA>
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## 2392 Bachelorâ\200\231s > 10,000
## 2393 Bachelorâ\200\231s 0-49
## 2394 Bachelorâ\200\231s 1000-9,999
## 2395 Bachelorâ\200\231s 1000-9,999
## 2396 Masterâ\200\231s 1000-9,999
## 2397 Bachelorâ\200\231s <NA>
## 2398 Doctoral 0-49
## 2399 Bachelorâ\200\231s <NA>
## 2400 Bachelorâ\200\231s <NA>
## 2401 Masterâ\200\231s > 10,000
## 2402 Masterâ\200\231s > 10,000
## 2403 Masterâ\200\231s <NA>
## 2404 Masterâ\200\231s > 10,000
## 2405 Doctoral <NA>
## 2406 Professional 0-49
## 2407 Doctoral 250-999
## 2408 Bachelorâ\200\231s > 10,000
## 2409 Doctoral <NA>
## 2410 Doctoral 250-999
## 2411 Professional > 10,000
## 2412 Masterâ\200\231s > 10,000
## 2413 Bachelorâ\200\231s 0-49
## 2414 Masterâ\200\231s 0-49
## 2415 Bachelorâ\200\231s 1000-9,999
## 2416 Masterâ\200\231s > 10,000
## 2417 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 2418 Masterâ\200\231s > 10,000
## 2419 Masterâ\200\231s <NA>
## 2420 I prefer not to answer <NA>
## 2421 Bachelorâ\200\231s <NA>
## 2422 Bachelorâ\200\231s <NA>
## 2423 Doctoral 250-999
## 2424 Bachelorâ\200\231s 1000-9,999
## 2425 Doctoral 0-49
## 2426 Masterâ\200\231s <NA>
## 2427 Masterâ\200\231s 250-999
## 2428 Masterâ\200\231s <NA>
## 2429 Masterâ\200\231s > 10,000
## 2430 Masterâ\200\231s 1000-9,999
## 2431 Professional 50-249
## 2432 Bachelorâ\200\231s <NA>
## 2433 Masterâ\200\231s 0-49
## 2434 Masterâ\200\231s <NA>
## 2435 Masterâ\200\231s 1000-9,999
## 2436 Masterâ\200\231s 1000-9,999
## 2437 Masterâ\200\231s 1000-9,999
## 2438 Bachelorâ\200\231s 0-49
## 2439 Bachelorâ\200\231s 0-49
## 2440 Doctoral 1000-9,999
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## 2442 Bachelorâ\200\231s <NA>
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## 2444 Masterâ\200\231s 250-999
## 2445 Doctoral > 10,000
## 2446 Masterâ\200\231s > 10,000
## 2447 Bachelorâ\200\231s <NA>
## 2448 Masterâ\200\231s 1000-9,999
## 2449 Masterâ\200\231s 250-999
## 2450 Masterâ\200\231s > 10,000
## 2451 Masterâ\200\231s 0-49
## 2452 Doctoral 1000-9,999
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## 2455 Masterâ\200\231s 1000-9,999
## 2456 Doctoral 1000-9,999
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## 2458 Masterâ\200\231s 250-999
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## 2460 Doctoral > 10,000
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## 2462 Masterâ\200\231s 0-49
## 2463 Masterâ\200\231s 250-999
## 2464 Masterâ\200\231s 1000-9,999
## 2465 Masterâ\200\231s 250-999
## 2466 Masterâ\200\231s 1000-9,999
## 2467 Bachelorâ\200\231s <NA>
## 2468 Masterâ\200\231s > 10,000
## 2469 Masterâ\200\231s 250-999
## 2470 Masterâ\200\231s <NA>
## 2471 Bachelorâ\200\231s 0-49
## 2472 Bachelorâ\200\231s <NA>
## 2473 Bachelorâ\200\231s > 10,000
## 2474 Doctoral 0-49
## 2475 Masterâ\200\231s <NA>
## 2476 Masterâ\200\231s 0-49
## 2477 Masterâ\200\231s > 10,000
## 2478 Masterâ\200\231s <NA>
## 2479 Masterâ\200\231s 1000-9,999
## 2480 Masterâ\200\231s 1000-9,999
## 2481 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 2482 Bachelorâ\200\231s 1000-9,999
## 2483 Doctoral <NA>
## 2484 Masterâ\200\231s <NA>
## 2485 Bachelorâ\200\231s <NA>
## 2486 Doctoral 50-249
## 2487 Bachelorâ\200\231s 0-49
## 2488 Bachelorâ\200\231s <NA>
## 2489 Bachelorâ\200\231s 0-49
## 2490 Masterâ\200\231s 250-999
## 2491 Masterâ\200\231s 0-49
## 2492 Bachelorâ\200\231s > 10,000
## 2493 Masterâ\200\231s 1000-9,999
## 2494 Bachelorâ\200\231s > 10,000
## 2495 Masterâ\200\231s 1000-9,999
## 2496 Doctoral > 10,000
## 2497 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 2498 Bachelorâ\200\231s 250-999
## 2499 Bachelorâ\200\231s > 10,000
## 2500 Bachelorâ\200\231s <NA>
## 2501 Masterâ\200\231s 0-49
## 2502 Bachelorâ\200\231s 0-49
## 2503 Bachelorâ\200\231s <NA>
## 2504 Bachelorâ\200\231s > 10,000
## 2505 Bachelorâ\200\231s > 10,000
## 2506 Bachelorâ\200\231s <NA>
## 2507 Doctoral 1000-9,999
## 2508 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 2509 Masterâ\200\231s 250-999
## 2510 Masterâ\200\231s > 10,000
## 2511 Bachelorâ\200\231s <NA>
## 2512 Bachelorâ\200\231s 50-249
## 2513 Doctoral 50-249
## 2514 Masterâ\200\231s 0-49
## 2515 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 2516 Masterâ\200\231s <NA>
## 2517 Bachelorâ\200\231s 250-999
## 2518 Bachelorâ\200\231s 1000-9,999
## 2519 Doctoral 1000-9,999
## 2520 Masterâ\200\231s <NA>
## 2521 Masterâ\200\231s 0-49
## 2522 Bachelorâ\200\231s 0-49
## 2523 Bachelorâ\200\231s > 10,000
## 2524 Bachelorâ\200\231s 0-49
## 2525 Masterâ\200\231s 0-49
## 2526 Masterâ\200\231s 50-249
## 2527 Masterâ\200\231s > 10,000
## 2528 Doctoral 0-49
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## 2530 Doctoral > 10,000
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## 2534 Masterâ\200\231s 50-249
## 2535 Bachelorâ\200\231s 0-49
## 2536 Masterâ\200\231s 1000-9,999
## 2537 Masterâ\200\231s > 10,000
## 2538 Bachelorâ\200\231s <NA>
## 2539 Bachelorâ\200\231s <NA>
## 2540 Bachelorâ\200\231s <NA>
## 2541 Masterâ\200\231s 250-999
## 2542 Masterâ\200\231s <NA>
## 2543 Bachelorâ\200\231s <NA>
## 2544 Bachelorâ\200\231s 0-49
## 2545 Masterâ\200\231s > 10,000
## 2546 Professional 50-249
## 2547 Masterâ\200\231s > 10,000
## 2548 Masterâ\200\231s 1000-9,999
## 2549 Masterâ\200\231s <NA>
## 2550 Masterâ\200\231s > 10,000
## 2551 Masterâ\200\231s > 10,000
## 2552 Masterâ\200\231s 1000-9,999
## 2553 Bachelorâ\200\231s > 10,000
## 2554 Masterâ\200\231s 250-999
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## 2556 Masterâ\200\231s > 10,000
## 2557 Masterâ\200\231s 0-49
## 2558 Bachelorâ\200\231s 50-249
## 2559 Doctoral 50-249
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## 2561 Masterâ\200\231s 0-49
## 2562 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 2563 Doctoral > 10,000
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## 2566 Masterâ\200\231s 250-999
## 2567 Bachelorâ\200\231s 0-49
## 2568 Bachelorâ\200\231s 250-999
## 2569 Bachelorâ\200\231s 0-49
## 2570 Masterâ\200\231s > 10,000
## 2571 Masterâ\200\231s > 10,000
## 2572 Masterâ\200\231s 0-49
## 2573 Professional 250-999
## 2574 No formal education past high school 0-49
## 2575 Masterâ\200\231s 250-999
## 2576 Bachelorâ\200\231s 1000-9,999
## 2577 Masterâ\200\231s 1000-9,999
## 2578 Bachelorâ\200\231s > 10,000
## 2579 Masterâ\200\231s 1000-9,999
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## 2584 Bachelorâ\200\231s 0-49
## 2585 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 2586 I prefer not to answer > 10,000
## 2587 Masterâ\200\231s 50-249
## 2588 Masterâ\200\231s 250-999
## 2589 Masterâ\200\231s 1000-9,999
## 2590 Masterâ\200\231s 50-249
## 2591 Bachelorâ\200\231s > 10,000
## 2592 Doctoral 1000-9,999
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## 2594 Masterâ\200\231s <NA>
## 2595 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 2596 Masterâ\200\231s > 10,000
## 2597 Bachelorâ\200\231s <NA>
## 2598 Bachelorâ\200\231s <NA>
## 2599 Masterâ\200\231s 1000-9,999
## 2600 Professional > 10,000
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## 2603 Professional <NA>
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## 2605 Doctoral > 10,000
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## 2607 Masterâ\200\231s > 10,000
## 2608 Bachelorâ\200\231s <NA>
## 2609 Bachelorâ\200\231s <NA>
## 2610 Masterâ\200\231s <NA>
## 2611 Masterâ\200\231s <NA>
## 2612 Masterâ\200\231s 0-49
## 2613 Bachelorâ\200\231s <NA>
## 2614 Bachelorâ\200\231s <NA>
## 2615 Doctoral 0-49
## 2616 Bachelorâ\200\231s > 10,000
## 2617 Bachelorâ\200\231s 50-249
## 2618 Doctoral 50-249
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## 2620 Doctoral 50-249
## 2621 Masterâ\200\231s <NA>
## 2622 Bachelorâ\200\231s 250-999
## 2623 Doctoral 0-49
## 2624 Masterâ\200\231s <NA>
## 2625 Masterâ\200\231s 250-999
## 2626 Bachelorâ\200\231s 50-249
## 2627 Doctoral 1000-9,999
## 2628 Masterâ\200\231s 1000-9,999
## 2629 Masterâ\200\231s <NA>
## 2630 Bachelorâ\200\231s 1000-9,999
## 2631 Bachelorâ\200\231s 250-999
## 2632 Bachelorâ\200\231s <NA>
## 2633 Bachelorâ\200\231s > 10,000
## 2634 Bachelorâ\200\231s <NA>
## 2635 Masterâ\200\231s 1000-9,999
## 2636 Doctoral 1000-9,999
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## 2639 Masterâ\200\231s 50-249
## 2640 No formal education past high school 50-249
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## 2642 Doctoral 0-49
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## 2645 Doctoral 1000-9,999
## 2646 Masterâ\200\231s 1000-9,999
## 2647 Bachelorâ\200\231s <NA>
## 2648 Masterâ\200\231s > 10,000
## 2649 Bachelorâ\200\231s 1000-9,999
## 2650 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
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## 2654 Masterâ\200\231s > 10,000
## 2655 Masterâ\200\231s 50-249
## 2656 Masterâ\200\231s 1000-9,999
## 2657 Doctoral 50-249
## 2658 Bachelorâ\200\231s <NA>
## 2659 Doctoral 250-999
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## 2662 Bachelorâ\200\231s > 10,000
## 2663 Masterâ\200\231s <NA>
## 2664 No formal education past high school 1000-9,999
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## 2667 Professional 50-249
## 2668 Doctoral 50-249
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## 2670 Bachelorâ\200\231s > 10,000
## 2671 Bachelorâ\200\231s 50-249
## 2672 Masterâ\200\231s 250-999
## 2673 Bachelorâ\200\231s <NA>
## 2674 Bachelorâ\200\231s 50-249
## 2675 Masterâ\200\231s <NA>
## 2676 Bachelorâ\200\231s 50-249
## 2677 Masterâ\200\231s <NA>
## 2678 Doctoral <NA>
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## 2681 Bachelorâ\200\231s <NA>
## 2682 Masterâ\200\231s 1000-9,999
## 2683 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 2684 Doctoral > 10,000
## 2685 Bachelorâ\200\231s > 10,000
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## 2687 Bachelorâ\200\231s > 10,000
## 2688 Bachelorâ\200\231s 1000-9,999
## 2689 Doctoral 50-249
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## 2692 Masterâ\200\231s 50-249
## 2693 Doctoral <NA>
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## 2697 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 2698 Masterâ\200\231s 250-999
## 2699 Masterâ\200\231s <NA>
## 2700 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 2701 Bachelorâ\200\231s <NA>
## 2702 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 2703 Bachelorâ\200\231s <NA>
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## 2705 Bachelorâ\200\231s 250-999
## 2706 Doctoral 1000-9,999
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## 2708 Masterâ\200\231s <NA>
## 2709 Professional > 10,000
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## 2712 Bachelorâ\200\231s 0-49
## 2713 Masterâ\200\231s 50-249
## 2714 Bachelorâ\200\231s 250-999
## 2715 Doctoral 1000-9,999
## 2716 Bachelorâ\200\231s <NA>
## 2717 Bachelorâ\200\231s <NA>
## 2718 Bachelorâ\200\231s 250-999
## 2719 Masterâ\200\231s 0-49
## 2720 Bachelorâ\200\231s <NA>
## 2721 Doctoral 250-999
## 2722 Masterâ\200\231s > 10,000
## 2723 Doctoral 250-999
## 2724 Masterâ\200\231s 250-999
## 2725 Masterâ\200\231s 250-999
## 2726 Doctoral 50-249
## 2727 Masterâ\200\231s 1000-9,999
## 2728 Masterâ\200\231s 250-999
## 2729 Bachelorâ\200\231s <NA>
## 2730 I prefer not to answer <NA>
## 2731 Masterâ\200\231s 1000-9,999
## 2732 Masterâ\200\231s 50-249
## 2733 Masterâ\200\231s 50-249
## 2734 Masterâ\200\231s <NA>
## 2735 Bachelorâ\200\231s > 10,000
## 2736 Masterâ\200\231s > 10,000
## 2737 Doctoral 0-49
## 2738 Doctoral <NA>
## 2739 I prefer not to answer 0-49
## 2740 Masterâ\200\231s 50-249
## 2741 Bachelorâ\200\231s > 10,000
## 2742 Masterâ\200\231s > 10,000
## 2743 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 2744 Masterâ\200\231s > 10,000
## 2745 Masterâ\200\231s > 10,000
## 2746 Masterâ\200\231s 1000-9,999
## 2747 Masterâ\200\231s > 10,000
## 2748 Professional <NA>
## 2749 Masterâ\200\231s 1000-9,999
## 2750 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 2751 Bachelorâ\200\231s 1000-9,999
## 2752 Bachelorâ\200\231s 0-49
## 2753 Bachelorâ\200\231s 250-999
## 2754 Bachelorâ\200\231s > 10,000
## 2755 Bachelorâ\200\231s 250-999
## 2756 Masterâ\200\231s 250-999
## 2757 Masterâ\200\231s 0-49
## 2758 Masterâ\200\231s 0-49
## 2759 Bachelorâ\200\231s 0-49
## 2760 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 2761 Masterâ\200\231s 250-999
## 2762 Doctoral > 10,000
## 2763 Professional <NA>
## 2764 Bachelorâ\200\231s <NA>
## 2765 Masterâ\200\231s 50-249
## 2766 Bachelorâ\200\231s > 10,000
## 2767 Bachelorâ\200\231s 50-249
## 2768 Bachelorâ\200\231s 0-49
## 2769 Masterâ\200\231s 50-249
## 2770 Masterâ\200\231s 1000-9,999
## 2771 Bachelorâ\200\231s <NA>
## 2772 Masterâ\200\231s 1000-9,999
## 2773 Doctoral > 10,000
## 2774 Masterâ\200\231s <NA>
## 2775 I prefer not to answer 1000-9,999
## 2776 Bachelorâ\200\231s 1000-9,999
## 2777 Masterâ\200\231s <NA>
## 2778 Doctoral <NA>
## 2779 Bachelorâ\200\231s <NA>
## 2780 Bachelorâ\200\231s 1000-9,999
## 2781 Masterâ\200\231s 250-999
## 2782 Masterâ\200\231s 1000-9,999
## 2783 Bachelorâ\200\231s <NA>
## 2784 Masterâ\200\231s 250-999
## 2785 Bachelorâ\200\231s 0-49
## 2786 Doctoral 0-49
## 2787 Masterâ\200\231s 0-49
## 2788 Bachelorâ\200\231s 1000-9,999
## 2789 Bachelorâ\200\231s <NA>
## 2790 Doctoral > 10,000
## 2791 Masterâ\200\231s 0-49
## 2792 Masterâ\200\231s 1000-9,999
## 2793 Masterâ\200\231s 0-49
## 2794 Bachelorâ\200\231s <NA>
## 2795 Professional <NA>
## 2796 Masterâ\200\231s 250-999
## 2797 Masterâ\200\231s 0-49
## 2798 Doctoral > 10,000
## 2799 Professional 250-999
## 2800 Bachelorâ\200\231s 0-49
## 2801 Doctoral 0-49
## 2802 Masterâ\200\231s 50-249
## 2803 Doctoral > 10,000
## 2804 Masterâ\200\231s 0-49
## 2805 Doctoral 0-49
## 2806 Bachelorâ\200\231s > 10,000
## 2807 Bachelorâ\200\231s 0-49
## 2808 Bachelorâ\200\231s <NA>
## 2809 Bachelorâ\200\231s > 10,000
## 2810 Bachelorâ\200\231s <NA>
## 2811 Bachelorâ\200\231s > 10,000
## 2812 Bachelorâ\200\231s 0-49
## 2813 Masterâ\200\231s 50-249
## 2814 Doctoral 250-999
## 2815 Masterâ\200\231s <NA>
## 2816 No formal education past high school 50-249
## 2817 Masterâ\200\231s 1000-9,999
## 2818 Professional 250-999
## 2819 No formal education past high school 0-49
## 2820 Masterâ\200\231s 0-49
## 2821 Masterâ\200\231s 1000-9,999
## 2822 Bachelorâ\200\231s <NA>
## 2823 I prefer not to answer <NA>
## 2824 Bachelorâ\200\231s 0-49
## 2825 Doctoral 250-999
## 2826 Masterâ\200\231s 0-49
## 2827 Bachelorâ\200\231s <NA>
## 2828 Masterâ\200\231s <NA>
## 2829 Professional > 10,000
## 2830 Bachelorâ\200\231s 50-249
## 2831 Bachelorâ\200\231s <NA>
## 2832 Bachelorâ\200\231s 250-999
## 2833 Masterâ\200\231s 1000-9,999
## 2834 Bachelorâ\200\231s > 10,000
## 2835 Professional <NA>
## 2836 Bachelorâ\200\231s 0-49
## 2837 Bachelorâ\200\231s > 10,000
## 2838 Bachelorâ\200\231s <NA>
## 2839 Masterâ\200\231s 0-49
## 2840 Bachelorâ\200\231s <NA>
## 2841 Doctoral 50-249
## 2842 Masterâ\200\231s 250-999
## 2843 Bachelorâ\200\231s 0-49
## 2844 Masterâ\200\231s 1000-9,999
## 2845 Bachelorâ\200\231s <NA>
## 2846 Doctoral 250-999
## 2847 Masterâ\200\231s > 10,000
## 2848 Bachelorâ\200\231s <NA>
## 2849 Doctoral 50-249
## 2850 Masterâ\200\231s 1000-9,999
## 2851 Bachelorâ\200\231s 0-49
## 2852 Bachelorâ\200\231s <NA>
## 2853 Professional 1000-9,999
## 2854 Masterâ\200\231s 0-49
## 2855 Professional <NA>
## 2856 Masterâ\200\231s 1000-9,999
## 2857 Masterâ\200\231s 0-49
## 2858 Bachelorâ\200\231s 0-49
## 2859 Bachelorâ\200\231s <NA>
## 2860 Bachelorâ\200\231s <NA>
## 2861 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 2862 Bachelorâ\200\231s 1000-9,999
## 2863 Masterâ\200\231s 250-999
## 2864 Bachelorâ\200\231s 1000-9,999
## 2865 Bachelorâ\200\231s 1000-9,999
## 2866 Masterâ\200\231s <NA>
## 2867 Masterâ\200\231s 0-49
## 2868 Masterâ\200\231s > 10,000
## 2869 Masterâ\200\231s 250-999
## 2870 Bachelorâ\200\231s <NA>
## 2871 I prefer not to answer 0-49
## 2872 Doctoral > 10,000
## 2873 Masterâ\200\231s <NA>
## 2874 Bachelorâ\200\231s <NA>
## 2875 Bachelorâ\200\231s 250-999
## 2876 Masterâ\200\231s 0-49
## 2877 Bachelorâ\200\231s 250-999
## 2878 Masterâ\200\231s 1000-9,999
## 2879 Professional > 10,000
## 2880 Bachelorâ\200\231s 0-49
## 2881 Masterâ\200\231s 0-49
## 2882 Masterâ\200\231s > 10,000
## 2883 I prefer not to answer <NA>
## 2884 Bachelorâ\200\231s <NA>
## 2885 Masterâ\200\231s > 10,000
## 2886 Bachelorâ\200\231s 1000-9,999
## 2887 Bachelorâ\200\231s 0-49
## 2888 Masterâ\200\231s 1000-9,999
## 2889 Doctoral 1000-9,999
## 2890 Masterâ\200\231s > 10,000
## 2891 Bachelorâ\200\231s 50-249
## 2892 Masterâ\200\231s 250-999
## 2893 Bachelorâ\200\231s 50-249
## 2894 Bachelorâ\200\231s 250-999
## 2895 Masterâ\200\231s 0-49
## 2896 Masterâ\200\231s <NA>
## 2897 Masterâ\200\231s 250-999
## 2898 Masterâ\200\231s > 10,000
## 2899 Doctoral <NA>
## 2900 Bachelorâ\200\231s <NA>
## 2901 Masterâ\200\231s <NA>
## 2902 Masterâ\200\231s <NA>
## 2903 Masterâ\200\231s <NA>
## 2904 Professional <NA>
## 2905 Masterâ\200\231s 0-49
## 2906 Doctoral 1000-9,999
## 2907 Masterâ\200\231s > 10,000
## 2908 Masterâ\200\231s 0-49
## 2909 Bachelorâ\200\231s 0-49
## 2910 Doctoral 250-999
## 2911 Doctoral <NA>
## 2912 Masterâ\200\231s > 10,000
## 2913 Doctoral 250-999
## 2914 Masterâ\200\231s > 10,000
## 2915 Masterâ\200\231s <NA>
## 2916 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 2917 Masterâ\200\231s > 10,000
## 2918 Doctoral 0-49
## 2919 Masterâ\200\231s > 10,000
## 2920 Doctoral <NA>
## 2921 Masterâ\200\231s 1000-9,999
## 2922 Doctoral 50-249
## 2923 Professional 1000-9,999
## 2924 Doctoral 50-249
## 2925 Masterâ\200\231s > 10,000
## 2926 Bachelorâ\200\231s <NA>
## 2927 Bachelorâ\200\231s <NA>
## 2928 Bachelorâ\200\231s <NA>
## 2929 Bachelorâ\200\231s > 10,000
## 2930 Doctoral 50-249
## 2931 Bachelorâ\200\231s <NA>
## 2932 Bachelorâ\200\231s 1000-9,999
## 2933 Bachelorâ\200\231s <NA>
## 2934 Masterâ\200\231s 250-999
## 2935 Masterâ\200\231s <NA>
## 2936 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 2937 Bachelorâ\200\231s <NA>
## 2938 Professional > 10,000
## 2939 Bachelorâ\200\231s 1000-9,999
## 2940 Masterâ\200\231s 50-249
## 2941 Masterâ\200\231s 0-49
## 2942 Masterâ\200\231s > 10,000
## 2943 Bachelorâ\200\231s <NA>
## 2944 Masterâ\200\231s 250-999
## 2945 Masterâ\200\231s 1000-9,999
## 2946 Bachelorâ\200\231s <NA>
## 2947 Bachelorâ\200\231s <NA>
## 2948 Masterâ\200\231s > 10,000
## 2949 Bachelorâ\200\231s <NA>
## 2950 Masterâ\200\231s <NA>
## 2951 Bachelorâ\200\231s <NA>
## 2952 Masterâ\200\231s 1000-9,999
## 2953 Masterâ\200\231s <NA>
## 2954 Masterâ\200\231s <NA>
## 2955 Bachelorâ\200\231s 50-249
## 2956 Professional 0-49
## 2957 Professional 0-49
## 2958 Doctoral 250-999
## 2959 Masterâ\200\231s 50-249
## 2960 Masterâ\200\231s 0-49
## 2961 Doctoral 0-49
## 2962 Doctoral 0-49
## 2963 Masterâ\200\231s 50-249
## 2964 Bachelorâ\200\231s 1000-9,999
## 2965 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 2966 Bachelorâ\200\231s 0-49
## 2967 Bachelorâ\200\231s <NA>
## 2968 Masterâ\200\231s 1000-9,999
## 2969 Bachelorâ\200\231s <NA>
## 2970 Bachelorâ\200\231s 1000-9,999
## 2971 Masterâ\200\231s <NA>
## 2972 Bachelorâ\200\231s <NA>
## 2973 Bachelorâ\200\231s <NA>
## 2974 Bachelorâ\200\231s 0-49
## 2975 Masterâ\200\231s <NA>
## 2976 Doctoral 250-999
## 2977 Bachelorâ\200\231s 0-49
## 2978 Doctoral 1000-9,999
## 2979 Masterâ\200\231s > 10,000
## 2980 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 2981 Masterâ\200\231s 50-249
## 2982 Masterâ\200\231s 1000-9,999
## 2983 No formal education past high school 250-999
## 2984 Masterâ\200\231s 1000-9,999
## 2985 Bachelorâ\200\231s 50-249
## 2986 Bachelorâ\200\231s > 10,000
## 2987 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 2988 Masterâ\200\231s <NA>
## 2989 Masterâ\200\231s <NA>
## 2990 Professional 0-49
## 2991 Bachelorâ\200\231s 1000-9,999
## 2992 Bachelorâ\200\231s <NA>
## 2993 Bachelorâ\200\231s <NA>
## 2994 Bachelorâ\200\231s 0-49
## 2995 Masterâ\200\231s <NA>
## 2996 Bachelorâ\200\231s <NA>
## 2997 Doctoral 50-249
## 2998 Doctoral 50-249
## 2999 Bachelorâ\200\231s 1000-9,999
## 3000 Masterâ\200\231s 0-49
## 3001 No formal education past high school 0-49
## 3002 Masterâ\200\231s 1000-9,999
## 3003 Masterâ\200\231s > 10,000
## 3004 Doctoral 0-49
## 3005 Bachelorâ\200\231s <NA>
## 3006 Masterâ\200\231s 50-249
## 3007 Masterâ\200\231s > 10,000
## 3008 Bachelorâ\200\231s 1000-9,999
## 3009 Doctoral 250-999
## 3010 Bachelorâ\200\231s > 10,000
## 3011 No formal education past high school > 10,000
## 3012 Masterâ\200\231s <NA>
## 3013 Masterâ\200\231s 250-999
## 3014 Masterâ\200\231s 0-49
## 3015 Masterâ\200\231s 1000-9,999
## 3016 Masterâ\200\231s <NA>
## 3017 Masterâ\200\231s 1000-9,999
## 3018 Bachelorâ\200\231s <NA>
## 3019 Masterâ\200\231s 0-49
## 3020 Bachelorâ\200\231s <NA>
## 3021 Bachelorâ\200\231s <NA>
## 3022 Bachelorâ\200\231s <NA>
## 3023 Doctoral > 10,000
## 3024 Bachelorâ\200\231s 250-999
## 3025 Doctoral 0-49
## 3026 Masterâ\200\231s 1000-9,999
## 3027 Bachelorâ\200\231s 50-249
## 3028 Masterâ\200\231s 250-999
## 3029 Doctoral 0-49
## 3030 Bachelorâ\200\231s 50-249
## 3031 Masterâ\200\231s 250-999
## 3032 Bachelorâ\200\231s 0-49
## 3033 Masterâ\200\231s 50-249
## 3034 Bachelorâ\200\231s 0-49
## 3035 Masterâ\200\231s 0-49
## 3036 Professional 50-249
## 3037 Bachelorâ\200\231s <NA>
## 3038 Bachelorâ\200\231s <NA>
## 3039 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 3040 Bachelorâ\200\231s <NA>
## 3041 Bachelorâ\200\231s > 10,000
## 3042 Masterâ\200\231s > 10,000
## 3043 Bachelorâ\200\231s 250-999
## 3044 Masterâ\200\231s 1000-9,999
## 3045 Bachelorâ\200\231s 1000-9,999
## 3046 Masterâ\200\231s > 10,000
## 3047 Masterâ\200\231s 50-249
## 3048 Bachelorâ\200\231s > 10,000
## 3049 Professional 250-999
## 3050 Masterâ\200\231s > 10,000
## 3051 Masterâ\200\231s > 10,000
## 3052 Doctoral 50-249
## 3053 Professional 0-49
## 3054 Bachelorâ\200\231s <NA>
## 3055 Masterâ\200\231s <NA>
## 3056 Masterâ\200\231s <NA>
## 3057 Bachelorâ\200\231s <NA>
## 3058 Masterâ\200\231s 0-49
## 3059 Bachelorâ\200\231s 1000-9,999
## 3060 Bachelorâ\200\231s <NA>
## 3061 Masterâ\200\231s <NA>
## 3062 Doctoral <NA>
## 3063 Masterâ\200\231s 0-49
## 3064 Masterâ\200\231s <NA>
## 3065 Bachelorâ\200\231s > 10,000
## 3066 Masterâ\200\231s > 10,000
## 3067 Masterâ\200\231s <NA>
## 3068 Bachelorâ\200\231s <NA>
## 3069 Masterâ\200\231s 250-999
## 3070 Bachelorâ\200\231s > 10,000
## 3071 Masterâ\200\231s > 10,000
## 3072 Masterâ\200\231s <NA>
## 3073 Masterâ\200\231s 50-249
## 3074 Masterâ\200\231s 250-999
## 3075 Bachelorâ\200\231s > 10,000
## 3076 Bachelorâ\200\231s 0-49
## 3077 Masterâ\200\231s <NA>
## 3078 Bachelorâ\200\231s 0-49
## 3079 Bachelorâ\200\231s <NA>
## 3080 Masterâ\200\231s 1000-9,999
## 3081 Doctoral 0-49
## 3082 Masterâ\200\231s 1000-9,999
## 3083 Doctoral <NA>
## 3084 Bachelorâ\200\231s <NA>
## 3085 Doctoral > 10,000
## 3086 Bachelorâ\200\231s > 10,000
## 3087 Doctoral > 10,000
## 3088 Bachelorâ\200\231s <NA>
## 3089 Professional > 10,000
## 3090 Bachelorâ\200\231s > 10,000
## 3091 Masterâ\200\231s 50-249
## 3092 Bachelorâ\200\231s 250-999
## 3093 Masterâ\200\231s 0-49
## 3094 I prefer not to answer 250-999
## 3095 Bachelorâ\200\231s <NA>
## 3096 Masterâ\200\231s <NA>
## 3097 Masterâ\200\231s > 10,000
## 3098 Bachelorâ\200\231s > 10,000
## 3099 Bachelorâ\200\231s <NA>
## 3100 Bachelorâ\200\231s <NA>
## 3101 Masterâ\200\231s 1000-9,999
## 3102 Masterâ\200\231s 1000-9,999
## 3103 Masterâ\200\231s > 10,000
## 3104 Masterâ\200\231s <NA>
## 3105 Masterâ\200\231s <NA>
## 3106 Masterâ\200\231s 0-49
## 3107 Bachelorâ\200\231s 1000-9,999
## 3108 Bachelorâ\200\231s > 10,000
## 3109 Masterâ\200\231s 250-999
## 3110 Masterâ\200\231s <NA>
## 3111 Masterâ\200\231s <NA>
## 3112 Masterâ\200\231s > 10,000
## 3113 I prefer not to answer 250-999
## 3114 Masterâ\200\231s > 10,000
## 3115 Bachelorâ\200\231s <NA>
## 3116 Bachelorâ\200\231s <NA>
## 3117 Professional <NA>
## 3118 Masterâ\200\231s <NA>
## 3119 Masterâ\200\231s 250-999
## 3120 Bachelorâ\200\231s > 10,000
## 3121 Masterâ\200\231s 1000-9,999
## 3122 Masterâ\200\231s 1000-9,999
## 3123 Bachelorâ\200\231s > 10,000
## 3124 Masterâ\200\231s 0-49
## 3125 Masterâ\200\231s 1000-9,999
## 3126 Masterâ\200\231s 1000-9,999
## 3127 Bachelorâ\200\231s 0-49
## 3128 Masterâ\200\231s > 10,000
## 3129 Bachelorâ\200\231s 0-49
## 3130 Masterâ\200\231s 250-999
## 3131 Masterâ\200\231s 0-49
## 3132 Masterâ\200\231s 250-999
## 3133 Bachelorâ\200\231s 0-49
## 3134 Bachelorâ\200\231s 1000-9,999
## 3135 Masterâ\200\231s <NA>
## 3136 Masterâ\200\231s 50-249
## 3137 Professional 1000-9,999
## 3138 Bachelorâ\200\231s 50-249
## 3139 Professional 1000-9,999
## 3140 Doctoral <NA>
## 3141 Masterâ\200\231s <NA>
## 3142 Masterâ\200\231s 1000-9,999
## 3143 Masterâ\200\231s 0-49
## 3144 Masterâ\200\231s 0-49
## 3145 Bachelorâ\200\231s > 10,000
## 3146 Doctoral 0-49
## 3147 Masterâ\200\231s 0-49
## 3148 Bachelorâ\200\231s > 10,000
## 3149 Professional 1000-9,999
## 3150 Masterâ\200\231s 50-249
## 3151 Masterâ\200\231s > 10,000
## 3152 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 3153 Doctoral 250-999
## 3154 Bachelorâ\200\231s <NA>
## 3155 Masterâ\200\231s 1000-9,999
## 3156 Masterâ\200\231s 1000-9,999
## 3157 Masterâ\200\231s 0-49
## 3158 Masterâ\200\231s 250-999
## 3159 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 3160 Doctoral 50-249
## 3161 Bachelorâ\200\231s <NA>
## 3162 Masterâ\200\231s 0-49
## 3163 Bachelorâ\200\231s <NA>
## 3164 Masterâ\200\231s > 10,000
## 3165 Masterâ\200\231s 50-249
## 3166 Bachelorâ\200\231s 50-249
## 3167 Masterâ\200\231s 250-999
## 3168 Masterâ\200\231s 50-249
## 3169 Bachelorâ\200\231s 1000-9,999
## 3170 No formal education past high school 50-249
## 3171 Masterâ\200\231s 50-249
## 3172 Doctoral <NA>
## 3173 Masterâ\200\231s <NA>
## 3174 Bachelorâ\200\231s 0-49
## 3175 Masterâ\200\231s 0-49
## 3176 Bachelorâ\200\231s <NA>
## 3177 Masterâ\200\231s 1000-9,999
## 3178 Masterâ\200\231s 0-49
## 3179 Masterâ\200\231s > 10,000
## 3180 Masterâ\200\231s > 10,000
## 3181 Bachelorâ\200\231s 50-249
## 3182 Masterâ\200\231s > 10,000
## 3183 Masterâ\200\231s <NA>
## 3184 Bachelorâ\200\231s > 10,000
## 3185 Doctoral 250-999
## 3186 Bachelorâ\200\231s > 10,000
## 3187 Masterâ\200\231s 1000-9,999
## 3188 Masterâ\200\231s 50-249
## 3189 Masterâ\200\231s > 10,000
## 3190 Bachelorâ\200\231s 50-249
## 3191 Bachelorâ\200\231s 50-249
## 3192 Doctoral 250-999
## 3193 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 3194 Bachelorâ\200\231s 0-49
## 3195 Masterâ\200\231s > 10,000
## 3196 Bachelorâ\200\231s <NA>
## 3197 Masterâ\200\231s 0-49
## 3198 Bachelorâ\200\231s > 10,000
## 3199 Doctoral <NA>
## 3200 Masterâ\200\231s 1000-9,999
## 3201 Masterâ\200\231s > 10,000
## 3202 Doctoral 0-49
## 3203 Masterâ\200\231s 0-49
## 3204 Doctoral 0-49
## 3205 Masterâ\200\231s 50-249
## 3206 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 3207 Masterâ\200\231s <NA>
## 3208 Masterâ\200\231s <NA>
## 3209 Bachelorâ\200\231s <NA>
## 3210 Doctoral 250-999
## 3211 Doctoral 0-49
## 3212 Bachelorâ\200\231s <NA>
## 3213 Doctoral <NA>
## 3214 I prefer not to answer 1000-9,999
## 3215 Bachelorâ\200\231s 1000-9,999
## 3216 Doctoral 0-49
## 3217 Bachelorâ\200\231s 50-249
## 3218 Masterâ\200\231s 50-249
## 3219 Bachelorâ\200\231s 1000-9,999
## 3220 Doctoral 0-49
## 3221 Masterâ\200\231s 50-249
## 3222 Bachelorâ\200\231s 0-49
## 3223 Doctoral 0-49
## 3224 Doctoral 50-249
## 3225 Bachelorâ\200\231s 0-49
## 3226 Doctoral 50-249
## 3227 Masterâ\200\231s 250-999
## 3228 Masterâ\200\231s <NA>
## 3229 Bachelorâ\200\231s <NA>
## 3230 Bachelorâ\200\231s <NA>
## 3231 Bachelorâ\200\231s <NA>
## 3232 Bachelorâ\200\231s <NA>
## 3233 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 3234 Masterâ\200\231s <NA>
## 3235 Bachelorâ\200\231s 50-249
## 3236 Masterâ\200\231s <NA>
## 3237 Bachelorâ\200\231s 0-49
## 3238 Doctoral 1000-9,999
## 3239 Bachelorâ\200\231s <NA>
## 3240 Bachelorâ\200\231s 1000-9,999
## 3241 Professional <NA>
## 3242 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 3243 Masterâ\200\231s 0-49
## 3244 Masterâ\200\231s 0-49
## 3245 Masterâ\200\231s 50-249
## 3246 Masterâ\200\231s > 10,000
## 3247 Bachelorâ\200\231s 250-999
## 3248 Masterâ\200\231s 50-249
## 3249 Masterâ\200\231s 1000-9,999
## 3250 Masterâ\200\231s 250-999
## 3251 Masterâ\200\231s 0-49
## 3252 Masterâ\200\231s 0-49
## 3253 Masterâ\200\231s <NA>
## 3254 Bachelorâ\200\231s 0-49
## 3255 Bachelorâ\200\231s 50-249
## 3256 Masterâ\200\231s 0-49
## 3257 Bachelorâ\200\231s 50-249
## 3258 Bachelorâ\200\231s 0-49
## 3259 Bachelorâ\200\231s <NA>
## 3260 Bachelorâ\200\231s 250-999
## 3261 Bachelorâ\200\231s 50-249
## 3262 Bachelorâ\200\231s > 10,000
## 3263 Masterâ\200\231s 0-49
## 3264 Masterâ\200\231s <NA>
## 3265 Bachelorâ\200\231s <NA>
## 3266 Bachelorâ\200\231s 0-49
## 3267 Masterâ\200\231s 50-249
## 3268 Masterâ\200\231s > 10,000
## 3269 Masterâ\200\231s 0-49
## 3270 Masterâ\200\231s > 10,000
## 3271 I prefer not to answer 50-249
## 3272 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 3273 Bachelorâ\200\231s 50-249
## 3274 Masterâ\200\231s 50-249
## 3275 Bachelorâ\200\231s > 10,000
## 3276 Masterâ\200\231s > 10,000
## 3277 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 3278 Doctoral 250-999
## 3279 Bachelorâ\200\231s 250-999
## 3280 Masterâ\200\231s 0-49
## 3281 Masterâ\200\231s <NA>
## 3282 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 3283 Masterâ\200\231s <NA>
## 3284 Masterâ\200\231s 1000-9,999
## 3285 Bachelorâ\200\231s <NA>
## 3286 Masterâ\200\231s 250-999
## 3287 Bachelorâ\200\231s > 10,000
## 3288 Masterâ\200\231s 50-249
## 3289 No formal education past high school 250-999
## 3290 Doctoral <NA>
## 3291 Bachelorâ\200\231s <NA>
## 3292 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 3293 Doctoral 50-249
## 3294 Masterâ\200\231s 50-249
## 3295 Masterâ\200\231s 1000-9,999
## 3296 Masterâ\200\231s 250-999
## 3297 Bachelorâ\200\231s <NA>
## 3298 Masterâ\200\231s 0-49
## 3299 Bachelorâ\200\231s 1000-9,999
## 3300 Professional 50-249
## 3301 Bachelorâ\200\231s 50-249
## 3302 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 3303 Masterâ\200\231s 0-49
## 3304 Doctoral 0-49
## 3305 Masterâ\200\231s <NA>
## 3306 Bachelorâ\200\231s <NA>
## 3307 Bachelorâ\200\231s 0-49
## 3308 Masterâ\200\231s > 10,000
## 3309 Masterâ\200\231s 250-999
## 3310 Masterâ\200\231s 1000-9,999
## 3311 Bachelorâ\200\231s 1000-9,999
## 3312 Doctoral 50-249
## 3313 Bachelorâ\200\231s 0-49
## 3314 Doctoral 250-999
## 3315 Masterâ\200\231s 50-249
## 3316 Masterâ\200\231s 250-999
## 3317 Bachelorâ\200\231s <NA>
## 3318 Doctoral 250-999
## 3319 Doctoral 0-49
## 3320 Masterâ\200\231s > 10,000
## 3321 Masterâ\200\231s > 10,000
## 3322 Bachelorâ\200\231s <NA>
## 3323 Bachelorâ\200\231s 250-999
## 3324 Doctoral <NA>
## 3325 Doctoral <NA>
## 3326 Masterâ\200\231s 0-49
## 3327 Bachelorâ\200\231s 0-49
## 3328 Masterâ\200\231s 250-999
## 3329 Masterâ\200\231s 50-249
## 3330 Masterâ\200\231s 50-249
## 3331 Bachelorâ\200\231s <NA>
## 3332 Doctoral <NA>
## 3333 Masterâ\200\231s > 10,000
## 3334 No formal education past high school <NA>
## 3335 Bachelorâ\200\231s <NA>
## 3336 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 3337 Masterâ\200\231s <NA>
## 3338 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 3339 Doctoral 0-49
## 3340 Masterâ\200\231s > 10,000
## 3341 Masterâ\200\231s 1000-9,999
## 3342 Doctoral <NA>
## 3343 Masterâ\200\231s 0-49
## 3344 Bachelorâ\200\231s > 10,000
## 3345 Masterâ\200\231s <NA>
## 3346 Professional 0-49
## 3347 Masterâ\200\231s <NA>
## 3348 Masterâ\200\231s 250-999
## 3349 Masterâ\200\231s 0-49
## 3350 Bachelorâ\200\231s <NA>
## 3351 Doctoral 1000-9,999
## 3352 Bachelorâ\200\231s <NA>
## 3353 Doctoral 250-999
## 3354 Masterâ\200\231s 0-49
## 3355 Professional 50-249
## 3356 Bachelorâ\200\231s 0-49
## 3357 Bachelorâ\200\231s 0-49
## 3358 Doctoral 1000-9,999
## 3359 Bachelorâ\200\231s 0-49
## 3360 Masterâ\200\231s 0-49
## 3361 Doctoral 1000-9,999
## 3362 Bachelorâ\200\231s <NA>
## 3363 Bachelorâ\200\231s 0-49
## 3364 Masterâ\200\231s 50-249
## 3365 Masterâ\200\231s <NA>
## 3366 Doctoral 1000-9,999
## 3367 Doctoral 0-49
## 3368 Bachelorâ\200\231s 0-49
## 3369 Bachelorâ\200\231s <NA>
## 3370 Bachelorâ\200\231s 0-49
## 3371 Masterâ\200\231s 50-249
## 3372 Bachelorâ\200\231s > 10,000
## 3373 Bachelorâ\200\231s 0-49
## 3374 Bachelorâ\200\231s > 10,000
## 3375 Bachelorâ\200\231s > 10,000
## 3376 Doctoral 50-249
## 3377 Bachelorâ\200\231s 0-49
## 3378 Masterâ\200\231s 0-49
## 3379 Masterâ\200\231s 1000-9,999
## 3380 Bachelorâ\200\231s <NA>
## 3381 Masterâ\200\231s 50-249
## 3382 Doctoral 0-49
## 3383 Masterâ\200\231s 50-249
## 3384 Bachelorâ\200\231s <NA>
## 3385 Masterâ\200\231s > 10,000
## 3386 Doctoral 250-999
## 3387 Masterâ\200\231s 0-49
## 3388 Doctoral 0-49
## 3389 Bachelorâ\200\231s 0-49
## 3390 Masterâ\200\231s <NA>
## 3391 Professional <NA>
## 3392 Professional > 10,000
## 3393 Professional 250-999
## 3394 Doctoral 50-249
## 3395 Bachelorâ\200\231s <NA>
## 3396 Masterâ\200\231s 50-249
## 3397 Masterâ\200\231s 0-49
## 3398 Masterâ\200\231s <NA>
## 3399 I prefer not to answer 0-49
## 3400 Doctoral 0-49
## 3401 Masterâ\200\231s <NA>
## 3402 Masterâ\200\231s > 10,000
## 3403 Masterâ\200\231s > 10,000
## 3404 Doctoral 50-249
## 3405 Bachelorâ\200\231s 0-49
## 3406 Masterâ\200\231s 1000-9,999
## 3407 Masterâ\200\231s 0-49
## 3408 Masterâ\200\231s 1000-9,999
## 3409 Masterâ\200\231s 1000-9,999
## 3410 Doctoral 50-249
## 3411 Masterâ\200\231s > 10,000
## 3412 Masterâ\200\231s > 10,000
## 3413 Doctoral <NA>
## 3414 Bachelorâ\200\231s <NA>
## 3415 Doctoral <NA>
## 3416 Masterâ\200\231s 1000-9,999
## 3417 Bachelorâ\200\231s 0-49
## 3418 Masterâ\200\231s 0-49
## 3419 Doctoral 0-49
## 3420 Masterâ\200\231s <NA>
## 3421 Masterâ\200\231s > 10,000
## 3422 Professional 1000-9,999
## 3423 Bachelorâ\200\231s <NA>
## 3424 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 3425 Bachelorâ\200\231s 1000-9,999
## 3426 Masterâ\200\231s > 10,000
## 3427 Doctoral 0-49
## 3428 Masterâ\200\231s 1000-9,999
## 3429 Masterâ\200\231s 1000-9,999
## 3430 Masterâ\200\231s 50-249
## 3431 Masterâ\200\231s > 10,000
## 3432 Masterâ\200\231s 0-49
## 3433 Masterâ\200\231s 250-999
## 3434 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 3435 Masterâ\200\231s 1000-9,999
## 3436 Masterâ\200\231s <NA>
## 3437 Masterâ\200\231s 0-49
## 3438 Masterâ\200\231s 0-49
## 3439 Masterâ\200\231s 50-249
## 3440 Masterâ\200\231s 1000-9,999
## 3441 Masterâ\200\231s 0-49
## 3442 Doctoral 0-49
## 3443 Bachelorâ\200\231s 1000-9,999
## 3444 Masterâ\200\231s <NA>
## 3445 Bachelorâ\200\231s > 10,000
## 3446 Masterâ\200\231s 250-999
## 3447 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 3448 Doctoral 50-249
## 3449 Masterâ\200\231s <NA>
## 3450 Masterâ\200\231s <NA>
## 3451 Bachelorâ\200\231s 0-49
## 3452 Bachelorâ\200\231s > 10,000
## 3453 Masterâ\200\231s <NA>
## 3454 Masterâ\200\231s > 10,000
## 3455 Masterâ\200\231s <NA>
## 3456 Bachelorâ\200\231s 50-249
## 3457 Professional > 10,000
## 3458 Doctoral 0-49
## 3459 Bachelorâ\200\231s 0-49
## 3460 Bachelorâ\200\231s > 10,000
## 3461 Masterâ\200\231s 1000-9,999
## 3462 Bachelorâ\200\231s <NA>
## 3463 Doctoral 50-249
## 3464 Professional 0-49
## 3465 Bachelorâ\200\231s 0-49
## 3466 Doctoral > 10,000
## 3467 Masterâ\200\231s 0-49
## 3468 Masterâ\200\231s 250-999
## 3469 Masterâ\200\231s 1000-9,999
## 3470 Bachelorâ\200\231s <NA>
## 3471 Masterâ\200\231s > 10,000
## 3472 Masterâ\200\231s <NA>
## 3473 Masterâ\200\231s 1000-9,999
## 3474 Doctoral 50-249
## 3475 Doctoral 1000-9,999
## 3476 Masterâ\200\231s 50-249
## 3477 Masterâ\200\231s 50-249
## 3478 Bachelorâ\200\231s <NA>
## 3479 Masterâ\200\231s 0-49
## 3480 Doctoral 1000-9,999
## 3481 Masterâ\200\231s 0-49
## 3482 Bachelorâ\200\231s <NA>
## 3483 Bachelorâ\200\231s <NA>
## 3484 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 3485 Doctoral <NA>
## 3486 Doctoral 250-999
## 3487 Masterâ\200\231s 50-249
## 3488 Bachelorâ\200\231s 0-49
## 3489 Masterâ\200\231s 1000-9,999
## 3490 Masterâ\200\231s 1000-9,999
## 3491 Doctoral > 10,000
## 3492 Masterâ\200\231s 0-49
## 3493 Bachelorâ\200\231s > 10,000
## 3494 Doctoral 0-49
## 3495 Masterâ\200\231s 50-249
## 3496 Bachelorâ\200\231s <NA>
## 3497 Bachelorâ\200\231s 250-999
## 3498 Bachelorâ\200\231s <NA>
## 3499 Masterâ\200\231s > 10,000
## 3500 Doctoral 1000-9,999
## 3501 Masterâ\200\231s 1000-9,999
## 3502 Masterâ\200\231s 250-999
## 3503 Professional <NA>
## 3504 Masterâ\200\231s <NA>
## 3505 Masterâ\200\231s 1000-9,999
## 3506 Bachelorâ\200\231s 0-49
## 3507 Masterâ\200\231s 0-49
## 3508 Bachelorâ\200\231s <NA>
## 3509 Doctoral 250-999
## 3510 Masterâ\200\231s 250-999
## 3511 Bachelorâ\200\231s 250-999
## 3512 Masterâ\200\231s 1000-9,999
## 3513 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 3514 Doctoral 1000-9,999
## 3515 Doctoral 50-249
## 3516 Doctoral 50-249
## 3517 Masterâ\200\231s 250-999
## 3518 Masterâ\200\231s > 10,000
## 3519 Masterâ\200\231s 250-999
## 3520 Bachelorâ\200\231s <NA>
## 3521 Doctoral 50-249
## 3522 Masterâ\200\231s > 10,000
## 3523 Bachelorâ\200\231s 0-49
## 3524 No formal education past high school 0-49
## 3525 Doctoral 50-249
## 3526 Professional 0-49
## 3527 I prefer not to answer 250-999
## 3528 Bachelorâ\200\231s 250-999
## 3529 Masterâ\200\231s 1000-9,999
## 3530 Bachelorâ\200\231s > 10,000
## 3531 Masterâ\200\231s 250-999
## 3532 Bachelorâ\200\231s <NA>
## 3533 Doctoral > 10,000
## 3534 Masterâ\200\231s > 10,000
## 3535 Masterâ\200\231s 250-999
## 3536 Doctoral 1000-9,999
## 3537 Doctoral 0-49
## 3538 Doctoral 0-49
## 3539 Bachelorâ\200\231s <NA>
## 3540 Masterâ\200\231s 0-49
## 3541 Masterâ\200\231s > 10,000
## 3542 Doctoral 0-49
## 3543 Bachelorâ\200\231s 50-249
## 3544 Masterâ\200\231s 50-249
## 3545 Doctoral 50-249
## 3546 Masterâ\200\231s 50-249
## 3547 Bachelorâ\200\231s 0-49
## 3548 Bachelorâ\200\231s 1000-9,999
## 3549 Bachelorâ\200\231s <NA>
## 3550 Masterâ\200\231s 1000-9,999
## 3551 Doctoral 0-49
## 3552 Masterâ\200\231s 1000-9,999
## 3553 Bachelorâ\200\231s 0-49
## 3554 Bachelorâ\200\231s 0-49
## 3555 Masterâ\200\231s 0-49
## 3556 Bachelorâ\200\231s 0-49
## 3557 Masterâ\200\231s <NA>
## 3558 Doctoral 50-249
## 3559 Doctoral 250-999
## 3560 Masterâ\200\231s <NA>
## 3561 Masterâ\200\231s <NA>
## 3562 Masterâ\200\231s 0-49
## 3563 Doctoral 50-249
## 3564 Masterâ\200\231s 250-999
## 3565 Masterâ\200\231s 50-249
## 3566 Masterâ\200\231s > 10,000
## 3567 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 3568 Bachelorâ\200\231s 0-49
## 3569 Doctoral <NA>
## 3570 Masterâ\200\231s <NA>
## 3571 I prefer not to answer 250-999
## 3572 Bachelorâ\200\231s 0-49
## 3573 Doctoral 50-249
## 3574 Doctoral 0-49
## 3575 Masterâ\200\231s <NA>
## 3576 Masterâ\200\231s > 10,000
## 3577 Masterâ\200\231s > 10,000
## 3578 Masterâ\200\231s > 10,000
## 3579 Bachelorâ\200\231s <NA>
## 3580 Bachelorâ\200\231s <NA>
## 3581 Bachelorâ\200\231s 0-49
## 3582 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 3583 Masterâ\200\231s 50-249
## 3584 Bachelorâ\200\231s 250-999
## 3585 Masterâ\200\231s 250-999
## 3586 Bachelorâ\200\231s <NA>
## 3587 Masterâ\200\231s 50-249
## 3588 Masterâ\200\231s 1000-9,999
## 3589 Bachelorâ\200\231s <NA>
## 3590 Masterâ\200\231s 0-49
## 3591 Bachelorâ\200\231s 0-49
## 3592 Masterâ\200\231s <NA>
## 3593 Bachelorâ\200\231s <NA>
## 3594 Masterâ\200\231s 250-999
## 3595 Bachelorâ\200\231s 0-49
## 3596 Masterâ\200\231s 0-49
## 3597 Bachelorâ\200\231s <NA>
## 3598 Masterâ\200\231s 50-249
## 3599 Bachelorâ\200\231s > 10,000
## 3600 Bachelorâ\200\231s 1000-9,999
## 3601 Masterâ\200\231s <NA>
## 3602 Masterâ\200\231s 1000-9,999
## 3603 Masterâ\200\231s 0-49
## 3604 Masterâ\200\231s 250-999
## 3605 Professional 250-999
## 3606 Masterâ\200\231s 0-49
## 3607 Masterâ\200\231s 250-999
## 3608 Masterâ\200\231s 1000-9,999
## 3609 Bachelorâ\200\231s <NA>
## 3610 Bachelorâ\200\231s 50-249
## 3611 Masterâ\200\231s 0-49
## 3612 Masterâ\200\231s <NA>
## 3613 Doctoral > 10,000
## 3614 Masterâ\200\231s 1000-9,999
## 3615 Professional 0-49
## 3616 Masterâ\200\231s 1000-9,999
## 3617 Masterâ\200\231s 0-49
## 3618 Masterâ\200\231s 0-49
## 3619 Masterâ\200\231s <NA>
## 3620 Bachelorâ\200\231s <NA>
## 3621 Masterâ\200\231s 0-49
## 3622 Masterâ\200\231s > 10,000
## 3623 Masterâ\200\231s <NA>
## 3624 Doctoral 1000-9,999
## 3625 Bachelorâ\200\231s 250-999
## 3626 Bachelorâ\200\231s 50-249
## 3627 I prefer not to answer 250-999
## 3628 Bachelorâ\200\231s <NA>
## 3629 Masterâ\200\231s <NA>
## 3630 Masterâ\200\231s <NA>
## 3631 Professional 1000-9,999
## 3632 Masterâ\200\231s 50-249
## 3633 Masterâ\200\231s 0-49
## 3634 Masterâ\200\231s 50-249
## 3635 I prefer not to answer <NA>
## 3636 Masterâ\200\231s 1000-9,999
## 3637 Doctoral <NA>
## 3638 Masterâ\200\231s > 10,000
## 3639 Masterâ\200\231s > 10,000
## 3640 Doctoral 1000-9,999
## 3641 Masterâ\200\231s > 10,000
## 3642 Doctoral 1000-9,999
## 3643 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 3644 Bachelorâ\200\231s <NA>
## 3645 Bachelorâ\200\231s 50-249
## 3646 Bachelorâ\200\231s 0-49
## 3647 Masterâ\200\231s 250-999
## 3648 Masterâ\200\231s 1000-9,999
## 3649 Masterâ\200\231s 1000-9,999
## 3650 Doctoral 0-49
## 3651 Masterâ\200\231s 0-49
## 3652 Doctoral <NA>
## 3653 Doctoral 250-999
## 3654 Masterâ\200\231s 0-49
## 3655 Bachelorâ\200\231s 50-249
## 3656 Doctoral 0-49
## 3657 Masterâ\200\231s 50-249
## 3658 Masterâ\200\231s 50-249
## 3659 Bachelorâ\200\231s <NA>
## 3660 Masterâ\200\231s 1000-9,999
## 3661 Bachelorâ\200\231s 250-999
## 3662 Bachelorâ\200\231s 250-999
## 3663 Masterâ\200\231s 0-49
## 3664 Doctoral > 10,000
## 3665 Professional <NA>
## 3666 Doctoral 250-999
## 3667 Masterâ\200\231s 250-999
## 3668 Bachelorâ\200\231s <NA>
## 3669 Doctoral <NA>
## 3670 Masterâ\200\231s 1000-9,999
## 3671 Masterâ\200\231s <NA>
## 3672 Masterâ\200\231s > 10,000
## 3673 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 3674 Bachelorâ\200\231s 50-249
## 3675 Bachelorâ\200\231s <NA>
## 3676 Masterâ\200\231s <NA>
## 3677 Doctoral 50-249
## 3678 Doctoral 50-249
## 3679 Bachelorâ\200\231s 0-49
## 3680 Masterâ\200\231s 250-999
## 3681 Bachelorâ\200\231s 250-999
## 3682 Masterâ\200\231s 0-49
## 3683 Bachelorâ\200\231s 50-249
## 3684 Masterâ\200\231s 0-49
## 3685 Masterâ\200\231s > 10,000
## 3686 Masterâ\200\231s 1000-9,999
## 3687 Masterâ\200\231s 1000-9,999
## 3688 Masterâ\200\231s <NA>
## 3689 Doctoral 1000-9,999
## 3690 Doctoral 250-999
## 3691 Doctoral 50-249
## 3692 Doctoral > 10,000
## 3693 Masterâ\200\231s 0-49
## 3694 Masterâ\200\231s <NA>
## 3695 Masterâ\200\231s <NA>
## 3696 Doctoral 50-249
## 3697 Doctoral > 10,000
## 3698 Masterâ\200\231s 1000-9,999
## 3699 Doctoral 0-49
## 3700 Doctoral 0-49
## 3701 Masterâ\200\231s 250-999
## 3702 Masterâ\200\231s 50-249
## 3703 Masterâ\200\231s 0-49
## 3704 Masterâ\200\231s 50-249
## 3705 Masterâ\200\231s 1000-9,999
## 3706 Bachelorâ\200\231s 1000-9,999
## 3707 Masterâ\200\231s 0-49
## 3708 Masterâ\200\231s 0-49
## 3709 Doctoral 50-249
## 3710 Doctoral > 10,000
## 3711 Bachelorâ\200\231s 50-249
## 3712 Bachelorâ\200\231s 0-49
## 3713 Bachelorâ\200\231s <NA>
## 3714 Bachelorâ\200\231s <NA>
## 3715 Doctoral 1000-9,999
## 3716 Doctoral 1000-9,999
## 3717 Masterâ\200\231s 1000-9,999
## 3718 Doctoral > 10,000
## 3719 Masterâ\200\231s > 10,000
## 3720 Bachelorâ\200\231s 1000-9,999
## 3721 Masterâ\200\231s 0-49
## 3722 Bachelorâ\200\231s <NA>
## 3723 Masterâ\200\231s 0-49
## 3724 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 3725 Bachelorâ\200\231s > 10,000
## 3726 Bachelorâ\200\231s <NA>
## 3727 Masterâ\200\231s <NA>
## 3728 No formal education past high school <NA>
## 3729 Masterâ\200\231s 50-249
## 3730 Bachelorâ\200\231s 0-49
## 3731 Masterâ\200\231s <NA>
## 3732 Masterâ\200\231s 1000-9,999
## 3733 Masterâ\200\231s 250-999
## 3734 Masterâ\200\231s 0-49
## 3735 Masterâ\200\231s <NA>
## 3736 Bachelorâ\200\231s 1000-9,999
## 3737 Professional 50-249
## 3738 Masterâ\200\231s 50-249
## 3739 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 3740 No formal education past high school 0-49
## 3741 Masterâ\200\231s <NA>
## 3742 Masterâ\200\231s 250-999
## 3743 Masterâ\200\231s 0-49
## 3744 Masterâ\200\231s 0-49
## 3745 Masterâ\200\231s 0-49
## 3746 Masterâ\200\231s 50-249
## 3747 Bachelorâ\200\231s 50-249
## 3748 Doctoral 0-49
## 3749 Bachelorâ\200\231s 250-999
## 3750 Bachelorâ\200\231s > 10,000
## 3751 Masterâ\200\231s 250-999
## 3752 Masterâ\200\231s 0-49
## 3753 Masterâ\200\231s 1000-9,999
## 3754 Masterâ\200\231s 0-49
## 3755 Masterâ\200\231s 0-49
## 3756 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 3757 Doctoral > 10,000
## 3758 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 3759 Bachelorâ\200\231s <NA>
## 3760 Masterâ\200\231s 250-999
## 3761 Professional 50-249
## 3762 Masterâ\200\231s 0-49
## 3763 Masterâ\200\231s 250-999
## 3764 Professional > 10,000
## 3765 Bachelorâ\200\231s <NA>
## 3766 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 3767 Bachelorâ\200\231s > 10,000
## 3768 Masterâ\200\231s 50-249
## 3769 Bachelorâ\200\231s <NA>
## 3770 Masterâ\200\231s 250-999
## 3771 Masterâ\200\231s 1000-9,999
## 3772 Doctoral 50-249
## 3773 I prefer not to answer 0-49
## 3774 Doctoral 250-999
## 3775 Masterâ\200\231s 0-49
## 3776 Masterâ\200\231s 0-49
## 3777 Masterâ\200\231s > 10,000
## 3778 Bachelorâ\200\231s 1000-9,999
## 3779 Masterâ\200\231s 1000-9,999
## 3780 Masterâ\200\231s 1000-9,999
## 3781 Doctoral 1000-9,999
## 3782 Professional 50-249
## 3783 Bachelorâ\200\231s 1000-9,999
## 3784 Doctoral 1000-9,999
## 3785 Professional <NA>
## 3786 Masterâ\200\231s 250-999
## 3787 Doctoral 1000-9,999
## 3788 Bachelorâ\200\231s 250-999
## 3789 Bachelorâ\200\231s 0-49
## 3790 No formal education past high school > 10,000
## 3791 Masterâ\200\231s 250-999
## 3792 Masterâ\200\231s 1000-9,999
## 3793 Bachelorâ\200\231s 0-49
## 3794 Doctoral > 10,000
## 3795 Masterâ\200\231s 0-49
## 3796 Doctoral <NA>
## 3797 Masterâ\200\231s 0-49
## 3798 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 3799 Bachelorâ\200\231s 0-49
## 3800 Masterâ\200\231s 0-49
## 3801 Masterâ\200\231s > 10,000
## 3802 Masterâ\200\231s > 10,000
## 3803 Masterâ\200\231s > 10,000
## 3804 Masterâ\200\231s 250-999
## 3805 Professional 0-49
## 3806 Doctoral 0-49
## 3807 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 3808 Doctoral 0-49
## 3809 Doctoral 0-49
## 3810 Bachelorâ\200\231s 0-49
## 3811 Professional 0-49
## 3812 Bachelorâ\200\231s <NA>
## 3813 Masterâ\200\231s 50-249
## 3814 Masterâ\200\231s > 10,000
## 3815 Professional 250-999
## 3816 Doctoral 0-49
## 3817 Masterâ\200\231s > 10,000
## 3818 Masterâ\200\231s <NA>
## 3819 Doctoral 0-49
## 3820 Bachelorâ\200\231s <NA>
## 3821 Masterâ\200\231s 0-49
## 3822 Masterâ\200\231s 0-49
## 3823 Doctoral 0-49
## 3824 Masterâ\200\231s 0-49
## 3825 Masterâ\200\231s 1000-9,999
## 3826 Masterâ\200\231s 0-49
## 3827 Bachelorâ\200\231s 0-49
## 3828 I prefer not to answer 50-249
## 3829 Bachelorâ\200\231s 0-49
## 3830 Masterâ\200\231s <NA>
## 3831 Masterâ\200\231s 1000-9,999
## 3832 Masterâ\200\231s 0-49
## 3833 Bachelorâ\200\231s 250-999
## 3834 Bachelorâ\200\231s <NA>
## 3835 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 3836 Doctoral <NA>
## 3837 Bachelorâ\200\231s > 10,000
## 3838 Doctoral 1000-9,999
## 3839 Masterâ\200\231s 250-999
## 3840 Bachelorâ\200\231s 250-999
## 3841 Masterâ\200\231s 1000-9,999
## 3842 Masterâ\200\231s 50-249
## 3843 No formal education past high school <NA>
## 3844 Masterâ\200\231s 0-49
## 3845 Masterâ\200\231s 50-249
## 3846 I prefer not to answer <NA>
## 3847 Doctoral 0-49
## 3848 Masterâ\200\231s 50-249
## 3849 Masterâ\200\231s 0-49
## 3850 Masterâ\200\231s <NA>
## 3851 Doctoral 250-999
## 3852 Bachelorâ\200\231s 50-249
## 3853 Masterâ\200\231s 0-49
## 3854 Doctoral 1000-9,999
## 3855 Bachelorâ\200\231s <NA>
## 3856 Bachelorâ\200\231s 50-249
## 3857 Doctoral 1000-9,999
## 3858 Masterâ\200\231s 1000-9,999
## 3859 Masterâ\200\231s > 10,000
## 3860 Masterâ\200\231s 250-999
## 3861 Masterâ\200\231s 0-49
## 3862 Masterâ\200\231s 0-49
## 3863 I prefer not to answer <NA>
## 3864 Masterâ\200\231s 0-49
## 3865 Masterâ\200\231s > 10,000
## 3866 Masterâ\200\231s 250-999
## 3867 Doctoral 250-999
## 3868 Masterâ\200\231s > 10,000
## 3869 Masterâ\200\231s <NA>
## 3870 Doctoral 0-49
## 3871 Bachelorâ\200\231s <NA>
## 3872 Bachelorâ\200\231s <NA>
## 3873 Bachelorâ\200\231s 1000-9,999
## 3874 Masterâ\200\231s 0-49
## 3875 Masterâ\200\231s 50-249
## 3876 Masterâ\200\231s 50-249
## 3877 Bachelorâ\200\231s <NA>
## 3878 Doctoral 250-999
## 3879 Bachelorâ\200\231s <NA>
## 3880 Masterâ\200\231s <NA>
## 3881 Masterâ\200\231s 0-49
## 3882 Bachelorâ\200\231s 250-999
## 3883 Masterâ\200\231s <NA>
## 3884 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 3885 Masterâ\200\231s 50-249
## 3886 Doctoral 0-49
## 3887 Bachelorâ\200\231s <NA>
## 3888 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 3889 Masterâ\200\231s 1000-9,999
## 3890 Masterâ\200\231s <NA>
## 3891 Doctoral > 10,000
## 3892 Masterâ\200\231s 50-249
## 3893 Bachelorâ\200\231s 0-49
## 3894 Masterâ\200\231s 0-49
## 3895 Masterâ\200\231s <NA>
## 3896 Professional 50-249
## 3897 Doctoral 0-49
## 3898 Bachelorâ\200\231s <NA>
## 3899 Masterâ\200\231s 0-49
## 3900 Masterâ\200\231s 50-249
## 3901 Masterâ\200\231s 0-49
## 3902 Masterâ\200\231s <NA>
## 3903 Masterâ\200\231s <NA>
## 3904 Masterâ\200\231s 0-49
## 3905 Masterâ\200\231s 250-999
## 3906 Masterâ\200\231s <NA>
## 3907 Masterâ\200\231s > 10,000
## 3908 Masterâ\200\231s 1000-9,999
## 3909 Masterâ\200\231s 50-249
## 3910 Bachelorâ\200\231s 0-49
## 3911 Bachelorâ\200\231s 0-49
## 3912 Bachelorâ\200\231s 1000-9,999
## 3913 Masterâ\200\231s 250-999
## 3914 Doctoral 0-49
## 3915 Bachelorâ\200\231s 250-999
## 3916 Doctoral > 10,000
## 3917 Masterâ\200\231s 0-49
## 3918 No formal education past high school 0-49
## 3919 Bachelorâ\200\231s 50-249
## 3920 Masterâ\200\231s 50-249
## 3921 Professional 0-49
## 3922 Doctoral 0-49
## 3923 Bachelorâ\200\231s 50-249
## 3924 Masterâ\200\231s > 10,000
## 3925 Masterâ\200\231s 1000-9,999
## 3926 Masterâ\200\231s 250-999
## 3927 Masterâ\200\231s 0-49
## 3928 Doctoral 50-249
## 3929 Masterâ\200\231s 250-999
## 3930 Masterâ\200\231s 1000-9,999
## 3931 Masterâ\200\231s 1000-9,999
## 3932 Masterâ\200\231s 1000-9,999
## 3933 Bachelorâ\200\231s > 10,000
## 3934 Masterâ\200\231s 1000-9,999
## 3935 Bachelorâ\200\231s 0-49
## 3936 Masterâ\200\231s 250-999
## 3937 Bachelorâ\200\231s <NA>
## 3938 Bachelorâ\200\231s 1000-9,999
## 3939 Masterâ\200\231s 50-249
## 3940 I prefer not to answer 1000-9,999
## 3941 Bachelorâ\200\231s 0-49
## 3942 Masterâ\200\231s 0-49
## 3943 Masterâ\200\231s <NA>
## 3944 Professional 50-249
## 3945 Masterâ\200\231s 250-999
## 3946 Masterâ\200\231s 50-249
## 3947 Masterâ\200\231s 250-999
## 3948 Masterâ\200\231s > 10,000
## 3949 Masterâ\200\231s 1000-9,999
## 3950 Bachelorâ\200\231s <NA>
## 3951 Masterâ\200\231s <NA>
## 3952 Masterâ\200\231s 250-999
## 3953 Masterâ\200\231s 1000-9,999
## 3954 Doctoral 0-49
## 3955 Doctoral <NA>
## 3956 Masterâ\200\231s 0-49
## 3957 Bachelorâ\200\231s 0-49
## 3958 I prefer not to answer <NA>
## 3959 Bachelorâ\200\231s 50-249
## 3960 Bachelorâ\200\231s 50-249
## 3961 Masterâ\200\231s 0-49
## 3962 Masterâ\200\231s 250-999
## 3963 Masterâ\200\231s 250-999
## 3964 Masterâ\200\231s <NA>
## 3965 Masterâ\200\231s 0-49
## 3966 Masterâ\200\231s 50-249
## 3967 Masterâ\200\231s 250-999
## 3968 Masterâ\200\231s <NA>
## 3969 Masterâ\200\231s 0-49
## 3970 Professional 0-49
## 3971 Masterâ\200\231s 1000-9,999
## 3972 Bachelorâ\200\231s 0-49
## 3973 Masterâ\200\231s > 10,000
## 3974 Masterâ\200\231s 250-999
## 3975 Masterâ\200\231s > 10,000
## 3976 Masterâ\200\231s 0-49
## 3977 Masterâ\200\231s 50-249
## 3978 Masterâ\200\231s 0-49
## 3979 Masterâ\200\231s 50-249
## 3980 Masterâ\200\231s 250-999
## 3981 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 3982 No formal education past high school 0-49
## 3983 Bachelorâ\200\231s 0-49
## 3984 Bachelorâ\200\231s <NA>
## 3985 Masterâ\200\231s 50-249
## 3986 Masterâ\200\231s <NA>
## 3987 Bachelorâ\200\231s > 10,000
## 3988 Bachelorâ\200\231s <NA>
## 3989 Bachelorâ\200\231s 0-49
## 3990 Doctoral 1000-9,999
## 3991 Masterâ\200\231s > 10,000
## 3992 Doctoral 1000-9,999
## 3993 Bachelorâ\200\231s > 10,000
## 3994 Masterâ\200\231s 250-999
## 3995 Doctoral 0-49
## 3996 Masterâ\200\231s > 10,000
## 3997 Professional <NA>
## 3998 Masterâ\200\231s 1000-9,999
## 3999 Bachelorâ\200\231s > 10,000
## 4000 Doctoral 0-49
## 4001 Bachelorâ\200\231s > 10,000
## 4002 Masterâ\200\231s 250-999
## 4003 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 4004 Doctoral 250-999
## 4005 Masterâ\200\231s 0-49
## 4006 Doctoral 0-49
## 4007 Masterâ\200\231s 50-249
## 4008 Bachelorâ\200\231s 0-49
## 4009 Bachelorâ\200\231s 250-999
## 4010 Masterâ\200\231s <NA>
## 4011 Masterâ\200\231s <NA>
## 4012 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 4013 Masterâ\200\231s <NA>
## 4014 Bachelorâ\200\231s 50-249
## 4015 Bachelorâ\200\231s 250-999
## 4016 Masterâ\200\231s 250-999
## 4017 Bachelorâ\200\231s 1000-9,999
## 4018 Bachelorâ\200\231s 50-249
## 4019 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 4020 Masterâ\200\231s 50-249
## 4021 Masterâ\200\231s 250-999
## 4022 Doctoral 0-49
## 4023 Masterâ\200\231s 50-249
## 4024 Masterâ\200\231s > 10,000
## 4025 Masterâ\200\231s > 10,000
## 4026 Masterâ\200\231s 1000-9,999
## 4027 Doctoral > 10,000
## 4028 Masterâ\200\231s 0-49
## 4029 Masterâ\200\231s > 10,000
## 4030 Doctoral 1000-9,999
## 4031 Doctoral 250-999
## 4032 Masterâ\200\231s 0-49
## 4033 Bachelorâ\200\231s > 10,000
## 4034 I prefer not to answer 1000-9,999
## 4035 Masterâ\200\231s 50-249
## 4036 Masterâ\200\231s 250-999
## 4037 Masterâ\200\231s 1000-9,999
## 4038 I prefer not to answer <NA>
## 4039 Masterâ\200\231s > 10,000
## 4040 Masterâ\200\231s 0-49
## 4041 Masterâ\200\231s > 10,000
## 4042 Doctoral 1000-9,999
## 4043 Doctoral 0-49
## 4044 Masterâ\200\231s <NA>
## 4045 Masterâ\200\231s <NA>
## 4046 Masterâ\200\231s 250-999
## 4047 Masterâ\200\231s 250-999
## 4048 Masterâ\200\231s <NA>
## 4049 Masterâ\200\231s <NA>
## 4050 Bachelorâ\200\231s 0-49
## 4051 Professional 250-999
## 4052 Masterâ\200\231s 250-999
## 4053 Doctoral 250-999
## 4054 Masterâ\200\231s 50-249
## 4055 Masterâ\200\231s 1000-9,999
## 4056 Masterâ\200\231s 0-49
## 4057 Bachelorâ\200\231s 50-249
## 4058 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 4059 Masterâ\200\231s 1000-9,999
## 4060 Masterâ\200\231s 0-49
## 4061 Masterâ\200\231s 0-49
## 4062 Masterâ\200\231s > 10,000
## 4063 Bachelorâ\200\231s 1000-9,999
## 4064 Masterâ\200\231s 0-49
## 4065 Masterâ\200\231s <NA>
## 4066 Masterâ\200\231s 50-249
## 4067 Masterâ\200\231s 1000-9,999
## 4068 Masterâ\200\231s 0-49
## 4069 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 4070 Masterâ\200\231s 50-249
## 4071 Bachelorâ\200\231s <NA>
## 4072 Doctoral 250-999
## 4073 Masterâ\200\231s 0-49
## 4074 Doctoral 250-999
## 4075 Doctoral <NA>
## 4076 Masterâ\200\231s > 10,000
## 4077 Doctoral 50-249
## 4078 Masterâ\200\231s 250-999
## 4079 Doctoral 250-999
## 4080 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 4081 Doctoral 1000-9,999
## 4082 Bachelorâ\200\231s <NA>
## 4083 Masterâ\200\231s <NA>
## 4084 Masterâ\200\231s 0-49
## 4085 Masterâ\200\231s 50-249
## 4086 Bachelorâ\200\231s 0-49
## 4087 Masterâ\200\231s 50-249
## 4088 Masterâ\200\231s 1000-9,999
## 4089 Masterâ\200\231s 0-49
## 4090 I prefer not to answer 50-249
## 4091 Bachelorâ\200\231s 250-999
## 4092 Masterâ\200\231s 1000-9,999
## 4093 Bachelorâ\200\231s <NA>
## 4094 Doctoral 1000-9,999
## 4095 Bachelorâ\200\231s <NA>
## 4096 Bachelorâ\200\231s > 10,000
## 4097 Masterâ\200\231s <NA>
## 4098 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 4099 Masterâ\200\231s 50-249
## 4100 Masterâ\200\231s 0-49
## 4101 Masterâ\200\231s 250-999
## 4102 Masterâ\200\231s <NA>
## 4103 Masterâ\200\231s 0-49
## 4104 Masterâ\200\231s 250-999
## 4105 Masterâ\200\231s <NA>
## 4106 Masterâ\200\231s <NA>
## 4107 Masterâ\200\231s 0-49
## 4108 Bachelorâ\200\231s 0-49
## 4109 No formal education past high school <NA>
## 4110 Doctoral 1000-9,999
## 4111 Masterâ\200\231s 250-999
## 4112 Bachelorâ\200\231s 50-249
## 4113 Bachelorâ\200\231s 0-49
## 4114 Doctoral 250-999
## 4115 I prefer not to answer 0-49
## 4116 Masterâ\200\231s 0-49
## 4117 Masterâ\200\231s 1000-9,999
## 4118 Doctoral 0-49
## 4119 Masterâ\200\231s > 10,000
## 4120 Doctoral 1000-9,999
## 4121 Masterâ\200\231s 50-249
## 4122 Doctoral 50-249
## 4123 Masterâ\200\231s 1000-9,999
## 4124 Doctoral 50-249
## 4125 Masterâ\200\231s <NA>
## 4126 Masterâ\200\231s 0-49
## 4127 Bachelorâ\200\231s > 10,000
## 4128 Masterâ\200\231s 50-249
## 4129 Masterâ\200\231s 0-49
## 4130 Professional <NA>
## 4131 Bachelorâ\200\231s <NA>
## 4132 I prefer not to answer <NA>
## 4133 Masterâ\200\231s <NA>
## 4134 Doctoral 1000-9,999
## 4135 Masterâ\200\231s 0-49
## 4136 I prefer not to answer 0-49
## 4137 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 4138 Doctoral 0-49
## 4139 Masterâ\200\231s 0-49
## 4140 Masterâ\200\231s > 10,000
## 4141 Doctoral <NA>
## 4142 Bachelorâ\200\231s <NA>
## 4143 Doctoral 250-999
## 4144 Bachelorâ\200\231s <NA>
## 4145 Bachelorâ\200\231s <NA>
## 4146 Masterâ\200\231s 50-249
## 4147 Masterâ\200\231s 50-249
## 4148 Bachelorâ\200\231s > 10,000
## 4149 Masterâ\200\231s <NA>
## 4150 Bachelorâ\200\231s <NA>
## 4151 Bachelorâ\200\231s <NA>
## 4152 Masterâ\200\231s <NA>
## 4153 Bachelorâ\200\231s 1000-9,999
## 4154 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 4155 Masterâ\200\231s 50-249
## 4156 Masterâ\200\231s > 10,000
## 4157 Masterâ\200\231s <NA>
## 4158 Bachelorâ\200\231s 0-49
## 4159 Doctoral <NA>
## 4160 Bachelorâ\200\231s > 10,000
## 4161 Bachelorâ\200\231s <NA>
## 4162 Masterâ\200\231s 0-49
## 4163 Doctoral <NA>
## 4164 Masterâ\200\231s 0-49
## 4165 Masterâ\200\231s 0-49
## 4166 Masterâ\200\231s > 10,000
## 4167 Masterâ\200\231s > 10,000
## 4168 Doctoral 0-49
## 4169 Bachelorâ\200\231s <NA>
## 4170 Doctoral 0-49
## 4171 Doctoral 0-49
## 4172 Masterâ\200\231s 1000-9,999
## 4173 Masterâ\200\231s 50-249
## 4174 Masterâ\200\231s 0-49
## 4175 Doctoral 250-999
## 4176 Doctoral > 10,000
## 4177 Bachelorâ\200\231s 1000-9,999
## 4178 Bachelorâ\200\231s <NA>
## 4179 Masterâ\200\231s 50-249
## 4180 Masterâ\200\231s 0-49
## 4181 Masterâ\200\231s > 10,000
## 4182 Masterâ\200\231s 0-49
## 4183 Masterâ\200\231s > 10,000
## 4184 Bachelorâ\200\231s <NA>
## 4185 Masterâ\200\231s 0-49
## 4186 Doctoral 50-249
## 4187 Bachelorâ\200\231s > 10,000
## 4188 Bachelorâ\200\231s <NA>
## 4189 Masterâ\200\231s 0-49
## 4190 Masterâ\200\231s 0-49
## 4191 Masterâ\200\231s 50-249
## 4192 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 4193 Bachelorâ\200\231s 0-49
## 4194 Doctoral 1000-9,999
## 4195 Masterâ\200\231s > 10,000
## 4196 Masterâ\200\231s 250-999
## 4197 Bachelorâ\200\231s 1000-9,999
## 4198 Masterâ\200\231s 0-49
## 4199 Bachelorâ\200\231s 0-49
## 4200 Masterâ\200\231s <NA>
## 4201 Bachelorâ\200\231s 250-999
## 4202 Doctoral 1000-9,999
## 4203 Masterâ\200\231s <NA>
## 4204 Bachelorâ\200\231s <NA>
## 4205 Masterâ\200\231s > 10,000
## 4206 Bachelorâ\200\231s <NA>
## 4207 Bachelorâ\200\231s <NA>
## 4208 Masterâ\200\231s 50-249
## 4209 Bachelorâ\200\231s 0-49
## 4210 Bachelorâ\200\231s 250-999
## 4211 Bachelorâ\200\231s > 10,000
## 4212 No formal education past high school 0-49
## 4213 Doctoral 1000-9,999
## 4214 Masterâ\200\231s 1000-9,999
## 4215 Masterâ\200\231s 250-999
## 4216 Bachelorâ\200\231s > 10,000
## 4217 Bachelorâ\200\231s <NA>
## 4218 Masterâ\200\231s > 10,000
## 4219 Bachelorâ\200\231s > 10,000
## 4220 Bachelorâ\200\231s 1000-9,999
## 4221 Masterâ\200\231s 0-49
## 4222 Doctoral 50-249
## 4223 Bachelorâ\200\231s 0-49
## 4224 Masterâ\200\231s 0-49
## 4225 Bachelorâ\200\231s 250-999
## 4226 Doctoral 250-999
## 4227 Masterâ\200\231s <NA>
## 4228 Masterâ\200\231s <NA>
## 4229 Bachelorâ\200\231s > 10,000
## 4230 Doctoral 50-249
## 4231 Masterâ\200\231s > 10,000
## 4232 Masterâ\200\231s 50-249
## 4233 Masterâ\200\231s 250-999
## 4234 Bachelorâ\200\231s <NA>
## 4235 Masterâ\200\231s > 10,000
## 4236 Masterâ\200\231s 0-49
## 4237 Doctoral 1000-9,999
## 4238 Doctoral <NA>
## 4239 Bachelorâ\200\231s <NA>
## 4240 Masterâ\200\231s 0-49
## 4241 Masterâ\200\231s 250-999
## 4242 Masterâ\200\231s <NA>
## 4243 Masterâ\200\231s > 10,000
## 4244 Doctoral 250-999
## 4245 Masterâ\200\231s > 10,000
## 4246 Masterâ\200\231s 50-249
## 4247 Doctoral 50-249
## 4248 Bachelorâ\200\231s 0-49
## 4249 Doctoral 1000-9,999
## 4250 Bachelorâ\200\231s <NA>
## 4251 Masterâ\200\231s 0-49
## 4252 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 4253 Masterâ\200\231s 0-49
## 4254 Bachelorâ\200\231s 0-49
## 4255 Bachelorâ\200\231s <NA>
## 4256 Masterâ\200\231s 0-49
## 4257 Bachelorâ\200\231s 250-999
## 4258 Masterâ\200\231s 50-249
## 4259 Masterâ\200\231s 1000-9,999
## 4260 Bachelorâ\200\231s 1000-9,999
## 4261 Doctoral 1000-9,999
## 4262 Masterâ\200\231s 0-49
## 4263 Doctoral <NA>
## 4264 Bachelorâ\200\231s > 10,000
## 4265 Masterâ\200\231s 250-999
## 4266 Masterâ\200\231s 0-49
## 4267 Bachelorâ\200\231s 0-49
## 4268 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 4269 Masterâ\200\231s <NA>
## 4270 Masterâ\200\231s 50-249
## 4271 Professional > 10,000
## 4272 Professional 0-49
## 4273 Masterâ\200\231s <NA>
## 4274 Masterâ\200\231s <NA>
## 4275 I prefer not to answer <NA>
## 4276 I prefer not to answer <NA>
## 4277 Masterâ\200\231s 0-49
## 4278 Bachelorâ\200\231s <NA>
## 4279 Masterâ\200\231s <NA>
## 4280 Masterâ\200\231s 0-49
## 4281 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 4282 Masterâ\200\231s 0-49
## 4283 Doctoral 1000-9,999
## 4284 Doctoral 250-999
## 4285 Doctoral 1000-9,999
## 4286 Bachelorâ\200\231s 0-49
## 4287 Doctoral 250-999
## 4288 Masterâ\200\231s 0-49
## 4289 Doctoral 50-249
## 4290 Bachelorâ\200\231s 0-49
## 4291 Bachelorâ\200\231s 50-249
## 4292 Bachelorâ\200\231s 0-49
## 4293 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 4294 Bachelorâ\200\231s 0-49
## 4295 Bachelorâ\200\231s <NA>
## 4296 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 4297 Masterâ\200\231s 1000-9,999
## 4298 Bachelorâ\200\231s 1000-9,999
## 4299 Masterâ\200\231s 1000-9,999
## 4300 Bachelorâ\200\231s 50-249
## 4301 Professional > 10,000
## 4302 Bachelorâ\200\231s <NA>
## 4303 Masterâ\200\231s <NA>
## 4304 Bachelorâ\200\231s 0-49
## 4305 Masterâ\200\231s 1000-9,999
## 4306 Masterâ\200\231s 0-49
## 4307 Masterâ\200\231s 1000-9,999
## 4308 Masterâ\200\231s 0-49
## 4309 Masterâ\200\231s > 10,000
## 4310 Masterâ\200\231s <NA>
## 4311 Masterâ\200\231s <NA>
## 4312 Masterâ\200\231s 0-49
## 4313 Doctoral 250-999
## 4314 Masterâ\200\231s 1000-9,999
## 4315 Bachelorâ\200\231s <NA>
## 4316 Doctoral 1000-9,999
## 4317 Bachelorâ\200\231s <NA>
## 4318 Bachelorâ\200\231s 50-249
## 4319 Bachelorâ\200\231s 0-49
## 4320 Doctoral 1000-9,999
## 4321 Bachelorâ\200\231s 250-999
## 4322 Bachelorâ\200\231s 0-49
## 4323 Professional 1000-9,999
## 4324 Masterâ\200\231s > 10,000
## 4325 Masterâ\200\231s 250-999
## 4326 Bachelorâ\200\231s > 10,000
## 4327 Bachelorâ\200\231s > 10,000
## 4328 Doctoral 250-999
## 4329 Bachelorâ\200\231s 0-49
## 4330 Masterâ\200\231s 0-49
## 4331 Masterâ\200\231s 50-249
## 4332 Masterâ\200\231s 50-249
## 4333 Masterâ\200\231s 0-49
## 4334 Bachelorâ\200\231s <NA>
## 4335 Bachelorâ\200\231s 1000-9,999
## 4336 Masterâ\200\231s 1000-9,999
## 4337 Masterâ\200\231s 1000-9,999
## 4338 Masterâ\200\231s 1000-9,999
## 4339 Bachelorâ\200\231s 0-49
## 4340 Doctoral 1000-9,999
## 4341 Masterâ\200\231s 0-49
## 4342 Masterâ\200\231s 0-49
## 4343 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 4344 Bachelorâ\200\231s 0-49
## 4345 Bachelorâ\200\231s <NA>
## 4346 Doctoral 0-49
## 4347 Masterâ\200\231s 1000-9,999
## 4348 Bachelorâ\200\231s 0-49
## 4349 Doctoral 0-49
## 4350 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 4351 Masterâ\200\231s 1000-9,999
## 4352 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 4353 Bachelorâ\200\231s <NA>
## 4354 Professional 0-49
## 4355 Doctoral > 10,000
## 4356 Masterâ\200\231s 1000-9,999
## 4357 Masterâ\200\231s 1000-9,999
## 4358 Masterâ\200\231s 0-49
## 4359 Masterâ\200\231s 1000-9,999
## 4360 Masterâ\200\231s 50-249
## 4361 Masterâ\200\231s > 10,000
## 4362 Masterâ\200\231s 0-49
## 4363 Masterâ\200\231s > 10,000
## 4364 Masterâ\200\231s 50-249
## 4365 Masterâ\200\231s 250-999
## 4366 Masterâ\200\231s <NA>
## 4367 Masterâ\200\231s 1000-9,999
## 4368 Bachelorâ\200\231s <NA>
## 4369 Masterâ\200\231s 250-999
## 4370 Bachelorâ\200\231s 1000-9,999
## 4371 Masterâ\200\231s 50-249
## 4372 Doctoral > 10,000
## 4373 Masterâ\200\231s 250-999
## 4374 Doctoral 0-49
## 4375 Masterâ\200\231s 1000-9,999
## 4376 Masterâ\200\231s > 10,000
## 4377 Bachelorâ\200\231s > 10,000
## 4378 Doctoral > 10,000
## 4379 Bachelorâ\200\231s 50-249
## 4380 Doctoral > 10,000
## 4381 Bachelorâ\200\231s 0-49
## 4382 Doctoral 250-999
## 4383 Doctoral > 10,000
## 4384 Bachelorâ\200\231s <NA>
## 4385 Bachelorâ\200\231s > 10,000
## 4386 Masterâ\200\231s 0-49
## 4387 Bachelorâ\200\231s 250-999
## 4388 Doctoral 250-999
## 4389 Bachelorâ\200\231s <NA>
## 4390 Masterâ\200\231s 0-49
## 4391 Bachelorâ\200\231s <NA>
## 4392 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 4393 Masterâ\200\231s <NA>
## 4394 Bachelorâ\200\231s 0-49
## 4395 Masterâ\200\231s 0-49
## 4396 Masterâ\200\231s <NA>
## 4397 Masterâ\200\231s 1000-9,999
## 4398 Bachelorâ\200\231s <NA>
## 4399 Masterâ\200\231s 250-999
## 4400 Bachelorâ\200\231s <NA>
## 4401 Doctoral <NA>
## 4402 Bachelorâ\200\231s 1000-9,999
## 4403 Bachelorâ\200\231s <NA>
## 4404 Masterâ\200\231s 0-49
## 4405 Masterâ\200\231s 250-999
## 4406 Bachelorâ\200\231s 0-49
## 4407 Masterâ\200\231s > 10,000
## 4408 Bachelorâ\200\231s > 10,000
## 4409 Bachelorâ\200\231s <NA>
## 4410 Bachelorâ\200\231s <NA>
## 4411 Bachelorâ\200\231s 50-249
## 4412 Masterâ\200\231s > 10,000
## 4413 Masterâ\200\231s 250-999
## 4414 Bachelorâ\200\231s 0-49
## 4415 Doctoral <NA>
## 4416 Bachelorâ\200\231s 1000-9,999
## 4417 Bachelorâ\200\231s 50-249
## 4418 Bachelorâ\200\231s 0-49
## 4419 Bachelorâ\200\231s > 10,000
## 4420 Professional <NA>
## 4421 Bachelorâ\200\231s 1000-9,999
## 4422 Bachelorâ\200\231s 50-249
## 4423 Masterâ\200\231s 1000-9,999
## 4424 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 4425 Masterâ\200\231s 50-249
## 4426 Doctoral <NA>
## 4427 Bachelorâ\200\231s <NA>
## 4428 I prefer not to answer 50-249
## 4429 Masterâ\200\231s 1000-9,999
## 4430 Masterâ\200\231s > 10,000
## 4431 Bachelorâ\200\231s > 10,000
## 4432 Doctoral <NA>
## 4433 Masterâ\200\231s <NA>
## 4434 Masterâ\200\231s > 10,000
## 4435 Bachelorâ\200\231s <NA>
## 4436 Bachelorâ\200\231s 250-999
## 4437 Bachelorâ\200\231s 250-999
## 4438 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 4439 Doctoral > 10,000
## 4440 Bachelorâ\200\231s > 10,000
## 4441 Masterâ\200\231s 0-49
## 4442 No formal education past high school <NA>
## 4443 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 4444 Bachelorâ\200\231s <NA>
## 4445 Masterâ\200\231s > 10,000
## 4446 Masterâ\200\231s > 10,000
## 4447 Bachelorâ\200\231s > 10,000
## 4448 I prefer not to answer 0-49
## 4449 Bachelorâ\200\231s <NA>
## 4450 Masterâ\200\231s 0-49
## 4451 Masterâ\200\231s 1000-9,999
## 4452 Masterâ\200\231s 250-999
## 4453 Bachelorâ\200\231s 0-49
## 4454 Bachelorâ\200\231s 0-49
## 4455 Doctoral 0-49
## 4456 Bachelorâ\200\231s 50-249
## 4457 Masterâ\200\231s 1000-9,999
## 4458 Masterâ\200\231s > 10,000
## 4459 Masterâ\200\231s 0-49
## 4460 Professional 0-49
## 4461 Bachelorâ\200\231s > 10,000
## 4462 Masterâ\200\231s 250-999
## 4463 Masterâ\200\231s > 10,000
## 4464 Masterâ\200\231s 250-999
## 4465 Bachelorâ\200\231s > 10,000
## 4466 Masterâ\200\231s 50-249
## 4467 Masterâ\200\231s 250-999
## 4468 Bachelorâ\200\231s <NA>
## 4469 Bachelorâ\200\231s 0-49
## 4470 Bachelorâ\200\231s > 10,000
## 4471 Masterâ\200\231s 50-249
## 4472 Masterâ\200\231s 50-249
## 4473 Bachelorâ\200\231s <NA>
## 4474 Masterâ\200\231s > 10,000
## 4475 Bachelorâ\200\231s <NA>
## 4476 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 4477 Masterâ\200\231s > 10,000
## 4478 Masterâ\200\231s > 10,000
## 4479 Bachelorâ\200\231s > 10,000
## 4480 Masterâ\200\231s 1000-9,999
## 4481 Masterâ\200\231s 0-49
## 4482 Masterâ\200\231s 50-249
## 4483 Masterâ\200\231s 0-49
## 4484 Professional 0-49
## 4485 No formal education past high school 50-249
## 4486 Masterâ\200\231s > 10,000
## 4487 Bachelorâ\200\231s <NA>
## 4488 I prefer not to answer > 10,000
## 4489 Masterâ\200\231s 50-249
## 4490 Doctoral > 10,000
## 4491 Masterâ\200\231s 0-49
## 4492 Masterâ\200\231s <NA>
## 4493 I prefer not to answer > 10,000
## 4494 Masterâ\200\231s 1000-9,999
## 4495 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 4496 Bachelorâ\200\231s <NA>
## 4497 Bachelorâ\200\231s 0-49
## 4498 Masterâ\200\231s <NA>
## 4499 Professional 0-49
## 4500 Masterâ\200\231s 50-249
## 4501 Bachelorâ\200\231s 1000-9,999
## 4502 Doctoral 1000-9,999
## 4503 Bachelorâ\200\231s 0-49
## 4504 Masterâ\200\231s 0-49
## 4505 Bachelorâ\200\231s <NA>
## 4506 No formal education past high school 1000-9,999
## 4507 Bachelorâ\200\231s > 10,000
## 4508 Professional 50-249
## 4509 Masterâ\200\231s > 10,000
## 4510 Masterâ\200\231s <NA>
## 4511 Bachelorâ\200\231s <NA>
## 4512 Masterâ\200\231s > 10,000
## 4513 Doctoral 50-249
## 4514 Bachelorâ\200\231s <NA>
## 4515 Doctoral 0-49
## 4516 Masterâ\200\231s > 10,000
## 4517 Bachelorâ\200\231s 50-249
## 4518 Bachelorâ\200\231s 1000-9,999
## 4519 Doctoral 1000-9,999
## 4520 Masterâ\200\231s 0-49
## 4521 Masterâ\200\231s 250-999
## 4522 Doctoral 0-49
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## 4524 Masterâ\200\231s 50-249
## 4525 Masterâ\200\231s 250-999
## 4526 Masterâ\200\231s 1000-9,999
## 4527 Masterâ\200\231s 250-999
## 4528 Masterâ\200\231s 50-249
## 4529 Bachelorâ\200\231s 250-999
## 4530 Masterâ\200\231s 0-49
## 4531 Bachelorâ\200\231s 1000-9,999
## 4532 Masterâ\200\231s > 10,000
## 4533 Masterâ\200\231s 1000-9,999
## 4534 Masterâ\200\231s 250-999
## 4535 Bachelorâ\200\231s <NA>
## 4536 Masterâ\200\231s 250-999
## 4537 Masterâ\200\231s > 10,000
## 4538 Masterâ\200\231s 1000-9,999
## 4539 Masterâ\200\231s > 10,000
## 4540 Masterâ\200\231s 50-249
## 4541 Bachelorâ\200\231s 0-49
## 4542 Masterâ\200\231s 250-999
## 4543 Bachelorâ\200\231s 0-49
## 4544 Bachelorâ\200\231s <NA>
## 4545 Masterâ\200\231s 1000-9,999
## 4546 Doctoral 50-249
## 4547 Doctoral 0-49
## 4548 Professional 0-49
## 4549 Bachelorâ\200\231s > 10,000
## 4550 Bachelorâ\200\231s <NA>
## 4551 Bachelorâ\200\231s 1000-9,999
## 4552 Masterâ\200\231s > 10,000
## 4553 I prefer not to answer <NA>
## 4554 Masterâ\200\231s 250-999
## 4555 Doctoral 1000-9,999
## 4556 Masterâ\200\231s 1000-9,999
## 4557 Masterâ\200\231s 0-49
## 4558 Doctoral > 10,000
## 4559 Doctoral > 10,000
## 4560 Doctoral 50-249
## 4561 Bachelorâ\200\231s 0-49
## 4562 Bachelorâ\200\231s <NA>
## 4563 Bachelorâ\200\231s > 10,000
## 4564 Masterâ\200\231s 0-49
## 4565 Bachelorâ\200\231s 1000-9,999
## 4566 Doctoral 0-49
## 4567 Doctoral 50-249
## 4568 Bachelorâ\200\231s <NA>
## 4569 Masterâ\200\231s 1000-9,999
## 4570 Bachelorâ\200\231s 0-49
## 4571 Masterâ\200\231s > 10,000
## 4572 Doctoral 1000-9,999
## 4573 Doctoral 1000-9,999
## 4574 Masterâ\200\231s 50-249
## 4575 Masterâ\200\231s 50-249
## 4576 Bachelorâ\200\231s <NA>
## 4577 Doctoral 250-999
## 4578 Masterâ\200\231s <NA>
## 4579 Masterâ\200\231s 50-249
## 4580 Masterâ\200\231s <NA>
## 4581 Masterâ\200\231s 250-999
## 4582 Masterâ\200\231s 0-49
## 4583 Bachelorâ\200\231s <NA>
## 4584 Masterâ\200\231s 0-49
## 4585 Masterâ\200\231s 50-249
## 4586 Bachelorâ\200\231s <NA>
## 4587 Masterâ\200\231s <NA>
## 4588 Masterâ\200\231s 0-49
## 4589 Masterâ\200\231s 0-49
## 4590 Bachelorâ\200\231s 0-49
## 4591 Doctoral 250-999
## 4592 Masterâ\200\231s <NA>
## 4593 Bachelorâ\200\231s 0-49
## 4594 No formal education past high school <NA>
## 4595 Masterâ\200\231s 0-49
## 4596 Doctoral 1000-9,999
## 4597 Bachelorâ\200\231s <NA>
## 4598 Masterâ\200\231s <NA>
## 4599 Masterâ\200\231s > 10,000
## 4600 Doctoral 0-49
## 4601 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 4602 Bachelorâ\200\231s <NA>
## 4603 Masterâ\200\231s 1000-9,999
## 4604 Masterâ\200\231s 1000-9,999
## 4605 Masterâ\200\231s > 10,000
## 4606 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 4607 No formal education past high school 250-999
## 4608 No formal education past high school 50-249
## 4609 Masterâ\200\231s > 10,000
## 4610 Masterâ\200\231s > 10,000
## 4611 Doctoral 1000-9,999
## 4612 Bachelorâ\200\231s 0-49
## 4613 Masterâ\200\231s 1000-9,999
## 4614 Masterâ\200\231s 0-49
## 4615 Doctoral 1000-9,999
## 4616 Masterâ\200\231s > 10,000
## 4617 Bachelorâ\200\231s 0-49
## 4618 Bachelorâ\200\231s 0-49
## 4619 Masterâ\200\231s > 10,000
## 4620 Masterâ\200\231s 1000-9,999
## 4621 Bachelorâ\200\231s > 10,000
## 4622 Masterâ\200\231s <NA>
## 4623 Masterâ\200\231s 1000-9,999
## 4624 Masterâ\200\231s 0-49
## 4625 Doctoral 0-49
## 4626 Masterâ\200\231s > 10,000
## 4627 Bachelorâ\200\231s 0-49
## 4628 Masterâ\200\231s > 10,000
## 4629 Masterâ\200\231s <NA>
## 4630 Bachelorâ\200\231s <NA>
## 4631 Doctoral 1000-9,999
## 4632 Masterâ\200\231s 1000-9,999
## 4633 Masterâ\200\231s 50-249
## 4634 Bachelorâ\200\231s 1000-9,999
## 4635 Masterâ\200\231s 0-49
## 4636 Masterâ\200\231s 50-249
## 4637 Bachelorâ\200\231s 0-49
## 4638 Bachelorâ\200\231s 1000-9,999
## 4639 Bachelorâ\200\231s <NA>
## 4640 Masterâ\200\231s 250-999
## 4641 Bachelorâ\200\231s 1000-9,999
## 4642 Professional 50-249
## 4643 Bachelorâ\200\231s <NA>
## 4644 Bachelorâ\200\231s 0-49
## 4645 Masterâ\200\231s 0-49
## 4646 Doctoral > 10,000
## 4647 Bachelorâ\200\231s > 10,000
## 4648 Masterâ\200\231s 0-49
## 4649 Masterâ\200\231s 50-249
## 4650 Bachelorâ\200\231s 50-249
## 4651 Masterâ\200\231s 1000-9,999
## 4652 Doctoral 0-49
## 4653 Professional <NA>
## 4654 Masterâ\200\231s <NA>
## 4655 Professional 0-49
## 4656 Masterâ\200\231s 50-249
## 4657 Bachelorâ\200\231s <NA>
## 4658 Masterâ\200\231s 1000-9,999
## 4659 Masterâ\200\231s 250-999
## 4660 Masterâ\200\231s 0-49
## 4661 Doctoral 1000-9,999
## 4662 Doctoral <NA>
## 4663 Masterâ\200\231s 0-49
## 4664 Masterâ\200\231s 250-999
## 4665 Masterâ\200\231s > 10,000
## 4666 Masterâ\200\231s 1000-9,999
## 4667 I prefer not to answer <NA>
## 4668 Masterâ\200\231s 1000-9,999
## 4669 No formal education past high school <NA>
## 4670 Masterâ\200\231s 1000-9,999
## 4671 Doctoral 250-999
## 4672 Bachelorâ\200\231s 250-999
## 4673 Masterâ\200\231s 1000-9,999
## 4674 Masterâ\200\231s 0-49
## 4675 Masterâ\200\231s 1000-9,999
## 4676 Masterâ\200\231s 0-49
## 4677 Bachelorâ\200\231s > 10,000
## 4678 Professional <NA>
## 4679 Masterâ\200\231s 0-49
## 4680 Masterâ\200\231s <NA>
## 4681 Masterâ\200\231s <NA>
## 4682 Masterâ\200\231s 250-999
## 4683 Bachelorâ\200\231s <NA>
## 4684 Bachelorâ\200\231s 0-49
## 4685 Masterâ\200\231s 50-249
## 4686 No formal education past high school 0-49
## 4687 Bachelorâ\200\231s > 10,000
## 4688 Bachelorâ\200\231s 50-249
## 4689 Masterâ\200\231s <NA>
## 4690 Masterâ\200\231s 0-49
## 4691 Bachelorâ\200\231s 250-999
## 4692 Bachelorâ\200\231s 250-999
## 4693 Professional 1000-9,999
## 4694 Masterâ\200\231s > 10,000
## 4695 Masterâ\200\231s 1000-9,999
## 4696 Professional 50-249
## 4697 Bachelorâ\200\231s <NA>
## 4698 Bachelorâ\200\231s 50-249
## 4699 Doctoral 1000-9,999
## 4700 Masterâ\200\231s <NA>
## 4701 Bachelorâ\200\231s 250-999
## 4702 Bachelorâ\200\231s <NA>
## 4703 Bachelorâ\200\231s <NA>
## 4704 Masterâ\200\231s 0-49
## 4705 Doctoral 0-49
## 4706 Bachelorâ\200\231s > 10,000
## 4707 Bachelorâ\200\231s <NA>
## 4708 Doctoral 50-249
## 4709 Bachelorâ\200\231s <NA>
## 4710 Masterâ\200\231s 250-999
## 4711 Doctoral > 10,000
## 4712 Bachelorâ\200\231s <NA>
## 4713 Masterâ\200\231s > 10,000
## 4714 Bachelorâ\200\231s <NA>
## 4715 Bachelorâ\200\231s <NA>
## 4716 Doctoral 1000-9,999
## 4717 Masterâ\200\231s 50-249
## 4718 Doctoral 0-49
## 4719 Bachelorâ\200\231s > 10,000
## 4720 Doctoral 250-999
## 4721 Bachelorâ\200\231s 50-249
## 4722 Doctoral 1000-9,999
## 4723 Masterâ\200\231s <NA>
## 4724 Masterâ\200\231s 50-249
## 4725 I prefer not to answer > 10,000
## 4726 Masterâ\200\231s 50-249
## 4727 Masterâ\200\231s 0-49
## 4728 Doctoral <NA>
## 4729 Masterâ\200\231s 1000-9,999
## 4730 Doctoral 0-49
## 4731 Masterâ\200\231s 0-49
## 4732 Masterâ\200\231s > 10,000
## 4733 Bachelorâ\200\231s > 10,000
## 4734 Masterâ\200\231s 1000-9,999
## 4735 Masterâ\200\231s 50-249
## 4736 Bachelorâ\200\231s 0-49
## 4737 Bachelorâ\200\231s <NA>
## 4738 Masterâ\200\231s 0-49
## 4739 Masterâ\200\231s > 10,000
## 4740 Masterâ\200\231s 1000-9,999
## 4741 Masterâ\200\231s 250-999
## 4742 Doctoral 250-999
## 4743 Bachelorâ\200\231s <NA>
## 4744 Professional 1000-9,999
## 4745 Doctoral 1000-9,999
## 4746 Masterâ\200\231s <NA>
## 4747 Masterâ\200\231s <NA>
## 4748 Masterâ\200\231s 0-49
## 4749 Bachelorâ\200\231s 250-999
## 4750 Bachelorâ\200\231s > 10,000
## 4751 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 4752 Masterâ\200\231s > 10,000
## 4753 Masterâ\200\231s 0-49
## 4754 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 4755 Masterâ\200\231s 50-249
## 4756 Bachelorâ\200\231s <NA>
## 4757 Bachelorâ\200\231s > 10,000
## 4758 Masterâ\200\231s 250-999
## 4759 Doctoral 1000-9,999
## 4760 Masterâ\200\231s 1000-9,999
## 4761 Professional > 10,000
## 4762 Bachelorâ\200\231s <NA>
## 4763 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 4764 Masterâ\200\231s 1000-9,999
## 4765 Bachelorâ\200\231s <NA>
## 4766 Masterâ\200\231s 1000-9,999
## 4767 Bachelorâ\200\231s 250-999
## 4768 Masterâ\200\231s 1000-9,999
## 4769 Doctoral > 10,000
## 4770 Masterâ\200\231s > 10,000
## 4771 Masterâ\200\231s 50-249
## 4772 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 4773 Masterâ\200\231s <NA>
## 4774 Masterâ\200\231s > 10,000
## 4775 Masterâ\200\231s 1000-9,999
## 4776 Bachelorâ\200\231s > 10,000
## 4777 Masterâ\200\231s > 10,000
## 4778 Bachelorâ\200\231s <NA>
## 4779 Doctoral 50-249
## 4780 Masterâ\200\231s 0-49
## 4781 Masterâ\200\231s <NA>
## 4782 Masterâ\200\231s > 10,000
## 4783 Bachelorâ\200\231s > 10,000
## 4784 Bachelorâ\200\231s <NA>
## 4785 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 4786 Bachelorâ\200\231s 0-49
## 4787 Bachelorâ\200\231s <NA>
## 4788 Doctoral <NA>
## 4789 Masterâ\200\231s 1000-9,999
## 4790 Bachelorâ\200\231s <NA>
## 4791 Masterâ\200\231s 1000-9,999
## 4792 Masterâ\200\231s > 10,000
## 4793 Doctoral 250-999
## 4794 Doctoral > 10,000
## 4795 Doctoral 50-249
## 4796 Masterâ\200\231s > 10,000
## 4797 Bachelorâ\200\231s 1000-9,999
## 4798 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 4799 Masterâ\200\231s <NA>
## 4800 Masterâ\200\231s > 10,000
## 4801 Bachelorâ\200\231s <NA>
## 4802 Bachelorâ\200\231s <NA>
## 4803 Masterâ\200\231s <NA>
## 4804 Doctoral 1000-9,999
## 4805 Bachelorâ\200\231s > 10,000
## 4806 Bachelorâ\200\231s <NA>
## 4807 Masterâ\200\231s 250-999
## 4808 Masterâ\200\231s > 10,000
## 4809 Doctoral <NA>
## 4810 Bachelorâ\200\231s 50-249
## 4811 Masterâ\200\231s 250-999
## 4812 Masterâ\200\231s 0-49
## 4813 Doctoral 250-999
## 4814 Professional 0-49
## 4815 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 4816 Masterâ\200\231s > 10,000
## 4817 Doctoral 1000-9,999
## 4818 Doctoral > 10,000
## 4819 Doctoral 0-49
## 4820 Doctoral 0-49
## 4821 Doctoral <NA>
## 4822 Masterâ\200\231s 50-249
## 4823 Bachelorâ\200\231s 50-249
## 4824 Bachelorâ\200\231s 250-999
## 4825 Doctoral 0-49
## 4826 Masterâ\200\231s 250-999
## 4827 Masterâ\200\231s > 10,000
## 4828 Doctoral > 10,000
## 4829 Bachelorâ\200\231s <NA>
## 4830 Masterâ\200\231s <NA>
## 4831 Masterâ\200\231s 250-999
## 4832 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 4833 Masterâ\200\231s 50-249
## 4834 Bachelorâ\200\231s <NA>
## 4835 Bachelorâ\200\231s 1000-9,999
## 4836 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 4837 Masterâ\200\231s 0-49
## 4838 Masterâ\200\231s <NA>
## 4839 Masterâ\200\231s 50-249
## 4840 Bachelorâ\200\231s > 10,000
## 4841 Professional 50-249
## 4842 Doctoral 0-49
## 4843 Doctoral 250-999
## 4844 Masterâ\200\231s > 10,000
## 4845 Doctoral 50-249
## 4846 Masterâ\200\231s > 10,000
## 4847 Masterâ\200\231s > 10,000
## 4848 Bachelorâ\200\231s 1000-9,999
## 4849 Masterâ\200\231s > 10,000
## 4850 Masterâ\200\231s > 10,000
## 4851 Doctoral 0-49
## 4852 Doctoral 50-249
## 4853 Masterâ\200\231s > 10,000
## 4854 Masterâ\200\231s > 10,000
## 4855 Masterâ\200\231s 0-49
## 4856 Doctoral 50-249
## 4857 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 4858 Bachelorâ\200\231s 250-999
## 4859 Masterâ\200\231s 0-49
## 4860 Doctoral 250-999
## 4861 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 4862 Bachelorâ\200\231s <NA>
## 4863 Doctoral > 10,000
## 4864 Masterâ\200\231s 0-49
## 4865 Bachelorâ\200\231s <NA>
## 4866 Doctoral 1000-9,999
## 4867 Bachelorâ\200\231s 0-49
## 4868 Masterâ\200\231s <NA>
## 4869 Doctoral 50-249
## 4870 Doctoral 250-999
## 4871 Masterâ\200\231s 250-999
## 4872 Masterâ\200\231s 0-49
## 4873 Masterâ\200\231s 50-249
## 4874 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 4875 Masterâ\200\231s 1000-9,999
## 4876 Masterâ\200\231s > 10,000
## 4877 Bachelorâ\200\231s <NA>
## 4878 Masterâ\200\231s 0-49
## 4879 Masterâ\200\231s <NA>
## 4880 Bachelorâ\200\231s 0-49
## 4881 Masterâ\200\231s 1000-9,999
## 4882 Masterâ\200\231s <NA>
## 4883 Masterâ\200\231s <NA>
## 4884 Masterâ\200\231s 0-49
## 4885 Bachelorâ\200\231s <NA>
## 4886 Bachelorâ\200\231s 250-999
## 4887 No formal education past high school 50-249
## 4888 Masterâ\200\231s > 10,000
## 4889 Bachelorâ\200\231s > 10,000
## 4890 Masterâ\200\231s > 10,000
## 4891 Masterâ\200\231s > 10,000
## 4892 Doctoral 1000-9,999
## 4893 Masterâ\200\231s <NA>
## 4894 Bachelorâ\200\231s <NA>
## 4895 Professional 1000-9,999
## 4896 Doctoral 1000-9,999
## 4897 Doctoral <NA>
## 4898 Doctoral <NA>
## 4899 Bachelorâ\200\231s > 10,000
## 4900 Masterâ\200\231s 50-249
## 4901 Doctoral 0-49
## 4902 Doctoral 0-49
## 4903 Masterâ\200\231s 0-49
## 4904 Bachelorâ\200\231s <NA>
## 4905 Masterâ\200\231s 0-49
## 4906 Doctoral 0-49
## 4907 Bachelorâ\200\231s > 10,000
## 4908 Doctoral <NA>
## 4909 Bachelorâ\200\231s 0-49
## 4910 Bachelorâ\200\231s <NA>
## 4911 Doctoral > 10,000
## 4912 Masterâ\200\231s 50-249
## 4913 Masterâ\200\231s <NA>
## 4914 Doctoral > 10,000
## 4915 Doctoral 1000-9,999
## 4916 Bachelorâ\200\231s 50-249
## 4917 Doctoral 50-249
## 4918 Bachelorâ\200\231s > 10,000
## 4919 Bachelorâ\200\231s > 10,000
## 4920 Masterâ\200\231s > 10,000
## 4921 Doctoral 0-49
## 4922 Masterâ\200\231s 1000-9,999
## 4923 Doctoral 0-49
## 4924 Bachelorâ\200\231s 250-999
## 4925 Bachelorâ\200\231s <NA>
## 4926 Doctoral 0-49
## 4927 No formal education past high school 0-49
## 4928 Bachelorâ\200\231s > 10,000
## 4929 Professional 250-999
## 4930 Doctoral 50-249
## 4931 Bachelorâ\200\231s 50-249
## 4932 Masterâ\200\231s 0-49
## 4933 Bachelorâ\200\231s > 10,000
## 4934 Masterâ\200\231s > 10,000
## 4935 Masterâ\200\231s > 10,000
## 4936 Masterâ\200\231s 250-999
## 4937 Professional 0-49
## 4938 Bachelorâ\200\231s <NA>
## 4939 Masterâ\200\231s <NA>
## 4940 Bachelorâ\200\231s <NA>
## 4941 Bachelorâ\200\231s 1000-9,999
## 4942 Doctoral 0-49
## 4943 Masterâ\200\231s 50-249
## 4944 Doctoral 50-249
## 4945 Masterâ\200\231s > 10,000
## 4946 Bachelorâ\200\231s > 10,000
## 4947 Doctoral 0-49
## 4948 Masterâ\200\231s 1000-9,999
## 4949 Masterâ\200\231s > 10,000
## 4950 Bachelorâ\200\231s 0-49
## 4951 Doctoral 1000-9,999
## 4952 Masterâ\200\231s 1000-9,999
## 4953 Masterâ\200\231s 1000-9,999
## 4954 Bachelorâ\200\231s > 10,000
## 4955 Doctoral 1000-9,999
## 4956 Bachelorâ\200\231s 1000-9,999
## 4957 Bachelorâ\200\231s <NA>
## 4958 Bachelorâ\200\231s <NA>
## 4959 Masterâ\200\231s 0-49
## 4960 Bachelorâ\200\231s 0-49
## 4961 Bachelorâ\200\231s 1000-9,999
## 4962 Masterâ\200\231s 0-49
## 4963 Doctoral > 10,000
## 4964 Bachelorâ\200\231s <NA>
## 4965 Doctoral > 10,000
## 4966 Masterâ\200\231s 0-49
## 4967 Bachelorâ\200\231s 0-49
## 4968 Doctoral 0-49
## 4969 Doctoral 1000-9,999
## 4970 Masterâ\200\231s > 10,000
## 4971 Bachelorâ\200\231s <NA>
## 4972 Doctoral <NA>
## 4973 Bachelorâ\200\231s > 10,000
## 4974 Bachelorâ\200\231s > 10,000
## 4975 Masterâ\200\231s 0-49
## 4976 Doctoral > 10,000
## 4977 Masterâ\200\231s > 10,000
## 4978 Masterâ\200\231s 50-249
## 4979 Bachelorâ\200\231s 50-249
## 4980 Masterâ\200\231s 0-49
## 4981 Doctoral 1000-9,999
## 4982 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 4983 Doctoral 0-49
## 4984 Masterâ\200\231s 1000-9,999
## 4985 Bachelorâ\200\231s <NA>
## 4986 Masterâ\200\231s 1000-9,999
## 4987 Bachelorâ\200\231s 0-49
## 4988 Bachelorâ\200\231s > 10,000
## 4989 Bachelorâ\200\231s > 10,000
## 4990 Bachelorâ\200\231s 0-49
## 4991 Bachelorâ\200\231s > 10,000
## 4992 Masterâ\200\231s 250-999
## 4993 Doctoral 1000-9,999
## 4994 Bachelorâ\200\231s 250-999
## 4995 Doctoral > 10,000
## 4996 Masterâ\200\231s > 10,000
## 4997 Masterâ\200\231s > 10,000
## 4998 Masterâ\200\231s 0-49
## 4999 Masterâ\200\231s 250-999
## 5000 Masterâ\200\231s 0-49
## 5001 Bachelorâ\200\231s > 10,000
## 5002 Masterâ\200\231s 50-249
## 5003 Masterâ\200\231s 250-999
## 5004 Masterâ\200\231s 1000-9,999
## 5005 Bachelorâ\200\231s <NA>
## 5006 Bachelorâ\200\231s 1000-9,999
## 5007 Masterâ\200\231s 0-49
## 5008 Bachelorâ\200\231s > 10,000
## 5009 Bachelorâ\200\231s 1000-9,999
## 5010 Doctoral > 10,000
## 5011 Bachelorâ\200\231s 250-999
## 5012 Masterâ\200\231s > 10,000
## 5013 Bachelorâ\200\231s > 10,000
## 5014 Doctoral 1000-9,999
## 5015 Doctoral > 10,000
## 5016 Professional <NA>
## 5017 Masterâ\200\231s <NA>
## 5018 Doctoral 0-49
## 5019 Bachelorâ\200\231s 0-49
## 5020 Bachelorâ\200\231s > 10,000
## 5021 Bachelorâ\200\231s 1000-9,999
## 5022 Bachelorâ\200\231s <NA>
## 5023 Bachelorâ\200\231s 0-49
## 5024 Masterâ\200\231s 1000-9,999
## 5025 Doctoral <NA>
## 5026 Bachelorâ\200\231s <NA>
## 5027 Doctoral > 10,000
## 5028 Masterâ\200\231s 250-999
## 5029 Doctoral > 10,000
## 5030 Bachelorâ\200\231s 50-249
## 5031 Bachelorâ\200\231s 0-49
## 5032 Bachelorâ\200\231s 50-249
## 5033 Bachelorâ\200\231s > 10,000
## 5034 Bachelorâ\200\231s <NA>
## 5035 Masterâ\200\231s 1000-9,999
## 5036 Masterâ\200\231s 0-49
## 5037 Bachelorâ\200\231s <NA>
## 5038 Masterâ\200\231s > 10,000
## 5039 Masterâ\200\231s > 10,000
## 5040 Bachelorâ\200\231s 0-49
## 5041 Doctoral 50-249
## 5042 Masterâ\200\231s 1000-9,999
## 5043 Masterâ\200\231s 0-49
## 5044 Bachelorâ\200\231s <NA>
## 5045 Bachelorâ\200\231s 1000-9,999
## 5046 Masterâ\200\231s <NA>
## 5047 Bachelorâ\200\231s <NA>
## 5048 Masterâ\200\231s <NA>
## 5049 Doctoral 250-999
## 5050 Doctoral 50-249
## 5051 Bachelorâ\200\231s > 10,000
## 5052 Masterâ\200\231s 0-49
## 5053 No formal education past high school <NA>
## 5054 Doctoral 0-49
## 5055 Masterâ\200\231s > 10,000
## 5056 Masterâ\200\231s > 10,000
## 5057 Doctoral 50-249
## 5058 Bachelorâ\200\231s 0-49
## 5059 Masterâ\200\231s > 10,000
## 5060 Professional 250-999
## 5061 Masterâ\200\231s <NA>
## 5062 Bachelorâ\200\231s 50-249
## 5063 Masterâ\200\231s <NA>
## 5064 Masterâ\200\231s 0-49
## 5065 Masterâ\200\231s <NA>
## 5066 Masterâ\200\231s <NA>
## 5067 Masterâ\200\231s > 10,000
## 5068 Masterâ\200\231s 250-999
## 5069 Doctoral 0-49
## 5070 Bachelorâ\200\231s <NA>
## 5071 Masterâ\200\231s 1000-9,999
## 5072 Masterâ\200\231s 1000-9,999
## 5073 Doctoral 250-999
## 5074 Bachelorâ\200\231s <NA>
## 5075 Masterâ\200\231s 250-999
## 5076 Doctoral <NA>
## 5077 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 5078 Masterâ\200\231s <NA>
## 5079 Bachelorâ\200\231s 250-999
## 5080 Bachelorâ\200\231s <NA>
## 5081 Masterâ\200\231s > 10,000
## 5082 Bachelorâ\200\231s 50-249
## 5083 Masterâ\200\231s <NA>
## 5084 Bachelorâ\200\231s <NA>
## 5085 Masterâ\200\231s 50-249
## 5086 Doctoral 250-999
## 5087 Masterâ\200\231s <NA>
## 5088 No formal education past high school <NA>
## 5089 Masterâ\200\231s > 10,000
## 5090 Masterâ\200\231s 50-249
## 5091 Bachelorâ\200\231s <NA>
## 5092 Masterâ\200\231s 0-49
## 5093 Professional 50-249
## 5094 Masterâ\200\231s <NA>
## 5095 Bachelorâ\200\231s 0-49
## 5096 No formal education past high school 1000-9,999
## 5097 Bachelorâ\200\231s > 10,000
## 5098 Bachelorâ\200\231s > 10,000
## 5099 Masterâ\200\231s 0-49
## 5100 Masterâ\200\231s > 10,000
## 5101 Bachelorâ\200\231s <NA>
## 5102 Doctoral 0-49
## 5103 Masterâ\200\231s 50-249
## 5104 Masterâ\200\231s 0-49
## 5105 Masterâ\200\231s 1000-9,999
## 5106 Bachelorâ\200\231s 0-49
## 5107 Masterâ\200\231s 50-249
## 5108 Doctoral 0-49
## 5109 Masterâ\200\231s 50-249
## 5110 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 5111 I prefer not to answer 250-999
## 5112 Professional 1000-9,999
## 5113 Doctoral 0-49
## 5114 Masterâ\200\231s 0-49
## 5115 Doctoral > 10,000
## 5116 Masterâ\200\231s 250-999
## 5117 Masterâ\200\231s 250-999
## 5118 Bachelorâ\200\231s 0-49
## 5119 Bachelorâ\200\231s <NA>
## 5120 Masterâ\200\231s > 10,000
## 5121 Masterâ\200\231s <NA>
## 5122 Bachelorâ\200\231s <NA>
## 5123 Bachelorâ\200\231s 50-249
## 5124 Masterâ\200\231s 50-249
## 5125 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 5126 Masterâ\200\231s 1000-9,999
## 5127 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 5128 Bachelorâ\200\231s 0-49
## 5129 Bachelorâ\200\231s 0-49
## 5130 Masterâ\200\231s 0-49
## 5131 Masterâ\200\231s 0-49
## 5132 Masterâ\200\231s 0-49
## 5133 Masterâ\200\231s <NA>
## 5134 Masterâ\200\231s 1000-9,999
## 5135 Masterâ\200\231s 250-999
## 5136 Masterâ\200\231s 50-249
## 5137 Bachelorâ\200\231s <NA>
## 5138 No formal education past high school <NA>
## 5139 Masterâ\200\231s > 10,000
## 5140 Masterâ\200\231s 1000-9,999
## 5141 Professional <NA>
## 5142 Bachelorâ\200\231s <NA>
## 5143 Doctoral > 10,000
## 5144 Masterâ\200\231s 0-49
## 5145 Masterâ\200\231s <NA>
## 5146 Doctoral 0-49
## 5147 Masterâ\200\231s 250-999
## 5148 Doctoral 250-999
## 5149 Bachelorâ\200\231s 1000-9,999
## 5150 Bachelorâ\200\231s <NA>
## 5151 Doctoral > 10,000
## 5152 Masterâ\200\231s 50-249
## 5153 Masterâ\200\231s 50-249
## 5154 Doctoral 250-999
## 5155 Bachelorâ\200\231s 50-249
## 5156 Bachelorâ\200\231s 50-249
## 5157 Masterâ\200\231s > 10,000
## 5158 Masterâ\200\231s 0-49
## 5159 Masterâ\200\231s <NA>
## 5160 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 5161 Masterâ\200\231s 50-249
## 5162 Bachelorâ\200\231s 50-249
## 5163 Masterâ\200\231s 1000-9,999
## 5164 Bachelorâ\200\231s 0-49
## 5165 Masterâ\200\231s > 10,000
## 5166 Doctoral 250-999
## 5167 Bachelorâ\200\231s 0-49
## 5168 Masterâ\200\231s 1000-9,999
## 5169 Bachelorâ\200\231s 0-49
## 5170 Doctoral 0-49
## 5171 Bachelorâ\200\231s > 10,000
## 5172 Masterâ\200\231s 0-49
## 5173 Doctoral 50-249
## 5174 Bachelorâ\200\231s 0-49
## 5175 Masterâ\200\231s 50-249
## 5176 Bachelorâ\200\231s > 10,000
## 5177 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 5178 Doctoral 1000-9,999
## 5179 Masterâ\200\231s 1000-9,999
## 5180 Masterâ\200\231s 0-49
## 5181 Doctoral 1000-9,999
## 5182 Masterâ\200\231s 50-249
## 5183 Doctoral 50-249
## 5184 Masterâ\200\231s 250-999
## 5185 Masterâ\200\231s > 10,000
## 5186 Doctoral 50-249
## 5187 Masterâ\200\231s 250-999
## 5188 Doctoral <NA>
## 5189 Masterâ\200\231s <NA>
## 5190 Doctoral > 10,000
## 5191 Bachelorâ\200\231s 50-249
## 5192 Bachelorâ\200\231s <NA>
## 5193 Doctoral 0-49
## 5194 Masterâ\200\231s > 10,000
## 5195 Doctoral > 10,000
## 5196 Bachelorâ\200\231s <NA>
## 5197 Masterâ\200\231s > 10,000
## 5198 Doctoral 50-249
## 5199 Doctoral 1000-9,999
## 5200 Professional 1000-9,999
## 5201 Masterâ\200\231s > 10,000
## 5202 Bachelorâ\200\231s <NA>
## 5203 Masterâ\200\231s 0-49
## 5204 Doctoral > 10,000
## 5205 Bachelorâ\200\231s > 10,000
## 5206 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 5207 Masterâ\200\231s 0-49
## 5208 Doctoral <NA>
## 5209 Doctoral 0-49
## 5210 Professional 1000-9,999
## 5211 Masterâ\200\231s 0-49
## 5212 Bachelorâ\200\231s 0-49
## 5213 Masterâ\200\231s 250-999
## 5214 Doctoral > 10,000
## 5215 Masterâ\200\231s 1000-9,999
## 5216 Doctoral 1000-9,999
## 5217 Bachelorâ\200\231s <NA>
## 5218 Masterâ\200\231s > 10,000
## 5219 Masterâ\200\231s 250-999
## 5220 Masterâ\200\231s 0-49
## 5221 Masterâ\200\231s > 10,000
## 5222 Masterâ\200\231s 0-49
## 5223 Masterâ\200\231s 250-999
## 5224 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 5225 Bachelorâ\200\231s <NA>
## 5226 Doctoral > 10,000
## 5227 Masterâ\200\231s > 10,000
## 5228 Doctoral > 10,000
## 5229 Masterâ\200\231s <NA>
## 5230 Bachelorâ\200\231s > 10,000
## 5231 Doctoral > 10,000
## 5232 Masterâ\200\231s 50-249
## 5233 Doctoral 1000-9,999
## 5234 Doctoral 1000-9,999
## 5235 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 5236 Masterâ\200\231s 0-49
## 5237 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 5238 Masterâ\200\231s 0-49
## 5239 Professional 0-49
## 5240 Masterâ\200\231s 50-249
## 5241 Masterâ\200\231s > 10,000
## 5242 Masterâ\200\231s 250-999
## 5243 Masterâ\200\231s > 10,000
## 5244 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 5245 Bachelorâ\200\231s 0-49
## 5246 Doctoral 1000-9,999
## 5247 Bachelorâ\200\231s <NA>
## 5248 Masterâ\200\231s <NA>
## 5249 Doctoral <NA>
## 5250 Bachelorâ\200\231s > 10,000
## 5251 Professional > 10,000
## 5252 Masterâ\200\231s 0-49
## 5253 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 5254 Doctoral 0-49
## 5255 Masterâ\200\231s 0-49
## 5256 Bachelorâ\200\231s 50-249
## 5257 Masterâ\200\231s 50-249
## 5258 Masterâ\200\231s 50-249
## 5259 Bachelorâ\200\231s > 10,000
## 5260 Masterâ\200\231s <NA>
## 5261 Masterâ\200\231s <NA>
## 5262 Doctoral 1000-9,999
## 5263 Masterâ\200\231s 1000-9,999
## 5264 Doctoral > 10,000
## 5265 Masterâ\200\231s > 10,000
## 5266 Doctoral 250-999
## 5267 Doctoral 50-249
## 5268 Masterâ\200\231s 1000-9,999
## 5269 Masterâ\200\231s 0-49
## 5270 Doctoral 50-249
## 5271 Bachelorâ\200\231s 250-999
## 5272 Masterâ\200\231s 50-249
## 5273 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 5274 Masterâ\200\231s 250-999
## 5275 Masterâ\200\231s 250-999
## 5276 Bachelorâ\200\231s <NA>
## 5277 Doctoral 1000-9,999
## 5278 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 5279 Bachelorâ\200\231s <NA>
## 5280 Doctoral 50-249
## 5281 Masterâ\200\231s <NA>
## 5282 Doctoral 1000-9,999
## 5283 Masterâ\200\231s 50-249
## 5284 Masterâ\200\231s > 10,000
## 5285 Bachelorâ\200\231s 1000-9,999
## 5286 Doctoral > 10,000
## 5287 Doctoral 50-249
## 5288 Doctoral <NA>
## 5289 Doctoral 0-49
## 5290 Doctoral 1000-9,999
## 5291 Doctoral 50-249
## 5292 Bachelorâ\200\231s 0-49
## 5293 Masterâ\200\231s 250-999
## 5294 Masterâ\200\231s <NA>
## 5295 Masterâ\200\231s > 10,000
## 5296 Bachelorâ\200\231s 50-249
## 5297 Masterâ\200\231s 0-49
## 5298 Doctoral 250-999
## 5299 Bachelorâ\200\231s 0-49
## 5300 Masterâ\200\231s > 10,000
## 5301 Masterâ\200\231s <NA>
## 5302 Masterâ\200\231s 250-999
## 5303 Doctoral 0-49
## 5304 Bachelorâ\200\231s 50-249
## 5305 Masterâ\200\231s <NA>
## 5306 Masterâ\200\231s 50-249
## 5307 Bachelorâ\200\231s 0-49
## 5308 Bachelorâ\200\231s <NA>
## 5309 Masterâ\200\231s > 10,000
## 5310 Masterâ\200\231s 1000-9,999
## 5311 Bachelorâ\200\231s 50-249
## 5312 Doctoral 1000-9,999
## 5313 Bachelorâ\200\231s 250-999
## 5314 Masterâ\200\231s 50-249
## 5315 Bachelorâ\200\231s > 10,000
## 5316 Masterâ\200\231s 1000-9,999
## 5317 Masterâ\200\231s 1000-9,999
## 5318 Masterâ\200\231s > 10,000
## 5319 Bachelorâ\200\231s <NA>
## 5320 Masterâ\200\231s <NA>
## 5321 Masterâ\200\231s 0-49
## 5322 Masterâ\200\231s <NA>
## 5323 Masterâ\200\231s > 10,000
## 5324 Bachelorâ\200\231s 50-249
## 5325 Doctoral > 10,000
## 5326 Doctoral > 10,000
## 5327 Masterâ\200\231s 1000-9,999
## 5328 Masterâ\200\231s <NA>
## 5329 Masterâ\200\231s 50-249
## 5330 Doctoral 0-49
## 5331 Masterâ\200\231s 50-249
## 5332 Bachelorâ\200\231s 0-49
## 5333 Masterâ\200\231s <NA>
## 5334 Masterâ\200\231s > 10,000
## 5335 Doctoral 1000-9,999
## 5336 Bachelorâ\200\231s 0-49
## 5337 Bachelorâ\200\231s <NA>
## 5338 Masterâ\200\231s 250-999
## 5339 Doctoral 0-49
## 5340 Masterâ\200\231s 1000-9,999
## 5341 Bachelorâ\200\231s > 10,000
## 5342 Masterâ\200\231s 1000-9,999
## 5343 Masterâ\200\231s <NA>
## 5344 Masterâ\200\231s 0-49
## 5345 Bachelorâ\200\231s > 10,000
## 5346 Doctoral 250-999
## 5347 Bachelorâ\200\231s > 10,000
## 5348 Masterâ\200\231s 0-49
## 5349 Bachelorâ\200\231s <NA>
## 5350 Professional 50-249
## 5351 Masterâ\200\231s 50-249
## 5352 Bachelorâ\200\231s 250-999
## 5353 Masterâ\200\231s <NA>
## 5354 Masterâ\200\231s 1000-9,999
## 5355 Masterâ\200\231s 1000-9,999
## 5356 Masterâ\200\231s > 10,000
## 5357 Doctoral > 10,000
## 5358 Masterâ\200\231s 0-49
## 5359 Bachelorâ\200\231s 0-49
## 5360 Professional 0-49
## 5361 Doctoral 1000-9,999
## 5362 Masterâ\200\231s <NA>
## 5363 Masterâ\200\231s > 10,000
## 5364 Bachelorâ\200\231s <NA>
## 5365 I prefer not to answer <NA>
## 5366 Masterâ\200\231s 50-249
## 5367 Masterâ\200\231s 1000-9,999
## 5368 Masterâ\200\231s <NA>
## 5369 Bachelorâ\200\231s 250-999
## 5370 Doctoral 250-999
## 5371 Professional > 10,000
## 5372 I prefer not to answer 0-49
## 5373 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 5374 Bachelorâ\200\231s 0-49
## 5375 Bachelorâ\200\231s > 10,000
## 5376 Bachelorâ\200\231s <NA>
## 5377 Bachelorâ\200\231s <NA>
## 5378 Bachelorâ\200\231s <NA>
## 5379 Bachelorâ\200\231s 250-999
## 5380 Bachelorâ\200\231s <NA>
## 5381 Masterâ\200\231s 0-49
## 5382 I prefer not to answer 1000-9,999
## 5383 Bachelorâ\200\231s 0-49
## 5384 Masterâ\200\231s 250-999
## 5385 Bachelorâ\200\231s 1000-9,999
## 5386 Bachelorâ\200\231s 1000-9,999
## 5387 Masterâ\200\231s 50-249
## 5388 Masterâ\200\231s > 10,000
## 5389 Doctoral 1000-9,999
## 5390 Masterâ\200\231s 1000-9,999
## 5391 Doctoral 50-249
## 5392 Masterâ\200\231s <NA>
## 5393 Bachelorâ\200\231s <NA>
## 5394 Masterâ\200\231s <NA>
## 5395 Masterâ\200\231s 50-249
## 5396 Bachelorâ\200\231s 50-249
## 5397 Bachelorâ\200\231s 0-49
## 5398 Bachelorâ\200\231s 50-249
## 5399 Bachelorâ\200\231s 0-49
## 5400 Masterâ\200\231s 0-49
## 5401 Masterâ\200\231s > 10,000
## 5402 Masterâ\200\231s > 10,000
## 5403 Masterâ\200\231s > 10,000
## 5404 Masterâ\200\231s 250-999
## 5405 Bachelorâ\200\231s 50-249
## 5406 Masterâ\200\231s <NA>
## 5407 Bachelorâ\200\231s <NA>
## 5408 Bachelorâ\200\231s 50-249
## 5409 Masterâ\200\231s 250-999
## 5410 Bachelorâ\200\231s 1000-9,999
## 5411 Masterâ\200\231s 250-999
## 5412 Masterâ\200\231s 1000-9,999
## 5413 Masterâ\200\231s 50-249
## 5414 Masterâ\200\231s <NA>
## 5415 Masterâ\200\231s > 10,000
## 5416 Masterâ\200\231s 50-249
## 5417 Masterâ\200\231s 250-999
## 5418 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 5419 Masterâ\200\231s 50-249
## 5420 Doctoral 250-999
## 5421 Bachelorâ\200\231s <NA>
## 5422 I prefer not to answer <NA>
## 5423 Doctoral 250-999
## 5424 Bachelorâ\200\231s > 10,000
## 5425 Doctoral > 10,000
## 5426 Masterâ\200\231s 50-249
## 5427 Doctoral <NA>
## 5428 Masterâ\200\231s > 10,000
## 5429 Masterâ\200\231s 1000-9,999
## 5430 Masterâ\200\231s 0-49
## 5431 Bachelorâ\200\231s 0-49
## 5432 Masterâ\200\231s 1000-9,999
## 5433 Masterâ\200\231s > 10,000
## 5434 Masterâ\200\231s <NA>
## 5435 I prefer not to answer 50-249
## 5436 Masterâ\200\231s > 10,000
## 5437 Masterâ\200\231s <NA>
## 5438 Doctoral 1000-9,999
## 5439 Doctoral 0-49
## 5440 Bachelorâ\200\231s 0-49
## 5441 Masterâ\200\231s 50-249
## 5442 Masterâ\200\231s <NA>
## 5443 Doctoral <NA>
## 5444 Masterâ\200\231s > 10,000
## 5445 Masterâ\200\231s > 10,000
## 5446 Masterâ\200\231s <NA>
## 5447 Bachelorâ\200\231s <NA>
## 5448 Bachelorâ\200\231s 0-49
## 5449 Bachelorâ\200\231s 1000-9,999
## 5450 Bachelorâ\200\231s 250-999
## 5451 Masterâ\200\231s 250-999
## 5452 Doctoral > 10,000
## 5453 Doctoral 50-249
## 5454 Masterâ\200\231s > 10,000
## 5455 Masterâ\200\231s > 10,000
## 5456 Masterâ\200\231s > 10,000
## 5457 Doctoral 250-999
## 5458 Bachelorâ\200\231s 250-999
## 5459 Bachelorâ\200\231s > 10,000
## 5460 Masterâ\200\231s 50-249
## 5461 Masterâ\200\231s 50-249
## 5462 No formal education past high school 1000-9,999
## 5463 Masterâ\200\231s <NA>
## 5464 Bachelorâ\200\231s 0-49
## 5465 Masterâ\200\231s 1000-9,999
## 5466 Bachelorâ\200\231s 0-49
## 5467 Masterâ\200\231s 1000-9,999
## 5468 Bachelorâ\200\231s <NA>
## 5469 Doctoral > 10,000
## 5470 Masterâ\200\231s 0-49
## 5471 Masterâ\200\231s 250-999
## 5472 Masterâ\200\231s <NA>
## 5473 Masterâ\200\231s 1000-9,999
## 5474 Bachelorâ\200\231s <NA>
## 5475 Masterâ\200\231s 1000-9,999
## 5476 Doctoral 250-999
## 5477 Doctoral 0-49
## 5478 Masterâ\200\231s > 10,000
## 5479 Doctoral 0-49
## 5480 Masterâ\200\231s 250-999
## 5481 Doctoral > 10,000
## 5482 Doctoral 250-999
## 5483 Doctoral 0-49
## 5484 Professional <NA>
## 5485 Masterâ\200\231s 250-999
## 5486 Masterâ\200\231s <NA>
## 5487 Doctoral 250-999
## 5488 No formal education past high school 0-49
## 5489 Doctoral 250-999
## 5490 Masterâ\200\231s 50-249
## 5491 Masterâ\200\231s 0-49
## 5492 Bachelorâ\200\231s 0-49
## 5493 Bachelorâ\200\231s 50-249
## 5494 Professional 1000-9,999
## 5495 Masterâ\200\231s 0-49
## 5496 Masterâ\200\231s 50-249
## 5497 Bachelorâ\200\231s 50-249
## 5498 Masterâ\200\231s 250-999
## 5499 Bachelorâ\200\231s <NA>
## 5500 Masterâ\200\231s <NA>
## 5501 Masterâ\200\231s <NA>
## 5502 Bachelorâ\200\231s 1000-9,999
## 5503 Doctoral 0-49
## 5504 Bachelorâ\200\231s > 10,000
## 5505 Bachelorâ\200\231s 1000-9,999
## 5506 Bachelorâ\200\231s 0-49
## 5507 Masterâ\200\231s 0-49
## 5508 Bachelorâ\200\231s 50-249
## 5509 Bachelorâ\200\231s > 10,000
## 5510 Masterâ\200\231s 0-49
## 5511 Bachelorâ\200\231s 50-249
## 5512 Masterâ\200\231s 250-999
## 5513 Bachelorâ\200\231s <NA>
## 5514 Masterâ\200\231s <NA>
## 5515 Bachelorâ\200\231s > 10,000
## 5516 Masterâ\200\231s 50-249
## 5517 Bachelorâ\200\231s 250-999
## 5518 Doctoral 250-999
## 5519 Doctoral 50-249
## 5520 Masterâ\200\231s > 10,000
## 5521 Bachelorâ\200\231s 250-999
## 5522 Bachelorâ\200\231s 50-249
## 5523 Masterâ\200\231s > 10,000
## 5524 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 5525 Masterâ\200\231s > 10,000
## 5526 Doctoral 0-49
## 5527 Doctoral <NA>
## 5528 Bachelorâ\200\231s > 10,000
## 5529 Masterâ\200\231s <NA>
## 5530 Bachelorâ\200\231s 1000-9,999
## 5531 Masterâ\200\231s <NA>
## 5532 Professional <NA>
## 5533 Doctoral 1000-9,999
## 5534 Masterâ\200\231s 0-49
## 5535 Masterâ\200\231s 50-249
## 5536 Doctoral > 10,000
## 5537 Masterâ\200\231s 0-49
## 5538 Doctoral 50-249
## 5539 Masterâ\200\231s <NA>
## 5540 Bachelorâ\200\231s <NA>
## 5541 Masterâ\200\231s > 10,000
## 5542 Masterâ\200\231s > 10,000
## 5543 Masterâ\200\231s > 10,000
## 5544 Bachelorâ\200\231s 0-49
## 5545 Masterâ\200\231s 50-249
## 5546 Bachelorâ\200\231s <NA>
## 5547 Bachelorâ\200\231s 0-49
## 5548 Masterâ\200\231s > 10,000
## 5549 Bachelorâ\200\231s 1000-9,999
## 5550 Masterâ\200\231s 50-249
## 5551 Bachelorâ\200\231s 250-999
## 5552 Bachelorâ\200\231s <NA>
## 5553 Masterâ\200\231s > 10,000
## 5554 Bachelorâ\200\231s <NA>
## 5555 Masterâ\200\231s 0-49
## 5556 Doctoral <NA>
## 5557 Bachelorâ\200\231s > 10,000
## 5558 Masterâ\200\231s > 10,000
## 5559 Doctoral 0-49
## 5560 Bachelorâ\200\231s <NA>
## 5561 Masterâ\200\231s <NA>
## 5562 Bachelorâ\200\231s 50-249
## 5563 Masterâ\200\231s 0-49
## 5564 Bachelorâ\200\231s <NA>
## 5565 Doctoral 1000-9,999
## 5566 Masterâ\200\231s 50-249
## 5567 Doctoral 250-999
## 5568 Masterâ\200\231s <NA>
## 5569 Doctoral <NA>
## 5570 I prefer not to answer 50-249
## 5571 Masterâ\200\231s <NA>
## 5572 Professional 0-49
## 5573 Bachelorâ\200\231s 1000-9,999
## 5574 Doctoral 1000-9,999
## 5575 Masterâ\200\231s 250-999
## 5576 Masterâ\200\231s 0-49
## 5577 Masterâ\200\231s 1000-9,999
## 5578 No formal education past high school <NA>
## 5579 Masterâ\200\231s <NA>
## 5580 Masterâ\200\231s 1000-9,999
## 5581 Masterâ\200\231s 1000-9,999
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## 5583 Masterâ\200\231s <NA>
## 5584 Masterâ\200\231s <NA>
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## 5586 Masterâ\200\231s 250-999
## 5587 Masterâ\200\231s 0-49
## 5588 Masterâ\200\231s 250-999
## 5589 Doctoral 250-999
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## 5591 Bachelorâ\200\231s 1000-9,999
## 5592 Bachelorâ\200\231s <NA>
## 5593 Doctoral 0-49
## 5594 Doctoral <NA>
## 5595 Doctoral 1000-9,999
## 5596 Bachelorâ\200\231s 250-999
## 5597 Bachelorâ\200\231s 1000-9,999
## 5598 Doctoral <NA>
## 5599 Bachelorâ\200\231s <NA>
## 5600 Masterâ\200\231s 250-999
## 5601 Bachelorâ\200\231s <NA>
## 5602 Doctoral 1000-9,999
## 5603 Masterâ\200\231s 0-49
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## 5605 Masterâ\200\231s <NA>
## 5606 Masterâ\200\231s 250-999
## 5607 Professional > 10,000
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## 5609 Bachelorâ\200\231s 0-49
## 5610 Bachelorâ\200\231s 0-49
## 5611 Bachelorâ\200\231s 1000-9,999
## 5612 Bachelorâ\200\231s <NA>
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## 5615 Masterâ\200\231s > 10,000
## 5616 Bachelorâ\200\231s 0-49
## 5617 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 5618 Bachelorâ\200\231s <NA>
## 5619 Bachelorâ\200\231s <NA>
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## 5621 Bachelorâ\200\231s <NA>
## 5622 Bachelorâ\200\231s 0-49
## 5623 Masterâ\200\231s 0-49
## 5624 Bachelorâ\200\231s <NA>
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## 5634 Bachelorâ\200\231s 50-249
## 5635 Masterâ\200\231s > 10,000
## 5636 Masterâ\200\231s <NA>
## 5637 Bachelorâ\200\231s <NA>
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## 5639 Professional > 10,000
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## 5641 Doctoral 250-999
## 5642 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 5643 Bachelorâ\200\231s <NA>
## 5644 Masterâ\200\231s <NA>
## 5645 Masterâ\200\231s 50-249
## 5646 Masterâ\200\231s 0-49
## 5647 Masterâ\200\231s 250-999
## 5648 Doctoral <NA>
## 5649 Doctoral <NA>
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## 5651 Doctoral 50-249
## 5652 Doctoral 250-999
## 5653 No formal education past high school <NA>
## 5654 Bachelorâ\200\231s 0-49
## 5655 No formal education past high school 50-249
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## 5657 Masterâ\200\231s <NA>
## 5658 Bachelorâ\200\231s <NA>
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## 5663 Doctoral 50-249
## 5664 Masterâ\200\231s > 10,000
## 5665 Bachelorâ\200\231s > 10,000
## 5666 Masterâ\200\231s <NA>
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## 5668 Bachelorâ\200\231s > 10,000
## 5669 Bachelorâ\200\231s > 10,000
## 5670 Professional 0-49
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## 5672 Bachelorâ\200\231s <NA>
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## 5674 Masterâ\200\231s 0-49
## 5675 Doctoral 0-49
## 5676 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 5677 Bachelorâ\200\231s <NA>
## 5678 Masterâ\200\231s 0-49
## 5679 Bachelorâ\200\231s 50-249
## 5680 Masterâ\200\231s <NA>
## 5681 <NA> <NA>
## 5682 Bachelorâ\200\231s 50-249
## 5683 Bachelorâ\200\231s > 10,000
## 5684 Masterâ\200\231s 0-49
## 5685 Masterâ\200\231s 0-49
## 5686 Bachelorâ\200\231s <NA>
## 5687 Masterâ\200\231s 0-49
## 5688 Doctoral 0-49
## 5689 Bachelorâ\200\231s 1000-9,999
## 5690 Masterâ\200\231s 0-49
## 5691 Masterâ\200\231s 1000-9,999
## 5692 Masterâ\200\231s 250-999
## 5693 Bachelorâ\200\231s <NA>
## 5694 Bachelorâ\200\231s <NA>
## 5695 Bachelorâ\200\231s 250-999
## 5696 Bachelorâ\200\231s 250-999
## 5697 Masterâ\200\231s 1000-9,999
## 5698 Bachelorâ\200\231s > 10,000
## 5699 Doctoral 0-49
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## 5701 Bachelorâ\200\231s <NA>
## 5702 Masterâ\200\231s > 10,000
## 5703 Bachelorâ\200\231s <NA>
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## 5705 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 5706 Bachelorâ\200\231s 1000-9,999
## 5707 Bachelorâ\200\231s 250-999
## 5708 Masterâ\200\231s > 10,000
## 5709 Bachelorâ\200\231s 0-49
## 5710 Bachelorâ\200\231s 0-49
## 5711 Masterâ\200\231s 50-249
## 5712 Bachelorâ\200\231s > 10,000
## 5713 Masterâ\200\231s > 10,000
## 5714 Bachelorâ\200\231s > 10,000
## 5715 Masterâ\200\231s > 10,000
## 5716 Masterâ\200\231s 0-49
## 5717 Masterâ\200\231s > 10,000
## 5718 Doctoral 0-49
## 5719 Masterâ\200\231s 50-249
## 5720 Bachelorâ\200\231s <NA>
## 5721 Bachelorâ\200\231s <NA>
## 5722 Masterâ\200\231s 50-249
## 5723 Bachelorâ\200\231s 250-999
## 5724 Bachelorâ\200\231s > 10,000
## 5725 Bachelorâ\200\231s <NA>
## 5726 Bachelorâ\200\231s <NA>
## 5727 Masterâ\200\231s 0-49
## 5728 Bachelorâ\200\231s <NA>
## 5729 Masterâ\200\231s 0-49
## 5730 Bachelorâ\200\231s > 10,000
## 5731 Bachelorâ\200\231s 1000-9,999
## 5732 Doctoral <NA>
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## 5734 Bachelorâ\200\231s 250-999
## 5735 Bachelorâ\200\231s 1000-9,999
## 5736 Masterâ\200\231s 0-49
## 5737 Bachelorâ\200\231s 1000-9,999
## 5738 Masterâ\200\231s 0-49
## 5739 Bachelorâ\200\231s > 10,000
## 5740 Masterâ\200\231s 0-49
## 5741 Bachelorâ\200\231s > 10,000
## 5742 Bachelorâ\200\231s <NA>
## 5743 Bachelorâ\200\231s 50-249
## 5744 Masterâ\200\231s 0-49
## 5745 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 5746 Masterâ\200\231s 250-999
## 5747 Bachelorâ\200\231s <NA>
## 5748 Masterâ\200\231s <NA>
## 5749 Masterâ\200\231s 1000-9,999
## 5750 Bachelorâ\200\231s 0-49
## 5751 Masterâ\200\231s <NA>
## 5752 Masterâ\200\231s > 10,000
## 5753 I prefer not to answer 0-49
## 5754 No formal education past high school 50-249
## 5755 Masterâ\200\231s <NA>
## 5756 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 5757 Bachelorâ\200\231s > 10,000
## 5758 Masterâ\200\231s 1000-9,999
## 5759 Masterâ\200\231s 50-249
## 5760 Bachelorâ\200\231s <NA>
## 5761 Masterâ\200\231s <NA>
## 5762 Masterâ\200\231s > 10,000
## 5763 Masterâ\200\231s <NA>
## 5764 Doctoral <NA>
## 5765 Bachelorâ\200\231s 1000-9,999
## 5766 Masterâ\200\231s > 10,000
## 5767 Masterâ\200\231s > 10,000
## 5768 Bachelorâ\200\231s <NA>
## 5769 Bachelorâ\200\231s <NA>
## 5770 Masterâ\200\231s > 10,000
## 5771 Bachelorâ\200\231s 0-49
## 5772 Masterâ\200\231s 50-249
## 5773 Doctoral 250-999
## 5774 Masterâ\200\231s 1000-9,999
## 5775 Masterâ\200\231s 250-999
## 5776 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 5777 Masterâ\200\231s 0-49
## 5778 Bachelorâ\200\231s > 10,000
## 5779 Bachelorâ\200\231s <NA>
## 5780 Professional > 10,000
## 5781 Masterâ\200\231s 50-249
## 5782 Bachelorâ\200\231s 1000-9,999
## 5783 Doctoral > 10,000
## 5784 Masterâ\200\231s > 10,000
## 5785 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 5786 Bachelorâ\200\231s 50-249
## 5787 Masterâ\200\231s <NA>
## 5788 Masterâ\200\231s 50-249
## 5789 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 5790 Masterâ\200\231s <NA>
## 5791 Doctoral 0-49
## 5792 Masterâ\200\231s <NA>
## 5793 Bachelorâ\200\231s <NA>
## 5794 Masterâ\200\231s 0-49
## 5795 Masterâ\200\231s 0-49
## 5796 Bachelorâ\200\231s > 10,000
## 5797 Doctoral <NA>
## 5798 Doctoral 0-49
## 5799 Masterâ\200\231s 0-49
## 5800 Doctoral 250-999
## 5801 Masterâ\200\231s > 10,000
## 5802 Masterâ\200\231s <NA>
## 5803 Bachelorâ\200\231s <NA>
## 5804 Masterâ\200\231s 0-49
## 5805 Masterâ\200\231s 1000-9,999
## 5806 Bachelorâ\200\231s 250-999
## 5807 Masterâ\200\231s > 10,000
## 5808 Masterâ\200\231s > 10,000
## 5809 Masterâ\200\231s 250-999
## 5810 Masterâ\200\231s 0-49
## 5811 Masterâ\200\231s 250-999
## 5812 Masterâ\200\231s <NA>
## 5813 Masterâ\200\231s 250-999
## 5814 Doctoral > 10,000
## 5815 Bachelorâ\200\231s 1000-9,999
## 5816 Professional 1000-9,999
## 5817 Bachelorâ\200\231s 0-49
## 5818 Doctoral > 10,000
## 5819 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 5820 Masterâ\200\231s 1000-9,999
## 5821 Masterâ\200\231s > 10,000
## 5822 Masterâ\200\231s 0-49
## 5823 Bachelorâ\200\231s 1000-9,999
## 5824 Masterâ\200\231s > 10,000
## 5825 Bachelorâ\200\231s > 10,000
## 5826 Doctoral 0-49
## 5827 Masterâ\200\231s 50-249
## 5828 Masterâ\200\231s 0-49
## 5829 Masterâ\200\231s 1000-9,999
## 5830 Bachelorâ\200\231s 1000-9,999
## 5831 Masterâ\200\231s 0-49
## 5832 Doctoral <NA>
## 5833 Masterâ\200\231s <NA>
## 5834 Masterâ\200\231s 0-49
## 5835 Masterâ\200\231s <NA>
## 5836 Masterâ\200\231s > 10,000
## 5837 Doctoral 1000-9,999
## 5838 Bachelorâ\200\231s 0-49
## 5839 Masterâ\200\231s 250-999
## 5840 Bachelorâ\200\231s > 10,000
## 5841 Doctoral 250-999
## 5842 Bachelorâ\200\231s 250-999
## 5843 Doctoral 0-49
## 5844 Masterâ\200\231s > 10,000
## 5845 Doctoral 50-249
## 5846 Bachelorâ\200\231s 1000-9,999
## 5847 Masterâ\200\231s > 10,000
## 5848 Bachelorâ\200\231s <NA>
## 5849 Doctoral 250-999
## 5850 Masterâ\200\231s <NA>
## 5851 Masterâ\200\231s <NA>
## 5852 Doctoral 1000-9,999
## 5853 Bachelorâ\200\231s 1000-9,999
## 5854 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 5855 Masterâ\200\231s <NA>
## 5856 I prefer not to answer <NA>
## 5857 Masterâ\200\231s 0-49
## 5858 Masterâ\200\231s 50-249
## 5859 Bachelorâ\200\231s <NA>
## 5860 Bachelorâ\200\231s 0-49
## 5861 Masterâ\200\231s 1000-9,999
## 5862 Bachelorâ\200\231s 1000-9,999
## 5863 Bachelorâ\200\231s 50-249
## 5864 Doctoral 1000-9,999
## 5865 Bachelorâ\200\231s <NA>
## 5866 Masterâ\200\231s 1000-9,999
## 5867 Doctoral <NA>
## 5868 Doctoral 1000-9,999
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## 5871 Masterâ\200\231s > 10,000
## 5872 Masterâ\200\231s 250-999
## 5873 Masterâ\200\231s > 10,000
## 5874 Masterâ\200\231s <NA>
## 5875 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 5876 Masterâ\200\231s 50-249
## 5877 Doctoral 250-999
## 5878 Masterâ\200\231s > 10,000
## 5879 Masterâ\200\231s 0-49
## 5880 Masterâ\200\231s > 10,000
## 5881 Masterâ\200\231s 0-49
## 5882 Masterâ\200\231s > 10,000
## 5883 Masterâ\200\231s 0-49
## 5884 Bachelorâ\200\231s > 10,000
## 5885 Masterâ\200\231s 0-49
## 5886 Bachelorâ\200\231s <NA>
## 5887 Masterâ\200\231s 1000-9,999
## 5888 Masterâ\200\231s > 10,000
## 5889 Bachelorâ\200\231s 50-249
## 5890 Doctoral 1000-9,999
## 5891 Masterâ\200\231s > 10,000
## 5892 Masterâ\200\231s 1000-9,999
## 5893 Masterâ\200\231s 1000-9,999
## 5894 Masterâ\200\231s 0-49
## 5895 Doctoral 0-49
## 5896 Masterâ\200\231s <NA>
## 5897 Bachelorâ\200\231s <NA>
## 5898 Masterâ\200\231s 0-49
## 5899 Bachelorâ\200\231s <NA>
## 5900 Masterâ\200\231s 1000-9,999
## 5901 Masterâ\200\231s 250-999
## 5902 Doctoral 1000-9,999
## 5903 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 5904 Masterâ\200\231s 50-249
## 5905 Masterâ\200\231s <NA>
## 5906 Masterâ\200\231s 0-49
## 5907 Bachelorâ\200\231s 1000-9,999
## 5908 Bachelorâ\200\231s > 10,000
## 5909 Masterâ\200\231s 0-49
## 5910 Masterâ\200\231s 250-999
## 5911 Masterâ\200\231s 50-249
## 5912 Masterâ\200\231s 1000-9,999
## 5913 Doctoral 0-49
## 5914 Doctoral 250-999
## 5915 Doctoral > 10,000
## 5916 Masterâ\200\231s 50-249
## 5917 Bachelorâ\200\231s > 10,000
## 5918 Doctoral > 10,000
## 5919 Masterâ\200\231s 50-249
## 5920 Masterâ\200\231s 50-249
## 5921 Masterâ\200\231s 250-999
## 5922 Masterâ\200\231s 250-999
## 5923 Bachelorâ\200\231s 50-249
## 5924 Bachelorâ\200\231s <NA>
## 5925 Masterâ\200\231s 0-49
## 5926 Masterâ\200\231s <NA>
## 5927 Professional 1000-9,999
## 5928 Bachelorâ\200\231s <NA>
## 5929 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 5930 Masterâ\200\231s 0-49
## 5931 Doctoral 1000-9,999
## 5932 Masterâ\200\231s 50-249
## 5933 Masterâ\200\231s 1000-9,999
## 5934 Masterâ\200\231s 1000-9,999
## 5935 Bachelorâ\200\231s 50-249
## 5936 Bachelorâ\200\231s 0-49
## 5937 Doctoral 1000-9,999
## 5938 Doctoral 1000-9,999
## 5939 Bachelorâ\200\231s <NA>
## 5940 I prefer not to answer 50-249
## 5941 Masterâ\200\231s <NA>
## 5942 Bachelorâ\200\231s 1000-9,999
## 5943 Professional > 10,000
## 5944 Masterâ\200\231s 50-249
## 5945 Masterâ\200\231s <NA>
## 5946 Masterâ\200\231s > 10,000
## 5947 Masterâ\200\231s 50-249
## 5948 Masterâ\200\231s 1000-9,999
## 5949 Masterâ\200\231s <NA>
## 5950 Doctoral 1000-9,999
## 5951 Professional 0-49
## 5952 I prefer not to answer 1000-9,999
## 5953 Bachelorâ\200\231s 0-49
## 5954 Doctoral 0-49
## 5955 Bachelorâ\200\231s > 10,000
## 5956 Bachelorâ\200\231s 50-249
## 5957 Doctoral 1000-9,999
## 5958 Bachelorâ\200\231s 0-49
## 5959 Doctoral <NA>
## 5960 Bachelorâ\200\231s 1000-9,999
## 5961 Doctoral 1000-9,999
## 5962 Masterâ\200\231s 0-49
## 5963 Masterâ\200\231s 50-249
## 5964 Doctoral 250-999
## 5965 Masterâ\200\231s <NA>
## 5966 Bachelorâ\200\231s 1000-9,999
## 5967 Masterâ\200\231s 1000-9,999
## 5968 Masterâ\200\231s 0-49
## 5969 Masterâ\200\231s 250-999
## 5970 Masterâ\200\231s > 10,000
## 5971 Doctoral > 10,000
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## 5973 Bachelorâ\200\231s 250-999
## 5974 Masterâ\200\231s <NA>
## 5975 Masterâ\200\231s 0-49
## 5976 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 5977 Masterâ\200\231s 250-999
## 5978 Doctoral 0-49
## 5979 Masterâ\200\231s > 10,000
## 5980 Masterâ\200\231s <NA>
## 5981 Masterâ\200\231s 0-49
## 5982 Masterâ\200\231s > 10,000
## 5983 Masterâ\200\231s 0-49
## 5984 Bachelorâ\200\231s > 10,000
## 5985 Masterâ\200\231s > 10,000
## 5986 Masterâ\200\231s > 10,000
## 5987 Professional 0-49
## 5988 Bachelorâ\200\231s > 10,000
## 5989 Masterâ\200\231s > 10,000
## 5990 Bachelorâ\200\231s > 10,000
## 5991 Bachelorâ\200\231s > 10,000
## 5992 Doctoral 1000-9,999
## 5993 Bachelorâ\200\231s <NA>
## 5994 Bachelorâ\200\231s > 10,000
## 5995 Masterâ\200\231s 250-999
## 5996 Bachelorâ\200\231s <NA>
## 5997 Bachelorâ\200\231s 250-999
## 5998 Bachelorâ\200\231s 250-999
## 5999 Bachelorâ\200\231s <NA>
## 6000 Masterâ\200\231s <NA>
## 6001 Bachelorâ\200\231s <NA>
## 6002 Masterâ\200\231s 50-249
## 6003 Masterâ\200\231s <NA>
## 6004 Professional 1000-9,999
## 6005 Bachelorâ\200\231s > 10,000
## 6006 Masterâ\200\231s 0-49
## 6007 Masterâ\200\231s <NA>
## 6008 Masterâ\200\231s > 10,000
## 6009 Bachelorâ\200\231s 0-49
## 6010 Masterâ\200\231s > 10,000
## 6011 Doctoral > 10,000
## 6012 Masterâ\200\231s 0-49
## 6013 Bachelorâ\200\231s > 10,000
## 6014 Masterâ\200\231s 1000-9,999
## 6015 Bachelorâ\200\231s <NA>
## 6016 Doctoral 50-249
## 6017 Masterâ\200\231s 250-999
## 6018 Masterâ\200\231s <NA>
## 6019 Masterâ\200\231s <NA>
## 6020 Masterâ\200\231s <NA>
## 6021 Bachelorâ\200\231s <NA>
## 6022 I prefer not to answer > 10,000
## 6023 Masterâ\200\231s 50-249
## 6024 Doctoral 250-999
## 6025 Bachelorâ\200\231s 1000-9,999
## 6026 Masterâ\200\231s <NA>
## 6027 Masterâ\200\231s > 10,000
## 6028 Masterâ\200\231s > 10,000
## 6029 Masterâ\200\231s > 10,000
## 6030 Bachelorâ\200\231s 50-249
## 6031 Doctoral 1000-9,999
## 6032 Bachelorâ\200\231s <NA>
## 6033 Bachelorâ\200\231s > 10,000
## 6034 Masterâ\200\231s <NA>
## 6035 Bachelorâ\200\231s 0-49
## 6036 Doctoral 1000-9,999
## 6037 Masterâ\200\231s 1000-9,999
## 6038 Bachelorâ\200\231s <NA>
## 6039 Bachelorâ\200\231s > 10,000
## 6040 Bachelorâ\200\231s <NA>
## 6041 Bachelorâ\200\231s <NA>
## 6042 Masterâ\200\231s 1000-9,999
## 6043 Bachelorâ\200\231s <NA>
## 6044 Masterâ\200\231s 1000-9,999
## 6045 Masterâ\200\231s 50-249
## 6046 Bachelorâ\200\231s <NA>
## 6047 Bachelorâ\200\231s 50-249
## 6048 Doctoral 50-249
## 6049 Doctoral 0-49
## 6050 Bachelorâ\200\231s 1000-9,999
## 6051 Bachelorâ\200\231s 50-249
## 6052 Masterâ\200\231s 0-49
## 6053 Bachelorâ\200\231s > 10,000
## 6054 Bachelorâ\200\231s <NA>
## 6055 Bachelorâ\200\231s 0-49
## 6056 Doctoral <NA>
## 6057 Masterâ\200\231s 1000-9,999
## 6058 I prefer not to answer > 10,000
## 6059 Masterâ\200\231s 1000-9,999
## 6060 Masterâ\200\231s 0-49
## 6061 Bachelorâ\200\231s <NA>
## 6062 Bachelorâ\200\231s 0-49
## 6063 Doctoral 0-49
## 6064 Masterâ\200\231s > 10,000
## 6065 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 6066 Masterâ\200\231s 1000-9,999
## 6067 Masterâ\200\231s 1000-9,999
## 6068 Bachelorâ\200\231s 250-999
## 6069 Bachelorâ\200\231s <NA>
## 6070 Doctoral 1000-9,999
## 6071 Bachelorâ\200\231s 0-49
## 6072 Doctoral > 10,000
## 6073 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 6074 Masterâ\200\231s 50-249
## 6075 Bachelorâ\200\231s <NA>
## 6076 I prefer not to answer <NA>
## 6077 Doctoral 1000-9,999
## 6078 Masterâ\200\231s <NA>
## 6079 Masterâ\200\231s 0-49
## 6080 Doctoral 0-49
## 6081 Doctoral 1000-9,999
## 6082 Doctoral 250-999
## 6083 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 6084 Bachelorâ\200\231s 250-999
## 6085 Masterâ\200\231s <NA>
## 6086 Bachelorâ\200\231s <NA>
## 6087 Masterâ\200\231s <NA>
## 6088 Masterâ\200\231s 0-49
## 6089 Masterâ\200\231s 0-49
## 6090 Masterâ\200\231s 0-49
## 6091 Masterâ\200\231s 50-249
## 6092 Bachelorâ\200\231s <NA>
## 6093 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 6094 Masterâ\200\231s 250-999
## 6095 Masterâ\200\231s 1000-9,999
## 6096 Bachelorâ\200\231s 0-49
## 6097 Masterâ\200\231s 0-49
## 6098 Masterâ\200\231s 0-49
## 6099 Masterâ\200\231s <NA>
## 6100 Bachelorâ\200\231s 0-49
## 6101 Doctoral > 10,000
## 6102 Masterâ\200\231s <NA>
## 6103 Masterâ\200\231s <NA>
## 6104 Doctoral > 10,000
## 6105 Masterâ\200\231s 50-249
## 6106 Masterâ\200\231s <NA>
## 6107 Doctoral 50-249
## 6108 Doctoral <NA>
## 6109 I prefer not to answer > 10,000
## 6110 Masterâ\200\231s 250-999
## 6111 Bachelorâ\200\231s 50-249
## 6112 Bachelorâ\200\231s <NA>
## 6113 Bachelorâ\200\231s 50-249
## 6114 Masterâ\200\231s 0-49
## 6115 Masterâ\200\231s 0-49
## 6116 Bachelorâ\200\231s 0-49
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## 6120 Masterâ\200\231s 50-249
## 6121 Masterâ\200\231s 250-999
## 6122 Masterâ\200\231s <NA>
## 6123 Masterâ\200\231s <NA>
## 6124 Doctoral 0-49
## 6125 Masterâ\200\231s 0-49
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## 6133 Masterâ\200\231s 250-999
## 6134 Bachelorâ\200\231s 0-49
## 6135 Masterâ\200\231s 1000-9,999
## 6136 Masterâ\200\231s <NA>
## 6137 Masterâ\200\231s 1000-9,999
## 6138 Masterâ\200\231s <NA>
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## 6140 Masterâ\200\231s > 10,000
## 6141 Masterâ\200\231s > 10,000
## 6142 Masterâ\200\231s 50-249
## 6143 Masterâ\200\231s > 10,000
## 6144 Masterâ\200\231s 250-999
## 6145 Bachelorâ\200\231s 50-249
## 6146 Masterâ\200\231s 50-249
## 6147 Doctoral 0-49
## 6148 I prefer not to answer 1000-9,999
## 6149 Bachelorâ\200\231s <NA>
## 6150 Bachelorâ\200\231s 0-49
## 6151 Masterâ\200\231s > 10,000
## 6152 Masterâ\200\231s 1000-9,999
## 6153 Bachelorâ\200\231s 1000-9,999
## 6154 Masterâ\200\231s 1000-9,999
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## 6157 Bachelorâ\200\231s 250-999
## 6158 Bachelorâ\200\231s 50-249
## 6159 Professional > 10,000
## 6160 Masterâ\200\231s 1000-9,999
## 6161 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 6162 Bachelorâ\200\231s <NA>
## 6163 Bachelorâ\200\231s <NA>
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## 6165 Bachelorâ\200\231s 1000-9,999
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## 6167 Masterâ\200\231s > 10,000
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## 6169 Masterâ\200\231s <NA>
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## 6186 Masterâ\200\231s 1000-9,999
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## 6194 Bachelorâ\200\231s > 10,000
## 6195 Bachelorâ\200\231s 50-249
## 6196 Bachelorâ\200\231s 1000-9,999
## 6197 Masterâ\200\231s > 10,000
## 6198 Bachelorâ\200\231s 1000-9,999
## 6199 Doctoral 50-249
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## 6201 Masterâ\200\231s <NA>
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## 6203 Bachelorâ\200\231s 50-249
## 6204 Masterâ\200\231s 1000-9,999
## 6205 Masterâ\200\231s > 10,000
## 6206 Bachelorâ\200\231s <NA>
## 6207 Masterâ\200\231s 1000-9,999
## 6208 Bachelorâ\200\231s 0-49
## 6209 Masterâ\200\231s 250-999
## 6210 Bachelorâ\200\231s > 10,000
## 6211 Doctoral 250-999
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## 6214 Masterâ\200\231s 0-49
## 6215 Masterâ\200\231s 250-999
## 6216 Masterâ\200\231s 1000-9,999
## 6217 Masterâ\200\231s > 10,000
## 6218 Doctoral 250-999
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## 6220 Masterâ\200\231s > 10,000
## 6221 Masterâ\200\231s 1000-9,999
## 6222 Doctoral > 10,000
## 6223 Doctoral 1000-9,999
## 6224 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 6225 Masterâ\200\231s > 10,000
## 6226 Bachelorâ\200\231s > 10,000
## 6227 Bachelorâ\200\231s 50-249
## 6228 Bachelorâ\200\231s <NA>
## 6229 Masterâ\200\231s > 10,000
## 6230 Bachelorâ\200\231s 0-49
## 6231 Masterâ\200\231s <NA>
## 6232 Bachelorâ\200\231s 0-49
## 6233 Masterâ\200\231s 50-249
## 6234 Bachelorâ\200\231s > 10,000
## 6235 Bachelorâ\200\231s > 10,000
## 6236 Masterâ\200\231s 1000-9,999
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## 6239 Masterâ\200\231s 0-49
## 6240 I prefer not to answer > 10,000
## 6241 Bachelorâ\200\231s <NA>
## 6242 No formal education past high school 250-999
## 6243 Masterâ\200\231s <NA>
## 6244 Bachelorâ\200\231s <NA>
## 6245 Doctoral > 10,000
## 6246 Bachelorâ\200\231s 0-49
## 6247 Bachelorâ\200\231s <NA>
## 6248 Masterâ\200\231s > 10,000
## 6249 Masterâ\200\231s > 10,000
## 6250 Masterâ\200\231s 250-999
## 6251 Masterâ\200\231s > 10,000
## 6252 Doctoral 250-999
## 6253 Bachelorâ\200\231s 0-49
## 6254 Masterâ\200\231s 0-49
## 6255 Masterâ\200\231s 50-249
## 6256 Masterâ\200\231s > 10,000
## 6257 Doctoral <NA>
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## 6259 Bachelorâ\200\231s > 10,000
## 6260 Masterâ\200\231s 1000-9,999
## 6261 Masterâ\200\231s 0-49
## 6262 Masterâ\200\231s > 10,000
## 6263 Masterâ\200\231s > 10,000
## 6264 Masterâ\200\231s <NA>
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## 6266 Masterâ\200\231s 1000-9,999
## 6267 Doctoral 0-49
## 6268 Doctoral 250-999
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## 6270 Masterâ\200\231s 0-49
## 6271 Masterâ\200\231s <NA>
## 6272 Bachelorâ\200\231s <NA>
## 6273 Bachelorâ\200\231s 1000-9,999
## 6274 Doctoral > 10,000
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## 6276 Masterâ\200\231s 1000-9,999
## 6277 Bachelorâ\200\231s 250-999
## 6278 Bachelorâ\200\231s > 10,000
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## 6284 I prefer not to answer 50-249
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## 6288 Bachelorâ\200\231s 1000-9,999
## 6289 Bachelorâ\200\231s <NA>
## 6290 Bachelorâ\200\231s 0-49
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## 6292 Masterâ\200\231s > 10,000
## 6293 Masterâ\200\231s 1000-9,999
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## 6296 Masterâ\200\231s <NA>
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## 6302 Masterâ\200\231s 50-249
## 6303 Masterâ\200\231s <NA>
## 6304 Bachelorâ\200\231s 0-49
## 6305 Masterâ\200\231s 0-49
## 6306 Doctoral 250-999
## 6307 Bachelorâ\200\231s <NA>
## 6308 Masterâ\200\231s 1000-9,999
## 6309 Bachelorâ\200\231s 50-249
## 6310 Masterâ\200\231s 250-999
## 6311 Bachelorâ\200\231s <NA>
## 6312 Masterâ\200\231s <NA>
## 6313 Bachelorâ\200\231s > 10,000
## 6314 Bachelorâ\200\231s 1000-9,999
## 6315 Bachelorâ\200\231s <NA>
## 6316 Doctoral 0-49
## 6317 Doctoral 1000-9,999
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## 6319 Bachelorâ\200\231s 1000-9,999
## 6320 Bachelorâ\200\231s 0-49
## 6321 Doctoral 0-49
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## 6324 Doctoral 50-249
## 6325 Bachelorâ\200\231s > 10,000
## 6326 Bachelorâ\200\231s <NA>
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## 6329 Doctoral 1000-9,999
## 6330 Masterâ\200\231s 50-249
## 6331 Bachelorâ\200\231s <NA>
## 6332 Bachelorâ\200\231s 250-999
## 6333 Masterâ\200\231s <NA>
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## 6335 Masterâ\200\231s 1000-9,999
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## 6337 Bachelorâ\200\231s 50-249
## 6338 Bachelorâ\200\231s <NA>
## 6339 Bachelorâ\200\231s 0-49
## 6340 Masterâ\200\231s 50-249
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## 6343 Doctoral 0-49
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## 6346 Masterâ\200\231s > 10,000
## 6347 Doctoral <NA>
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## 6349 Doctoral 1000-9,999
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## 6351 Masterâ\200\231s > 10,000
## 6352 Doctoral > 10,000
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## 6355 Bachelorâ\200\231s 0-49
## 6356 Bachelorâ\200\231s 1000-9,999
## 6357 Masterâ\200\231s 0-49
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## 6359 Bachelorâ\200\231s <NA>
## 6360 Bachelorâ\200\231s 0-49
## 6361 Doctoral > 10,000
## 6362 Masterâ\200\231s 1000-9,999
## 6363 Doctoral > 10,000
## 6364 Bachelorâ\200\231s > 10,000
## 6365 Bachelorâ\200\231s <NA>
## 6366 Bachelorâ\200\231s <NA>
## 6367 Doctoral 1000-9,999
## 6368 Masterâ\200\231s 1000-9,999
## 6369 Masterâ\200\231s 1000-9,999
## 6370 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 6371 Masterâ\200\231s > 10,000
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## 6376 Doctoral 1000-9,999
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## 6378 Bachelorâ\200\231s 1000-9,999
## 6379 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 6380 Bachelorâ\200\231s 250-999
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## 6382 Masterâ\200\231s <NA>
## 6383 Masterâ\200\231s 250-999
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## 6385 Masterâ\200\231s 250-999
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## 6387 Doctoral 1000-9,999
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## 6389 Masterâ\200\231s > 10,000
## 6390 Bachelorâ\200\231s <NA>
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## 6402 Masterâ\200\231s 1000-9,999
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## 6410 Masterâ\200\231s <NA>
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## 6413 Masterâ\200\231s 250-999
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## 6416 Masterâ\200\231s 0-49
## 6417 Bachelorâ\200\231s <NA>
## 6418 Bachelorâ\200\231s 0-49
## 6419 Doctoral 0-49
## 6420 Masterâ\200\231s > 10,000
## 6421 No formal education past high school 250-999
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## 6425 Bachelorâ\200\231s 0-49
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## 6429 Masterâ\200\231s > 10,000
## 6430 Masterâ\200\231s 50-249
## 6431 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
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## 6434 Masterâ\200\231s 1000-9,999
## 6435 Doctoral > 10,000
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## 6439 Bachelorâ\200\231s 0-49
## 6440 Masterâ\200\231s 0-49
## 6441 Bachelorâ\200\231s <NA>
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## 6443 Masterâ\200\231s > 10,000
## 6444 Doctoral > 10,000
## 6445 Doctoral > 10,000
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## 6447 Masterâ\200\231s 1000-9,999
## 6448 Bachelorâ\200\231s 1000-9,999
## 6449 Masterâ\200\231s 0-49
## 6450 Bachelorâ\200\231s > 10,000
## 6451 Masterâ\200\231s <NA>
## 6452 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 6453 Professional > 10,000
## 6454 Bachelorâ\200\231s <NA>
## 6455 Masterâ\200\231s <NA>
## 6456 Bachelorâ\200\231s <NA>
## 6457 Masterâ\200\231s > 10,000
## 6458 Bachelorâ\200\231s <NA>
## 6459 Masterâ\200\231s <NA>
## 6460 Masterâ\200\231s <NA>
## 6461 Masterâ\200\231s 1000-9,999
## 6462 Masterâ\200\231s 0-49
## 6463 Bachelorâ\200\231s <NA>
## 6464 Bachelorâ\200\231s 1000-9,999
## 6465 Bachelorâ\200\231s <NA>
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## 6467 Masterâ\200\231s 0-49
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## 6469 Bachelorâ\200\231s > 10,000
## 6470 Bachelorâ\200\231s 0-49
## 6471 Bachelorâ\200\231s > 10,000
## 6472 Masterâ\200\231s <NA>
## 6473 Professional > 10,000
## 6474 Masterâ\200\231s <NA>
## 6475 Masterâ\200\231s > 10,000
## 6476 Masterâ\200\231s 1000-9,999
## 6477 Doctoral 50-249
## 6478 Masterâ\200\231s > 10,000
## 6479 Masterâ\200\231s 1000-9,999
## 6480 Masterâ\200\231s <NA>
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## 6482 Bachelorâ\200\231s > 10,000
## 6483 Masterâ\200\231s 0-49
## 6484 Masterâ\200\231s 50-249
## 6485 Masterâ\200\231s 0-49
## 6486 Masterâ\200\231s 50-249
## 6487 Masterâ\200\231s <NA>
## 6488 Doctoral > 10,000
## 6489 Masterâ\200\231s 50-249
## 6490 Masterâ\200\231s 250-999
## 6491 Masterâ\200\231s 1000-9,999
## 6492 Doctoral 0-49
## 6493 Masterâ\200\231s 1000-9,999
## 6494 Masterâ\200\231s 50-249
## 6495 Bachelorâ\200\231s <NA>
## 6496 Bachelorâ\200\231s <NA>
## 6497 Bachelorâ\200\231s 50-249
## 6498 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 6499 Bachelorâ\200\231s 0-49
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## 6502 Masterâ\200\231s 0-49
## 6503 Masterâ\200\231s > 10,000
## 6504 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
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## 6508 Professional <NA>
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## 6516 Bachelorâ\200\231s <NA>
## 6517 Masterâ\200\231s > 10,000
## 6518 Masterâ\200\231s 1000-9,999
## 6519 Professional 250-999
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## 6529 Masterâ\200\231s 0-49
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## 6533 Doctoral 1000-9,999
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## 6536 Bachelorâ\200\231s 250-999
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## 6539 Masterâ\200\231s <NA>
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## 6541 Doctoral > 10,000
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## 6545 Masterâ\200\231s 50-249
## 6546 Doctoral 1000-9,999
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## 6548 Masterâ\200\231s > 10,000
## 6549 Bachelorâ\200\231s > 10,000
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## 6552 Bachelorâ\200\231s 0-49
## 6553 Doctoral 1000-9,999
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## 6555 Masterâ\200\231s 0-49
## 6556 Masterâ\200\231s 1000-9,999
## 6557 Doctoral <NA>
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## 6560 Bachelorâ\200\231s <NA>
## 6561 Doctoral 0-49
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## 6566 Masterâ\200\231s <NA>
## 6567 Bachelorâ\200\231s 1000-9,999
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## 6576 Masterâ\200\231s 1000-9,999
## 6577 Bachelorâ\200\231s 1000-9,999
## 6578 Masterâ\200\231s <NA>
## 6579 Bachelorâ\200\231s > 10,000
## 6580 Doctoral 1000-9,999
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## 6587 Bachelorâ\200\231s 1000-9,999
## 6588 Bachelorâ\200\231s 1000-9,999
## 6589 Masterâ\200\231s 1000-9,999
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## 6591 Masterâ\200\231s > 10,000
## 6592 Bachelorâ\200\231s 0-49
## 6593 Bachelorâ\200\231s <NA>
## 6594 Doctoral 0-49
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## 6597 Bachelorâ\200\231s > 10,000
## 6598 Masterâ\200\231s 1000-9,999
## 6599 Masterâ\200\231s > 10,000
## 6600 Bachelorâ\200\231s 50-249
## 6601 I prefer not to answer <NA>
## 6602 Masterâ\200\231s > 10,000
## 6603 Masterâ\200\231s 250-999
## 6604 Bachelorâ\200\231s > 10,000
## 6605 Masterâ\200\231s > 10,000
## 6606 Bachelorâ\200\231s 0-49
## 6607 Doctoral 250-999
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## 6609 Masterâ\200\231s 1000-9,999
## 6610 Masterâ\200\231s > 10,000
## 6611 I prefer not to answer > 10,000
## 6612 Bachelorâ\200\231s 0-49
## 6613 Bachelorâ\200\231s <NA>
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## 6617 Masterâ\200\231s 50-249
## 6618 Masterâ\200\231s 0-49
## 6619 Masterâ\200\231s 1000-9,999
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## 6621 Masterâ\200\231s 0-49
## 6622 Masterâ\200\231s > 10,000
## 6623 Bachelorâ\200\231s 0-49
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## 6629 Bachelorâ\200\231s <NA>
## 6630 Masterâ\200\231s <NA>
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## 6634 Masterâ\200\231s 50-249
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## 6639 Bachelorâ\200\231s > 10,000
## 6640 Masterâ\200\231s <NA>
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## 6642 Masterâ\200\231s 50-249
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## 6648 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
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## 6651 Masterâ\200\231s 50-249
## 6652 Masterâ\200\231s 50-249
## 6653 Bachelorâ\200\231s 1000-9,999
## 6654 Doctoral 0-49
## 6655 Bachelorâ\200\231s 250-999
## 6656 Masterâ\200\231s <NA>
## 6657 Masterâ\200\231s <NA>
## 6658 Masterâ\200\231s 0-49
## 6659 Masterâ\200\231s 0-49
## 6660 Bachelorâ\200\231s 0-49
## 6661 Bachelorâ\200\231s <NA>
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## 6663 Masterâ\200\231s > 10,000
## 6664 Masterâ\200\231s 0-49
## 6665 Masterâ\200\231s 0-49
## 6666 Masterâ\200\231s 50-249
## 6667 Bachelorâ\200\231s <NA>
## 6668 Bachelorâ\200\231s 50-249
## 6669 Bachelorâ\200\231s 50-249
## 6670 Doctoral 0-49
## 6671 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 6672 Masterâ\200\231s > 10,000
## 6673 Masterâ\200\231s <NA>
## 6674 Masterâ\200\231s <NA>
## 6675 Doctoral > 10,000
## 6676 Bachelorâ\200\231s <NA>
## 6677 Bachelorâ\200\231s <NA>
## 6678 Masterâ\200\231s 50-249
## 6679 Masterâ\200\231s > 10,000
## 6680 Doctoral 0-49
## 6681 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 6682 Masterâ\200\231s 1000-9,999
## 6683 Masterâ\200\231s <NA>
## 6684 Doctoral 0-49
## 6685 Bachelorâ\200\231s <NA>
## 6686 Doctoral 50-249
## 6687 Masterâ\200\231s 1000-9,999
## 6688 Doctoral 50-249
## 6689 Bachelorâ\200\231s > 10,000
## 6690 Doctoral <NA>
## 6691 Masterâ\200\231s 0-49
## 6692 Doctoral 0-49
## 6693 Masterâ\200\231s > 10,000
## 6694 Masterâ\200\231s <NA>
## 6695 Professional 0-49
## 6696 Masterâ\200\231s 50-249
## 6697 Bachelorâ\200\231s 0-49
## 6698 Masterâ\200\231s 250-999
## 6699 Bachelorâ\200\231s 250-999
## 6700 Masterâ\200\231s 1000-9,999
## 6701 Masterâ\200\231s 250-999
## 6702 Bachelorâ\200\231s <NA>
## 6703 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 6704 Masterâ\200\231s 250-999
## 6705 Masterâ\200\231s 0-49
## 6706 Bachelorâ\200\231s > 10,000
## 6707 Bachelorâ\200\231s > 10,000
## 6708 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 6709 Professional 50-249
## 6710 Bachelorâ\200\231s <NA>
## 6711 Doctoral 50-249
## 6712 Bachelorâ\200\231s 0-49
## 6713 Bachelorâ\200\231s <NA>
## 6714 Masterâ\200\231s 1000-9,999
## 6715 Masterâ\200\231s 1000-9,999
## 6716 Doctoral 50-249
## 6717 Masterâ\200\231s > 10,000
## 6718 Masterâ\200\231s <NA>
## 6719 Bachelorâ\200\231s <NA>
## 6720 Professional 0-49
## 6721 Masterâ\200\231s 50-249
## 6722 Masterâ\200\231s 0-49
## 6723 Masterâ\200\231s 50-249
## 6724 Doctoral > 10,000
## 6725 Masterâ\200\231s 1000-9,999
## 6726 Masterâ\200\231s 0-49
## 6727 Masterâ\200\231s <NA>
## 6728 Masterâ\200\231s 1000-9,999
## 6729 Masterâ\200\231s <NA>
## 6730 Bachelorâ\200\231s <NA>
## 6731 Masterâ\200\231s 0-49
## 6732 Doctoral 250-999
## 6733 Bachelorâ\200\231s <NA>
## 6734 Professional 0-49
## 6735 Masterâ\200\231s <NA>
## 6736 Masterâ\200\231s 50-249
## 6737 Masterâ\200\231s 250-999
## 6738 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 6739 Masterâ\200\231s <NA>
## 6740 Masterâ\200\231s 1000-9,999
## 6741 Doctoral 0-49
## 6742 Doctoral > 10,000
## 6743 Masterâ\200\231s 50-249
## 6744 Masterâ\200\231s 0-49
## 6745 Masterâ\200\231s > 10,000
## 6746 Doctoral 50-249
## 6747 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 6748 Professional > 10,000
## 6749 Bachelorâ\200\231s 50-249
## 6750 Doctoral 250-999
## 6751 Masterâ\200\231s 250-999
## 6752 Masterâ\200\231s > 10,000
## 6753 Bachelorâ\200\231s 50-249
## 6754 Masterâ\200\231s 1000-9,999
## 6755 Masterâ\200\231s > 10,000
## 6756 Doctoral 1000-9,999
## 6757 Masterâ\200\231s <NA>
## 6758 Bachelorâ\200\231s 50-249
## 6759 Masterâ\200\231s 50-249
## 6760 Doctoral > 10,000
## 6761 Doctoral 0-49
## 6762 Masterâ\200\231s > 10,000
## 6763 Bachelorâ\200\231s <NA>
## 6764 Masterâ\200\231s 1000-9,999
## 6765 Bachelorâ\200\231s 0-49
## 6766 Bachelorâ\200\231s 0-49
## 6767 Masterâ\200\231s <NA>
## 6768 No formal education past high school 0-49
## 6769 Doctoral > 10,000
## 6770 Masterâ\200\231s 0-49
## 6771 Masterâ\200\231s 50-249
## 6772 Masterâ\200\231s 1000-9,999
## 6773 Bachelorâ\200\231s 250-999
## 6774 Doctoral 250-999
## 6775 Bachelorâ\200\231s 0-49
## 6776 Masterâ\200\231s <NA>
## 6777 Masterâ\200\231s 1000-9,999
## 6778 Masterâ\200\231s 250-999
## 6779 Masterâ\200\231s 250-999
## 6780 I prefer not to answer 0-49
## 6781 Bachelorâ\200\231s <NA>
## 6782 Bachelorâ\200\231s 250-999
## 6783 Bachelorâ\200\231s <NA>
## 6784 Bachelorâ\200\231s <NA>
## 6785 Doctoral 50-249
## 6786 Professional 250-999
## 6787 Masterâ\200\231s <NA>
## 6788 Masterâ\200\231s 1000-9,999
## 6789 Bachelorâ\200\231s <NA>
## 6790 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 6791 Bachelorâ\200\231s 0-49
## 6792 Masterâ\200\231s <NA>
## 6793 Masterâ\200\231s 0-49
## 6794 Masterâ\200\231s 0-49
## 6795 Masterâ\200\231s 1000-9,999
## 6796 Masterâ\200\231s <NA>
## 6797 Bachelorâ\200\231s <NA>
## 6798 Professional 50-249
## 6799 Masterâ\200\231s 0-49
## 6800 Masterâ\200\231s 1000-9,999
## 6801 Masterâ\200\231s 250-999
## 6802 Bachelorâ\200\231s > 10,000
## 6803 Bachelorâ\200\231s 1000-9,999
## 6804 Masterâ\200\231s > 10,000
## 6805 Masterâ\200\231s 0-49
## 6806 Bachelorâ\200\231s 50-249
## 6807 Doctoral 0-49
## 6808 Bachelorâ\200\231s <NA>
## 6809 Bachelorâ\200\231s 0-49
## 6810 Doctoral <NA>
## 6811 Bachelorâ\200\231s 50-249
## 6812 Masterâ\200\231s > 10,000
## 6813 Masterâ\200\231s > 10,000
## 6814 Bachelorâ\200\231s 0-49
## 6815 Bachelorâ\200\231s <NA>
## 6816 Masterâ\200\231s 0-49
## 6817 Masterâ\200\231s 0-49
## 6818 Masterâ\200\231s 50-249
## 6819 Doctoral 0-49
## 6820 Masterâ\200\231s 50-249
## 6821 Masterâ\200\231s 0-49
## 6822 Masterâ\200\231s 0-49
## 6823 Masterâ\200\231s 0-49
## 6824 Masterâ\200\231s > 10,000
## 6825 Masterâ\200\231s <NA>
## 6826 Masterâ\200\231s 1000-9,999
## 6827 Bachelorâ\200\231s 0-49
## 6828 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 6829 Masterâ\200\231s > 10,000
## 6830 Doctoral 50-249
## 6831 Masterâ\200\231s > 10,000
## 6832 Masterâ\200\231s 250-999
## 6833 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 6834 Doctoral 1000-9,999
## 6835 Bachelorâ\200\231s 50-249
## 6836 Masterâ\200\231s 0-49
## 6837 Masterâ\200\231s 0-49
## 6838 Masterâ\200\231s > 10,000
## 6839 Bachelorâ\200\231s 0-49
## 6840 Bachelorâ\200\231s 50-249
## 6841 Doctoral 50-249
## 6842 Doctoral 250-999
## 6843 Bachelorâ\200\231s <NA>
## 6844 Doctoral > 10,000
## 6845 Masterâ\200\231s > 10,000
## 6846 Bachelorâ\200\231s 250-999
## 6847 Bachelorâ\200\231s <NA>
## 6848 Masterâ\200\231s 250-999
## 6849 Bachelorâ\200\231s 0-49
## 6850 Masterâ\200\231s > 10,000
## 6851 Masterâ\200\231s 250-999
## 6852 Masterâ\200\231s 0-49
## 6853 Bachelorâ\200\231s <NA>
## 6854 Professional <NA>
## 6855 Masterâ\200\231s <NA>
## 6856 Masterâ\200\231s <NA>
## 6857 Bachelorâ\200\231s <NA>
## 6858 Masterâ\200\231s 0-49
## 6859 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 6860 Bachelorâ\200\231s <NA>
## 6861 Doctoral 250-999
## 6862 Doctoral 0-49
## 6863 Masterâ\200\231s 1000-9,999
## 6864 Masterâ\200\231s <NA>
## 6865 Bachelorâ\200\231s 250-999
## 6866 Doctoral 1000-9,999
## 6867 Masterâ\200\231s <NA>
## 6868 Professional 0-49
## 6869 Masterâ\200\231s 50-249
## 6870 Masterâ\200\231s > 10,000
## 6871 Masterâ\200\231s <NA>
## 6872 Bachelorâ\200\231s 1000-9,999
## 6873 Doctoral > 10,000
## 6874 Bachelorâ\200\231s <NA>
## 6875 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 6876 Doctoral 250-999
## 6877 Bachelorâ\200\231s <NA>
## 6878 Bachelorâ\200\231s <NA>
## 6879 Masterâ\200\231s 1000-9,999
## 6880 Masterâ\200\231s > 10,000
## 6881 Bachelorâ\200\231s <NA>
## 6882 Masterâ\200\231s 1000-9,999
## 6883 Bachelorâ\200\231s <NA>
## 6884 Masterâ\200\231s <NA>
## 6885 Bachelorâ\200\231s 0-49
## 6886 Bachelorâ\200\231s 50-249
## 6887 Bachelorâ\200\231s 50-249
## 6888 Doctoral 250-999
## 6889 Masterâ\200\231s 1000-9,999
## 6890 Professional 0-49
## 6891 Masterâ\200\231s 0-49
## 6892 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 6893 Bachelorâ\200\231s 0-49
## 6894 Bachelorâ\200\231s 1000-9,999
## 6895 Masterâ\200\231s 0-49
## 6896 Bachelorâ\200\231s 1000-9,999
## 6897 I prefer not to answer 1000-9,999
## 6898 Doctoral > 10,000
## 6899 Masterâ\200\231s 1000-9,999
## 6900 Bachelorâ\200\231s 1000-9,999
## 6901 Masterâ\200\231s 50-249
## 6902 Masterâ\200\231s 1000-9,999
## 6903 Masterâ\200\231s 50-249
## 6904 Masterâ\200\231s > 10,000
## 6905 Doctoral 0-49
## 6906 Professional 1000-9,999
## 6907 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 6908 Masterâ\200\231s 1000-9,999
## 6909 Masterâ\200\231s <NA>
## 6910 Bachelorâ\200\231s > 10,000
## 6911 Masterâ\200\231s 50-249
## 6912 Masterâ\200\231s 1000-9,999
## 6913 Masterâ\200\231s 50-249
## 6914 Masterâ\200\231s 250-999
## 6915 Masterâ\200\231s 0-49
## 6916 Bachelorâ\200\231s > 10,000
## 6917 Bachelorâ\200\231s <NA>
## 6918 Doctoral <NA>
## 6919 Masterâ\200\231s <NA>
## 6920 Bachelorâ\200\231s <NA>
## 6921 Masterâ\200\231s <NA>
## 6922 Bachelorâ\200\231s 0-49
## 6923 Doctoral 0-49
## 6924 Masterâ\200\231s <NA>
## 6925 Masterâ\200\231s <NA>
## 6926 Masterâ\200\231s 1000-9,999
## 6927 Bachelorâ\200\231s 50-249
## 6928 Bachelorâ\200\231s 50-249
## 6929 Masterâ\200\231s <NA>
## 6930 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 6931 Doctoral 50-249
## 6932 Bachelorâ\200\231s <NA>
## 6933 Doctoral <NA>
## 6934 Masterâ\200\231s 50-249
## 6935 Masterâ\200\231s > 10,000
## 6936 Bachelorâ\200\231s <NA>
## 6937 Masterâ\200\231s > 10,000
## 6938 Bachelorâ\200\231s 1000-9,999
## 6939 Bachelorâ\200\231s <NA>
## 6940 Masterâ\200\231s 0-49
## 6941 Masterâ\200\231s 1000-9,999
## 6942 Bachelorâ\200\231s > 10,000
## 6943 Masterâ\200\231s > 10,000
## 6944 Bachelorâ\200\231s 1000-9,999
## 6945 Masterâ\200\231s 50-249
## 6946 Bachelorâ\200\231s <NA>
## 6947 Doctoral 0-49
## 6948 Masterâ\200\231s 0-49
## 6949 Bachelorâ\200\231s 50-249
## 6950 Masterâ\200\231s 50-249
## 6951 Masterâ\200\231s 1000-9,999
## 6952 Masterâ\200\231s 1000-9,999
## 6953 Masterâ\200\231s <NA>
## 6954 Masterâ\200\231s 0-49
## 6955 Bachelorâ\200\231s > 10,000
## 6956 Bachelorâ\200\231s <NA>
## 6957 Bachelorâ\200\231s <NA>
## 6958 Masterâ\200\231s <NA>
## 6959 Masterâ\200\231s <NA>
## 6960 Masterâ\200\231s > 10,000
## 6961 Masterâ\200\231s 50-249
## 6962 Doctoral 250-999
## 6963 Doctoral <NA>
## 6964 Masterâ\200\231s 50-249
## 6965 Doctoral 0-49
## 6966 Masterâ\200\231s > 10,000
## 6967 Doctoral 0-49
## 6968 Bachelorâ\200\231s <NA>
## 6969 Masterâ\200\231s <NA>
## 6970 No formal education past high school 250-999
## 6971 Doctoral 50-249
## 6972 Masterâ\200\231s 0-49
## 6973 Masterâ\200\231s 0-49
## 6974 Masterâ\200\231s 0-49
## 6975 Masterâ\200\231s > 10,000
## 6976 Doctoral > 10,000
## 6977 Bachelorâ\200\231s 50-249
## 6978 Bachelorâ\200\231s 250-999
## 6979 Masterâ\200\231s > 10,000
## 6980 Professional 0-49
## 6981 Doctoral 1000-9,999
## 6982 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 6983 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 6984 Doctoral 50-249
## 6985 Professional 1000-9,999
## 6986 Bachelorâ\200\231s 250-999
## 6987 Bachelorâ\200\231s 50-249
## 6988 Doctoral <NA>
## 6989 Masterâ\200\231s 0-49
## 6990 Bachelorâ\200\231s 250-999
## 6991 Masterâ\200\231s <NA>
## 6992 Bachelorâ\200\231s <NA>
## 6993 Bachelorâ\200\231s 50-249
## 6994 Doctoral 1000-9,999
## 6995 Doctoral > 10,000
## 6996 Masterâ\200\231s <NA>
## 6997 Bachelorâ\200\231s > 10,000
## 6998 Doctoral 50-249
## 6999 Masterâ\200\231s <NA>
## 7000 Masterâ\200\231s <NA>
## 7001 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 7002 Masterâ\200\231s 250-999
## 7003 Masterâ\200\231s 0-49
## 7004 Bachelorâ\200\231s <NA>
## 7005 Bachelorâ\200\231s 0-49
## 7006 Masterâ\200\231s 50-249
## 7007 Masterâ\200\231s 50-249
## 7008 Bachelorâ\200\231s > 10,000
## 7009 Bachelorâ\200\231s <NA>
## 7010 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 7011 Masterâ\200\231s 0-49
## 7012 Doctoral > 10,000
## 7013 Masterâ\200\231s > 10,000
## 7014 Bachelorâ\200\231s > 10,000
## 7015 No formal education past high school 250-999
## 7016 Masterâ\200\231s 1000-9,999
## 7017 Masterâ\200\231s 250-999
## 7018 Masterâ\200\231s 0-49
## 7019 Doctoral 1000-9,999
## 7020 Masterâ\200\231s 1000-9,999
## 7021 Bachelorâ\200\231s 250-999
## 7022 Doctoral 1000-9,999
## 7023 Masterâ\200\231s 0-49
## 7024 Bachelorâ\200\231s 1000-9,999
## 7025 Professional > 10,000
## 7026 Masterâ\200\231s 250-999
## 7027 Bachelorâ\200\231s 0-49
## 7028 Masterâ\200\231s 1000-9,999
## 7029 Bachelorâ\200\231s 0-49
## 7030 Bachelorâ\200\231s 50-249
## 7031 Bachelorâ\200\231s <NA>
## 7032 Bachelorâ\200\231s 250-999
## 7033 Doctoral 1000-9,999
## 7034 Masterâ\200\231s 50-249
## 7035 Doctoral 0-49
## 7036 Masterâ\200\231s 250-999
## 7037 Bachelorâ\200\231s <NA>
## 7038 Masterâ\200\231s > 10,000
## 7039 Doctoral 0-49
## 7040 Doctoral <NA>
## 7041 Doctoral 0-49
## 7042 Masterâ\200\231s <NA>
## 7043 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 7044 Doctoral 1000-9,999
## 7045 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 7046 Bachelorâ\200\231s <NA>
## 7047 Masterâ\200\231s 0-49
## 7048 Masterâ\200\231s <NA>
## 7049 Masterâ\200\231s 250-999
## 7050 Doctoral 0-49
## 7051 Masterâ\200\231s 250-999
## 7052 Doctoral 0-49
## 7053 Masterâ\200\231s <NA>
## 7054 Masterâ\200\231s 250-999
## 7055 Masterâ\200\231s 1000-9,999
## 7056 Bachelorâ\200\231s <NA>
## 7057 Masterâ\200\231s > 10,000
## 7058 Doctoral 1000-9,999
## 7059 Masterâ\200\231s <NA>
## 7060 Masterâ\200\231s 0-49
## 7061 Masterâ\200\231s 0-49
## 7062 Masterâ\200\231s > 10,000
## 7063 Masterâ\200\231s 0-49
## 7064 Masterâ\200\231s 50-249
## 7065 Bachelorâ\200\231s 0-49
## 7066 Doctoral 250-999
## 7067 Doctoral 50-249
## 7068 Bachelorâ\200\231s <NA>
## 7069 Masterâ\200\231s 50-249
## 7070 Bachelorâ\200\231s <NA>
## 7071 Masterâ\200\231s 250-999
## 7072 Masterâ\200\231s 1000-9,999
## 7073 Bachelorâ\200\231s 250-999
## 7074 Bachelorâ\200\231s <NA>
## 7075 I prefer not to answer > 10,000
## 7076 Doctoral 1000-9,999
## 7077 Bachelorâ\200\231s > 10,000
## 7078 Masterâ\200\231s 1000-9,999
## 7079 Bachelorâ\200\231s 0-49
## 7080 Doctoral 50-249
## 7081 Masterâ\200\231s 0-49
## 7082 Masterâ\200\231s 250-999
## 7083 Masterâ\200\231s <NA>
## 7084 Masterâ\200\231s 0-49
## 7085 Masterâ\200\231s 0-49
## 7086 Bachelorâ\200\231s 250-999
## 7087 Bachelorâ\200\231s 50-249
## 7088 Masterâ\200\231s > 10,000
## 7089 Masterâ\200\231s 0-49
## 7090 Masterâ\200\231s <NA>
## 7091 Bachelorâ\200\231s <NA>
## 7092 Doctoral 250-999
## 7093 Bachelorâ\200\231s > 10,000
## 7094 Bachelorâ\200\231s <NA>
## 7095 Bachelorâ\200\231s > 10,000
## 7096 Doctoral <NA>
## 7097 Bachelorâ\200\231s > 10,000
## 7098 Doctoral > 10,000
## 7099 Bachelorâ\200\231s <NA>
## 7100 Masterâ\200\231s <NA>
## 7101 Doctoral > 10,000
## 7102 Bachelorâ\200\231s 1000-9,999
## 7103 Doctoral 0-49
## 7104 Bachelorâ\200\231s 1000-9,999
## 7105 Masterâ\200\231s 1000-9,999
## 7106 Masterâ\200\231s 0-49
## 7107 Bachelorâ\200\231s 0-49
## 7108 Bachelorâ\200\231s <NA>
## 7109 Bachelorâ\200\231s 1000-9,999
## 7110 Bachelorâ\200\231s 0-49
## 7111 Masterâ\200\231s > 10,000
## 7112 Doctoral 0-49
## 7113 Masterâ\200\231s <NA>
## 7114 Masterâ\200\231s 250-999
## 7115 Masterâ\200\231s > 10,000
## 7116 Masterâ\200\231s <NA>
## 7117 Bachelorâ\200\231s <NA>
## 7118 Masterâ\200\231s <NA>
## 7119 Masterâ\200\231s 0-49
## 7120 Masterâ\200\231s 0-49
## 7121 Masterâ\200\231s <NA>
## 7122 Masterâ\200\231s 250-999
## 7123 Doctoral > 10,000
## 7124 Bachelorâ\200\231s <NA>
## 7125 Masterâ\200\231s 50-249
## 7126 Masterâ\200\231s <NA>
## 7127 Masterâ\200\231s 0-49
## 7128 Doctoral 0-49
## 7129 Masterâ\200\231s > 10,000
## 7130 Masterâ\200\231s 0-49
## 7131 Professional 0-49
## 7132 Bachelorâ\200\231s > 10,000
## 7133 Bachelorâ\200\231s <NA>
## 7134 I prefer not to answer <NA>
## 7135 Bachelorâ\200\231s > 10,000
## 7136 Doctoral 0-49
## 7137 Masterâ\200\231s 50-249
## 7138 Masterâ\200\231s 0-49
## 7139 Doctoral 1000-9,999
## 7140 Masterâ\200\231s <NA>
## 7141 Masterâ\200\231s 250-999
## 7142 Masterâ\200\231s 250-999
## 7143 Masterâ\200\231s <NA>
## 7144 Doctoral 250-999
## 7145 Doctoral 50-249
## 7146 Doctoral 1000-9,999
## 7147 Bachelorâ\200\231s 0-49
## 7148 I prefer not to answer <NA>
## 7149 Doctoral 0-49
## 7150 Masterâ\200\231s > 10,000
## 7151 Doctoral 1000-9,999
## 7152 Doctoral 250-999
## 7153 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 7154 Masterâ\200\231s > 10,000
## 7155 Bachelorâ\200\231s <NA>
## 7156 Professional 0-49
## 7157 Masterâ\200\231s 1000-9,999
## 7158 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 7159 Masterâ\200\231s 250-999
## 7160 Masterâ\200\231s <NA>
## 7161 Bachelorâ\200\231s <NA>
## 7162 Doctoral 0-49
## 7163 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 7164 Doctoral 0-49
## 7165 Masterâ\200\231s > 10,000
## 7166 Bachelorâ\200\231s 1000-9,999
## 7167 Bachelorâ\200\231s 250-999
## 7168 Bachelorâ\200\231s 250-999
## 7169 Bachelorâ\200\231s > 10,000
## 7170 Masterâ\200\231s > 10,000
## 7171 Doctoral <NA>
## 7172 Masterâ\200\231s 1000-9,999
## 7173 Masterâ\200\231s <NA>
## 7174 Bachelorâ\200\231s <NA>
## 7175 Masterâ\200\231s > 10,000
## 7176 Bachelorâ\200\231s <NA>
## 7177 Bachelorâ\200\231s 1000-9,999
## 7178 Doctoral 250-999
## 7179 Masterâ\200\231s > 10,000
## 7180 Masterâ\200\231s 50-249
## 7181 Bachelorâ\200\231s 0-49
## 7182 Bachelorâ\200\231s 0-49
## 7183 Masterâ\200\231s <NA>
## 7184 Doctoral 0-49
## 7185 Masterâ\200\231s <NA>
## 7186 Masterâ\200\231s > 10,000
## 7187 Doctoral 0-49
## 7188 Masterâ\200\231s 0-49
## 7189 Masterâ\200\231s 250-999
## 7190 Masterâ\200\231s <NA>
## 7191 Bachelorâ\200\231s <NA>
## 7192 Masterâ\200\231s 250-999
## 7193 Bachelorâ\200\231s <NA>
## 7194 Masterâ\200\231s <NA>
## 7195 Professional <NA>
## 7196 Masterâ\200\231s > 10,000
## 7197 Bachelorâ\200\231s 50-249
## 7198 Masterâ\200\231s <NA>
## 7199 Masterâ\200\231s 0-49
## 7200 Doctoral > 10,000
## 7201 Masterâ\200\231s 0-49
## 7202 Masterâ\200\231s 250-999
## 7203 Bachelorâ\200\231s <NA>
## 7204 Masterâ\200\231s 50-249
## 7205 Masterâ\200\231s 0-49
## 7206 Masterâ\200\231s > 10,000
## 7207 Masterâ\200\231s 50-249
## 7208 Masterâ\200\231s <NA>
## 7209 Bachelorâ\200\231s 1000-9,999
## 7210 Masterâ\200\231s 0-49
## 7211 Bachelorâ\200\231s 1000-9,999
## 7212 Masterâ\200\231s 0-49
## 7213 Masterâ\200\231s > 10,000
## 7214 Bachelorâ\200\231s 50-249
## 7215 Bachelorâ\200\231s <NA>
## 7216 Professional <NA>
## 7217 Bachelorâ\200\231s 0-49
## 7218 Bachelorâ\200\231s <NA>
## 7219 Masterâ\200\231s 50-249
## 7220 Bachelorâ\200\231s 50-249
## 7221 Bachelorâ\200\231s <NA>
## 7222 Masterâ\200\231s 50-249
## 7223 Bachelorâ\200\231s 0-49
## 7224 Masterâ\200\231s <NA>
## 7225 Bachelorâ\200\231s <NA>
## 7226 Masterâ\200\231s 0-49
## 7227 Masterâ\200\231s <NA>
## 7228 Bachelorâ\200\231s <NA>
## 7229 Masterâ\200\231s 250-999
## 7230 Bachelorâ\200\231s 50-249
## 7231 Bachelorâ\200\231s 250-999
## 7232 Masterâ\200\231s <NA>
## 7233 Doctoral 1000-9,999
## 7234 Bachelorâ\200\231s 1000-9,999
## 7235 Bachelorâ\200\231s 1000-9,999
## 7236 Doctoral 50-249
## 7237 Masterâ\200\231s 1000-9,999
## 7238 Bachelorâ\200\231s 250-999
## 7239 Masterâ\200\231s 50-249
## 7240 Bachelorâ\200\231s 250-999
## 7241 Masterâ\200\231s 1000-9,999
## 7242 Masterâ\200\231s 250-999
## 7243 Doctoral <NA>
## 7244 Bachelorâ\200\231s <NA>
## 7245 Masterâ\200\231s 0-49
## 7246 Masterâ\200\231s <NA>
## 7247 Masterâ\200\231s > 10,000
## 7248 Masterâ\200\231s 0-49
## 7249 Masterâ\200\231s > 10,000
## 7250 Masterâ\200\231s 0-49
## 7251 Bachelorâ\200\231s 0-49
## 7252 Bachelorâ\200\231s > 10,000
## 7253 Doctoral 0-49
## 7254 Masterâ\200\231s 1000-9,999
## 7255 Bachelorâ\200\231s 1000-9,999
## 7256 Bachelorâ\200\231s 250-999
## 7257 Masterâ\200\231s > 10,000
## 7258 Bachelorâ\200\231s 0-49
## 7259 Doctoral 0-49
## 7260 Bachelorâ\200\231s > 10,000
## 7261 Masterâ\200\231s <NA>
## 7262 Bachelorâ\200\231s 250-999
## 7263 Bachelorâ\200\231s 0-49
## 7264 Masterâ\200\231s 50-249
## 7265 Bachelorâ\200\231s > 10,000
## 7266 Doctoral <NA>
## 7267 Masterâ\200\231s > 10,000
## 7268 Masterâ\200\231s 1000-9,999
## 7269 Masterâ\200\231s > 10,000
## 7270 Masterâ\200\231s 0-49
## 7271 Masterâ\200\231s > 10,000
## 7272 Doctoral 0-49
## 7273 Bachelorâ\200\231s 250-999
## 7274 Bachelorâ\200\231s 0-49
## 7275 Masterâ\200\231s 1000-9,999
## 7276 Doctoral 250-999
## 7277 Doctoral 1000-9,999
## 7278 Professional 0-49
## 7279 Masterâ\200\231s 1000-9,999
## 7280 Masterâ\200\231s 0-49
## 7281 Masterâ\200\231s 250-999
## 7282 Masterâ\200\231s 1000-9,999
## 7283 Masterâ\200\231s 0-49
## 7284 Bachelorâ\200\231s 1000-9,999
## 7285 Masterâ\200\231s > 10,000
## 7286 Professional > 10,000
## 7287 Masterâ\200\231s 250-999
## 7288 Bachelorâ\200\231s > 10,000
## 7289 Masterâ\200\231s 1000-9,999
## 7290 Masterâ\200\231s 1000-9,999
## 7291 Masterâ\200\231s <NA>
## 7292 Masterâ\200\231s 0-49
## 7293 Bachelorâ\200\231s 0-49
## 7294 Bachelorâ\200\231s 0-49
## 7295 Doctoral <NA>
## 7296 Doctoral > 10,000
## 7297 Doctoral 50-249
## 7298 Doctoral 250-999
## 7299 Bachelorâ\200\231s 0-49
## 7300 Masterâ\200\231s > 10,000
## 7301 Masterâ\200\231s <NA>
## 7302 Bachelorâ\200\231s <NA>
## 7303 Bachelorâ\200\231s 1000-9,999
## 7304 Bachelorâ\200\231s <NA>
## 7305 Masterâ\200\231s 1000-9,999
## 7306 Masterâ\200\231s 50-249
## 7307 Professional <NA>
## 7308 Doctoral > 10,000
## 7309 Bachelorâ\200\231s 0-49
## 7310 Masterâ\200\231s > 10,000
## 7311 Masterâ\200\231s 1000-9,999
## 7312 Masterâ\200\231s > 10,000
## 7313 Masterâ\200\231s > 10,000
## 7314 Masterâ\200\231s > 10,000
## 7315 Masterâ\200\231s > 10,000
## 7316 Bachelorâ\200\231s 0-49
## 7317 Bachelorâ\200\231s <NA>
## 7318 Masterâ\200\231s 250-999
## 7319 Masterâ\200\231s 1000-9,999
## 7320 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 7321 Masterâ\200\231s 250-999
## 7322 Masterâ\200\231s 0-49
## 7323 Masterâ\200\231s 50-249
## 7324 Bachelorâ\200\231s 50-249
## 7325 Masterâ\200\231s 50-249
## 7326 Bachelorâ\200\231s 1000-9,999
## 7327 Masterâ\200\231s <NA>
## 7328 Masterâ\200\231s <NA>
## 7329 Doctoral 50-249
## 7330 Bachelorâ\200\231s <NA>
## 7331 Bachelorâ\200\231s <NA>
## 7332 Bachelorâ\200\231s 1000-9,999
## 7333 Masterâ\200\231s 0-49
## 7334 Masterâ\200\231s 1000-9,999
## 7335 Bachelorâ\200\231s 0-49
## 7336 Doctoral 250-999
## 7337 Masterâ\200\231s 50-249
## 7338 Bachelorâ\200\231s <NA>
## 7339 Doctoral 0-49
## 7340 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 7341 Bachelorâ\200\231s <NA>
## 7342 Bachelorâ\200\231s 0-49
## 7343 Masterâ\200\231s > 10,000
## 7344 Doctoral 50-249
## 7345 Bachelorâ\200\231s 0-49
## 7346 Masterâ\200\231s > 10,000
## 7347 Masterâ\200\231s <NA>
## 7348 Bachelorâ\200\231s 1000-9,999
## 7349 Bachelorâ\200\231s 50-249
## 7350 Bachelorâ\200\231s <NA>
## 7351 Masterâ\200\231s 1000-9,999
## 7352 Bachelorâ\200\231s > 10,000
## 7353 Masterâ\200\231s 0-49
## 7354 Masterâ\200\231s 0-49
## 7355 Masterâ\200\231s 1000-9,999
## 7356 Doctoral 0-49
## 7357 Bachelorâ\200\231s 1000-9,999
## 7358 Masterâ\200\231s <NA>
## 7359 Masterâ\200\231s 0-49
## 7360 Masterâ\200\231s <NA>
## 7361 No formal education past high school > 10,000
## 7362 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 7363 Doctoral 0-49
## 7364 Doctoral 250-999
## 7365 Masterâ\200\231s 50-249
## 7366 Masterâ\200\231s 1000-9,999
## 7367 Bachelorâ\200\231s 50-249
## 7368 Bachelorâ\200\231s <NA>
## 7369 Bachelorâ\200\231s > 10,000
## 7370 Bachelorâ\200\231s 0-49
## 7371 Masterâ\200\231s 50-249
## 7372 Masterâ\200\231s 0-49
## 7373 Bachelorâ\200\231s <NA>
## 7374 Masterâ\200\231s 1000-9,999
## 7375 Doctoral 0-49
## 7376 Bachelorâ\200\231s > 10,000
## 7377 Bachelorâ\200\231s 250-999
## 7378 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 7379 Doctoral 1000-9,999
## 7380 Bachelorâ\200\231s 50-249
## 7381 Doctoral 1000-9,999
## 7382 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 7383 No formal education past high school 0-49
## 7384 Masterâ\200\231s 50-249
## 7385 Bachelorâ\200\231s 50-249
## 7386 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 7387 Bachelorâ\200\231s > 10,000
## 7388 Bachelorâ\200\231s > 10,000
## 7389 Bachelorâ\200\231s 250-999
## 7390 Doctoral 1000-9,999
## 7391 Masterâ\200\231s 0-49
## 7392 Masterâ\200\231s 0-49
## 7393 Masterâ\200\231s 0-49
## 7394 Doctoral > 10,000
## 7395 Masterâ\200\231s 250-999
## 7396 Masterâ\200\231s 0-49
## 7397 Masterâ\200\231s 250-999
## 7398 Masterâ\200\231s <NA>
## 7399 Doctoral 0-49
## 7400 Bachelorâ\200\231s 250-999
## 7401 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 7402 Doctoral > 10,000
## 7403 Masterâ\200\231s > 10,000
## 7404 Masterâ\200\231s 50-249
## 7405 Masterâ\200\231s 1000-9,999
## 7406 Masterâ\200\231s 50-249
## 7407 Masterâ\200\231s 0-49
## 7408 Doctoral 1000-9,999
## 7409 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 7410 Masterâ\200\231s 250-999
## 7411 Masterâ\200\231s 50-249
## 7412 Bachelorâ\200\231s <NA>
## 7413 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 7414 Doctoral <NA>
## 7415 Professional 0-49
## 7416 Bachelorâ\200\231s <NA>
## 7417 Doctoral 0-49
## 7418 Bachelorâ\200\231s <NA>
## 7419 Bachelorâ\200\231s 50-249
## 7420 Masterâ\200\231s 0-49
## 7421 Bachelorâ\200\231s 250-999
## 7422 Doctoral 0-49
## 7423 Masterâ\200\231s <NA>
## 7424 Bachelorâ\200\231s <NA>
## 7425 Masterâ\200\231s <NA>
## 7426 Bachelorâ\200\231s > 10,000
## 7427 Doctoral 250-999
## 7428 Bachelorâ\200\231s 1000-9,999
## 7429 Masterâ\200\231s <NA>
## 7430 Bachelorâ\200\231s <NA>
## 7431 Bachelorâ\200\231s > 10,000
## 7432 Bachelorâ\200\231s <NA>
## 7433 Masterâ\200\231s 0-49
## 7434 Bachelorâ\200\231s <NA>
## 7435 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 7436 Masterâ\200\231s 250-999
## 7437 Doctoral <NA>
## 7438 Bachelorâ\200\231s 0-49
## 7439 Masterâ\200\231s <NA>
## 7440 Masterâ\200\231s > 10,000
## 7441 Doctoral <NA>
## 7442 Masterâ\200\231s 1000-9,999
## 7443 Bachelorâ\200\231s > 10,000
## 7444 Bachelorâ\200\231s 0-49
## 7445 Bachelorâ\200\231s 1000-9,999
## 7446 Bachelorâ\200\231s <NA>
## 7447 Bachelorâ\200\231s 0-49
## 7448 Masterâ\200\231s > 10,000
## 7449 I prefer not to answer 250-999
## 7450 Doctoral 1000-9,999
## 7451 Bachelorâ\200\231s 250-999
## 7452 Masterâ\200\231s > 10,000
## 7453 Bachelorâ\200\231s 1000-9,999
## 7454 Bachelorâ\200\231s > 10,000
## 7455 Bachelorâ\200\231s <NA>
## 7456 Masterâ\200\231s 0-49
## 7457 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 7458 Masterâ\200\231s 0-49
## 7459 I prefer not to answer 1000-9,999
## 7460 Doctoral 1000-9,999
## 7461 Masterâ\200\231s 250-999
## 7462 Professional > 10,000
## 7463 Doctoral 250-999
## 7464 Bachelorâ\200\231s 0-49
## 7465 Bachelorâ\200\231s <NA>
## 7466 Doctoral 50-249
## 7467 Masterâ\200\231s 1000-9,999
## 7468 Masterâ\200\231s 50-249
## 7469 Bachelorâ\200\231s 0-49
## 7470 Masterâ\200\231s 0-49
## 7471 No formal education past high school 1000-9,999
## 7472 Masterâ\200\231s 250-999
## 7473 Bachelorâ\200\231s 0-49
## 7474 Masterâ\200\231s 1000-9,999
## 7475 Masterâ\200\231s 0-49
## 7476 Doctoral 1000-9,999
## 7477 Masterâ\200\231s <NA>
## 7478 Bachelorâ\200\231s 0-49
## 7479 Bachelorâ\200\231s > 10,000
## 7480 Masterâ\200\231s <NA>
## 7481 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 7482 Doctoral 0-49
## 7483 Masterâ\200\231s 250-999
## 7484 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 7485 Masterâ\200\231s 1000-9,999
## 7486 Bachelorâ\200\231s 0-49
## 7487 Professional <NA>
## 7488 Doctoral <NA>
## 7489 Bachelorâ\200\231s 1000-9,999
## 7490 Bachelorâ\200\231s > 10,000
## 7491 Masterâ\200\231s 1000-9,999
## 7492 Masterâ\200\231s 50-249
## 7493 Masterâ\200\231s 50-249
## 7494 Masterâ\200\231s 0-49
## 7495 Bachelorâ\200\231s <NA>
## 7496 Doctoral 0-49
## 7497 I prefer not to answer 250-999
## 7498 Bachelorâ\200\231s 0-49
## 7499 Bachelorâ\200\231s 0-49
## 7500 Masterâ\200\231s <NA>
## 7501 Masterâ\200\231s 1000-9,999
## 7502 Bachelorâ\200\231s 0-49
## 7503 Masterâ\200\231s <NA>
## 7504 Professional 50-249
## 7505 Masterâ\200\231s 0-49
## 7506 Bachelorâ\200\231s 0-49
## 7507 Bachelorâ\200\231s <NA>
## 7508 Bachelorâ\200\231s 250-999
## 7509 Masterâ\200\231s <NA>
## 7510 Masterâ\200\231s 250-999
## 7511 Masterâ\200\231s 0-49
## 7512 Bachelorâ\200\231s 0-49
## 7513 Bachelorâ\200\231s 0-49
## 7514 Masterâ\200\231s 1000-9,999
## 7515 Masterâ\200\231s 1000-9,999
## 7516 Bachelorâ\200\231s 250-999
## 7517 Masterâ\200\231s > 10,000
## 7518 Masterâ\200\231s <NA>
## 7519 Masterâ\200\231s 1000-9,999
## 7520 Bachelorâ\200\231s 1000-9,999
## 7521 No formal education past high school <NA>
## 7522 Doctoral <NA>
## 7523 Masterâ\200\231s > 10,000
## 7524 Doctoral 1000-9,999
## 7525 Doctoral > 10,000
## 7526 Masterâ\200\231s 250-999
## 7527 Masterâ\200\231s > 10,000
## 7528 Masterâ\200\231s > 10,000
## 7529 Bachelorâ\200\231s 0-49
## 7530 I prefer not to answer 50-249
## 7531 Bachelorâ\200\231s 0-49
## 7532 Masterâ\200\231s 250-999
## 7533 Bachelorâ\200\231s 1000-9,999
## 7534 Professional 250-999
## 7535 Masterâ\200\231s 250-999
## 7536 Bachelorâ\200\231s 1000-9,999
## 7537 Masterâ\200\231s 0-49
## 7538 Doctoral 0-49
## 7539 Masterâ\200\231s <NA>
## 7540 Doctoral <NA>
## 7541 Doctoral <NA>
## 7542 Masterâ\200\231s <NA>
## 7543 Masterâ\200\231s <NA>
## 7544 Masterâ\200\231s 50-249
## 7545 Masterâ\200\231s 0-49
## 7546 Doctoral 1000-9,999
## 7547 Doctoral > 10,000
## 7548 Bachelorâ\200\231s 1000-9,999
## 7549 Bachelorâ\200\231s 1000-9,999
## 7550 Masterâ\200\231s <NA>
## 7551 Masterâ\200\231s 50-249
## 7552 Bachelorâ\200\231s 0-49
## 7553 Bachelorâ\200\231s > 10,000
## 7554 Bachelorâ\200\231s > 10,000
## 7555 Masterâ\200\231s 1000-9,999
## 7556 Masterâ\200\231s <NA>
## 7557 Bachelorâ\200\231s > 10,000
## 7558 Doctoral 1000-9,999
## 7559 Bachelorâ\200\231s <NA>
## 7560 I prefer not to answer 0-49
## 7561 Doctoral 0-49
## 7562 Masterâ\200\231s > 10,000
## 7563 Doctoral 250-999
## 7564 Bachelorâ\200\231s > 10,000
## 7565 Bachelorâ\200\231s <NA>
## 7566 Doctoral 250-999
## 7567 No formal education past high school 250-999
## 7568 Bachelorâ\200\231s 250-999
## 7569 Doctoral 250-999
## 7570 Bachelorâ\200\231s <NA>
## 7571 Bachelorâ\200\231s > 10,000
## 7572 Bachelorâ\200\231s <NA>
## 7573 No formal education past high school 0-49
## 7574 Masterâ\200\231s > 10,000
## 7575 Masterâ\200\231s <NA>
## 7576 Doctoral > 10,000
## 7577 Masterâ\200\231s 1000-9,999
## 7578 Bachelorâ\200\231s <NA>
## 7579 Doctoral 250-999
## 7580 Masterâ\200\231s <NA>
## 7581 Masterâ\200\231s > 10,000
## 7582 Bachelorâ\200\231s > 10,000
## 7583 Masterâ\200\231s <NA>
## 7584 Masterâ\200\231s 250-999
## 7585 Bachelorâ\200\231s <NA>
## 7586 Professional 50-249
## 7587 Masterâ\200\231s 50-249
## 7588 Bachelorâ\200\231s <NA>
## 7589 Bachelorâ\200\231s > 10,000
## 7590 Masterâ\200\231s <NA>
## 7591 Bachelorâ\200\231s <NA>
## 7592 Masterâ\200\231s <NA>
## 7593 Masterâ\200\231s <NA>
## 7594 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 7595 Masterâ\200\231s 0-49
## 7596 Bachelorâ\200\231s 250-999
## 7597 Doctoral 1000-9,999
## 7598 Masterâ\200\231s > 10,000
## 7599 Bachelorâ\200\231s 50-249
## 7600 Masterâ\200\231s <NA>
## 7601 Bachelorâ\200\231s <NA>
## 7602 Bachelorâ\200\231s <NA>
## 7603 Bachelorâ\200\231s 0-49
## 7604 Masterâ\200\231s > 10,000
## 7605 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 7606 Professional 50-249
## 7607 Masterâ\200\231s > 10,000
## 7608 Bachelorâ\200\231s <NA>
## 7609 Professional 50-249
## 7610 Masterâ\200\231s 1000-9,999
## 7611 Bachelorâ\200\231s 1000-9,999
## 7612 Masterâ\200\231s 1000-9,999
## 7613 Doctoral 0-49
## 7614 Bachelorâ\200\231s <NA>
## 7615 Bachelorâ\200\231s <NA>
## 7616 Doctoral 0-49
## 7617 Masterâ\200\231s 50-249
## 7618 Bachelorâ\200\231s <NA>
## 7619 Masterâ\200\231s 50-249
## 7620 Masterâ\200\231s > 10,000
## 7621 Bachelorâ\200\231s <NA>
## 7622 Masterâ\200\231s > 10,000
## 7623 Doctoral 50-249
## 7624 Bachelorâ\200\231s > 10,000
## 7625 Masterâ\200\231s 50-249
## 7626 Masterâ\200\231s 1000-9,999
## 7627 Masterâ\200\231s 250-999
## 7628 Professional <NA>
## 7629 Doctoral 50-249
## 7630 Masterâ\200\231s 250-999
## 7631 Masterâ\200\231s 0-49
## 7632 Bachelorâ\200\231s 50-249
## 7633 Masterâ\200\231s <NA>
## 7634 Masterâ\200\231s > 10,000
## 7635 Bachelorâ\200\231s 250-999
## 7636 Bachelorâ\200\231s <NA>
## 7637 Masterâ\200\231s <NA>
## 7638 Bachelorâ\200\231s <NA>
## 7639 Masterâ\200\231s 0-49
## 7640 Bachelorâ\200\231s 50-249
## 7641 Bachelorâ\200\231s 50-249
## 7642 Masterâ\200\231s 250-999
## 7643 Bachelorâ\200\231s > 10,000
## 7644 Bachelorâ\200\231s 1000-9,999
## 7645 Masterâ\200\231s 50-249
## 7646 Masterâ\200\231s > 10,000
## 7647 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 7648 Bachelorâ\200\231s <NA>
## 7649 Bachelorâ\200\231s > 10,000
## 7650 Bachelorâ\200\231s 250-999
## 7651 Masterâ\200\231s 0-49
## 7652 Masterâ\200\231s 250-999
## 7653 Bachelorâ\200\231s 250-999
## 7654 Bachelorâ\200\231s <NA>
## 7655 Doctoral > 10,000
## 7656 Bachelorâ\200\231s 50-249
## 7657 Masterâ\200\231s 0-49
## 7658 Bachelorâ\200\231s 50-249
## 7659 Doctoral 250-999
## 7660 Bachelorâ\200\231s <NA>
## 7661 Masterâ\200\231s 250-999
## 7662 Masterâ\200\231s 50-249
## 7663 Bachelorâ\200\231s > 10,000
## 7664 Masterâ\200\231s <NA>
## 7665 Bachelorâ\200\231s 250-999
## 7666 Masterâ\200\231s 1000-9,999
## 7667 Bachelorâ\200\231s 250-999
## 7668 Doctoral 1000-9,999
## 7669 Bachelorâ\200\231s 1000-9,999
## 7670 Masterâ\200\231s 50-249
## 7671 Bachelorâ\200\231s > 10,000
## 7672 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 7673 Bachelorâ\200\231s 0-49
## 7674 Bachelorâ\200\231s 0-49
## 7675 Masterâ\200\231s 0-49
## 7676 Masterâ\200\231s 0-49
## 7677 Bachelorâ\200\231s 1000-9,999
## 7678 Masterâ\200\231s 1000-9,999
## 7679 Masterâ\200\231s <NA>
## 7680 Bachelorâ\200\231s 0-49
## 7681 Bachelorâ\200\231s 1000-9,999
## 7682 Masterâ\200\231s 250-999
## 7683 Bachelorâ\200\231s 0-49
## 7684 Masterâ\200\231s 1000-9,999
## 7685 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 7686 Masterâ\200\231s 250-999
## 7687 Bachelorâ\200\231s 0-49
## 7688 Bachelorâ\200\231s <NA>
## 7689 Masterâ\200\231s > 10,000
## 7690 Masterâ\200\231s <NA>
## 7691 Doctoral 1000-9,999
## 7692 Bachelorâ\200\231s <NA>
## 7693 Masterâ\200\231s <NA>
## 7694 Doctoral 0-49
## 7695 Bachelorâ\200\231s <NA>
## 7696 Doctoral 1000-9,999
## 7697 Bachelorâ\200\231s 50-249
## 7698 Masterâ\200\231s 50-249
## 7699 Masterâ\200\231s > 10,000
## 7700 Doctoral 1000-9,999
## 7701 Doctoral 250-999
## 7702 Doctoral 1000-9,999
## 7703 Bachelorâ\200\231s > 10,000
## 7704 Masterâ\200\231s 250-999
## 7705 Bachelorâ\200\231s <NA>
## 7706 Masterâ\200\231s > 10,000
## 7707 Bachelorâ\200\231s 0-49
## 7708 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 7709 No formal education past high school <NA>
## 7710 Masterâ\200\231s 50-249
## 7711 Professional > 10,000
## 7712 Masterâ\200\231s > 10,000
## 7713 Bachelorâ\200\231s 250-999
## 7714 Bachelorâ\200\231s 0-49
## 7715 Masterâ\200\231s 1000-9,999
## 7716 Bachelorâ\200\231s > 10,000
## 7717 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 7718 Doctoral 250-999
## 7719 Masterâ\200\231s 50-249
## 7720 Doctoral 250-999
## 7721 Masterâ\200\231s <NA>
## 7722 Professional > 10,000
## 7723 Masterâ\200\231s 250-999
## 7724 Bachelorâ\200\231s > 10,000
## 7725 Masterâ\200\231s 0-49
## 7726 Bachelorâ\200\231s <NA>
## 7727 Doctoral <NA>
## 7728 Masterâ\200\231s 0-49
## 7729 Doctoral 50-249
## 7730 Doctoral 50-249
## 7731 Masterâ\200\231s 1000-9,999
## 7732 Bachelorâ\200\231s 0-49
## 7733 Bachelorâ\200\231s > 10,000
## 7734 Bachelorâ\200\231s 250-999
## 7735 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 7736 Bachelorâ\200\231s <NA>
## 7737 Bachelorâ\200\231s 1000-9,999
## 7738 Masterâ\200\231s > 10,000
## 7739 Professional > 10,000
## 7740 Bachelorâ\200\231s 0-49
## 7741 Masterâ\200\231s <NA>
## 7742 Bachelorâ\200\231s 50-249
## 7743 Masterâ\200\231s 0-49
## 7744 Masterâ\200\231s <NA>
## 7745 Bachelorâ\200\231s > 10,000
## 7746 Professional <NA>
## 7747 Doctoral 50-249
## 7748 Doctoral 50-249
## 7749 Masterâ\200\231s 250-999
## 7750 Bachelorâ\200\231s 250-999
## 7751 Masterâ\200\231s 50-249
## 7752 Masterâ\200\231s 50-249
## 7753 Masterâ\200\231s > 10,000
## 7754 Masterâ\200\231s <NA>
## 7755 Bachelorâ\200\231s 1000-9,999
## 7756 Masterâ\200\231s 0-49
## 7757 Masterâ\200\231s 0-49
## 7758 Masterâ\200\231s <NA>
## 7759 Doctoral 1000-9,999
## 7760 Bachelorâ\200\231s > 10,000
## 7761 Bachelorâ\200\231s <NA>
## 7762 Doctoral 0-49
## 7763 Masterâ\200\231s 250-999
## 7764 Bachelorâ\200\231s > 10,000
## 7765 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 7766 Masterâ\200\231s 1000-9,999
## 7767 Masterâ\200\231s 50-249
## 7768 Doctoral 0-49
## 7769 Bachelorâ\200\231s <NA>
## 7770 Masterâ\200\231s > 10,000
## 7771 Masterâ\200\231s <NA>
## 7772 Doctoral 0-49
## 7773 Masterâ\200\231s > 10,000
## 7774 Professional > 10,000
## 7775 Doctoral > 10,000
## 7776 Masterâ\200\231s 250-999
## 7777 Bachelorâ\200\231s <NA>
## 7778 Masterâ\200\231s <NA>
## 7779 I prefer not to answer 1000-9,999
## 7780 Doctoral 1000-9,999
## 7781 Doctoral 1000-9,999
## 7782 Doctoral 50-249
## 7783 Masterâ\200\231s > 10,000
## 7784 Masterâ\200\231s > 10,000
## 7785 Bachelorâ\200\231s 0-49
## 7786 Doctoral 1000-9,999
## 7787 Bachelorâ\200\231s > 10,000
## 7788 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 7789 Bachelorâ\200\231s <NA>
## 7790 Masterâ\200\231s 50-249
## 7791 Doctoral 0-49
## 7792 No formal education past high school <NA>
## 7793 I prefer not to answer 50-249
## 7794 Masterâ\200\231s 1000-9,999
## 7795 Masterâ\200\231s <NA>
## 7796 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 7797 Masterâ\200\231s 1000-9,999
## 7798 Masterâ\200\231s 0-49
## 7799 Bachelorâ\200\231s 50-249
## 7800 Bachelorâ\200\231s <NA>
## 7801 Masterâ\200\231s > 10,000
## 7802 Masterâ\200\231s <NA>
## 7803 Masterâ\200\231s > 10,000
## 7804 Masterâ\200\231s <NA>
## 7805 Masterâ\200\231s 50-249
## 7806 Masterâ\200\231s <NA>
## 7807 Bachelorâ\200\231s <NA>
## 7808 Bachelorâ\200\231s > 10,000
## 7809 Doctoral 50-249
## 7810 Masterâ\200\231s > 10,000
## 7811 Masterâ\200\231s <NA>
## 7812 Bachelorâ\200\231s > 10,000
## 7813 Masterâ\200\231s > 10,000
## 7814 Bachelorâ\200\231s 0-49
## 7815 Bachelorâ\200\231s 0-49
## 7816 Bachelorâ\200\231s > 10,000
## 7817 No formal education past high school 0-49
## 7818 Bachelorâ\200\231s <NA>
## 7819 Bachelorâ\200\231s > 10,000
## 7820 Masterâ\200\231s 250-999
## 7821 Masterâ\200\231s 0-49
## 7822 Masterâ\200\231s 250-999
## 7823 Bachelorâ\200\231s 250-999
## 7824 Masterâ\200\231s 50-249
## 7825 Masterâ\200\231s 1000-9,999
## 7826 Masterâ\200\231s 0-49
## 7827 Bachelorâ\200\231s 50-249
## 7828 Masterâ\200\231s 0-49
## 7829 Bachelorâ\200\231s 250-999
## 7830 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 7831 Bachelorâ\200\231s 1000-9,999
## 7832 Masterâ\200\231s 0-49
## 7833 Bachelorâ\200\231s <NA>
## 7834 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 7835 Doctoral 250-999
## 7836 Bachelorâ\200\231s <NA>
## 7837 Masterâ\200\231s 250-999
## 7838 Masterâ\200\231s 1000-9,999
## 7839 Masterâ\200\231s 250-999
## 7840 Bachelorâ\200\231s 0-49
## 7841 Masterâ\200\231s <NA>
## 7842 Doctoral 1000-9,999
## 7843 Doctoral 50-249
## 7844 Bachelorâ\200\231s <NA>
## 7845 Masterâ\200\231s 250-999
## 7846 Doctoral > 10,000
## 7847 Masterâ\200\231s 50-249
## 7848 Masterâ\200\231s 0-49
## 7849 Masterâ\200\231s <NA>
## 7850 Doctoral 1000-9,999
## 7851 Doctoral 1000-9,999
## 7852 I prefer not to answer 0-49
## 7853 Masterâ\200\231s > 10,000
## 7854 Bachelorâ\200\231s 0-49
## 7855 Masterâ\200\231s 250-999
## 7856 Masterâ\200\231s 0-49
## 7857 Bachelorâ\200\231s 0-49
## 7858 Doctoral > 10,000
## 7859 Masterâ\200\231s 50-249
## 7860 Bachelorâ\200\231s <NA>
## 7861 Bachelorâ\200\231s 0-49
## 7862 Bachelorâ\200\231s 50-249
## 7863 Masterâ\200\231s <NA>
## 7864 Doctoral 1000-9,999
## 7865 Masterâ\200\231s <NA>
## 7866 Masterâ\200\231s 0-49
## 7867 Bachelorâ\200\231s <NA>
## 7868 Masterâ\200\231s 50-249
## 7869 Doctoral 0-49
## 7870 Bachelorâ\200\231s 0-49
## 7871 Professional > 10,000
## 7872 Bachelorâ\200\231s <NA>
## 7873 Doctoral 1000-9,999
## 7874 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 7875 Bachelorâ\200\231s > 10,000
## 7876 Masterâ\200\231s <NA>
## 7877 Bachelorâ\200\231s 1000-9,999
## 7878 Masterâ\200\231s <NA>
## 7879 Bachelorâ\200\231s <NA>
## 7880 Bachelorâ\200\231s 0-49
## 7881 Masterâ\200\231s 0-49
## 7882 Bachelorâ\200\231s 1000-9,999
## 7883 Doctoral 50-249
## 7884 Bachelorâ\200\231s <NA>
## 7885 Masterâ\200\231s 1000-9,999
## 7886 Masterâ\200\231s > 10,000
## 7887 Professional 0-49
## 7888 Bachelorâ\200\231s <NA>
## 7889 Bachelorâ\200\231s 0-49
## 7890 Masterâ\200\231s <NA>
## 7891 Masterâ\200\231s > 10,000
## 7892 Masterâ\200\231s <NA>
## 7893 Masterâ\200\231s <NA>
## 7894 Bachelorâ\200\231s 50-249
## 7895 Doctoral 1000-9,999
## 7896 Masterâ\200\231s <NA>
## 7897 Doctoral <NA>
## 7898 Bachelorâ\200\231s 1000-9,999
## 7899 Masterâ\200\231s <NA>
## 7900 Bachelorâ\200\231s 1000-9,999
## 7901 Masterâ\200\231s 50-249
## 7902 Masterâ\200\231s 250-999
## 7903 Bachelorâ\200\231s 50-249
## 7904 Masterâ\200\231s 250-999
## 7905 Bachelorâ\200\231s 0-49
## 7906 Masterâ\200\231s 50-249
## 7907 Masterâ\200\231s <NA>
## 7908 Masterâ\200\231s 250-999
## 7909 Doctoral 0-49
## 7910 Masterâ\200\231s 0-49
## 7911 Masterâ\200\231s 1000-9,999
## 7912 Masterâ\200\231s 50-249
## 7913 Bachelorâ\200\231s <NA>
## 7914 Bachelorâ\200\231s <NA>
## 7915 Doctoral 250-999
## 7916 Bachelorâ\200\231s 1000-9,999
## 7917 Bachelorâ\200\231s <NA>
## 7918 Masterâ\200\231s 50-249
## 7919 Masterâ\200\231s > 10,000
## 7920 Masterâ\200\231s <NA>
## 7921 Masterâ\200\231s 250-999
## 7922 Bachelorâ\200\231s 0-49
## 7923 Masterâ\200\231s > 10,000
## 7924 Masterâ\200\231s 250-999
## 7925 Masterâ\200\231s 0-49
## 7926 Masterâ\200\231s 0-49
## 7927 Doctoral 50-249
## 7928 Masterâ\200\231s 250-999
## 7929 Masterâ\200\231s 250-999
## 7930 Masterâ\200\231s 0-49
## 7931 Masterâ\200\231s 0-49
## 7932 Doctoral > 10,000
## 7933 Doctoral 0-49
## 7934 Bachelorâ\200\231s <NA>
## 7935 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 7936 Masterâ\200\231s 1000-9,999
## 7937 Masterâ\200\231s 50-249
## 7938 No formal education past high school 50-249
## 7939 Doctoral 1000-9,999
## 7940 Masterâ\200\231s 50-249
## 7941 Professional 0-49
## 7942 Masterâ\200\231s > 10,000
## 7943 Bachelorâ\200\231s <NA>
## 7944 Masterâ\200\231s 0-49
## 7945 Bachelorâ\200\231s <NA>
## 7946 Bachelorâ\200\231s <NA>
## 7947 Masterâ\200\231s 250-999
## 7948 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 7949 Masterâ\200\231s 250-999
## 7950 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 7951 Masterâ\200\231s 1000-9,999
## 7952 Masterâ\200\231s 1000-9,999
## 7953 Masterâ\200\231s 250-999
## 7954 Masterâ\200\231s 1000-9,999
## 7955 Masterâ\200\231s 1000-9,999
## 7956 No formal education past high school <NA>
## 7957 Doctoral 0-49
## 7958 Bachelorâ\200\231s <NA>
## 7959 Bachelorâ\200\231s 0-49
## 7960 Professional 1000-9,999
## 7961 Bachelorâ\200\231s 0-49
## 7962 Masterâ\200\231s 0-49
## 7963 Professional <NA>
## 7964 Masterâ\200\231s 1000-9,999
## 7965 Doctoral 1000-9,999
## 7966 Bachelorâ\200\231s > 10,000
## 7967 Masterâ\200\231s > 10,000
## 7968 Masterâ\200\231s 1000-9,999
## 7969 Doctoral 0-49
## 7970 Masterâ\200\231s 0-49
## 7971 Professional 50-249
## 7972 Masterâ\200\231s 0-49
## 7973 Masterâ\200\231s 50-249
## 7974 Masterâ\200\231s 250-999
## 7975 Masterâ\200\231s > 10,000
## 7976 Bachelorâ\200\231s 1000-9,999
## 7977 Masterâ\200\231s 0-49
## 7978 Masterâ\200\231s 0-49
## 7979 Masterâ\200\231s > 10,000
## 7980 Professional 250-999
## 7981 Masterâ\200\231s > 10,000
## 7982 Doctoral <NA>
## 7983 Masterâ\200\231s 1000-9,999
## 7984 Masterâ\200\231s 1000-9,999
## 7985 Doctoral <NA>
## 7986 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 7987 Bachelorâ\200\231s 1000-9,999
## 7988 Masterâ\200\231s <NA>
## 7989 Masterâ\200\231s 0-49
## 7990 Masterâ\200\231s 50-249
## 7991 Doctoral 50-249
## 7992 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 7993 Masterâ\200\231s <NA>
## 7994 Bachelorâ\200\231s <NA>
## 7995 Masterâ\200\231s 50-249
## 7996 Masterâ\200\231s > 10,000
## 7997 Masterâ\200\231s 250-999
## 7998 Doctoral 250-999
## 7999 Masterâ\200\231s 1000-9,999
## 8000 Bachelorâ\200\231s > 10,000
## 8001 Bachelorâ\200\231s > 10,000
## 8002 Doctoral 1000-9,999
## 8003 Masterâ\200\231s 1000-9,999
## 8004 Bachelorâ\200\231s > 10,000
## 8005 Doctoral 0-49
## 8006 Bachelorâ\200\231s 250-999
## 8007 Masterâ\200\231s <NA>
## 8008 Bachelorâ\200\231s > 10,000
## 8009 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 8010 Bachelorâ\200\231s <NA>
## 8011 Bachelorâ\200\231s 0-49
## 8012 Masterâ\200\231s <NA>
## 8013 Masterâ\200\231s 50-249
## 8014 Masterâ\200\231s <NA>
## 8015 Doctoral 0-49
## 8016 Doctoral 0-49
## 8017 Masterâ\200\231s <NA>
## 8018 Masterâ\200\231s > 10,000
## 8019 Masterâ\200\231s 250-999
## 8020 Bachelorâ\200\231s 50-249
## 8021 Masterâ\200\231s <NA>
## 8022 Masterâ\200\231s 1000-9,999
## 8023 Bachelorâ\200\231s > 10,000
## 8024 Masterâ\200\231s > 10,000
## 8025 Masterâ\200\231s > 10,000
## 8026 Doctoral 50-249
## 8027 Masterâ\200\231s 1000-9,999
## 8028 Bachelorâ\200\231s > 10,000
## 8029 Bachelorâ\200\231s 250-999
## 8030 Masterâ\200\231s 1000-9,999
## 8031 Masterâ\200\231s 1000-9,999
## 8032 Bachelorâ\200\231s 250-999
## 8033 Professional 50-249
## 8034 Masterâ\200\231s 0-49
## 8035 Masterâ\200\231s 1000-9,999
## 8036 Masterâ\200\231s 250-999
## 8037 Doctoral 50-249
## 8038 Masterâ\200\231s 0-49
## 8039 Masterâ\200\231s 0-49
## 8040 Masterâ\200\231s <NA>
## 8041 Masterâ\200\231s 0-49
## 8042 Bachelorâ\200\231s 0-49
## 8043 Masterâ\200\231s <NA>
## 8044 Masterâ\200\231s 50-249
## 8045 Bachelorâ\200\231s <NA>
## 8046 Bachelorâ\200\231s <NA>
## 8047 Doctoral 0-49
## 8048 Masterâ\200\231s 1000-9,999
## 8049 Masterâ\200\231s 0-49
## 8050 Bachelorâ\200\231s 1000-9,999
## 8051 Masterâ\200\231s 0-49
## 8052 Professional 250-999
## 8053 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 8054 Masterâ\200\231s 250-999
## 8055 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 8056 Bachelorâ\200\231s 50-249
## 8057 Masterâ\200\231s 50-249
## 8058 Masterâ\200\231s 50-249
## 8059 Masterâ\200\231s 50-249
## 8060 Doctoral 1000-9,999
## 8061 Bachelorâ\200\231s <NA>
## 8062 Masterâ\200\231s > 10,000
## 8063 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 8064 Bachelorâ\200\231s > 10,000
## 8065 Masterâ\200\231s 0-49
## 8066 Doctoral 0-49
## 8067 Masterâ\200\231s 250-999
## 8068 I prefer not to answer 0-49
## 8069 Masterâ\200\231s 0-49
## 8070 Masterâ\200\231s <NA>
## 8071 Bachelorâ\200\231s 0-49
## 8072 Bachelorâ\200\231s 50-249
## 8073 Masterâ\200\231s 1000-9,999
## 8074 Doctoral <NA>
## 8075 Masterâ\200\231s 50-249
## 8076 Masterâ\200\231s 0-49
## 8077 Bachelorâ\200\231s <NA>
## 8078 Masterâ\200\231s 0-49
## 8079 Masterâ\200\231s 0-49
## 8080 Bachelorâ\200\231s <NA>
## 8081 Bachelorâ\200\231s 0-49
## 8082 Masterâ\200\231s 1000-9,999
## 8083 Masterâ\200\231s <NA>
## 8084 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8085 Bachelorâ\200\231s 1000-9,999
## 8086 Masterâ\200\231s <NA>
## 8087 Doctoral > 10,000
## 8088 Masterâ\200\231s > 10,000
## 8089 Masterâ\200\231s 1000-9,999
## 8090 Masterâ\200\231s > 10,000
## 8091 Doctoral 250-999
## 8092 Masterâ\200\231s 50-249
## 8093 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8094 Bachelorâ\200\231s 1000-9,999
## 8095 Doctoral 0-49
## 8096 Bachelorâ\200\231s 50-249
## 8097 Bachelorâ\200\231s 0-49
## 8098 Masterâ\200\231s 50-249
## 8099 Doctoral 50-249
## 8100 Doctoral 1000-9,999
## 8101 Masterâ\200\231s 1000-9,999
## 8102 Doctoral 0-49
## 8103 Doctoral <NA>
## 8104 Masterâ\200\231s 0-49
## 8105 Bachelorâ\200\231s 0-49
## 8106 Masterâ\200\231s 250-999
## 8107 Doctoral 250-999
## 8108 Bachelorâ\200\231s 50-249
## 8109 Doctoral 1000-9,999
## 8110 Masterâ\200\231s > 10,000
## 8111 Bachelorâ\200\231s 1000-9,999
## 8112 Masterâ\200\231s 50-249
## 8113 Masterâ\200\231s 0-49
## 8114 Masterâ\200\231s 1000-9,999
## 8115 Doctoral > 10,000
## 8116 Masterâ\200\231s 250-999
## 8117 Masterâ\200\231s > 10,000
## 8118 Bachelorâ\200\231s 0-49
## 8119 Bachelorâ\200\231s <NA>
## 8120 Masterâ\200\231s 50-249
## 8121 Masterâ\200\231s 0-49
## 8122 Professional > 10,000
## 8123 Doctoral <NA>
## 8124 Doctoral <NA>
## 8125 Masterâ\200\231s 250-999
## 8126 Doctoral 1000-9,999
## 8127 Masterâ\200\231s 250-999
## 8128 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 8129 Masterâ\200\231s 50-249
## 8130 Masterâ\200\231s <NA>
## 8131 Masterâ\200\231s 0-49
## 8132 Professional > 10,000
## 8133 Doctoral 0-49
## 8134 Masterâ\200\231s <NA>
## 8135 Masterâ\200\231s <NA>
## 8136 Masterâ\200\231s > 10,000
## 8137 Masterâ\200\231s <NA>
## 8138 Doctoral 50-249
## 8139 Masterâ\200\231s 0-49
## 8140 Masterâ\200\231s 50-249
## 8141 Masterâ\200\231s 1000-9,999
## 8142 Masterâ\200\231s 1000-9,999
## 8143 Masterâ\200\231s 0-49
## 8144 Masterâ\200\231s > 10,000
## 8145 Doctoral 250-999
## 8146 Doctoral > 10,000
## 8147 Doctoral 0-49
## 8148 Masterâ\200\231s <NA>
## 8149 Masterâ\200\231s 0-49
## 8150 Masterâ\200\231s 250-999
## 8151 Masterâ\200\231s > 10,000
## 8152 Masterâ\200\231s <NA>
## 8153 Masterâ\200\231s <NA>
## 8154 Masterâ\200\231s 50-249
## 8155 Professional 50-249
## 8156 Masterâ\200\231s <NA>
## 8157 Masterâ\200\231s 0-49
## 8158 Doctoral 0-49
## 8159 Masterâ\200\231s 1000-9,999
## 8160 Masterâ\200\231s > 10,000
## 8161 Masterâ\200\231s > 10,000
## 8162 Doctoral 0-49
## 8163 Bachelorâ\200\231s 50-249
## 8164 Bachelorâ\200\231s 0-49
## 8165 Masterâ\200\231s 1000-9,999
## 8166 Bachelorâ\200\231s <NA>
## 8167 Masterâ\200\231s <NA>
## 8168 Doctoral > 10,000
## 8169 Bachelorâ\200\231s > 10,000
## 8170 Bachelorâ\200\231s > 10,000
## 8171 Masterâ\200\231s <NA>
## 8172 Bachelorâ\200\231s 50-249
## 8173 Bachelorâ\200\231s 0-49
## 8174 Bachelorâ\200\231s 1000-9,999
## 8175 Masterâ\200\231s <NA>
## 8176 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 8177 Doctoral 50-249
## 8178 Masterâ\200\231s > 10,000
## 8179 Bachelorâ\200\231s 0-49
## 8180 Masterâ\200\231s 50-249
## 8181 Doctoral 0-49
## 8182 Doctoral 0-49
## 8183 Bachelorâ\200\231s <NA>
## 8184 Doctoral <NA>
## 8185 Masterâ\200\231s 0-49
## 8186 Masterâ\200\231s 50-249
## 8187 Doctoral 50-249
## 8188 Masterâ\200\231s > 10,000
## 8189 Masterâ\200\231s > 10,000
## 8190 Masterâ\200\231s <NA>
## 8191 Masterâ\200\231s <NA>
## 8192 I prefer not to answer 250-999
## 8193 Bachelorâ\200\231s 50-249
## 8194 Masterâ\200\231s > 10,000
## 8195 Doctoral 0-49
## 8196 Doctoral 0-49
## 8197 Doctoral 0-49
## 8198 Masterâ\200\231s 50-249
## 8199 Masterâ\200\231s 0-49
## 8200 Masterâ\200\231s <NA>
## 8201 Doctoral 0-49
## 8202 Masterâ\200\231s <NA>
## 8203 Bachelorâ\200\231s 0-49
## 8204 Bachelorâ\200\231s 0-49
## 8205 Masterâ\200\231s 250-999
## 8206 Professional 1000-9,999
## 8207 Masterâ\200\231s > 10,000
## 8208 Masterâ\200\231s 0-49
## 8209 Bachelorâ\200\231s <NA>
## 8210 Doctoral 250-999
## 8211 Masterâ\200\231s 50-249
## 8212 Doctoral > 10,000
## 8213 Masterâ\200\231s 250-999
## 8214 Masterâ\200\231s 0-49
## 8215 Bachelorâ\200\231s 0-49
## 8216 Bachelorâ\200\231s <NA>
## 8217 Doctoral 1000-9,999
## 8218 Masterâ\200\231s 1000-9,999
## 8219 Doctoral 1000-9,999
## 8220 Masterâ\200\231s 0-49
## 8221 Bachelorâ\200\231s <NA>
## 8222 Masterâ\200\231s 0-49
## 8223 Professional 0-49
## 8224 Bachelorâ\200\231s 0-49
## 8225 Bachelorâ\200\231s <NA>
## 8226 Doctoral > 10,000
## 8227 Masterâ\200\231s 50-249
## 8228 Doctoral <NA>
## 8229 Masterâ\200\231s 0-49
## 8230 Masterâ\200\231s 250-999
## 8231 Masterâ\200\231s > 10,000
## 8232 Bachelorâ\200\231s 1000-9,999
## 8233 Masterâ\200\231s 250-999
## 8234 Masterâ\200\231s 1000-9,999
## 8235 Masterâ\200\231s 50-249
## 8236 Masterâ\200\231s > 10,000
## 8237 Masterâ\200\231s 0-49
## 8238 Masterâ\200\231s <NA>
## 8239 Masterâ\200\231s 0-49
## 8240 Doctoral 1000-9,999
## 8241 Doctoral 250-999
## 8242 Masterâ\200\231s 50-249
## 8243 Masterâ\200\231s 50-249
## 8244 Bachelorâ\200\231s 0-49
## 8245 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 8246 Masterâ\200\231s > 10,000
## 8247 Bachelorâ\200\231s <NA>
## 8248 Bachelorâ\200\231s <NA>
## 8249 Doctoral 1000-9,999
## 8250 Bachelorâ\200\231s <NA>
## 8251 Doctoral 1000-9,999
## 8252 Masterâ\200\231s > 10,000
## 8253 Masterâ\200\231s > 10,000
## 8254 Doctoral 0-49
## 8255 Masterâ\200\231s 0-49
## 8256 Bachelorâ\200\231s 1000-9,999
## 8257 I prefer not to answer <NA>
## 8258 Bachelorâ\200\231s 1000-9,999
## 8259 Doctoral > 10,000
## 8260 Masterâ\200\231s 1000-9,999
## 8261 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8262 Doctoral 1000-9,999
## 8263 Doctoral > 10,000
## 8264 Bachelorâ\200\231s 0-49
## 8265 Masterâ\200\231s 1000-9,999
## 8266 Masterâ\200\231s <NA>
## 8267 Masterâ\200\231s 250-999
## 8268 Masterâ\200\231s <NA>
## 8269 Masterâ\200\231s > 10,000
## 8270 Bachelorâ\200\231s <NA>
## 8271 Masterâ\200\231s 50-249
## 8272 Masterâ\200\231s 250-999
## 8273 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 8274 I prefer not to answer <NA>
## 8275 Masterâ\200\231s 1000-9,999
## 8276 Masterâ\200\231s > 10,000
## 8277 Doctoral 1000-9,999
## 8278 Doctoral 0-49
## 8279 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 8280 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8281 Bachelorâ\200\231s <NA>
## 8282 Masterâ\200\231s 50-249
## 8283 Masterâ\200\231s 50-249
## 8284 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 8285 Doctoral 250-999
## 8286 Masterâ\200\231s 50-249
## 8287 Masterâ\200\231s <NA>
## 8288 Doctoral <NA>
## 8289 Masterâ\200\231s 0-49
## 8290 Doctoral 250-999
## 8291 Masterâ\200\231s > 10,000
## 8292 Masterâ\200\231s <NA>
## 8293 Masterâ\200\231s > 10,000
## 8294 Masterâ\200\231s 1000-9,999
## 8295 Masterâ\200\231s 1000-9,999
## 8296 Bachelorâ\200\231s 0-49
## 8297 Masterâ\200\231s 0-49
## 8298 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 8299 Doctoral 50-249
## 8300 Bachelorâ\200\231s > 10,000
## 8301 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8302 Masterâ\200\231s 0-49
## 8303 Bachelorâ\200\231s 0-49
## 8304 Masterâ\200\231s <NA>
## 8305 Bachelorâ\200\231s > 10,000
## 8306 Bachelorâ\200\231s <NA>
## 8307 Doctoral 1000-9,999
## 8308 Masterâ\200\231s 1000-9,999
## 8309 Bachelorâ\200\231s <NA>
## 8310 Masterâ\200\231s 0-49
## 8311 Masterâ\200\231s 0-49
## 8312 Masterâ\200\231s > 10,000
## 8313 Masterâ\200\231s 250-999
## 8314 Masterâ\200\231s 50-249
## 8315 Masterâ\200\231s 1000-9,999
## 8316 Bachelorâ\200\231s 250-999
## 8317 Doctoral > 10,000
## 8318 Masterâ\200\231s > 10,000
## 8319 No formal education past high school 1000-9,999
## 8320 Masterâ\200\231s 50-249
## 8321 Bachelorâ\200\231s <NA>
## 8322 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8323 Masterâ\200\231s 0-49
## 8324 Masterâ\200\231s <NA>
## 8325 Masterâ\200\231s > 10,000
## 8326 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8327 Masterâ\200\231s > 10,000
## 8328 Masterâ\200\231s > 10,000
## 8329 Doctoral > 10,000
## 8330 Masterâ\200\231s <NA>
## 8331 Masterâ\200\231s > 10,000
## 8332 Masterâ\200\231s 1000-9,999
## 8333 Masterâ\200\231s 1000-9,999
## 8334 Masterâ\200\231s > 10,000
## 8335 Masterâ\200\231s <NA>
## 8336 I prefer not to answer 50-249
## 8337 Doctoral 250-999
## 8338 Doctoral 1000-9,999
## 8339 Doctoral 250-999
## 8340 Bachelorâ\200\231s 0-49
## 8341 Masterâ\200\231s <NA>
## 8342 Masterâ\200\231s 0-49
## 8343 Doctoral 1000-9,999
## 8344 Professional 50-249
## 8345 Masterâ\200\231s 0-49
## 8346 Bachelorâ\200\231s 0-49
## 8347 Bachelorâ\200\231s 0-49
## 8348 Masterâ\200\231s 0-49
## 8349 Masterâ\200\231s <NA>
## 8350 Masterâ\200\231s <NA>
## 8351 Masterâ\200\231s <NA>
## 8352 Masterâ\200\231s 0-49
## 8353 Masterâ\200\231s 1000-9,999
## 8354 Bachelorâ\200\231s 1000-9,999
## 8355 Masterâ\200\231s 50-249
## 8356 Masterâ\200\231s <NA>
## 8357 Masterâ\200\231s 250-999
## 8358 Masterâ\200\231s <NA>
## 8359 Bachelorâ\200\231s > 10,000
## 8360 Bachelorâ\200\231s 1000-9,999
## 8361 Doctoral 0-49
## 8362 Masterâ\200\231s 0-49
## 8363 Masterâ\200\231s 1000-9,999
## 8364 Masterâ\200\231s 1000-9,999
## 8365 Masterâ\200\231s <NA>
## 8366 Masterâ\200\231s <NA>
## 8367 Masterâ\200\231s > 10,000
## 8368 Bachelorâ\200\231s 1000-9,999
## 8369 Masterâ\200\231s 1000-9,999
## 8370 Masterâ\200\231s 0-49
## 8371 Masterâ\200\231s 250-999
## 8372 Doctoral 250-999
## 8373 Masterâ\200\231s 1000-9,999
## 8374 Masterâ\200\231s <NA>
## 8375 Masterâ\200\231s 50-249
## 8376 Masterâ\200\231s > 10,000
## 8377 Masterâ\200\231s 50-249
## 8378 Masterâ\200\231s <NA>
## 8379 Masterâ\200\231s <NA>
## 8380 Doctoral <NA>
## 8381 Masterâ\200\231s 0-49
## 8382 Masterâ\200\231s <NA>
## 8383 Doctoral <NA>
## 8384 Masterâ\200\231s 50-249
## 8385 Doctoral 50-249
## 8386 Bachelorâ\200\231s > 10,000
## 8387 Professional 50-249
## 8388 Doctoral > 10,000
## 8389 Bachelorâ\200\231s 250-999
## 8390 Masterâ\200\231s 1000-9,999
## 8391 Doctoral 250-999
## 8392 Masterâ\200\231s <NA>
## 8393 Masterâ\200\231s > 10,000
## 8394 Masterâ\200\231s 1000-9,999
## 8395 Masterâ\200\231s <NA>
## 8396 Masterâ\200\231s 250-999
## 8397 Bachelorâ\200\231s 0-49
## 8398 Bachelorâ\200\231s 1000-9,999
## 8399 Masterâ\200\231s 1000-9,999
## 8400 Bachelorâ\200\231s 0-49
## 8401 No formal education past high school 0-49
## 8402 Masterâ\200\231s 0-49
## 8403 Masterâ\200\231s 1000-9,999
## 8404 Masterâ\200\231s > 10,000
## 8405 Doctoral 1000-9,999
## 8406 Masterâ\200\231s 50-249
## 8407 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 8408 Bachelorâ\200\231s 0-49
## 8409 I prefer not to answer 0-49
## 8410 Masterâ\200\231s 250-999
## 8411 Bachelorâ\200\231s 0-49
## 8412 Masterâ\200\231s 0-49
## 8413 Doctoral 250-999
## 8414 Masterâ\200\231s 250-999
## 8415 Masterâ\200\231s 0-49
## 8416 Masterâ\200\231s 0-49
## 8417 Masterâ\200\231s > 10,000
## 8418 Bachelorâ\200\231s <NA>
## 8419 Doctoral <NA>
## 8420 Masterâ\200\231s <NA>
## 8421 Masterâ\200\231s 0-49
## 8422 Masterâ\200\231s 0-49
## 8423 Masterâ\200\231s <NA>
## 8424 Masterâ\200\231s > 10,000
## 8425 Doctoral <NA>
## 8426 Masterâ\200\231s 0-49
## 8427 Masterâ\200\231s <NA>
## 8428 Bachelorâ\200\231s 0-49
## 8429 Doctoral <NA>
## 8430 Masterâ\200\231s 1000-9,999
## 8431 Masterâ\200\231s 250-999
## 8432 Masterâ\200\231s 0-49
## 8433 Masterâ\200\231s > 10,000
## 8434 Masterâ\200\231s > 10,000
## 8435 Masterâ\200\231s 0-49
## 8436 Masterâ\200\231s 1000-9,999
## 8437 Masterâ\200\231s 250-999
## 8438 Doctoral <NA>
## 8439 Masterâ\200\231s <NA>
## 8440 Doctoral 250-999
## 8441 Bachelorâ\200\231s 1000-9,999
## 8442 Masterâ\200\231s 1000-9,999
## 8443 Masterâ\200\231s 1000-9,999
## 8444 Masterâ\200\231s 50-249
## 8445 Bachelorâ\200\231s 1000-9,999
## 8446 Masterâ\200\231s > 10,000
## 8447 Bachelorâ\200\231s 50-249
## 8448 Masterâ\200\231s > 10,000
## 8449 Masterâ\200\231s 1000-9,999
## 8450 Masterâ\200\231s <NA>
## 8451 Bachelorâ\200\231s 0-49
## 8452 Bachelorâ\200\231s 0-49
## 8453 Masterâ\200\231s 0-49
## 8454 Professional 50-249
## 8455 No formal education past high school > 10,000
## 8456 Bachelorâ\200\231s <NA>
## 8457 Masterâ\200\231s <NA>
## 8458 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 8459 Masterâ\200\231s <NA>
## 8460 Bachelorâ\200\231s > 10,000
## 8461 Professional <NA>
## 8462 Masterâ\200\231s 250-999
## 8463 Masterâ\200\231s > 10,000
## 8464 Doctoral > 10,000
## 8465 Doctoral 1000-9,999
## 8466 Masterâ\200\231s > 10,000
## 8467 Bachelorâ\200\231s <NA>
## 8468 Masterâ\200\231s 1000-9,999
## 8469 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8470 Masterâ\200\231s > 10,000
## 8471 Masterâ\200\231s 250-999
## 8472 Masterâ\200\231s 50-249
## 8473 Doctoral 250-999
## 8474 Masterâ\200\231s <NA>
## 8475 Masterâ\200\231s 0-49
## 8476 Bachelorâ\200\231s 50-249
## 8477 Bachelorâ\200\231s > 10,000
## 8478 Bachelorâ\200\231s 0-49
## 8479 Bachelorâ\200\231s > 10,000
## 8480 Masterâ\200\231s 0-49
## 8481 Masterâ\200\231s > 10,000
## 8482 Bachelorâ\200\231s 0-49
## 8483 Bachelorâ\200\231s 1000-9,999
## 8484 Bachelorâ\200\231s 1000-9,999
## 8485 Bachelorâ\200\231s 50-249
## 8486 Bachelorâ\200\231s 1000-9,999
## 8487 Bachelorâ\200\231s <NA>
## 8488 Masterâ\200\231s 0-49
## 8489 Masterâ\200\231s 50-249
## 8490 No formal education past high school <NA>
## 8491 Bachelorâ\200\231s 0-49
## 8492 Masterâ\200\231s <NA>
## 8493 Masterâ\200\231s 1000-9,999
## 8494 Masterâ\200\231s > 10,000
## 8495 Masterâ\200\231s 250-999
## 8496 Masterâ\200\231s <NA>
## 8497 Masterâ\200\231s > 10,000
## 8498 Professional 0-49
## 8499 Masterâ\200\231s > 10,000
## 8500 Masterâ\200\231s 250-999
## 8501 Masterâ\200\231s 50-249
## 8502 Doctoral > 10,000
## 8503 Doctoral <NA>
## 8504 Bachelorâ\200\231s > 10,000
## 8505 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8506 Masterâ\200\231s 50-249
## 8507 Doctoral 0-49
## 8508 Bachelorâ\200\231s <NA>
## 8509 Doctoral 0-49
## 8510 Doctoral 0-49
## 8511 Masterâ\200\231s 1000-9,999
## 8512 Doctoral <NA>
## 8513 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 8514 Bachelorâ\200\231s 0-49
## 8515 I prefer not to answer 0-49
## 8516 Bachelorâ\200\231s 0-49
## 8517 Bachelorâ\200\231s 0-49
## 8518 Masterâ\200\231s > 10,000
## 8519 Masterâ\200\231s <NA>
## 8520 Masterâ\200\231s > 10,000
## 8521 Bachelorâ\200\231s <NA>
## 8522 Bachelorâ\200\231s 0-49
## 8523 Doctoral 0-49
## 8524 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8525 Masterâ\200\231s 250-999
## 8526 Bachelorâ\200\231s <NA>
## 8527 Bachelorâ\200\231s 1000-9,999
## 8528 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8529 Bachelorâ\200\231s <NA>
## 8530 Masterâ\200\231s > 10,000
## 8531 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 8532 Doctoral 250-999
## 8533 Masterâ\200\231s 0-49
## 8534 Bachelorâ\200\231s 0-49
## 8535 Masterâ\200\231s 0-49
## 8536 Masterâ\200\231s > 10,000
## 8537 Masterâ\200\231s 0-49
## 8538 Masterâ\200\231s <NA>
## 8539 Bachelorâ\200\231s <NA>
## 8540 Doctoral 1000-9,999
## 8541 Masterâ\200\231s 0-49
## 8542 Doctoral 250-999
## 8543 Bachelorâ\200\231s <NA>
## 8544 Bachelorâ\200\231s <NA>
## 8545 Doctoral 0-49
## 8546 Doctoral 1000-9,999
## 8547 Bachelorâ\200\231s <NA>
## 8548 Masterâ\200\231s 50-249
## 8549 Bachelorâ\200\231s 0-49
## 8550 Bachelorâ\200\231s <NA>
## 8551 Masterâ\200\231s 0-49
## 8552 I prefer not to answer 0-49
## 8553 Masterâ\200\231s 0-49
## 8554 Masterâ\200\231s 1000-9,999
## 8555 Bachelorâ\200\231s 0-49
## 8556 Masterâ\200\231s <NA>
## 8557 Bachelorâ\200\231s 1000-9,999
## 8558 Bachelorâ\200\231s <NA>
## 8559 Masterâ\200\231s <NA>
## 8560 Masterâ\200\231s 250-999
## 8561 Masterâ\200\231s 0-49
## 8562 Masterâ\200\231s 50-249
## 8563 Masterâ\200\231s > 10,000
## 8564 Doctoral 50-249
## 8565 Doctoral <NA>
## 8566 Masterâ\200\231s 250-999
## 8567 Doctoral 1000-9,999
## 8568 Doctoral <NA>
## 8569 Masterâ\200\231s 1000-9,999
## 8570 Masterâ\200\231s 250-999
## 8571 Masterâ\200\231s <NA>
## 8572 Masterâ\200\231s <NA>
## 8573 Masterâ\200\231s 0-49
## 8574 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 8575 Masterâ\200\231s > 10,000
## 8576 Masterâ\200\231s 1000-9,999
## 8577 Bachelorâ\200\231s 0-49
## 8578 Bachelorâ\200\231s > 10,000
## 8579 Bachelorâ\200\231s <NA>
## 8580 Masterâ\200\231s 1000-9,999
## 8581 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8582 Doctoral 1000-9,999
## 8583 Doctoral 250-999
## 8584 Masterâ\200\231s 0-49
## 8585 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 8586 Masterâ\200\231s <NA>
## 8587 Masterâ\200\231s 0-49
## 8588 Masterâ\200\231s 0-49
## 8589 Masterâ\200\231s 50-249
## 8590 Masterâ\200\231s 50-249
## 8591 Masterâ\200\231s <NA>
## 8592 Doctoral 1000-9,999
## 8593 Masterâ\200\231s 0-49
## 8594 Masterâ\200\231s 1000-9,999
## 8595 Masterâ\200\231s <NA>
## 8596 Bachelorâ\200\231s 0-49
## 8597 Doctoral > 10,000
## 8598 Masterâ\200\231s 1000-9,999
## 8599 Masterâ\200\231s 0-49
## 8600 Masterâ\200\231s > 10,000
## 8601 Doctoral <NA>
## 8602 Masterâ\200\231s 0-49
## 8603 Masterâ\200\231s > 10,000
## 8604 Masterâ\200\231s 0-49
## 8605 Professional 0-49
## 8606 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 8607 Masterâ\200\231s 50-249
## 8608 Masterâ\200\231s > 10,000
## 8609 Masterâ\200\231s 0-49
## 8610 Masterâ\200\231s 1000-9,999
## 8611 Masterâ\200\231s > 10,000
## 8612 Masterâ\200\231s 50-249
## 8613 Masterâ\200\231s 1000-9,999
## 8614 Doctoral > 10,000
## 8615 Doctoral 1000-9,999
## 8616 Masterâ\200\231s > 10,000
## 8617 Bachelorâ\200\231s > 10,000
## 8618 Bachelorâ\200\231s 250-999
## 8619 Bachelorâ\200\231s 50-249
## 8620 Masterâ\200\231s <NA>
## 8621 Bachelorâ\200\231s 0-49
## 8622 Masterâ\200\231s 1000-9,999
## 8623 Bachelorâ\200\231s 1000-9,999
## 8624 Masterâ\200\231s 1000-9,999
## 8625 Masterâ\200\231s > 10,000
## 8626 Masterâ\200\231s <NA>
## 8627 Masterâ\200\231s 0-49
## 8628 Doctoral 50-249
## 8629 Masterâ\200\231s 50-249
## 8630 Bachelorâ\200\231s <NA>
## 8631 Masterâ\200\231s 250-999
## 8632 Masterâ\200\231s > 10,000
## 8633 Masterâ\200\231s 1000-9,999
## 8634 Masterâ\200\231s > 10,000
## 8635 Bachelorâ\200\231s 1000-9,999
## 8636 Bachelorâ\200\231s <NA>
## 8637 Bachelorâ\200\231s 1000-9,999
## 8638 Masterâ\200\231s > 10,000
## 8639 Masterâ\200\231s <NA>
## 8640 Masterâ\200\231s > 10,000
## 8641 Masterâ\200\231s 1000-9,999
## 8642 Bachelorâ\200\231s <NA>
## 8643 Doctoral 0-49
## 8644 Bachelorâ\200\231s > 10,000
## 8645 Bachelorâ\200\231s > 10,000
## 8646 Bachelorâ\200\231s > 10,000
## 8647 Bachelorâ\200\231s 0-49
## 8648 Masterâ\200\231s > 10,000
## 8649 Professional 0-49
## 8650 Masterâ\200\231s <NA>
## 8651 Bachelorâ\200\231s 0-49
## 8652 Bachelorâ\200\231s <NA>
## 8653 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8654 Doctoral 250-999
## 8655 Masterâ\200\231s <NA>
## 8656 Doctoral 250-999
## 8657 Bachelorâ\200\231s 50-249
## 8658 Bachelorâ\200\231s > 10,000
## 8659 Masterâ\200\231s 0-49
## 8660 Masterâ\200\231s 0-49
## 8661 Doctoral > 10,000
## 8662 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8663 Masterâ\200\231s <NA>
## 8664 Doctoral 1000-9,999
## 8665 Masterâ\200\231s 1000-9,999
## 8666 Bachelorâ\200\231s <NA>
## 8667 Doctoral 0-49
## 8668 No formal education past high school 0-49
## 8669 Masterâ\200\231s <NA>
## 8670 Bachelorâ\200\231s 0-49
## 8671 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8672 Masterâ\200\231s 0-49
## 8673 Masterâ\200\231s > 10,000
## 8674 Masterâ\200\231s 1000-9,999
## 8675 Doctoral 0-49
## 8676 Doctoral <NA>
## 8677 Bachelorâ\200\231s <NA>
## 8678 No formal education past high school > 10,000
## 8679 Masterâ\200\231s 50-249
## 8680 Bachelorâ\200\231s <NA>
## 8681 Bachelorâ\200\231s 0-49
## 8682 Masterâ\200\231s 1000-9,999
## 8683 Bachelorâ\200\231s 0-49
## 8684 Masterâ\200\231s <NA>
## 8685 Masterâ\200\231s 1000-9,999
## 8686 Masterâ\200\231s 0-49
## 8687 Masterâ\200\231s 50-249
## 8688 Doctoral 0-49
## 8689 Masterâ\200\231s 50-249
## 8690 Masterâ\200\231s 50-249
## 8691 Masterâ\200\231s 50-249
## 8692 Masterâ\200\231s 1000-9,999
## 8693 Bachelorâ\200\231s 250-999
## 8694 Masterâ\200\231s 0-49
## 8695 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8696 Masterâ\200\231s 1000-9,999
## 8697 Masterâ\200\231s 50-249
## 8698 I prefer not to answer 50-249
## 8699 Bachelorâ\200\231s 1000-9,999
## 8700 No formal education past high school <NA>
## 8701 Doctoral 0-49
## 8702 Masterâ\200\231s 0-49
## 8703 Masterâ\200\231s 50-249
## 8704 Bachelorâ\200\231s 50-249
## 8705 Masterâ\200\231s 50-249
## 8706 Doctoral 0-49
## 8707 Masterâ\200\231s > 10,000
## 8708 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 8709 Masterâ\200\231s 1000-9,999
## 8710 Professional 0-49
## 8711 Bachelorâ\200\231s <NA>
## 8712 Masterâ\200\231s <NA>
## 8713 Masterâ\200\231s 1000-9,999
## 8714 Professional 50-249
## 8715 Doctoral 0-49
## 8716 Bachelorâ\200\231s <NA>
## 8717 Bachelorâ\200\231s 0-49
## 8718 Masterâ\200\231s 0-49
## 8719 Doctoral 250-999
## 8720 Masterâ\200\231s 0-49
## 8721 Masterâ\200\231s <NA>
## 8722 Masterâ\200\231s 1000-9,999
## 8723 Doctoral 250-999
## 8724 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 8725 Masterâ\200\231s <NA>
## 8726 No formal education past high school 0-49
## 8727 Bachelorâ\200\231s 0-49
## 8728 Bachelorâ\200\231s 1000-9,999
## 8729 Masterâ\200\231s <NA>
## 8730 Bachelorâ\200\231s 250-999
## 8731 Bachelorâ\200\231s 50-249
## 8732 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 8733 Bachelorâ\200\231s > 10,000
## 8734 Doctoral <NA>
## 8735 Masterâ\200\231s > 10,000
## 8736 Bachelorâ\200\231s <NA>
## 8737 Bachelorâ\200\231s 1000-9,999
## 8738 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 8739 Doctoral 50-249
## 8740 Masterâ\200\231s 0-49
## 8741 Masterâ\200\231s 0-49
## 8742 Bachelorâ\200\231s 1000-9,999
## 8743 Bachelorâ\200\231s <NA>
## 8744 Masterâ\200\231s 250-999
## 8745 Masterâ\200\231s <NA>
## 8746 Masterâ\200\231s <NA>
## 8747 Bachelorâ\200\231s 50-249
## 8748 Bachelorâ\200\231s 0-49
## 8749 Masterâ\200\231s 1000-9,999
## 8750 Bachelorâ\200\231s > 10,000
## 8751 Bachelorâ\200\231s 0-49
## 8752 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8753 Masterâ\200\231s 250-999
## 8754 Doctoral 1000-9,999
## 8755 Professional 50-249
## 8756 Bachelorâ\200\231s <NA>
## 8757 I prefer not to answer 50-249
## 8758 Masterâ\200\231s > 10,000
## 8759 Bachelorâ\200\231s > 10,000
## 8760 Bachelorâ\200\231s <NA>
## 8761 Bachelorâ\200\231s 50-249
## 8762 Bachelorâ\200\231s 50-249
## 8763 Doctoral 50-249
## 8764 Masterâ\200\231s 250-999
## 8765 Masterâ\200\231s > 10,000
## 8766 Bachelorâ\200\231s 1000-9,999
## 8767 Doctoral 1000-9,999
## 8768 Masterâ\200\231s 0-49
## 8769 Bachelorâ\200\231s > 10,000
## 8770 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8771 Masterâ\200\231s 1000-9,999
## 8772 Masterâ\200\231s > 10,000
## 8773 Masterâ\200\231s 1000-9,999
## 8774 Bachelorâ\200\231s <NA>
## 8775 Doctoral 1000-9,999
## 8776 Masterâ\200\231s 250-999
## 8777 Bachelorâ\200\231s <NA>
## 8778 Doctoral > 10,000
## 8779 Masterâ\200\231s > 10,000
## 8780 Bachelorâ\200\231s <NA>
## 8781 Doctoral 250-999
## 8782 Masterâ\200\231s <NA>
## 8783 Masterâ\200\231s <NA>
## 8784 Masterâ\200\231s 0-49
## 8785 Doctoral 1000-9,999
## 8786 Doctoral 1000-9,999
## 8787 Masterâ\200\231s 0-49
## 8788 Professional 1000-9,999
## 8789 Masterâ\200\231s > 10,000
## 8790 Bachelorâ\200\231s 50-249
## 8791 Masterâ\200\231s 50-249
## 8792 Bachelorâ\200\231s > 10,000
## 8793 Bachelorâ\200\231s 50-249
## 8794 Doctoral 50-249
## 8795 Masterâ\200\231s 50-249
## 8796 Bachelorâ\200\231s <NA>
## 8797 Masterâ\200\231s 50-249
## 8798 Professional 50-249
## 8799 Bachelorâ\200\231s <NA>
## 8800 Masterâ\200\231s 250-999
## 8801 Masterâ\200\231s 1000-9,999
## 8802 Doctoral 1000-9,999
## 8803 Bachelorâ\200\231s 0-49
## 8804 Doctoral > 10,000
## 8805 I prefer not to answer 1000-9,999
## 8806 Masterâ\200\231s 0-49
## 8807 Bachelorâ\200\231s 0-49
## 8808 Bachelorâ\200\231s 1000-9,999
## 8809 Bachelorâ\200\231s <NA>
## 8810 Masterâ\200\231s <NA>
## 8811 Doctoral <NA>
## 8812 No formal education past high school 0-49
## 8813 Doctoral 1000-9,999
## 8814 Bachelorâ\200\231s 1000-9,999
## 8815 Bachelorâ\200\231s <NA>
## 8816 Professional > 10,000
## 8817 Bachelorâ\200\231s 0-49
## 8818 Professional 0-49
## 8819 Masterâ\200\231s 0-49
## 8820 Bachelorâ\200\231s 0-49
## 8821 Masterâ\200\231s <NA>
## 8822 Masterâ\200\231s 50-249
## 8823 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 8824 Bachelorâ\200\231s 50-249
## 8825 Bachelorâ\200\231s 1000-9,999
## 8826 Professional 0-49
## 8827 Doctoral 0-49
## 8828 I prefer not to answer <NA>
## 8829 Bachelorâ\200\231s <NA>
## 8830 Masterâ\200\231s > 10,000
## 8831 Doctoral > 10,000
## 8832 Masterâ\200\231s 50-249
## 8833 Masterâ\200\231s 1000-9,999
## 8834 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 8835 Bachelorâ\200\231s <NA>
## 8836 Bachelorâ\200\231s 250-999
## 8837 Masterâ\200\231s > 10,000
## 8838 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 8839 Masterâ\200\231s 1000-9,999
## 8840 Doctoral > 10,000
## 8841 Masterâ\200\231s 1000-9,999
## 8842 Masterâ\200\231s > 10,000
## 8843 Bachelorâ\200\231s <NA>
## 8844 Bachelorâ\200\231s 1000-9,999
## 8845 Masterâ\200\231s 0-49
## 8846 Masterâ\200\231s > 10,000
## 8847 Doctoral > 10,000
## 8848 Bachelorâ\200\231s > 10,000
## 8849 Bachelorâ\200\231s <NA>
## 8850 Bachelorâ\200\231s <NA>
## 8851 Masterâ\200\231s 0-49
## 8852 No formal education past high school <NA>
## 8853 Masterâ\200\231s > 10,000
## 8854 Masterâ\200\231s 1000-9,999
## 8855 Masterâ\200\231s 50-249
## 8856 Doctoral 1000-9,999
## 8857 Bachelorâ\200\231s 1000-9,999
## 8858 I prefer not to answer 0-49
## 8859 Bachelorâ\200\231s <NA>
## 8860 Masterâ\200\231s <NA>
## 8861 Doctoral 0-49
## 8862 Masterâ\200\231s 250-999
## 8863 I prefer not to answer 250-999
## 8864 Masterâ\200\231s <NA>
## 8865 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 8866 I prefer not to answer 250-999
## 8867 Masterâ\200\231s 1000-9,999
## 8868 Bachelorâ\200\231s 1000-9,999
## 8869 Doctoral > 10,000
## 8870 Doctoral > 10,000
## 8871 Doctoral 1000-9,999
## 8872 Masterâ\200\231s <NA>
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## 9091 Bachelorâ\200\231s <NA>
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## 9293 Masterâ\200\231s <NA>
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## 9422 Bachelorâ\200\231s <NA>
## 9423 Masterâ\200\231s 250-999
## 9424 Bachelorâ\200\231s 1000-9,999
## 9425 Masterâ\200\231s 0-49
## 9426 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 9427 Bachelorâ\200\231s 0-49
## 9428 Bachelorâ\200\231s 250-999
## 9429 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 9430 Bachelorâ\200\231s <NA>
## 9431 Bachelorâ\200\231s 0-49
## 9432 Masterâ\200\231s 0-49
## 9433 Masterâ\200\231s 1000-9,999
## 9434 Masterâ\200\231s 50-249
## 9435 Masterâ\200\231s 0-49
## 9436 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 9437 Masterâ\200\231s 1000-9,999
## 9438 Doctoral <NA>
## 9439 Bachelorâ\200\231s 0-49
## 9440 Doctoral 250-999
## 9441 Masterâ\200\231s <NA>
## 9442 Bachelorâ\200\231s <NA>
## 9443 Bachelorâ\200\231s 0-49
## 9444 Masterâ\200\231s 0-49
## 9445 Professional <NA>
## 9446 Masterâ\200\231s 1000-9,999
## 9447 Doctoral 250-999
## 9448 Doctoral 1000-9,999
## 9449 Bachelorâ\200\231s 50-249
## 9450 Bachelorâ\200\231s > 10,000
## 9451 Masterâ\200\231s > 10,000
## 9452 Bachelorâ\200\231s 50-249
## 9453 Bachelorâ\200\231s 50-249
## 9454 Bachelorâ\200\231s <NA>
## 9455 Masterâ\200\231s <NA>
## 9456 Masterâ\200\231s 50-249
## 9457 Doctoral 250-999
## 9458 Doctoral 1000-9,999
## 9459 Bachelorâ\200\231s 0-49
## 9460 Bachelorâ\200\231s 250-999
## 9461 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 9462 Masterâ\200\231s > 10,000
## 9463 Bachelorâ\200\231s 0-49
## 9464 Masterâ\200\231s 50-249
## 9465 Masterâ\200\231s > 10,000
## 9466 Professional > 10,000
## 9467 Bachelorâ\200\231s <NA>
## 9468 Masterâ\200\231s > 10,000
## 9469 Masterâ\200\231s > 10,000
## 9470 Masterâ\200\231s 0-49
## 9471 Masterâ\200\231s 0-49
## 9472 Bachelorâ\200\231s <NA>
## 9473 Masterâ\200\231s 0-49
## 9474 Masterâ\200\231s 1000-9,999
## 9475 Bachelorâ\200\231s 1000-9,999
## 9476 Doctoral 250-999
## 9477 Bachelorâ\200\231s <NA>
## 9478 Masterâ\200\231s > 10,000
## 9479 Bachelorâ\200\231s <NA>
## 9480 Doctoral 0-49
## 9481 Doctoral <NA>
## 9482 Bachelorâ\200\231s 250-999
## 9483 Masterâ\200\231s 1000-9,999
## 9484 Doctoral 50-249
## 9485 Masterâ\200\231s 1000-9,999
## 9486 Masterâ\200\231s 0-49
## 9487 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 9488 Masterâ\200\231s 50-249
## 9489 Doctoral 0-49
## 9490 Doctoral 1000-9,999
## 9491 Bachelorâ\200\231s <NA>
## 9492 Bachelorâ\200\231s <NA>
## 9493 Masterâ\200\231s > 10,000
## 9494 I prefer not to answer 50-249
## 9495 Masterâ\200\231s <NA>
## 9496 Masterâ\200\231s 250-999
## 9497 Bachelorâ\200\231s 50-249
## 9498 Doctoral 1000-9,999
## 9499 Doctoral 250-999
## 9500 Bachelorâ\200\231s > 10,000
## 9501 Bachelorâ\200\231s 1000-9,999
## 9502 I prefer not to answer 0-49
## 9503 Masterâ\200\231s 1000-9,999
## 9504 Bachelorâ\200\231s 0-49
## 9505 Bachelorâ\200\231s 1000-9,999
## 9506 Masterâ\200\231s <NA>
## 9507 Masterâ\200\231s > 10,000
## 9508 Bachelorâ\200\231s 250-999
## 9509 Masterâ\200\231s 50-249
## 9510 Masterâ\200\231s 0-49
## 9511 Masterâ\200\231s 0-49
## 9512 Professional 0-49
## 9513 Bachelorâ\200\231s 1000-9,999
## 9514 Masterâ\200\231s 50-249
## 9515 Doctoral 0-49
## 9516 Bachelorâ\200\231s 50-249
## 9517 I prefer not to answer 50-249
## 9518 Masterâ\200\231s 250-999
## 9519 Bachelorâ\200\231s 0-49
## 9520 Masterâ\200\231s 0-49
## 9521 Bachelorâ\200\231s 0-49
## 9522 Masterâ\200\231s 1000-9,999
## 9523 Masterâ\200\231s 50-249
## 9524 Masterâ\200\231s 1000-9,999
## 9525 Bachelorâ\200\231s 0-49
## 9526 Bachelorâ\200\231s <NA>
## 9527 Professional 50-249
## 9528 Bachelorâ\200\231s 0-49
## 9529 Masterâ\200\231s > 10,000
## 9530 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 9531 Bachelorâ\200\231s 50-249
## 9532 Bachelorâ\200\231s 1000-9,999
## 9533 Bachelorâ\200\231s > 10,000
## 9534 Masterâ\200\231s 250-999
## 9535 Masterâ\200\231s 0-49
## 9536 Bachelorâ\200\231s <NA>
## 9537 Doctoral 0-49
## 9538 Masterâ\200\231s > 10,000
## 9539 Bachelorâ\200\231s 250-999
## 9540 Masterâ\200\231s 250-999
## 9541 Masterâ\200\231s <NA>
## 9542 Masterâ\200\231s 50-249
## 9543 Professional 50-249
## 9544 Bachelorâ\200\231s <NA>
## 9545 Bachelorâ\200\231s 250-999
## 9546 Masterâ\200\231s 1000-9,999
## 9547 Bachelorâ\200\231s <NA>
## 9548 Bachelorâ\200\231s <NA>
## 9549 Masterâ\200\231s > 10,000
## 9550 Bachelorâ\200\231s 50-249
## 9551 Bachelorâ\200\231s <NA>
## 9552 Masterâ\200\231s 0-49
## 9553 Masterâ\200\231s 50-249
## 9554 Professional 250-999
## 9555 Masterâ\200\231s > 10,000
## 9556 Masterâ\200\231s 0-49
## 9557 Masterâ\200\231s 50-249
## 9558 Masterâ\200\231s <NA>
## 9559 I prefer not to answer <NA>
## 9560 Masterâ\200\231s 0-49
## 9561 Bachelorâ\200\231s 50-249
## 9562 Bachelorâ\200\231s <NA>
## 9563 Bachelorâ\200\231s 50-249
## 9564 Bachelorâ\200\231s 50-249
## 9565 Masterâ\200\231s 1000-9,999
## 9566 Masterâ\200\231s > 10,000
## 9567 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 9568 Doctoral 0-49
## 9569 Bachelorâ\200\231s 0-49
## 9570 Doctoral 0-49
## 9571 Masterâ\200\231s 1000-9,999
## 9572 Doctoral 0-49
## 9573 Bachelorâ\200\231s 0-49
## 9574 Bachelorâ\200\231s > 10,000
## 9575 Masterâ\200\231s 1000-9,999
## 9576 Bachelorâ\200\231s <NA>
## 9577 Bachelorâ\200\231s 0-49
## 9578 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 9579 Doctoral 0-49
## 9580 Doctoral 50-249
## 9581 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 9582 Masterâ\200\231s 250-999
## 9583 Bachelorâ\200\231s 0-49
## 9584 Doctoral 0-49
## 9585 Doctoral 50-249
## 9586 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 9587 Masterâ\200\231s 0-49
## 9588 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 9589 Masterâ\200\231s 1000-9,999
## 9590 Masterâ\200\231s > 10,000
## 9591 Doctoral 50-249
## 9592 Professional <NA>
## 9593 Masterâ\200\231s 0-49
## 9594 No formal education past high school 0-49
## 9595 I prefer not to answer 1000-9,999
## 9596 Masterâ\200\231s 0-49
## 9597 Masterâ\200\231s 1000-9,999
## 9598 Masterâ\200\231s > 10,000
## 9599 Masterâ\200\231s 250-999
## 9600 Bachelorâ\200\231s <NA>
## 9601 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 9602 Doctoral 250-999
## 9603 Bachelorâ\200\231s 0-49
## 9604 Bachelorâ\200\231s <NA>
## 9605 Doctoral 250-999
## 9606 Masterâ\200\231s 0-49
## 9607 Masterâ\200\231s <NA>
## 9608 Doctoral <NA>
## 9609 Masterâ\200\231s 1000-9,999
## 9610 Masterâ\200\231s <NA>
## 9611 Doctoral 1000-9,999
## 9612 Bachelorâ\200\231s > 10,000
## 9613 Masterâ\200\231s 50-249
## 9614 Masterâ\200\231s <NA>
## 9615 Masterâ\200\231s 1000-9,999
## 9616 Bachelorâ\200\231s <NA>
## 9617 Masterâ\200\231s 0-49
## 9618 Bachelorâ\200\231s > 10,000
## 9619 Masterâ\200\231s 50-249
## 9620 Bachelorâ\200\231s 1000-9,999
## 9621 Bachelorâ\200\231s <NA>
## 9622 Doctoral 1000-9,999
## 9623 Bachelorâ\200\231s 50-249
## 9624 Bachelorâ\200\231s 0-49
## 9625 Bachelorâ\200\231s 0-49
## 9626 Bachelorâ\200\231s 50-249
## 9627 Masterâ\200\231s <NA>
## 9628 Doctoral 1000-9,999
## 9629 Doctoral 1000-9,999
## 9630 Masterâ\200\231s 50-249
## 9631 Bachelorâ\200\231s 0-49
## 9632 Masterâ\200\231s 1000-9,999
## 9633 Doctoral 1000-9,999
## 9634 Bachelorâ\200\231s 1000-9,999
## 9635 Masterâ\200\231s 0-49
## 9636 Bachelorâ\200\231s 1000-9,999
## 9637 Bachelorâ\200\231s <NA>
## 9638 Doctoral 1000-9,999
## 9639 Bachelorâ\200\231s <NA>
## 9640 Bachelorâ\200\231s <NA>
## 9641 Masterâ\200\231s > 10,000
## 9642 Masterâ\200\231s 250-999
## 9643 Professional 50-249
## 9644 Professional 250-999
## 9645 Bachelorâ\200\231s <NA>
## 9646 Doctoral > 10,000
## 9647 Bachelorâ\200\231s > 10,000
## 9648 Bachelorâ\200\231s 50-249
## 9649 Masterâ\200\231s <NA>
## 9650 Masterâ\200\231s 50-249
## 9651 Masterâ\200\231s 1000-9,999
## 9652 Doctoral > 10,000
## 9653 Masterâ\200\231s 50-249
## 9654 I prefer not to answer 50-249
## 9655 Doctoral 0-49
## 9656 Bachelorâ\200\231s > 10,000
## 9657 Bachelorâ\200\231s <NA>
## 9658 Masterâ\200\231s 250-999
## 9659 Professional 0-49
## 9660 Masterâ\200\231s 0-49
## 9661 Doctoral 0-49
## 9662 Bachelorâ\200\231s <NA>
## 9663 Bachelorâ\200\231s <NA>
## 9664 Professional 0-49
## 9665 Bachelorâ\200\231s 50-249
## 9666 Masterâ\200\231s 1000-9,999
## 9667 Masterâ\200\231s 1000-9,999
## 9668 Masterâ\200\231s 50-249
## 9669 Masterâ\200\231s > 10,000
## 9670 Masterâ\200\231s 1000-9,999
## 9671 Masterâ\200\231s 0-49
## 9672 Bachelorâ\200\231s > 10,000
## 9673 Masterâ\200\231s 0-49
## 9674 Professional > 10,000
## 9675 Bachelorâ\200\231s 0-49
## 9676 Masterâ\200\231s 0-49
## 9677 Doctoral 50-249
## 9678 Professional 250-999
## 9679 Masterâ\200\231s 50-249
## 9680 Doctoral > 10,000
## 9681 Bachelorâ\200\231s 50-249
## 9682 Doctoral 1000-9,999
## 9683 Doctoral <NA>
## 9684 Masterâ\200\231s 0-49
## 9685 Bachelorâ\200\231s 250-999
## 9686 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 9687 Masterâ\200\231s 0-49
## 9688 Masterâ\200\231s <NA>
## 9689 Masterâ\200\231s 250-999
## 9690 Masterâ\200\231s 0-49
## 9691 Professional 0-49
## 9692 Doctoral > 10,000
## 9693 Doctoral 250-999
## 9694 Masterâ\200\231s 50-249
## 9695 I prefer not to answer > 10,000
## 9696 Masterâ\200\231s 0-49
## 9697 Masterâ\200\231s 0-49
## 9698 Masterâ\200\231s 1000-9,999
## 9699 Bachelorâ\200\231s > 10,000
## 9700 Masterâ\200\231s <NA>
## 9701 Masterâ\200\231s > 10,000
## 9702 Bachelorâ\200\231s <NA>
## 9703 Doctoral > 10,000
## 9704 Masterâ\200\231s 0-49
## 9705 Bachelorâ\200\231s 1000-9,999
## 9706 Bachelorâ\200\231s 1000-9,999
## 9707 Bachelorâ\200\231s 250-999
## 9708 Masterâ\200\231s 0-49
## 9709 Bachelorâ\200\231s 1000-9,999
## 9710 Masterâ\200\231s <NA>
## 9711 Masterâ\200\231s <NA>
## 9712 Doctoral 50-249
## 9713 Doctoral > 10,000
## 9714 Bachelorâ\200\231s <NA>
## 9715 Masterâ\200\231s 0-49
## 9716 Masterâ\200\231s <NA>
## 9717 Masterâ\200\231s <NA>
## 9718 Bachelorâ\200\231s > 10,000
## 9719 Masterâ\200\231s 250-999
## 9720 Masterâ\200\231s 0-49
## 9721 Professional <NA>
## 9722 Doctoral 1000-9,999
## 9723 Professional > 10,000
## 9724 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 9725 Doctoral 0-49
## 9726 Bachelorâ\200\231s 50-249
## 9727 Bachelorâ\200\231s <NA>
## 9728 Bachelorâ\200\231s > 10,000
## 9729 Masterâ\200\231s 250-999
## 9730 Masterâ\200\231s > 10,000
## 9731 Bachelorâ\200\231s 0-49
## 9732 Bachelorâ\200\231s 250-999
## 9733 Bachelorâ\200\231s 250-999
## 9734 Bachelorâ\200\231s 0-49
## 9735 Masterâ\200\231s 1000-9,999
## 9736 Doctoral > 10,000
## 9737 Bachelorâ\200\231s 1000-9,999
## 9738 Bachelorâ\200\231s <NA>
## 9739 Masterâ\200\231s > 10,000
## 9740 Bachelorâ\200\231s > 10,000
## 9741 Masterâ\200\231s 0-49
## 9742 Bachelorâ\200\231s 1000-9,999
## 9743 Masterâ\200\231s > 10,000
## 9744 Bachelorâ\200\231s <NA>
## 9745 Doctoral <NA>
## 9746 Doctoral 50-249
## 9747 Bachelorâ\200\231s 0-49
## 9748 Bachelorâ\200\231s <NA>
## 9749 Masterâ\200\231s 250-999
## 9750 Professional 50-249
## 9751 Masterâ\200\231s 0-49
## 9752 Bachelorâ\200\231s 50-249
## 9753 Doctoral 1000-9,999
## 9754 Bachelorâ\200\231s <NA>
## 9755 Bachelorâ\200\231s > 10,000
## 9756 Doctoral 0-49
## 9757 Doctoral 250-999
## 9758 Bachelorâ\200\231s 1000-9,999
## 9759 Bachelorâ\200\231s <NA>
## 9760 Bachelorâ\200\231s <NA>
## 9761 Bachelorâ\200\231s 250-999
## 9762 Masterâ\200\231s 50-249
## 9763 Masterâ\200\231s <NA>
## 9764 Masterâ\200\231s 0-49
## 9765 Masterâ\200\231s > 10,000
## 9766 Masterâ\200\231s > 10,000
## 9767 Masterâ\200\231s 0-49
## 9768 Bachelorâ\200\231s <NA>
## 9769 Bachelorâ\200\231s 0-49
## 9770 Bachelorâ\200\231s > 10,000
## 9771 Bachelorâ\200\231s 0-49
## 9772 Doctoral 0-49
## 9773 Masterâ\200\231s 50-249
## 9774 Masterâ\200\231s 50-249
## 9775 Masterâ\200\231s 1000-9,999
## 9776 Masterâ\200\231s <NA>
## 9777 Bachelorâ\200\231s > 10,000
## 9778 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 9779 Doctoral > 10,000
## 9780 Doctoral 50-249
## 9781 Bachelorâ\200\231s 0-49
## 9782 Bachelorâ\200\231s <NA>
## 9783 Masterâ\200\231s 50-249
## 9784 Masterâ\200\231s 250-999
## 9785 Bachelorâ\200\231s 250-999
## 9786 Masterâ\200\231s 50-249
## 9787 Bachelorâ\200\231s 0-49
## 9788 Masterâ\200\231s 0-49
## 9789 Masterâ\200\231s > 10,000
## 9790 Masterâ\200\231s 50-249
## 9791 Bachelorâ\200\231s 50-249
## 9792 Bachelorâ\200\231s > 10,000
## 9793 Masterâ\200\231s 0-49
## 9794 Doctoral 50-249
## 9795 Masterâ\200\231s 50-249
## 9796 Masterâ\200\231s 250-999
## 9797 Masterâ\200\231s 250-999
## 9798 Bachelorâ\200\231s 50-249
## 9799 Bachelorâ\200\231s <NA>
## 9800 Professional <NA>
## 9801 Masterâ\200\231s 0-49
## 9802 Bachelorâ\200\231s 250-999
## 9803 Doctoral <NA>
## 9804 Bachelorâ\200\231s 0-49
## 9805 Doctoral > 10,000
## 9806 Masterâ\200\231s > 10,000
## 9807 Doctoral > 10,000
## 9808 Professional 50-249
## 9809 Doctoral 0-49
## 9810 Masterâ\200\231s 50-249
## 9811 Bachelorâ\200\231s 1000-9,999
## 9812 Doctoral 250-999
## 9813 Doctoral 50-249
## 9814 Doctoral 50-249
## 9815 Bachelorâ\200\231s 0-49
## 9816 Bachelorâ\200\231s <NA>
## 9817 Doctoral 0-49
## 9818 Doctoral <NA>
## 9819 Bachelorâ\200\231s 50-249
## 9820 Masterâ\200\231s 250-999
## 9821 Masterâ\200\231s <NA>
## 9822 I prefer not to answer 50-249
## 9823 Masterâ\200\231s <NA>
## 9824 Bachelorâ\200\231s 0-49
## 9825 Bachelorâ\200\231s 0-49
## 9826 Masterâ\200\231s 50-249
## 9827 Masterâ\200\231s 1000-9,999
## 9828 Masterâ\200\231s 250-999
## 9829 Masterâ\200\231s 0-49
## 9830 Masterâ\200\231s <NA>
## 9831 Masterâ\200\231s 50-249
## 9832 Masterâ\200\231s <NA>
## 9833 Doctoral 250-999
## 9834 Masterâ\200\231s 50-249
## 9835 Bachelorâ\200\231s <NA>
## 9836 Bachelorâ\200\231s 50-249
## 9837 Masterâ\200\231s > 10,000
## 9838 Doctoral 250-999
## 9839 Doctoral > 10,000
## 9840 Professional 250-999
## 9841 Masterâ\200\231s 50-249
## 9842 Masterâ\200\231s 0-49
## 9843 Masterâ\200\231s > 10,000
## 9844 Doctoral 0-49
## 9845 Masterâ\200\231s <NA>
## 9846 Professional 0-49
## 9847 Bachelorâ\200\231s <NA>
## 9848 Doctoral 250-999
## 9849 Doctoral 1000-9,999
## 9850 Bachelorâ\200\231s 1000-9,999
## 9851 Masterâ\200\231s 0-49
## 9852 Doctoral > 10,000
## 9853 Masterâ\200\231s 1000-9,999
## 9854 Bachelorâ\200\231s 0-49
## 9855 Doctoral 50-249
## 9856 Bachelorâ\200\231s 50-249
## 9857 Bachelorâ\200\231s 0-49
## 9858 Masterâ\200\231s > 10,000
## 9859 Masterâ\200\231s 1000-9,999
## 9860 Bachelorâ\200\231s <NA>
## 9861 Doctoral 1000-9,999
## 9862 Masterâ\200\231s <NA>
## 9863 Masterâ\200\231s 1000-9,999
## 9864 Doctoral 50-249
## 9865 Masterâ\200\231s 0-49
## 9866 Doctoral 50-249
## 9867 Masterâ\200\231s 50-249
## 9868 Bachelorâ\200\231s 0-49
## 9869 Professional > 10,000
## 9870 Masterâ\200\231s 1000-9,999
## 9871 Bachelorâ\200\231s > 10,000
## 9872 Bachelorâ\200\231s 1000-9,999
## 9873 Doctoral <NA>
## 9874 Bachelorâ\200\231s <NA>
## 9875 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 9876 Masterâ\200\231s <NA>
## 9877 Doctoral 50-249
## 9878 Masterâ\200\231s 0-49
## 9879 Professional 0-49
## 9880 Masterâ\200\231s 50-249
## 9881 Doctoral 1000-9,999
## 9882 Bachelorâ\200\231s 1000-9,999
## 9883 Bachelorâ\200\231s 50-249
## 9884 Masterâ\200\231s 1000-9,999
## 9885 Bachelorâ\200\231s 50-249
## 9886 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 9887 Bachelorâ\200\231s 0-49
## 9888 Masterâ\200\231s 50-249
## 9889 No formal education past high school <NA>
## 9890 Masterâ\200\231s <NA>
## 9891 Masterâ\200\231s 0-49
## 9892 Doctoral <NA>
## 9893 Doctoral <NA>
## 9894 Bachelorâ\200\231s <NA>
## 9895 Doctoral <NA>
## 9896 Bachelorâ\200\231s 1000-9,999
## 9897 Professional <NA>
## 9898 I prefer not to answer > 10,000
## 9899 Masterâ\200\231s 50-249
## 9900 Doctoral <NA>
## 9901 Bachelorâ\200\231s 0-49
## 9902 Bachelorâ\200\231s 0-49
## 9903 Masterâ\200\231s 0-49
## 9904 Masterâ\200\231s <NA>
## 9905 Masterâ\200\231s 250-999
## 9906 Bachelorâ\200\231s > 10,000
## 9907 Masterâ\200\231s 0-49
## 9908 Bachelorâ\200\231s <NA>
## 9909 Masterâ\200\231s 0-49
## 9910 I prefer not to answer 1000-9,999
## 9911 Masterâ\200\231s 250-999
## 9912 Doctoral 250-999
## 9913 Masterâ\200\231s 0-49
## 9914 Doctoral 250-999
## 9915 Professional 50-249
## 9916 Masterâ\200\231s 250-999
## 9917 Masterâ\200\231s > 10,000
## 9918 Masterâ\200\231s 250-999
## 9919 Doctoral 250-999
## 9920 Masterâ\200\231s 1000-9,999
## 9921 Bachelorâ\200\231s 50-249
## 9922 Doctoral 50-249
## 9923 Doctoral 1000-9,999
## 9924 Bachelorâ\200\231s 1000-9,999
## 9925 Bachelorâ\200\231s > 10,000
## 9926 Masterâ\200\231s 0-49
## 9927 Professional 50-249
## 9928 Doctoral > 10,000
## 9929 Masterâ\200\231s <NA>
## 9930 Masterâ\200\231s <NA>
## 9931 Doctoral 50-249
## 9932 Doctoral 50-249
## 9933 Bachelorâ\200\231s <NA>
## 9934 Doctoral 250-999
## 9935 Masterâ\200\231s 1000-9,999
## 9936 Masterâ\200\231s <NA>
## 9937 Bachelorâ\200\231s 0-49
## 9938 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 9939 Doctoral 0-49
## 9940 Masterâ\200\231s 1000-9,999
## 9941 Masterâ\200\231s 1000-9,999
## 9942 Masterâ\200\231s > 10,000
## 9943 Bachelorâ\200\231s <NA>
## 9944 Bachelorâ\200\231s 250-999
## 9945 Masterâ\200\231s 0-49
## 9946 Masterâ\200\231s 1000-9,999
## 9947 Masterâ\200\231s 1000-9,999
## 9948 Masterâ\200\231s > 10,000
## 9949 Masterâ\200\231s 0-49
## 9950 Bachelorâ\200\231s <NA>
## 9951 Masterâ\200\231s 1000-9,999
## 9952 Doctoral 250-999
## 9953 Masterâ\200\231s <NA>
## 9954 Masterâ\200\231s 1000-9,999
## 9955 Masterâ\200\231s 1000-9,999
## 9956 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 9957 Masterâ\200\231s 250-999
## 9958 Masterâ\200\231s 0-49
## 9959 Doctoral <NA>
## 9960 Doctoral 1000-9,999
## 9961 Masterâ\200\231s 1000-9,999
## 9962 Masterâ\200\231s 0-49
## 9963 I prefer not to answer <NA>
## 9964 Masterâ\200\231s 1000-9,999
## 9965 Doctoral > 10,000
## 9966 Masterâ\200\231s <NA>
## 9967 Masterâ\200\231s 50-249
## 9968 Masterâ\200\231s 250-999
## 9969 Masterâ\200\231s 0-49
## 9970 Bachelorâ\200\231s 1000-9,999
## 9971 Bachelorâ\200\231s <NA>
## 9972 Masterâ\200\231s 0-49
## 9973 Professional > 10,000
## 9974 Masterâ\200\231s 1000-9,999
## 9975 I prefer not to answer 0-49
## 9976 Bachelorâ\200\231s 0-49
## 9977 Professional > 10,000
## 9978 Masterâ\200\231s > 10,000
## 9979 Bachelorâ\200\231s > 10,000
## 9980 Masterâ\200\231s 0-49
## 9981 Bachelorâ\200\231s 50-249
## 9982 Doctoral 1000-9,999
## 9983 Masterâ\200\231s 0-49
## 9984 Masterâ\200\231s > 10,000
## 9985 Masterâ\200\231s 1000-9,999
## 9986 Masterâ\200\231s <NA>
## 9987 Masterâ\200\231s > 10,000
## 9988 Bachelorâ\200\231s 1000-9,999
## 9989 Masterâ\200\231s <NA>
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## 9992 Bachelorâ\200\231s > 10,000
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## 9998 Masterâ\200\231s <NA>
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## ds_team_size
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## 9723 3-4
## 9724 <NA>
## 9725 3-4
## 9726 1-2
## 9727 <NA>
## 9728 20+
## 9729 1-2
## 9730 5-9
## 9731 0
## 9732 0
## 9733 15-19
## 9734 1-2
## 9735 1-2
## 9736 10-14
## 9737 20+
## 9738 <NA>
## 9739 3-4
## 9740 3-4
## 9741 20+
## 9742 20+
## 9743 20+
## 9744 <NA>
## 9745 <NA>
## 9746 5-9
## 9747 1-2
## 9748 <NA>
## 9749 3-4
## 9750 3-4
## 9751 1-2
## 9752 0
## 9753 20+
## 9754 <NA>
## 9755 3-4
## 9756 0
## 9757 3-4
## 9758 3-4
## 9759 <NA>
## 9760 <NA>
## 9761 1-2
## 9762 10-14
## 9763 <NA>
## 9764 3-4
## 9765 20+
## 9766 20+
## 9767 3-4
## 9768 <NA>
## 9769 1-2
## 9770 3-4
## 9771 5-9
## 9772 5-9
## 9773 3-4
## 9774 10-14
## 9775 0
## 9776 <NA>
## 9777 20+
## 9778 20+
## 9779 20+
## 9780 0
## 9781 3-4
## 9782 <NA>
## 9783 1-2
## 9784 1-2
## 9785 3-4
## 9786 1-2
## 9787 0
## 9788 5-9
## 9789 5-9
## 9790 3-4
## 9791 3-4
## 9792 0
## 9793 5-9
## 9794 3-4
## 9795 1-2
## 9796 5-9
## 9797 10-14
## 9798 0
## 9799 <NA>
## 9800 <NA>
## 9801 0
## 9802 15-19
## 9803 <NA>
## 9804 0
## 9805 0
## 9806 5-9
## 9807 5-9
## 9808 1-2
## 9809 1-2
## 9810 3-4
## 9811 20+
## 9812 20+
## 9813 20+
## 9814 5-9
## 9815 0
## 9816 <NA>
## 9817 0
## 9818 <NA>
## 9819 3-4
## 9820 20+
## 9821 <NA>
## 9822 20+
## 9823 <NA>
## 9824 0
## 9825 0
## 9826 1-2
## 9827 15-19
## 9828 3-4
## 9829 1-2
## 9830 <NA>
## 9831 1-2
## 9832 <NA>
## 9833 0
## 9834 5-9
## 9835 <NA>
## 9836 1-2
## 9837 5-9
## 9838 0
## 9839 20+
## 9840 0
## 9841 3-4
## 9842 5-9
## 9843 20+
## 9844 10-14
## 9845 <NA>
## 9846 0
## 9847 <NA>
## 9848 5-9
## 9849 1-2
## 9850 20+
## 9851 3-4
## 9852 20+
## 9853 3-4
## 9854 5-9
## 9855 20+
## 9856 0
## 9857 1-2
## 9858 20+
## 9859 20+
## 9860 <NA>
## 9861 1-2
## 9862 <NA>
## 9863 20+
## 9864 5-9
## 9865 5-9
## 9866 0
## 9867 3-4
## 9868 3-4
## 9869 20+
## 9870 3-4
## 9871 20+
## 9872 3-4
## 9873 <NA>
## 9874 <NA>
## 9875 1-2
## 9876 <NA>
## 9877 1-2
## 9878 1-2
## 9879 3-4
## 9880 1-2
## 9881 1-2
## 9882 1-2
## 9883 3-4
## 9884 15-19
## 9885 3-4
## 9886 3-4
## 9887 1-2
## 9888 3-4
## 9889 <NA>
## 9890 <NA>
## 9891 1-2
## 9892 <NA>
## 9893 <NA>
## 9894 <NA>
## 9895 <NA>
## 9896 20+
## 9897 <NA>
## 9898 20+
## 9899 5-9
## 9900 <NA>
## 9901 0
## 9902 5-9
## 9903 1-2
## 9904 <NA>
## 9905 0
## 9906 10-14
## 9907 10-14
## 9908 <NA>
## 9909 1-2
## 9910 1-2
## 9911 20+
## 9912 20+
## 9913 0
## 9914 3-4
## 9915 5-9
## 9916 0
## 9917 15-19
## 9918 1-2
## 9919 5-9
## 9920 20+
## 9921 10-14
## 9922 5-9
## 9923 10-14
## 9924 20+
## 9925 10-14
## 9926 1-2
## 9927 15-19
## 9928 20+
## 9929 <NA>
## 9930 <NA>
## 9931 15-19
## 9932 0
## 9933 <NA>
## 9934 20+
## 9935 5-9
## 9936 <NA>
## 9937 3-4
## 9938 <NA>
## 9939 5-9
## 9940 10-14
## 9941 5-9
## 9942 10-14
## 9943 <NA>
## 9944 3-4
## 9945 1-2
## 9946 10-14
## 9947 10-14
## 9948 20+
## 9949 1-2
## 9950 <NA>
## 9951 20+
## 9952 10-14
## 9953 <NA>
## 9954 20+
## 9955 10-14
## 9956 1-2
## 9957 3-4
## 9958 5-9
## 9959 <NA>
## 9960 20+
## 9961 20+
## 9962 1-2
## 9963 <NA>
## 9964 10-14
## 9965 20+
## 9966 <NA>
## 9967 1-2
## 9968 0
## 9969 1-2
## 9970 20+
## 9971 <NA>
## 9972 5-9
## 9973 20+
## 9974 20+
## 9975 0
## 9976 0
## 9977 20+
## 9978 20+
## 9979 3-4
## 9980 3-4
## 9981 1-2
## 9982 1-2
## 9983 1-2
## 9984 1-2
## 9985 3-4
## 9986 <NA>
## 9987 20+
## 9988 10-14
## 9989 <NA>
## 9990 15-19
## 9991 5-9
## 9992 20+
## 9993 3-4
## 9994 <NA>
## 9995 3-4
## 9996 1-2
## 9997 10-14
## 9998 <NA>
## 9999 3-4
## company_use_ml
## 1 I do not know
## 2 We have well established ML methods (i.e., models in production for more than 2 years)
## 3 <NA>
## 4 I do not know
## 5 No (we do not use ML methods)
## 6 We have well established ML methods (i.e., models in production for more than 2 years)
## 7 We are exploring ML methods (and may one day put a model into production)
## 8 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9 <NA>
## 10 We are exploring ML methods (and may one day put a model into production)
## 11 <NA>
## 12 We recently started using ML methods (i.e., models in production for less than 2 years)
## 13 We recently started using ML methods (i.e., models in production for less than 2 years)
## 14 I do not know
## 15 <NA>
## 16 We use ML methods for generating insights (but do not put working models into production)
## 17 We are exploring ML methods (and may one day put a model into production)
## 18 <NA>
## 19 We recently started using ML methods (i.e., models in production for less than 2 years)
## 20 We have well established ML methods (i.e., models in production for more than 2 years)
## 21 We are exploring ML methods (and may one day put a model into production)
## 22 We have well established ML methods (i.e., models in production for more than 2 years)
## 23 We are exploring ML methods (and may one day put a model into production)
## 24 No (we do not use ML methods)
## 25 We have well established ML methods (i.e., models in production for more than 2 years)
## 26 No (we do not use ML methods)
## 27 We are exploring ML methods (and may one day put a model into production)
## 28 <NA>
## 29 No (we do not use ML methods)
## 30 We use ML methods for generating insights (but do not put working models into production)
## 31 We recently started using ML methods (i.e., models in production for less than 2 years)
## 32 We are exploring ML methods (and may one day put a model into production)
## 33 No (we do not use ML methods)
## 34 We recently started using ML methods (i.e., models in production for less than 2 years)
## 35 We recently started using ML methods (i.e., models in production for less than 2 years)
## 36 We have well established ML methods (i.e., models in production for more than 2 years)
## 37 We recently started using ML methods (i.e., models in production for less than 2 years)
## 38 We are exploring ML methods (and may one day put a model into production)
## 39 We recently started using ML methods (i.e., models in production for less than 2 years)
## 40 We have well established ML methods (i.e., models in production for more than 2 years)
## 41 We are exploring ML methods (and may one day put a model into production)
## 42 <NA>
## 43 <NA>
## 44 We are exploring ML methods (and may one day put a model into production)
## 45 No (we do not use ML methods)
## 46 No (we do not use ML methods)
## 47 We are exploring ML methods (and may one day put a model into production)
## 48 No (we do not use ML methods)
## 49 No (we do not use ML methods)
## 50 We recently started using ML methods (i.e., models in production for less than 2 years)
## 51 We have well established ML methods (i.e., models in production for more than 2 years)
## 52 We have well established ML methods (i.e., models in production for more than 2 years)
## 53 <NA>
## 54 We have well established ML methods (i.e., models in production for more than 2 years)
## 55 We use ML methods for generating insights (but do not put working models into production)
## 56 No (we do not use ML methods)
## 57 No (we do not use ML methods)
## 58 I do not know
## 59 We are exploring ML methods (and may one day put a model into production)
## 60 <NA>
## 61 We recently started using ML methods (i.e., models in production for less than 2 years)
## 62 We recently started using ML methods (i.e., models in production for less than 2 years)
## 63 <NA>
## 64 We are exploring ML methods (and may one day put a model into production)
## 65 We recently started using ML methods (i.e., models in production for less than 2 years)
## 66 No (we do not use ML methods)
## 67 We have well established ML methods (i.e., models in production for more than 2 years)
## 68 We recently started using ML methods (i.e., models in production for less than 2 years)
## 69 I do not know
## 70 <NA>
## 71 We have well established ML methods (i.e., models in production for more than 2 years)
## 72 No (we do not use ML methods)
## 73 <NA>
## 74 <NA>
## 75 I do not know
## 76 <NA>
## 77 We recently started using ML methods (i.e., models in production for less than 2 years)
## 78 We use ML methods for generating insights (but do not put working models into production)
## 79 <NA>
## 80 We use ML methods for generating insights (but do not put working models into production)
## 81 We recently started using ML methods (i.e., models in production for less than 2 years)
## 82 We are exploring ML methods (and may one day put a model into production)
## 83 No (we do not use ML methods)
## 84 <NA>
## 85 We are exploring ML methods (and may one day put a model into production)
## 86 We have well established ML methods (i.e., models in production for more than 2 years)
## 87 We recently started using ML methods (i.e., models in production for less than 2 years)
## 88 We are exploring ML methods (and may one day put a model into production)
## 89 We use ML methods for generating insights (but do not put working models into production)
## 90 We recently started using ML methods (i.e., models in production for less than 2 years)
## 91 We are exploring ML methods (and may one day put a model into production)
## 92 We are exploring ML methods (and may one day put a model into production)
## 93 We have well established ML methods (i.e., models in production for more than 2 years)
## 94 We are exploring ML methods (and may one day put a model into production)
## 95 I do not know
## 96 No (we do not use ML methods)
## 97 No (we do not use ML methods)
## 98 I do not know
## 99 We have well established ML methods (i.e., models in production for more than 2 years)
## 100 We are exploring ML methods (and may one day put a model into production)
## 101 <NA>
## 102 No (we do not use ML methods)
## 103 We are exploring ML methods (and may one day put a model into production)
## 104 We are exploring ML methods (and may one day put a model into production)
## 105 We recently started using ML methods (i.e., models in production for less than 2 years)
## 106 <NA>
## 107 <NA>
## 108 We have well established ML methods (i.e., models in production for more than 2 years)
## 109 <NA>
## 110 We recently started using ML methods (i.e., models in production for less than 2 years)
## 111 We recently started using ML methods (i.e., models in production for less than 2 years)
## 112 <NA>
## 113 We have well established ML methods (i.e., models in production for more than 2 years)
## 114 We recently started using ML methods (i.e., models in production for less than 2 years)
## 115 We have well established ML methods (i.e., models in production for more than 2 years)
## 116 <NA>
## 117 <NA>
## 118 We recently started using ML methods (i.e., models in production for less than 2 years)
## 119 No (we do not use ML methods)
## 120 We have well established ML methods (i.e., models in production for more than 2 years)
## 121 We use ML methods for generating insights (but do not put working models into production)
## 122 We are exploring ML methods (and may one day put a model into production)
## 123 <NA>
## 124 We recently started using ML methods (i.e., models in production for less than 2 years)
## 125 We have well established ML methods (i.e., models in production for more than 2 years)
## 126 We use ML methods for generating insights (but do not put working models into production)
## 127 <NA>
## 128 <NA>
## 129 <NA>
## 130 We recently started using ML methods (i.e., models in production for less than 2 years)
## 131 We have well established ML methods (i.e., models in production for more than 2 years)
## 132 <NA>
## 133 No (we do not use ML methods)
## 134 We recently started using ML methods (i.e., models in production for less than 2 years)
## 135 We are exploring ML methods (and may one day put a model into production)
## 136 We have well established ML methods (i.e., models in production for more than 2 years)
## 137 We have well established ML methods (i.e., models in production for more than 2 years)
## 138 <NA>
## 139 We have well established ML methods (i.e., models in production for more than 2 years)
## 140 <NA>
## 141 No (we do not use ML methods)
## 142 We use ML methods for generating insights (but do not put working models into production)
## 143 No (we do not use ML methods)
## 144 We are exploring ML methods (and may one day put a model into production)
## 145 We use ML methods for generating insights (but do not put working models into production)
## 146 I do not know
## 147 We have well established ML methods (i.e., models in production for more than 2 years)
## 148 <NA>
## 149 <NA>
## 150 We are exploring ML methods (and may one day put a model into production)
## 151 <NA>
## 152 We are exploring ML methods (and may one day put a model into production)
## 153 We are exploring ML methods (and may one day put a model into production)
## 154 We recently started using ML methods (i.e., models in production for less than 2 years)
## 155 We have well established ML methods (i.e., models in production for more than 2 years)
## 156 We recently started using ML methods (i.e., models in production for less than 2 years)
## 157 We use ML methods for generating insights (but do not put working models into production)
## 158 We have well established ML methods (i.e., models in production for more than 2 years)
## 159 We are exploring ML methods (and may one day put a model into production)
## 160 We have well established ML methods (i.e., models in production for more than 2 years)
## 161 No (we do not use ML methods)
## 162 No (we do not use ML methods)
## 163 <NA>
## 164 <NA>
## 165 We have well established ML methods (i.e., models in production for more than 2 years)
## 166 No (we do not use ML methods)
## 167 We have well established ML methods (i.e., models in production for more than 2 years)
## 168 We have well established ML methods (i.e., models in production for more than 2 years)
## 169 We use ML methods for generating insights (but do not put working models into production)
## 170 We are exploring ML methods (and may one day put a model into production)
## 171 <NA>
## 172 <NA>
## 173 We have well established ML methods (i.e., models in production for more than 2 years)
## 174 <NA>
## 175 We have well established ML methods (i.e., models in production for more than 2 years)
## 176 <NA>
## 177 We recently started using ML methods (i.e., models in production for less than 2 years)
## 178 We have well established ML methods (i.e., models in production for more than 2 years)
## 179 <NA>
## 180 We recently started using ML methods (i.e., models in production for less than 2 years)
## 181 No (we do not use ML methods)
## 182 We use ML methods for generating insights (but do not put working models into production)
## 183 I do not know
## 184 I do not know
## 185 We have well established ML methods (i.e., models in production for more than 2 years)
## 186 No (we do not use ML methods)
## 187 We are exploring ML methods (and may one day put a model into production)
## 188 We recently started using ML methods (i.e., models in production for less than 2 years)
## 189 We have well established ML methods (i.e., models in production for more than 2 years)
## 190 We are exploring ML methods (and may one day put a model into production)
## 191 I do not know
## 192 We have well established ML methods (i.e., models in production for more than 2 years)
## 193 <NA>
## 194 We recently started using ML methods (i.e., models in production for less than 2 years)
## 195 <NA>
## 196 <NA>
## 197 <NA>
## 198 We use ML methods for generating insights (but do not put working models into production)
## 199 I do not know
## 200 We have well established ML methods (i.e., models in production for more than 2 years)
## 201 <NA>
## 202 We use ML methods for generating insights (but do not put working models into production)
## 203 We have well established ML methods (i.e., models in production for more than 2 years)
## 204 <NA>
## 205 No (we do not use ML methods)
## 206 No (we do not use ML methods)
## 207 We recently started using ML methods (i.e., models in production for less than 2 years)
## 208 We use ML methods for generating insights (but do not put working models into production)
## 209 We use ML methods for generating insights (but do not put working models into production)
## 210 We are exploring ML methods (and may one day put a model into production)
## 211 <NA>
## 212 We have well established ML methods (i.e., models in production for more than 2 years)
## 213 We use ML methods for generating insights (but do not put working models into production)
## 214 <NA>
## 215 We recently started using ML methods (i.e., models in production for less than 2 years)
## 216 <NA>
## 217 We are exploring ML methods (and may one day put a model into production)
## 218 <NA>
## 219 We have well established ML methods (i.e., models in production for more than 2 years)
## 220 We recently started using ML methods (i.e., models in production for less than 2 years)
## 221 We use ML methods for generating insights (but do not put working models into production)
## 222 We recently started using ML methods (i.e., models in production for less than 2 years)
## 223 We recently started using ML methods (i.e., models in production for less than 2 years)
## 224 We recently started using ML methods (i.e., models in production for less than 2 years)
## 225 We are exploring ML methods (and may one day put a model into production)
## 226 We recently started using ML methods (i.e., models in production for less than 2 years)
## 227 <NA>
## 228 <NA>
## 229 <NA>
## 230 We have well established ML methods (i.e., models in production for more than 2 years)
## 231 I do not know
## 232 <NA>
## 233 We have well established ML methods (i.e., models in production for more than 2 years)
## 234 We are exploring ML methods (and may one day put a model into production)
## 235 We recently started using ML methods (i.e., models in production for less than 2 years)
## 236 We use ML methods for generating insights (but do not put working models into production)
## 237 We recently started using ML methods (i.e., models in production for less than 2 years)
## 238 We have well established ML methods (i.e., models in production for more than 2 years)
## 239 No (we do not use ML methods)
## 240 No (we do not use ML methods)
## 241 We have well established ML methods (i.e., models in production for more than 2 years)
## 242 We are exploring ML methods (and may one day put a model into production)
## 243 <NA>
## 244 <NA>
## 245 We are exploring ML methods (and may one day put a model into production)
## 246 <NA>
## 247 We have well established ML methods (i.e., models in production for more than 2 years)
## 248 <NA>
## 249 We recently started using ML methods (i.e., models in production for less than 2 years)
## 250 We are exploring ML methods (and may one day put a model into production)
## 251 We recently started using ML methods (i.e., models in production for less than 2 years)
## 252 We use ML methods for generating insights (but do not put working models into production)
## 253 We recently started using ML methods (i.e., models in production for less than 2 years)
## 254 We have well established ML methods (i.e., models in production for more than 2 years)
## 255 No (we do not use ML methods)
## 256 We recently started using ML methods (i.e., models in production for less than 2 years)
## 257 <NA>
## 258 We use ML methods for generating insights (but do not put working models into production)
## 259 We have well established ML methods (i.e., models in production for more than 2 years)
## 260 No (we do not use ML methods)
## 261 We recently started using ML methods (i.e., models in production for less than 2 years)
## 262 We have well established ML methods (i.e., models in production for more than 2 years)
## 263 We have well established ML methods (i.e., models in production for more than 2 years)
## 264 We have well established ML methods (i.e., models in production for more than 2 years)
## 265 <NA>
## 266 <NA>
## 267 We are exploring ML methods (and may one day put a model into production)
## 268 We use ML methods for generating insights (but do not put working models into production)
## 269 <NA>
## 270 No (we do not use ML methods)
## 271 We have well established ML methods (i.e., models in production for more than 2 years)
## 272 We have well established ML methods (i.e., models in production for more than 2 years)
## 273 We recently started using ML methods (i.e., models in production for less than 2 years)
## 274 We are exploring ML methods (and may one day put a model into production)
## 275 <NA>
## 276 <NA>
## 277 No (we do not use ML methods)
## 278 I do not know
## 279 We recently started using ML methods (i.e., models in production for less than 2 years)
## 280 We recently started using ML methods (i.e., models in production for less than 2 years)
## 281 No (we do not use ML methods)
## 282 We recently started using ML methods (i.e., models in production for less than 2 years)
## 283 <NA>
## 284 We have well established ML methods (i.e., models in production for more than 2 years)
## 285 No (we do not use ML methods)
## 286 <NA>
## 287 <NA>
## 288 We use ML methods for generating insights (but do not put working models into production)
## 289 We recently started using ML methods (i.e., models in production for less than 2 years)
## 290 <NA>
## 291 We use ML methods for generating insights (but do not put working models into production)
## 292 We have well established ML methods (i.e., models in production for more than 2 years)
## 293 We use ML methods for generating insights (but do not put working models into production)
## 294 We recently started using ML methods (i.e., models in production for less than 2 years)
## 295 We have well established ML methods (i.e., models in production for more than 2 years)
## 296 We recently started using ML methods (i.e., models in production for less than 2 years)
## 297 We recently started using ML methods (i.e., models in production for less than 2 years)
## 298 I do not know
## 299 We have well established ML methods (i.e., models in production for more than 2 years)
## 300 We recently started using ML methods (i.e., models in production for less than 2 years)
## 301 We use ML methods for generating insights (but do not put working models into production)
## 302 We are exploring ML methods (and may one day put a model into production)
## 303 We are exploring ML methods (and may one day put a model into production)
## 304 No (we do not use ML methods)
## 305 We are exploring ML methods (and may one day put a model into production)
## 306 We recently started using ML methods (i.e., models in production for less than 2 years)
## 307 <NA>
## 308 No (we do not use ML methods)
## 309 <NA>
## 310 <NA>
## 311 We use ML methods for generating insights (but do not put working models into production)
## 312 We use ML methods for generating insights (but do not put working models into production)
## 313 We have well established ML methods (i.e., models in production for more than 2 years)
## 314 We recently started using ML methods (i.e., models in production for less than 2 years)
## 315 <NA>
## 316 We use ML methods for generating insights (but do not put working models into production)
## 317 <NA>
## 318 No (we do not use ML methods)
## 319 We recently started using ML methods (i.e., models in production for less than 2 years)
## 320 I do not know
## 321 We have well established ML methods (i.e., models in production for more than 2 years)
## 322 We recently started using ML methods (i.e., models in production for less than 2 years)
## 323 We are exploring ML methods (and may one day put a model into production)
## 324 We use ML methods for generating insights (but do not put working models into production)
## 325 <NA>
## 326 No (we do not use ML methods)
## 327 We are exploring ML methods (and may one day put a model into production)
## 328 No (we do not use ML methods)
## 329 <NA>
## 330 No (we do not use ML methods)
## 331 No (we do not use ML methods)
## 332 We recently started using ML methods (i.e., models in production for less than 2 years)
## 333 <NA>
## 334 No (we do not use ML methods)
## 335 We recently started using ML methods (i.e., models in production for less than 2 years)
## 336 We are exploring ML methods (and may one day put a model into production)
## 337 We recently started using ML methods (i.e., models in production for less than 2 years)
## 338 I do not know
## 339 We have well established ML methods (i.e., models in production for more than 2 years)
## 340 I do not know
## 341 We have well established ML methods (i.e., models in production for more than 2 years)
## 342 <NA>
## 343 We recently started using ML methods (i.e., models in production for less than 2 years)
## 344 I do not know
## 345 <NA>
## 346 <NA>
## 347 <NA>
## 348 We have well established ML methods (i.e., models in production for more than 2 years)
## 349 <NA>
## 350 <NA>
## 351 <NA>
## 352 We have well established ML methods (i.e., models in production for more than 2 years)
## 353 <NA>
## 354 I do not know
## 355 <NA>
## 356 No (we do not use ML methods)
## 357 We have well established ML methods (i.e., models in production for more than 2 years)
## 358 We have well established ML methods (i.e., models in production for more than 2 years)
## 359 We use ML methods for generating insights (but do not put working models into production)
## 360 We use ML methods for generating insights (but do not put working models into production)
## 361 We recently started using ML methods (i.e., models in production for less than 2 years)
## 362 We are exploring ML methods (and may one day put a model into production)
## 363 We are exploring ML methods (and may one day put a model into production)
## 364 We are exploring ML methods (and may one day put a model into production)
## 365 We use ML methods for generating insights (but do not put working models into production)
## 366 No (we do not use ML methods)
## 367 <NA>
## 368 We are exploring ML methods (and may one day put a model into production)
## 369 We are exploring ML methods (and may one day put a model into production)
## 370 We recently started using ML methods (i.e., models in production for less than 2 years)
## 371 We are exploring ML methods (and may one day put a model into production)
## 372 We use ML methods for generating insights (but do not put working models into production)
## 373 We use ML methods for generating insights (but do not put working models into production)
## 374 <NA>
## 375 <NA>
## 376 We recently started using ML methods (i.e., models in production for less than 2 years)
## 377 I do not know
## 378 No (we do not use ML methods)
## 379 We recently started using ML methods (i.e., models in production for less than 2 years)
## 380 We are exploring ML methods (and may one day put a model into production)
## 381 No (we do not use ML methods)
## 382 No (we do not use ML methods)
## 383 We are exploring ML methods (and may one day put a model into production)
## 384 We recently started using ML methods (i.e., models in production for less than 2 years)
## 385 We have well established ML methods (i.e., models in production for more than 2 years)
## 386 We have well established ML methods (i.e., models in production for more than 2 years)
## 387 We recently started using ML methods (i.e., models in production for less than 2 years)
## 388 I do not know
## 389 No (we do not use ML methods)
## 390 We recently started using ML methods (i.e., models in production for less than 2 years)
## 391 <NA>
## 392 <NA>
## 393 I do not know
## 394 We use ML methods for generating insights (but do not put working models into production)
## 395 We are exploring ML methods (and may one day put a model into production)
## 396 We have well established ML methods (i.e., models in production for more than 2 years)
## 397 We have well established ML methods (i.e., models in production for more than 2 years)
## 398 I do not know
## 399 We have well established ML methods (i.e., models in production for more than 2 years)
## 400 <NA>
## 401 We are exploring ML methods (and may one day put a model into production)
## 402 <NA>
## 403 We have well established ML methods (i.e., models in production for more than 2 years)
## 404 <NA>
## 405 <NA>
## 406 <NA>
## 407 We have well established ML methods (i.e., models in production for more than 2 years)
## 408 We are exploring ML methods (and may one day put a model into production)
## 409 <NA>
## 410 No (we do not use ML methods)
## 411 <NA>
## 412 No (we do not use ML methods)
## 413 We use ML methods for generating insights (but do not put working models into production)
## 414 I do not know
## 415 I do not know
## 416 <NA>
## 417 We are exploring ML methods (and may one day put a model into production)
## 418 No (we do not use ML methods)
## 419 <NA>
## 420 <NA>
## 421 We are exploring ML methods (and may one day put a model into production)
## 422 We have well established ML methods (i.e., models in production for more than 2 years)
## 423 We have well established ML methods (i.e., models in production for more than 2 years)
## 424 <NA>
## 425 No (we do not use ML methods)
## 426 We recently started using ML methods (i.e., models in production for less than 2 years)
## 427 <NA>
## 428 We recently started using ML methods (i.e., models in production for less than 2 years)
## 429 We are exploring ML methods (and may one day put a model into production)
## 430 <NA>
## 431 We are exploring ML methods (and may one day put a model into production)
## 432 <NA>
## 433 <NA>
## 434 <NA>
## 435 <NA>
## 436 We are exploring ML methods (and may one day put a model into production)
## 437 We use ML methods for generating insights (but do not put working models into production)
## 438 No (we do not use ML methods)
## 439 No (we do not use ML methods)
## 440 <NA>
## 441 <NA>
## 442 <NA>
## 443 We recently started using ML methods (i.e., models in production for less than 2 years)
## 444 I do not know
## 445 <NA>
## 446 <NA>
## 447 We recently started using ML methods (i.e., models in production for less than 2 years)
## 448 We are exploring ML methods (and may one day put a model into production)
## 449 We use ML methods for generating insights (but do not put working models into production)
## 450 We have well established ML methods (i.e., models in production for more than 2 years)
## 451 We recently started using ML methods (i.e., models in production for less than 2 years)
## 452 <NA>
## 453 We recently started using ML methods (i.e., models in production for less than 2 years)
## 454 I do not know
## 455 We have well established ML methods (i.e., models in production for more than 2 years)
## 456 We are exploring ML methods (and may one day put a model into production)
## 457 No (we do not use ML methods)
## 458 We have well established ML methods (i.e., models in production for more than 2 years)
## 459 <NA>
## 460 We recently started using ML methods (i.e., models in production for less than 2 years)
## 461 I do not know
## 462 We are exploring ML methods (and may one day put a model into production)
## 463 We have well established ML methods (i.e., models in production for more than 2 years)
## 464 <NA>
## 465 We use ML methods for generating insights (but do not put working models into production)
## 466 <NA>
## 467 We have well established ML methods (i.e., models in production for more than 2 years)
## 468 No (we do not use ML methods)
## 469 We use ML methods for generating insights (but do not put working models into production)
## 470 We have well established ML methods (i.e., models in production for more than 2 years)
## 471 <NA>
## 472 We have well established ML methods (i.e., models in production for more than 2 years)
## 473 We have well established ML methods (i.e., models in production for more than 2 years)
## 474 No (we do not use ML methods)
## 475 <NA>
## 476 We recently started using ML methods (i.e., models in production for less than 2 years)
## 477 We have well established ML methods (i.e., models in production for more than 2 years)
## 478 We recently started using ML methods (i.e., models in production for less than 2 years)
## 479 We are exploring ML methods (and may one day put a model into production)
## 480 <NA>
## 481 We are exploring ML methods (and may one day put a model into production)
## 482 No (we do not use ML methods)
## 483 We recently started using ML methods (i.e., models in production for less than 2 years)
## 484 No (we do not use ML methods)
## 485 <NA>
## 486 We are exploring ML methods (and may one day put a model into production)
## 487 We have well established ML methods (i.e., models in production for more than 2 years)
## 488 We have well established ML methods (i.e., models in production for more than 2 years)
## 489 <NA>
## 490 <NA>
## 491 We recently started using ML methods (i.e., models in production for less than 2 years)
## 492 No (we do not use ML methods)
## 493 No (we do not use ML methods)
## 494 We have well established ML methods (i.e., models in production for more than 2 years)
## 495 We are exploring ML methods (and may one day put a model into production)
## 496 We are exploring ML methods (and may one day put a model into production)
## 497 We are exploring ML methods (and may one day put a model into production)
## 498 We have well established ML methods (i.e., models in production for more than 2 years)
## 499 We have well established ML methods (i.e., models in production for more than 2 years)
## 500 We have well established ML methods (i.e., models in production for more than 2 years)
## 501 <NA>
## 502 I do not know
## 503 We have well established ML methods (i.e., models in production for more than 2 years)
## 504 We have well established ML methods (i.e., models in production for more than 2 years)
## 505 We have well established ML methods (i.e., models in production for more than 2 years)
## 506 We have well established ML methods (i.e., models in production for more than 2 years)
## 507 <NA>
## 508 We are exploring ML methods (and may one day put a model into production)
## 509 We have well established ML methods (i.e., models in production for more than 2 years)
## 510 <NA>
## 511 We use ML methods for generating insights (but do not put working models into production)
## 512 We are exploring ML methods (and may one day put a model into production)
## 513 We have well established ML methods (i.e., models in production for more than 2 years)
## 514 No (we do not use ML methods)
## 515 We have well established ML methods (i.e., models in production for more than 2 years)
## 516 I do not know
## 517 <NA>
## 518 We use ML methods for generating insights (but do not put working models into production)
## 519 <NA>
## 520 We have well established ML methods (i.e., models in production for more than 2 years)
## 521 No (we do not use ML methods)
## 522 <NA>
## 523 We recently started using ML methods (i.e., models in production for less than 2 years)
## 524 We are exploring ML methods (and may one day put a model into production)
## 525 No (we do not use ML methods)
## 526 We have well established ML methods (i.e., models in production for more than 2 years)
## 527 We recently started using ML methods (i.e., models in production for less than 2 years)
## 528 <NA>
## 529 We recently started using ML methods (i.e., models in production for less than 2 years)
## 530 <NA>
## 531 <NA>
## 532 We recently started using ML methods (i.e., models in production for less than 2 years)
## 533 We have well established ML methods (i.e., models in production for more than 2 years)
## 534 We use ML methods for generating insights (but do not put working models into production)
## 535 We have well established ML methods (i.e., models in production for more than 2 years)
## 536 <NA>
## 537 <NA>
## 538 No (we do not use ML methods)
## 539 We use ML methods for generating insights (but do not put working models into production)
## 540 <NA>
## 541 We have well established ML methods (i.e., models in production for more than 2 years)
## 542 We use ML methods for generating insights (but do not put working models into production)
## 543 <NA>
## 544 We are exploring ML methods (and may one day put a model into production)
## 545 <NA>
## 546 We have well established ML methods (i.e., models in production for more than 2 years)
## 547 We are exploring ML methods (and may one day put a model into production)
## 548 <NA>
## 549 <NA>
## 550 We recently started using ML methods (i.e., models in production for less than 2 years)
## 551 We have well established ML methods (i.e., models in production for more than 2 years)
## 552 We recently started using ML methods (i.e., models in production for less than 2 years)
## 553 We have well established ML methods (i.e., models in production for more than 2 years)
## 554 We have well established ML methods (i.e., models in production for more than 2 years)
## 555 No (we do not use ML methods)
## 556 We use ML methods for generating insights (but do not put working models into production)
## 557 We use ML methods for generating insights (but do not put working models into production)
## 558 <NA>
## 559 We recently started using ML methods (i.e., models in production for less than 2 years)
## 560 <NA>
## 561 We recently started using ML methods (i.e., models in production for less than 2 years)
## 562 We recently started using ML methods (i.e., models in production for less than 2 years)
## 563 I do not know
## 564 <NA>
## 565 We have well established ML methods (i.e., models in production for more than 2 years)
## 566 We are exploring ML methods (and may one day put a model into production)
## 567 We are exploring ML methods (and may one day put a model into production)
## 568 We have well established ML methods (i.e., models in production for more than 2 years)
## 569 We are exploring ML methods (and may one day put a model into production)
## 570 We have well established ML methods (i.e., models in production for more than 2 years)
## 571 <NA>
## 572 We recently started using ML methods (i.e., models in production for less than 2 years)
## 573 We are exploring ML methods (and may one day put a model into production)
## 574 We recently started using ML methods (i.e., models in production for less than 2 years)
## 575 <NA>
## 576 We are exploring ML methods (and may one day put a model into production)
## 577 We are exploring ML methods (and may one day put a model into production)
## 578 We recently started using ML methods (i.e., models in production for less than 2 years)
## 579 We use ML methods for generating insights (but do not put working models into production)
## 580 <NA>
## 581 We are exploring ML methods (and may one day put a model into production)
## 582 <NA>
## 583 No (we do not use ML methods)
## 584 No (we do not use ML methods)
## 585 We recently started using ML methods (i.e., models in production for less than 2 years)
## 586 No (we do not use ML methods)
## 587 We are exploring ML methods (and may one day put a model into production)
## 588 We have well established ML methods (i.e., models in production for more than 2 years)
## 589 <NA>
## 590 We have well established ML methods (i.e., models in production for more than 2 years)
## 591 <NA>
## 592 No (we do not use ML methods)
## 593 <NA>
## 594 We use ML methods for generating insights (but do not put working models into production)
## 595 We have well established ML methods (i.e., models in production for more than 2 years)
## 596 <NA>
## 597 <NA>
## 598 <NA>
## 599 <NA>
## 600 <NA>
## 601 No (we do not use ML methods)
## 602 I do not know
## 603 <NA>
## 604 <NA>
## 605 <NA>
## 606 We are exploring ML methods (and may one day put a model into production)
## 607 We use ML methods for generating insights (but do not put working models into production)
## 608 We have well established ML methods (i.e., models in production for more than 2 years)
## 609 <NA>
## 610 We are exploring ML methods (and may one day put a model into production)
## 611 No (we do not use ML methods)
## 612 I do not know
## 613 <NA>
## 614 We are exploring ML methods (and may one day put a model into production)
## 615 We are exploring ML methods (and may one day put a model into production)
## 616 No (we do not use ML methods)
## 617 No (we do not use ML methods)
## 618 We have well established ML methods (i.e., models in production for more than 2 years)
## 619 We have well established ML methods (i.e., models in production for more than 2 years)
## 620 We have well established ML methods (i.e., models in production for more than 2 years)
## 621 We have well established ML methods (i.e., models in production for more than 2 years)
## 622 <NA>
## 623 We have well established ML methods (i.e., models in production for more than 2 years)
## 624 <NA>
## 625 We are exploring ML methods (and may one day put a model into production)
## 626 We have well established ML methods (i.e., models in production for more than 2 years)
## 627 We recently started using ML methods (i.e., models in production for less than 2 years)
## 628 <NA>
## 629 We are exploring ML methods (and may one day put a model into production)
## 630 No (we do not use ML methods)
## 631 We have well established ML methods (i.e., models in production for more than 2 years)
## 632 <NA>
## 633 We recently started using ML methods (i.e., models in production for less than 2 years)
## 634 We have well established ML methods (i.e., models in production for more than 2 years)
## 635 We recently started using ML methods (i.e., models in production for less than 2 years)
## 636 We are exploring ML methods (and may one day put a model into production)
## 637 We use ML methods for generating insights (but do not put working models into production)
## 638 <NA>
## 639 <NA>
## 640 <NA>
## 641 We are exploring ML methods (and may one day put a model into production)
## 642 <NA>
## 643 We have well established ML methods (i.e., models in production for more than 2 years)
## 644 We have well established ML methods (i.e., models in production for more than 2 years)
## 645 We have well established ML methods (i.e., models in production for more than 2 years)
## 646 <NA>
## 647 <NA>
## 648 I do not know
## 649 We use ML methods for generating insights (but do not put working models into production)
## 650 We are exploring ML methods (and may one day put a model into production)
## 651 <NA>
## 652 <NA>
## 653 We have well established ML methods (i.e., models in production for more than 2 years)
## 654 <NA>
## 655 We have well established ML methods (i.e., models in production for more than 2 years)
## 656 We are exploring ML methods (and may one day put a model into production)
## 657 I do not know
## 658 We recently started using ML methods (i.e., models in production for less than 2 years)
## 659 <NA>
## 660 We have well established ML methods (i.e., models in production for more than 2 years)
## 661 We recently started using ML methods (i.e., models in production for less than 2 years)
## 662 <NA>
## 663 We have well established ML methods (i.e., models in production for more than 2 years)
## 664 <NA>
## 665 We have well established ML methods (i.e., models in production for more than 2 years)
## 666 No (we do not use ML methods)
## 667 <NA>
## 668 <NA>
## 669 No (we do not use ML methods)
## 670 <NA>
## 671 We recently started using ML methods (i.e., models in production for less than 2 years)
## 672 <NA>
## 673 We are exploring ML methods (and may one day put a model into production)
## 674 We are exploring ML methods (and may one day put a model into production)
## 675 We have well established ML methods (i.e., models in production for more than 2 years)
## 676 We recently started using ML methods (i.e., models in production for less than 2 years)
## 677 No (we do not use ML methods)
## 678 <NA>
## 679 <NA>
## 680 No (we do not use ML methods)
## 681 I do not know
## 682 We recently started using ML methods (i.e., models in production for less than 2 years)
## 683 We have well established ML methods (i.e., models in production for more than 2 years)
## 684 We recently started using ML methods (i.e., models in production for less than 2 years)
## 685 <NA>
## 686 <NA>
## 687 We recently started using ML methods (i.e., models in production for less than 2 years)
## 688 <NA>
## 689 We are exploring ML methods (and may one day put a model into production)
## 690 We have well established ML methods (i.e., models in production for more than 2 years)
## 691 We are exploring ML methods (and may one day put a model into production)
## 692 We have well established ML methods (i.e., models in production for more than 2 years)
## 693 We use ML methods for generating insights (but do not put working models into production)
## 694 We have well established ML methods (i.e., models in production for more than 2 years)
## 695 We use ML methods for generating insights (but do not put working models into production)
## 696 <NA>
## 697 We use ML methods for generating insights (but do not put working models into production)
## 698 We recently started using ML methods (i.e., models in production for less than 2 years)
## 699 We recently started using ML methods (i.e., models in production for less than 2 years)
## 700 We have well established ML methods (i.e., models in production for more than 2 years)
## 701 We have well established ML methods (i.e., models in production for more than 2 years)
## 702 <NA>
## 703 <NA>
## 704 We are exploring ML methods (and may one day put a model into production)
## 705 We have well established ML methods (i.e., models in production for more than 2 years)
## 706 I do not know
## 707 We have well established ML methods (i.e., models in production for more than 2 years)
## 708 We have well established ML methods (i.e., models in production for more than 2 years)
## 709 <NA>
## 710 <NA>
## 711 We recently started using ML methods (i.e., models in production for less than 2 years)
## 712 No (we do not use ML methods)
## 713 We use ML methods for generating insights (but do not put working models into production)
## 714 We recently started using ML methods (i.e., models in production for less than 2 years)
## 715 <NA>
## 716 No (we do not use ML methods)
## 717 We are exploring ML methods (and may one day put a model into production)
## 718 <NA>
## 719 <NA>
## 720 We recently started using ML methods (i.e., models in production for less than 2 years)
## 721 I do not know
## 722 <NA>
## 723 <NA>
## 724 We recently started using ML methods (i.e., models in production for less than 2 years)
## 725 No (we do not use ML methods)
## 726 We use ML methods for generating insights (but do not put working models into production)
## 727 We have well established ML methods (i.e., models in production for more than 2 years)
## 728 We are exploring ML methods (and may one day put a model into production)
## 729 We have well established ML methods (i.e., models in production for more than 2 years)
## 730 <NA>
## 731 We recently started using ML methods (i.e., models in production for less than 2 years)
## 732 <NA>
## 733 We recently started using ML methods (i.e., models in production for less than 2 years)
## 734 We use ML methods for generating insights (but do not put working models into production)
## 735 We recently started using ML methods (i.e., models in production for less than 2 years)
## 736 We are exploring ML methods (and may one day put a model into production)
## 737 We are exploring ML methods (and may one day put a model into production)
## 738 <NA>
## 739 <NA>
## 740 We use ML methods for generating insights (but do not put working models into production)
## 741 We have well established ML methods (i.e., models in production for more than 2 years)
## 742 <NA>
## 743 No (we do not use ML methods)
## 744 We have well established ML methods (i.e., models in production for more than 2 years)
## 745 No (we do not use ML methods)
## 746 We use ML methods for generating insights (but do not put working models into production)
## 747 <NA>
## 748 <NA>
## 749 We have well established ML methods (i.e., models in production for more than 2 years)
## 750 We recently started using ML methods (i.e., models in production for less than 2 years)
## 751 I do not know
## 752 <NA>
## 753 We use ML methods for generating insights (but do not put working models into production)
## 754 We have well established ML methods (i.e., models in production for more than 2 years)
## 755 We are exploring ML methods (and may one day put a model into production)
## 756 We recently started using ML methods (i.e., models in production for less than 2 years)
## 757 No (we do not use ML methods)
## 758 No (we do not use ML methods)
## 759 We use ML methods for generating insights (but do not put working models into production)
## 760 We are exploring ML methods (and may one day put a model into production)
## 761 We recently started using ML methods (i.e., models in production for less than 2 years)
## 762 I do not know
## 763 I do not know
## 764 We recently started using ML methods (i.e., models in production for less than 2 years)
## 765 I do not know
## 766 We have well established ML methods (i.e., models in production for more than 2 years)
## 767 No (we do not use ML methods)
## 768 We have well established ML methods (i.e., models in production for more than 2 years)
## 769 No (we do not use ML methods)
## 770 We recently started using ML methods (i.e., models in production for less than 2 years)
## 771 We use ML methods for generating insights (but do not put working models into production)
## 772 We have well established ML methods (i.e., models in production for more than 2 years)
## 773 We have well established ML methods (i.e., models in production for more than 2 years)
## 774 We have well established ML methods (i.e., models in production for more than 2 years)
## 775 <NA>
## 776 <NA>
## 777 No (we do not use ML methods)
## 778 We have well established ML methods (i.e., models in production for more than 2 years)
## 779 <NA>
## 780 We recently started using ML methods (i.e., models in production for less than 2 years)
## 781 <NA>
## 782 We recently started using ML methods (i.e., models in production for less than 2 years)
## 783 I do not know
## 784 We recently started using ML methods (i.e., models in production for less than 2 years)
## 785 <NA>
## 786 We recently started using ML methods (i.e., models in production for less than 2 years)
## 787 <NA>
## 788 <NA>
## 789 We recently started using ML methods (i.e., models in production for less than 2 years)
## 790 We recently started using ML methods (i.e., models in production for less than 2 years)
## 791 <NA>
## 792 We use ML methods for generating insights (but do not put working models into production)
## 793 We use ML methods for generating insights (but do not put working models into production)
## 794 <NA>
## 795 We are exploring ML methods (and may one day put a model into production)
## 796 We have well established ML methods (i.e., models in production for more than 2 years)
## 797 We have well established ML methods (i.e., models in production for more than 2 years)
## 798 <NA>
## 799 We recently started using ML methods (i.e., models in production for less than 2 years)
## 800 We are exploring ML methods (and may one day put a model into production)
## 801 We are exploring ML methods (and may one day put a model into production)
## 802 We are exploring ML methods (and may one day put a model into production)
## 803 We are exploring ML methods (and may one day put a model into production)
## 804 We recently started using ML methods (i.e., models in production for less than 2 years)
## 805 I do not know
## 806 We are exploring ML methods (and may one day put a model into production)
## 807 We are exploring ML methods (and may one day put a model into production)
## 808 We use ML methods for generating insights (but do not put working models into production)
## 809 I do not know
## 810 We recently started using ML methods (i.e., models in production for less than 2 years)
## 811 We are exploring ML methods (and may one day put a model into production)
## 812 <NA>
## 813 <NA>
## 814 We are exploring ML methods (and may one day put a model into production)
## 815 We use ML methods for generating insights (but do not put working models into production)
## 816 <NA>
## 817 We recently started using ML methods (i.e., models in production for less than 2 years)
## 818 We recently started using ML methods (i.e., models in production for less than 2 years)
## 819 <NA>
## 820 We are exploring ML methods (and may one day put a model into production)
## 821 <NA>
## 822 No (we do not use ML methods)
## 823 We are exploring ML methods (and may one day put a model into production)
## 824 No (we do not use ML methods)
## 825 We have well established ML methods (i.e., models in production for more than 2 years)
## 826 We have well established ML methods (i.e., models in production for more than 2 years)
## 827 No (we do not use ML methods)
## 828 We have well established ML methods (i.e., models in production for more than 2 years)
## 829 We have well established ML methods (i.e., models in production for more than 2 years)
## 830 We have well established ML methods (i.e., models in production for more than 2 years)
## 831 We recently started using ML methods (i.e., models in production for less than 2 years)
## 832 We recently started using ML methods (i.e., models in production for less than 2 years)
## 833 We are exploring ML methods (and may one day put a model into production)
## 834 We recently started using ML methods (i.e., models in production for less than 2 years)
## 835 We are exploring ML methods (and may one day put a model into production)
## 836 <NA>
## 837 <NA>
## 838 We use ML methods for generating insights (but do not put working models into production)
## 839 No (we do not use ML methods)
## 840 We use ML methods for generating insights (but do not put working models into production)
## 841 We are exploring ML methods (and may one day put a model into production)
## 842 <NA>
## 843 I do not know
## 844 We use ML methods for generating insights (but do not put working models into production)
## 845 We have well established ML methods (i.e., models in production for more than 2 years)
## 846 <NA>
## 847 We are exploring ML methods (and may one day put a model into production)
## 848 We have well established ML methods (i.e., models in production for more than 2 years)
## 849 <NA>
## 850 We use ML methods for generating insights (but do not put working models into production)
## 851 We have well established ML methods (i.e., models in production for more than 2 years)
## 852 We recently started using ML methods (i.e., models in production for less than 2 years)
## 853 We use ML methods for generating insights (but do not put working models into production)
## 854 We have well established ML methods (i.e., models in production for more than 2 years)
## 855 We are exploring ML methods (and may one day put a model into production)
## 856 We are exploring ML methods (and may one day put a model into production)
## 857 We have well established ML methods (i.e., models in production for more than 2 years)
## 858 <NA>
## 859 <NA>
## 860 <NA>
## 861 <NA>
## 862 <NA>
## 863 No (we do not use ML methods)
## 864 We are exploring ML methods (and may one day put a model into production)
## 865 We recently started using ML methods (i.e., models in production for less than 2 years)
## 866 We recently started using ML methods (i.e., models in production for less than 2 years)
## 867 No (we do not use ML methods)
## 868 <NA>
## 869 <NA>
## 870 <NA>
## 871 I do not know
## 872 We recently started using ML methods (i.e., models in production for less than 2 years)
## 873 We have well established ML methods (i.e., models in production for more than 2 years)
## 874 <NA>
## 875 We have well established ML methods (i.e., models in production for more than 2 years)
## 876 We are exploring ML methods (and may one day put a model into production)
## 877 We use ML methods for generating insights (but do not put working models into production)
## 878 No (we do not use ML methods)
## 879 No (we do not use ML methods)
## 880 We recently started using ML methods (i.e., models in production for less than 2 years)
## 881 <NA>
## 882 We are exploring ML methods (and may one day put a model into production)
## 883 We recently started using ML methods (i.e., models in production for less than 2 years)
## 884 <NA>
## 885 <NA>
## 886 I do not know
## 887 We are exploring ML methods (and may one day put a model into production)
## 888 <NA>
## 889 <NA>
## 890 We use ML methods for generating insights (but do not put working models into production)
## 891 We have well established ML methods (i.e., models in production for more than 2 years)
## 892 We have well established ML methods (i.e., models in production for more than 2 years)
## 893 No (we do not use ML methods)
## 894 No (we do not use ML methods)
## 895 We are exploring ML methods (and may one day put a model into production)
## 896 <NA>
## 897 <NA>
## 898 I do not know
## 899 We have well established ML methods (i.e., models in production for more than 2 years)
## 900 No (we do not use ML methods)
## 901 <NA>
## 902 <NA>
## 903 We are exploring ML methods (and may one day put a model into production)
## 904 We are exploring ML methods (and may one day put a model into production)
## 905 We use ML methods for generating insights (but do not put working models into production)
## 906 We are exploring ML methods (and may one day put a model into production)
## 907 I do not know
## 908 We are exploring ML methods (and may one day put a model into production)
## 909 <NA>
## 910 We recently started using ML methods (i.e., models in production for less than 2 years)
## 911 We are exploring ML methods (and may one day put a model into production)
## 912 We recently started using ML methods (i.e., models in production for less than 2 years)
## 913 <NA>
## 914 We have well established ML methods (i.e., models in production for more than 2 years)
## 915 We are exploring ML methods (and may one day put a model into production)
## 916 We recently started using ML methods (i.e., models in production for less than 2 years)
## 917 No (we do not use ML methods)
## 918 We recently started using ML methods (i.e., models in production for less than 2 years)
## 919 We recently started using ML methods (i.e., models in production for less than 2 years)
## 920 <NA>
## 921 <NA>
## 922 <NA>
## 923 We have well established ML methods (i.e., models in production for more than 2 years)
## 924 <NA>
## 925 No (we do not use ML methods)
## 926 <NA>
## 927 <NA>
## 928 We are exploring ML methods (and may one day put a model into production)
## 929 We recently started using ML methods (i.e., models in production for less than 2 years)
## 930 We are exploring ML methods (and may one day put a model into production)
## 931 <NA>
## 932 <NA>
## 933 <NA>
## 934 We recently started using ML methods (i.e., models in production for less than 2 years)
## 935 We recently started using ML methods (i.e., models in production for less than 2 years)
## 936 <NA>
## 937 I do not know
## 938 No (we do not use ML methods)
## 939 <NA>
## 940 We use ML methods for generating insights (but do not put working models into production)
## 941 We are exploring ML methods (and may one day put a model into production)
## 942 We are exploring ML methods (and may one day put a model into production)
## 943 We have well established ML methods (i.e., models in production for more than 2 years)
## 944 We recently started using ML methods (i.e., models in production for less than 2 years)
## 945 No (we do not use ML methods)
## 946 We are exploring ML methods (and may one day put a model into production)
## 947 <NA>
## 948 We have well established ML methods (i.e., models in production for more than 2 years)
## 949 We recently started using ML methods (i.e., models in production for less than 2 years)
## 950 We are exploring ML methods (and may one day put a model into production)
## 951 No (we do not use ML methods)
## 952 <NA>
## 953 I do not know
## 954 We use ML methods for generating insights (but do not put working models into production)
## 955 We are exploring ML methods (and may one day put a model into production)
## 956 We have well established ML methods (i.e., models in production for more than 2 years)
## 957 I do not know
## 958 <NA>
## 959 <NA>
## 960 We are exploring ML methods (and may one day put a model into production)
## 961 No (we do not use ML methods)
## 962 No (we do not use ML methods)
## 963 We are exploring ML methods (and may one day put a model into production)
## 964 <NA>
## 965 We recently started using ML methods (i.e., models in production for less than 2 years)
## 966 We use ML methods for generating insights (but do not put working models into production)
## 967 We are exploring ML methods (and may one day put a model into production)
## 968 <NA>
## 969 No (we do not use ML methods)
## 970 No (we do not use ML methods)
## 971 We recently started using ML methods (i.e., models in production for less than 2 years)
## 972 We have well established ML methods (i.e., models in production for more than 2 years)
## 973 We have well established ML methods (i.e., models in production for more than 2 years)
## 974 <NA>
## 975 We are exploring ML methods (and may one day put a model into production)
## 976 We are exploring ML methods (and may one day put a model into production)
## 977 We use ML methods for generating insights (but do not put working models into production)
## 978 We are exploring ML methods (and may one day put a model into production)
## 979 <NA>
## 980 <NA>
## 981 <NA>
## 982 No (we do not use ML methods)
## 983 <NA>
## 984 We use ML methods for generating insights (but do not put working models into production)
## 985 We have well established ML methods (i.e., models in production for more than 2 years)
## 986 <NA>
## 987 We use ML methods for generating insights (but do not put working models into production)
## 988 We have well established ML methods (i.e., models in production for more than 2 years)
## 989 We are exploring ML methods (and may one day put a model into production)
## 990 No (we do not use ML methods)
## 991 We use ML methods for generating insights (but do not put working models into production)
## 992 We have well established ML methods (i.e., models in production for more than 2 years)
## 993 We recently started using ML methods (i.e., models in production for less than 2 years)
## 994 We use ML methods for generating insights (but do not put working models into production)
## 995 We use ML methods for generating insights (but do not put working models into production)
## 996 We recently started using ML methods (i.e., models in production for less than 2 years)
## 997 No (we do not use ML methods)
## 998 <NA>
## 999 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1000 <NA>
## 1001 We use ML methods for generating insights (but do not put working models into production)
## 1002 We have well established ML methods (i.e., models in production for more than 2 years)
## 1003 <NA>
## 1004 No (we do not use ML methods)
## 1005 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1006 We have well established ML methods (i.e., models in production for more than 2 years)
## 1007 We have well established ML methods (i.e., models in production for more than 2 years)
## 1008 We use ML methods for generating insights (but do not put working models into production)
## 1009 We have well established ML methods (i.e., models in production for more than 2 years)
## 1010 <NA>
## 1011 We have well established ML methods (i.e., models in production for more than 2 years)
## 1012 We are exploring ML methods (and may one day put a model into production)
## 1013 <NA>
## 1014 We are exploring ML methods (and may one day put a model into production)
## 1015 We are exploring ML methods (and may one day put a model into production)
## 1016 We have well established ML methods (i.e., models in production for more than 2 years)
## 1017 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1018 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1019 We use ML methods for generating insights (but do not put working models into production)
## 1020 No (we do not use ML methods)
## 1021 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1022 We have well established ML methods (i.e., models in production for more than 2 years)
## 1023 We are exploring ML methods (and may one day put a model into production)
## 1024 We have well established ML methods (i.e., models in production for more than 2 years)
## 1025 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1026 <NA>
## 1027 No (we do not use ML methods)
## 1028 We are exploring ML methods (and may one day put a model into production)
## 1029 We use ML methods for generating insights (but do not put working models into production)
## 1030 We are exploring ML methods (and may one day put a model into production)
## 1031 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1032 <NA>
## 1033 We are exploring ML methods (and may one day put a model into production)
## 1034 No (we do not use ML methods)
## 1035 We have well established ML methods (i.e., models in production for more than 2 years)
## 1036 We are exploring ML methods (and may one day put a model into production)
## 1037 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1038 We are exploring ML methods (and may one day put a model into production)
## 1039 We use ML methods for generating insights (but do not put working models into production)
## 1040 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1041 We have well established ML methods (i.e., models in production for more than 2 years)
## 1042 We have well established ML methods (i.e., models in production for more than 2 years)
## 1043 We are exploring ML methods (and may one day put a model into production)
## 1044 We have well established ML methods (i.e., models in production for more than 2 years)
## 1045 We use ML methods for generating insights (but do not put working models into production)
## 1046 <NA>
## 1047 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1048 No (we do not use ML methods)
## 1049 No (we do not use ML methods)
## 1050 I do not know
## 1051 We have well established ML methods (i.e., models in production for more than 2 years)
## 1052 <NA>
## 1053 We are exploring ML methods (and may one day put a model into production)
## 1054 We have well established ML methods (i.e., models in production for more than 2 years)
## 1055 We use ML methods for generating insights (but do not put working models into production)
## 1056 I do not know
## 1057 We have well established ML methods (i.e., models in production for more than 2 years)
## 1058 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1059 <NA>
## 1060 We use ML methods for generating insights (but do not put working models into production)
## 1061 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1062 We are exploring ML methods (and may one day put a model into production)
## 1063 <NA>
## 1064 No (we do not use ML methods)
## 1065 We are exploring ML methods (and may one day put a model into production)
## 1066 We are exploring ML methods (and may one day put a model into production)
## 1067 <NA>
## 1068 We have well established ML methods (i.e., models in production for more than 2 years)
## 1069 We have well established ML methods (i.e., models in production for more than 2 years)
## 1070 We have well established ML methods (i.e., models in production for more than 2 years)
## 1071 No (we do not use ML methods)
## 1072 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1073 <NA>
## 1074 No (we do not use ML methods)
## 1075 No (we do not use ML methods)
## 1076 <NA>
## 1077 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1078 <NA>
## 1079 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1080 No (we do not use ML methods)
## 1081 We use ML methods for generating insights (but do not put working models into production)
## 1082 <NA>
## 1083 We have well established ML methods (i.e., models in production for more than 2 years)
## 1084 We use ML methods for generating insights (but do not put working models into production)
## 1085 We use ML methods for generating insights (but do not put working models into production)
## 1086 We are exploring ML methods (and may one day put a model into production)
## 1087 No (we do not use ML methods)
## 1088 <NA>
## 1089 We have well established ML methods (i.e., models in production for more than 2 years)
## 1090 No (we do not use ML methods)
## 1091 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1092 <NA>
## 1093 We have well established ML methods (i.e., models in production for more than 2 years)
## 1094 <NA>
## 1095 We are exploring ML methods (and may one day put a model into production)
## 1096 We are exploring ML methods (and may one day put a model into production)
## 1097 No (we do not use ML methods)
## 1098 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1099 <NA>
## 1100 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1101 We use ML methods for generating insights (but do not put working models into production)
## 1102 No (we do not use ML methods)
## 1103 We have well established ML methods (i.e., models in production for more than 2 years)
## 1104 No (we do not use ML methods)
## 1105 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1106 <NA>
## 1107 We use ML methods for generating insights (but do not put working models into production)
## 1108 We use ML methods for generating insights (but do not put working models into production)
## 1109 I do not know
## 1110 <NA>
## 1111 We use ML methods for generating insights (but do not put working models into production)
## 1112 We have well established ML methods (i.e., models in production for more than 2 years)
## 1113 No (we do not use ML methods)
## 1114 <NA>
## 1115 <NA>
## 1116 We are exploring ML methods (and may one day put a model into production)
## 1117 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1118 We are exploring ML methods (and may one day put a model into production)
## 1119 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1120 We have well established ML methods (i.e., models in production for more than 2 years)
## 1121 We have well established ML methods (i.e., models in production for more than 2 years)
## 1122 <NA>
## 1123 We are exploring ML methods (and may one day put a model into production)
## 1124 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1125 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1126 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1127 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1128 We use ML methods for generating insights (but do not put working models into production)
## 1129 No (we do not use ML methods)
## 1130 No (we do not use ML methods)
## 1131 We have well established ML methods (i.e., models in production for more than 2 years)
## 1132 We have well established ML methods (i.e., models in production for more than 2 years)
## 1133 I do not know
## 1134 <NA>
## 1135 We have well established ML methods (i.e., models in production for more than 2 years)
## 1136 No (we do not use ML methods)
## 1137 <NA>
## 1138 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1139 We have well established ML methods (i.e., models in production for more than 2 years)
## 1140 We are exploring ML methods (and may one day put a model into production)
## 1141 No (we do not use ML methods)
## 1142 We are exploring ML methods (and may one day put a model into production)
## 1143 <NA>
## 1144 We have well established ML methods (i.e., models in production for more than 2 years)
## 1145 We are exploring ML methods (and may one day put a model into production)
## 1146 I do not know
## 1147 <NA>
## 1148 <NA>
## 1149 We are exploring ML methods (and may one day put a model into production)
## 1150 I do not know
## 1151 <NA>
## 1152 We have well established ML methods (i.e., models in production for more than 2 years)
## 1153 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1154 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1155 We are exploring ML methods (and may one day put a model into production)
## 1156 No (we do not use ML methods)
## 1157 We use ML methods for generating insights (but do not put working models into production)
## 1158 We have well established ML methods (i.e., models in production for more than 2 years)
## 1159 We use ML methods for generating insights (but do not put working models into production)
## 1160 We have well established ML methods (i.e., models in production for more than 2 years)
## 1161 We use ML methods for generating insights (but do not put working models into production)
## 1162 <NA>
## 1163 We have well established ML methods (i.e., models in production for more than 2 years)
## 1164 We use ML methods for generating insights (but do not put working models into production)
## 1165 <NA>
## 1166 <NA>
## 1167 <NA>
## 1168 <NA>
## 1169 <NA>
## 1170 <NA>
## 1171 We are exploring ML methods (and may one day put a model into production)
## 1172 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1173 We are exploring ML methods (and may one day put a model into production)
## 1174 <NA>
## 1175 We have well established ML methods (i.e., models in production for more than 2 years)
## 1176 <NA>
## 1177 We are exploring ML methods (and may one day put a model into production)
## 1178 We are exploring ML methods (and may one day put a model into production)
## 1179 No (we do not use ML methods)
## 1180 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1181 We are exploring ML methods (and may one day put a model into production)
## 1182 <NA>
## 1183 I do not know
## 1184 <NA>
## 1185 We have well established ML methods (i.e., models in production for more than 2 years)
## 1186 <NA>
## 1187 <NA>
## 1188 <NA>
## 1189 <NA>
## 1190 We have well established ML methods (i.e., models in production for more than 2 years)
## 1191 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1192 We are exploring ML methods (and may one day put a model into production)
## 1193 <NA>
## 1194 We use ML methods for generating insights (but do not put working models into production)
## 1195 We use ML methods for generating insights (but do not put working models into production)
## 1196 <NA>
## 1197 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1198 We are exploring ML methods (and may one day put a model into production)
## 1199 We have well established ML methods (i.e., models in production for more than 2 years)
## 1200 I do not know
## 1201 No (we do not use ML methods)
## 1202 We are exploring ML methods (and may one day put a model into production)
## 1203 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1204 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1205 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1206 We use ML methods for generating insights (but do not put working models into production)
## 1207 <NA>
## 1208 We have well established ML methods (i.e., models in production for more than 2 years)
## 1209 <NA>
## 1210 <NA>
## 1211 <NA>
## 1212 <NA>
## 1213 We have well established ML methods (i.e., models in production for more than 2 years)
## 1214 <NA>
## 1215 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1216 No (we do not use ML methods)
## 1217 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1218 <NA>
## 1219 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1220 We have well established ML methods (i.e., models in production for more than 2 years)
## 1221 We are exploring ML methods (and may one day put a model into production)
## 1222 We are exploring ML methods (and may one day put a model into production)
## 1223 <NA>
## 1224 <NA>
## 1225 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1226 <NA>
## 1227 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1228 <NA>
## 1229 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1230 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1231 We are exploring ML methods (and may one day put a model into production)
## 1232 No (we do not use ML methods)
## 1233 We use ML methods for generating insights (but do not put working models into production)
## 1234 We have well established ML methods (i.e., models in production for more than 2 years)
## 1235 We use ML methods for generating insights (but do not put working models into production)
## 1236 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1237 We have well established ML methods (i.e., models in production for more than 2 years)
## 1238 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1239 <NA>
## 1240 We have well established ML methods (i.e., models in production for more than 2 years)
## 1241 We use ML methods for generating insights (but do not put working models into production)
## 1242 <NA>
## 1243 <NA>
## 1244 We have well established ML methods (i.e., models in production for more than 2 years)
## 1245 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1246 No (we do not use ML methods)
## 1247 We are exploring ML methods (and may one day put a model into production)
## 1248 We have well established ML methods (i.e., models in production for more than 2 years)
## 1249 We have well established ML methods (i.e., models in production for more than 2 years)
## 1250 We have well established ML methods (i.e., models in production for more than 2 years)
## 1251 <NA>
## 1252 <NA>
## 1253 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1254 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1255 We are exploring ML methods (and may one day put a model into production)
## 1256 We have well established ML methods (i.e., models in production for more than 2 years)
## 1257 We are exploring ML methods (and may one day put a model into production)
## 1258 We are exploring ML methods (and may one day put a model into production)
## 1259 No (we do not use ML methods)
## 1260 We are exploring ML methods (and may one day put a model into production)
## 1261 We have well established ML methods (i.e., models in production for more than 2 years)
## 1262 No (we do not use ML methods)
## 1263 We are exploring ML methods (and may one day put a model into production)
## 1264 We have well established ML methods (i.e., models in production for more than 2 years)
## 1265 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1266 We have well established ML methods (i.e., models in production for more than 2 years)
## 1267 We have well established ML methods (i.e., models in production for more than 2 years)
## 1268 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1269 <NA>
## 1270 <NA>
## 1271 We are exploring ML methods (and may one day put a model into production)
## 1272 We use ML methods for generating insights (but do not put working models into production)
## 1273 <NA>
## 1274 We are exploring ML methods (and may one day put a model into production)
## 1275 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1276 No (we do not use ML methods)
## 1277 We have well established ML methods (i.e., models in production for more than 2 years)
## 1278 I do not know
## 1279 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1280 We use ML methods for generating insights (but do not put working models into production)
## 1281 We have well established ML methods (i.e., models in production for more than 2 years)
## 1282 No (we do not use ML methods)
## 1283 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1284 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1285 I do not know
## 1286 We are exploring ML methods (and may one day put a model into production)
## 1287 <NA>
## 1288 <NA>
## 1289 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1290 We are exploring ML methods (and may one day put a model into production)
## 1291 We are exploring ML methods (and may one day put a model into production)
## 1292 <NA>
## 1293 We are exploring ML methods (and may one day put a model into production)
## 1294 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1295 We have well established ML methods (i.e., models in production for more than 2 years)
## 1296 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1297 We have well established ML methods (i.e., models in production for more than 2 years)
## 1298 No (we do not use ML methods)
## 1299 We have well established ML methods (i.e., models in production for more than 2 years)
## 1300 We are exploring ML methods (and may one day put a model into production)
## 1301 We have well established ML methods (i.e., models in production for more than 2 years)
## 1302 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1303 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1304 We have well established ML methods (i.e., models in production for more than 2 years)
## 1305 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1306 We are exploring ML methods (and may one day put a model into production)
## 1307 We are exploring ML methods (and may one day put a model into production)
## 1308 We are exploring ML methods (and may one day put a model into production)
## 1309 We have well established ML methods (i.e., models in production for more than 2 years)
## 1310 <NA>
## 1311 We have well established ML methods (i.e., models in production for more than 2 years)
## 1312 <NA>
## 1313 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1314 We have well established ML methods (i.e., models in production for more than 2 years)
## 1315 <NA>
## 1316 We are exploring ML methods (and may one day put a model into production)
## 1317 <NA>
## 1318 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1319 We use ML methods for generating insights (but do not put working models into production)
## 1320 We are exploring ML methods (and may one day put a model into production)
## 1321 I do not know
## 1322 No (we do not use ML methods)
## 1323 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1324 No (we do not use ML methods)
## 1325 We are exploring ML methods (and may one day put a model into production)
## 1326 We have well established ML methods (i.e., models in production for more than 2 years)
## 1327 No (we do not use ML methods)
## 1328 We use ML methods for generating insights (but do not put working models into production)
## 1329 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1330 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1331 <NA>
## 1332 We are exploring ML methods (and may one day put a model into production)
## 1333 We are exploring ML methods (and may one day put a model into production)
## 1334 We have well established ML methods (i.e., models in production for more than 2 years)
## 1335 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1336 We have well established ML methods (i.e., models in production for more than 2 years)
## 1337 <NA>
## 1338 We have well established ML methods (i.e., models in production for more than 2 years)
## 1339 We use ML methods for generating insights (but do not put working models into production)
## 1340 I do not know
## 1341 We are exploring ML methods (and may one day put a model into production)
## 1342 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1343 I do not know
## 1344 We are exploring ML methods (and may one day put a model into production)
## 1345 We are exploring ML methods (and may one day put a model into production)
## 1346 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1347 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1348 We have well established ML methods (i.e., models in production for more than 2 years)
## 1349 We use ML methods for generating insights (but do not put working models into production)
## 1350 <NA>
## 1351 <NA>
## 1352 We have well established ML methods (i.e., models in production for more than 2 years)
## 1353 We have well established ML methods (i.e., models in production for more than 2 years)
## 1354 We have well established ML methods (i.e., models in production for more than 2 years)
## 1355 We have well established ML methods (i.e., models in production for more than 2 years)
## 1356 We use ML methods for generating insights (but do not put working models into production)
## 1357 We have well established ML methods (i.e., models in production for more than 2 years)
## 1358 We are exploring ML methods (and may one day put a model into production)
## 1359 We have well established ML methods (i.e., models in production for more than 2 years)
## 1360 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1361 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1362 No (we do not use ML methods)
## 1363 We have well established ML methods (i.e., models in production for more than 2 years)
## 1364 <NA>
## 1365 I do not know
## 1366 We use ML methods for generating insights (but do not put working models into production)
## 1367 We are exploring ML methods (and may one day put a model into production)
## 1368 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1369 I do not know
## 1370 <NA>
## 1371 We use ML methods for generating insights (but do not put working models into production)
## 1372 We have well established ML methods (i.e., models in production for more than 2 years)
## 1373 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1374 We are exploring ML methods (and may one day put a model into production)
## 1375 No (we do not use ML methods)
## 1376 We use ML methods for generating insights (but do not put working models into production)
## 1377 We use ML methods for generating insights (but do not put working models into production)
## 1378 We use ML methods for generating insights (but do not put working models into production)
## 1379 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1380 We use ML methods for generating insights (but do not put working models into production)
## 1381 <NA>
## 1382 No (we do not use ML methods)
## 1383 <NA>
## 1384 No (we do not use ML methods)
## 1385 We have well established ML methods (i.e., models in production for more than 2 years)
## 1386 No (we do not use ML methods)
## 1387 I do not know
## 1388 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1389 We use ML methods for generating insights (but do not put working models into production)
## 1390 I do not know
## 1391 <NA>
## 1392 <NA>
## 1393 <NA>
## 1394 No (we do not use ML methods)
## 1395 We are exploring ML methods (and may one day put a model into production)
## 1396 <NA>
## 1397 No (we do not use ML methods)
## 1398 We are exploring ML methods (and may one day put a model into production)
## 1399 <NA>
## 1400 <NA>
## 1401 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1402 <NA>
## 1403 We are exploring ML methods (and may one day put a model into production)
## 1404 We are exploring ML methods (and may one day put a model into production)
## 1405 <NA>
## 1406 No (we do not use ML methods)
## 1407 No (we do not use ML methods)
## 1408 <NA>
## 1409 We are exploring ML methods (and may one day put a model into production)
## 1410 We are exploring ML methods (and may one day put a model into production)
## 1411 We have well established ML methods (i.e., models in production for more than 2 years)
## 1412 <NA>
## 1413 No (we do not use ML methods)
## 1414 We have well established ML methods (i.e., models in production for more than 2 years)
## 1415 No (we do not use ML methods)
## 1416 I do not know
## 1417 No (we do not use ML methods)
## 1418 No (we do not use ML methods)
## 1419 We use ML methods for generating insights (but do not put working models into production)
## 1420 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1421 We have well established ML methods (i.e., models in production for more than 2 years)
## 1422 We have well established ML methods (i.e., models in production for more than 2 years)
## 1423 We have well established ML methods (i.e., models in production for more than 2 years)
## 1424 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1425 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1426 <NA>
## 1427 We have well established ML methods (i.e., models in production for more than 2 years)
## 1428 We are exploring ML methods (and may one day put a model into production)
## 1429 <NA>
## 1430 We have well established ML methods (i.e., models in production for more than 2 years)
## 1431 We are exploring ML methods (and may one day put a model into production)
## 1432 We use ML methods for generating insights (but do not put working models into production)
## 1433 We have well established ML methods (i.e., models in production for more than 2 years)
## 1434 No (we do not use ML methods)
## 1435 <NA>
## 1436 I do not know
## 1437 We are exploring ML methods (and may one day put a model into production)
## 1438 <NA>
## 1439 <NA>
## 1440 We have well established ML methods (i.e., models in production for more than 2 years)
## 1441 <NA>
## 1442 No (we do not use ML methods)
## 1443 We have well established ML methods (i.e., models in production for more than 2 years)
## 1444 We have well established ML methods (i.e., models in production for more than 2 years)
## 1445 <NA>
## 1446 <NA>
## 1447 We use ML methods for generating insights (but do not put working models into production)
## 1448 No (we do not use ML methods)
## 1449 We use ML methods for generating insights (but do not put working models into production)
## 1450 I do not know
## 1451 <NA>
## 1452 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1453 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1454 We have well established ML methods (i.e., models in production for more than 2 years)
## 1455 No (we do not use ML methods)
## 1456 <NA>
## 1457 <NA>
## 1458 We are exploring ML methods (and may one day put a model into production)
## 1459 We are exploring ML methods (and may one day put a model into production)
## 1460 We are exploring ML methods (and may one day put a model into production)
## 1461 We are exploring ML methods (and may one day put a model into production)
## 1462 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1463 <NA>
## 1464 We have well established ML methods (i.e., models in production for more than 2 years)
## 1465 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1466 I do not know
## 1467 <NA>
## 1468 I do not know
## 1469 We use ML methods for generating insights (but do not put working models into production)
## 1470 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1471 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1472 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1473 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1474 We are exploring ML methods (and may one day put a model into production)
## 1475 We are exploring ML methods (and may one day put a model into production)
## 1476 We use ML methods for generating insights (but do not put working models into production)
## 1477 <NA>
## 1478 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1479 We use ML methods for generating insights (but do not put working models into production)
## 1480 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1481 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1482 We use ML methods for generating insights (but do not put working models into production)
## 1483 We have well established ML methods (i.e., models in production for more than 2 years)
## 1484 <NA>
## 1485 I do not know
## 1486 We use ML methods for generating insights (but do not put working models into production)
## 1487 No (we do not use ML methods)
## 1488 <NA>
## 1489 I do not know
## 1490 We are exploring ML methods (and may one day put a model into production)
## 1491 <NA>
## 1492 We use ML methods for generating insights (but do not put working models into production)
## 1493 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1494 No (we do not use ML methods)
## 1495 We use ML methods for generating insights (but do not put working models into production)
## 1496 <NA>
## 1497 <NA>
## 1498 <NA>
## 1499 We use ML methods for generating insights (but do not put working models into production)
## 1500 <NA>
## 1501 <NA>
## 1502 We use ML methods for generating insights (but do not put working models into production)
## 1503 We use ML methods for generating insights (but do not put working models into production)
## 1504 We are exploring ML methods (and may one day put a model into production)
## 1505 <NA>
## 1506 We are exploring ML methods (and may one day put a model into production)
## 1507 We use ML methods for generating insights (but do not put working models into production)
## 1508 We use ML methods for generating insights (but do not put working models into production)
## 1509 We have well established ML methods (i.e., models in production for more than 2 years)
## 1510 I do not know
## 1511 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1512 <NA>
## 1513 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1514 No (we do not use ML methods)
## 1515 We have well established ML methods (i.e., models in production for more than 2 years)
## 1516 I do not know
## 1517 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1518 We are exploring ML methods (and may one day put a model into production)
## 1519 We are exploring ML methods (and may one day put a model into production)
## 1520 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1521 I do not know
## 1522 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1523 I do not know
## 1524 I do not know
## 1525 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1526 No (we do not use ML methods)
## 1527 We have well established ML methods (i.e., models in production for more than 2 years)
## 1528 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1529 <NA>
## 1530 We are exploring ML methods (and may one day put a model into production)
## 1531 We are exploring ML methods (and may one day put a model into production)
## 1532 We are exploring ML methods (and may one day put a model into production)
## 1533 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1534 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1535 We are exploring ML methods (and may one day put a model into production)
## 1536 We use ML methods for generating insights (but do not put working models into production)
## 1537 No (we do not use ML methods)
## 1538 <NA>
## 1539 We are exploring ML methods (and may one day put a model into production)
## 1540 We use ML methods for generating insights (but do not put working models into production)
## 1541 We have well established ML methods (i.e., models in production for more than 2 years)
## 1542 We have well established ML methods (i.e., models in production for more than 2 years)
## 1543 We have well established ML methods (i.e., models in production for more than 2 years)
## 1544 No (we do not use ML methods)
## 1545 We are exploring ML methods (and may one day put a model into production)
## 1546 <NA>
## 1547 We are exploring ML methods (and may one day put a model into production)
## 1548 We use ML methods for generating insights (but do not put working models into production)
## 1549 <NA>
## 1550 No (we do not use ML methods)
## 1551 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1552 <NA>
## 1553 <NA>
## 1554 <NA>
## 1555 We are exploring ML methods (and may one day put a model into production)
## 1556 We have well established ML methods (i.e., models in production for more than 2 years)
## 1557 No (we do not use ML methods)
## 1558 No (we do not use ML methods)
## 1559 We have well established ML methods (i.e., models in production for more than 2 years)
## 1560 We have well established ML methods (i.e., models in production for more than 2 years)
## 1561 We are exploring ML methods (and may one day put a model into production)
## 1562 We use ML methods for generating insights (but do not put working models into production)
## 1563 We are exploring ML methods (and may one day put a model into production)
## 1564 We use ML methods for generating insights (but do not put working models into production)
## 1565 We have well established ML methods (i.e., models in production for more than 2 years)
## 1566 <NA>
## 1567 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1568 <NA>
## 1569 No (we do not use ML methods)
## 1570 We use ML methods for generating insights (but do not put working models into production)
## 1571 We are exploring ML methods (and may one day put a model into production)
## 1572 We are exploring ML methods (and may one day put a model into production)
## 1573 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1574 No (we do not use ML methods)
## 1575 No (we do not use ML methods)
## 1576 No (we do not use ML methods)
## 1577 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1578 <NA>
## 1579 We are exploring ML methods (and may one day put a model into production)
## 1580 <NA>
## 1581 We use ML methods for generating insights (but do not put working models into production)
## 1582 We have well established ML methods (i.e., models in production for more than 2 years)
## 1583 We have well established ML methods (i.e., models in production for more than 2 years)
## 1584 We use ML methods for generating insights (but do not put working models into production)
## 1585 We use ML methods for generating insights (but do not put working models into production)
## 1586 We have well established ML methods (i.e., models in production for more than 2 years)
## 1587 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1588 <NA>
## 1589 We use ML methods for generating insights (but do not put working models into production)
## 1590 We are exploring ML methods (and may one day put a model into production)
## 1591 <NA>
## 1592 No (we do not use ML methods)
## 1593 We have well established ML methods (i.e., models in production for more than 2 years)
## 1594 <NA>
## 1595 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1596 No (we do not use ML methods)
## 1597 We have well established ML methods (i.e., models in production for more than 2 years)
## 1598 <NA>
## 1599 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1600 <NA>
## 1601 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1602 We are exploring ML methods (and may one day put a model into production)
## 1603 No (we do not use ML methods)
## 1604 <NA>
## 1605 <NA>
## 1606 <NA>
## 1607 I do not know
## 1608 We use ML methods for generating insights (but do not put working models into production)
## 1609 We have well established ML methods (i.e., models in production for more than 2 years)
## 1610 <NA>
## 1611 We have well established ML methods (i.e., models in production for more than 2 years)
## 1612 <NA>
## 1613 I do not know
## 1614 We use ML methods for generating insights (but do not put working models into production)
## 1615 We use ML methods for generating insights (but do not put working models into production)
## 1616 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1617 <NA>
## 1618 We use ML methods for generating insights (but do not put working models into production)
## 1619 We have well established ML methods (i.e., models in production for more than 2 years)
## 1620 No (we do not use ML methods)
## 1621 No (we do not use ML methods)
## 1622 We are exploring ML methods (and may one day put a model into production)
## 1623 We have well established ML methods (i.e., models in production for more than 2 years)
## 1624 We are exploring ML methods (and may one day put a model into production)
## 1625 No (we do not use ML methods)
## 1626 We are exploring ML methods (and may one day put a model into production)
## 1627 We have well established ML methods (i.e., models in production for more than 2 years)
## 1628 We have well established ML methods (i.e., models in production for more than 2 years)
## 1629 We have well established ML methods (i.e., models in production for more than 2 years)
## 1630 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1631 We use ML methods for generating insights (but do not put working models into production)
## 1632 I do not know
## 1633 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1634 We have well established ML methods (i.e., models in production for more than 2 years)
## 1635 <NA>
## 1636 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1637 No (we do not use ML methods)
## 1638 No (we do not use ML methods)
## 1639 We use ML methods for generating insights (but do not put working models into production)
## 1640 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1641 <NA>
## 1642 We use ML methods for generating insights (but do not put working models into production)
## 1643 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1644 No (we do not use ML methods)
## 1645 We are exploring ML methods (and may one day put a model into production)
## 1646 We are exploring ML methods (and may one day put a model into production)
## 1647 <NA>
## 1648 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1649 We use ML methods for generating insights (but do not put working models into production)
## 1650 <NA>
## 1651 <NA>
## 1652 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1653 We have well established ML methods (i.e., models in production for more than 2 years)
## 1654 <NA>
## 1655 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1656 No (we do not use ML methods)
## 1657 We are exploring ML methods (and may one day put a model into production)
## 1658 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1659 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1660 No (we do not use ML methods)
## 1661 We have well established ML methods (i.e., models in production for more than 2 years)
## 1662 <NA>
## 1663 No (we do not use ML methods)
## 1664 No (we do not use ML methods)
## 1665 We are exploring ML methods (and may one day put a model into production)
## 1666 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1667 No (we do not use ML methods)
## 1668 We have well established ML methods (i.e., models in production for more than 2 years)
## 1669 We use ML methods for generating insights (but do not put working models into production)
## 1670 We have well established ML methods (i.e., models in production for more than 2 years)
## 1671 We use ML methods for generating insights (but do not put working models into production)
## 1672 <NA>
## 1673 I do not know
## 1674 We are exploring ML methods (and may one day put a model into production)
## 1675 No (we do not use ML methods)
## 1676 <NA>
## 1677 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1678 We use ML methods for generating insights (but do not put working models into production)
## 1679 No (we do not use ML methods)
## 1680 We are exploring ML methods (and may one day put a model into production)
## 1681 We have well established ML methods (i.e., models in production for more than 2 years)
## 1682 We use ML methods for generating insights (but do not put working models into production)
## 1683 We have well established ML methods (i.e., models in production for more than 2 years)
## 1684 <NA>
## 1685 We are exploring ML methods (and may one day put a model into production)
## 1686 <NA>
## 1687 <NA>
## 1688 No (we do not use ML methods)
## 1689 We are exploring ML methods (and may one day put a model into production)
## 1690 We are exploring ML methods (and may one day put a model into production)
## 1691 We have well established ML methods (i.e., models in production for more than 2 years)
## 1692 We have well established ML methods (i.e., models in production for more than 2 years)
## 1693 <NA>
## 1694 <NA>
## 1695 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1696 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1697 We use ML methods for generating insights (but do not put working models into production)
## 1698 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1699 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1700 We are exploring ML methods (and may one day put a model into production)
## 1701 We have well established ML methods (i.e., models in production for more than 2 years)
## 1702 <NA>
## 1703 We are exploring ML methods (and may one day put a model into production)
## 1704 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1705 No (we do not use ML methods)
## 1706 We are exploring ML methods (and may one day put a model into production)
## 1707 We use ML methods for generating insights (but do not put working models into production)
## 1708 We are exploring ML methods (and may one day put a model into production)
## 1709 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1710 <NA>
## 1711 <NA>
## 1712 We are exploring ML methods (and may one day put a model into production)
## 1713 We are exploring ML methods (and may one day put a model into production)
## 1714 We have well established ML methods (i.e., models in production for more than 2 years)
## 1715 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1716 We have well established ML methods (i.e., models in production for more than 2 years)
## 1717 We are exploring ML methods (and may one day put a model into production)
## 1718 We have well established ML methods (i.e., models in production for more than 2 years)
## 1719 <NA>
## 1720 We are exploring ML methods (and may one day put a model into production)
## 1721 I do not know
## 1722 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1723 We have well established ML methods (i.e., models in production for more than 2 years)
## 1724 We are exploring ML methods (and may one day put a model into production)
## 1725 <NA>
## 1726 We are exploring ML methods (and may one day put a model into production)
## 1727 I do not know
## 1728 We are exploring ML methods (and may one day put a model into production)
## 1729 <NA>
## 1730 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1731 I do not know
## 1732 We have well established ML methods (i.e., models in production for more than 2 years)
## 1733 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1734 We are exploring ML methods (and may one day put a model into production)
## 1735 No (we do not use ML methods)
## 1736 I do not know
## 1737 We are exploring ML methods (and may one day put a model into production)
## 1738 I do not know
## 1739 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1740 No (we do not use ML methods)
## 1741 <NA>
## 1742 <NA>
## 1743 <NA>
## 1744 We use ML methods for generating insights (but do not put working models into production)
## 1745 We have well established ML methods (i.e., models in production for more than 2 years)
## 1746 We are exploring ML methods (and may one day put a model into production)
## 1747 <NA>
## 1748 No (we do not use ML methods)
## 1749 We are exploring ML methods (and may one day put a model into production)
## 1750 We have well established ML methods (i.e., models in production for more than 2 years)
## 1751 <NA>
## 1752 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1753 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1754 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1755 <NA>
## 1756 <NA>
## 1757 No (we do not use ML methods)
## 1758 I do not know
## 1759 We use ML methods for generating insights (but do not put working models into production)
## 1760 I do not know
## 1761 We are exploring ML methods (and may one day put a model into production)
## 1762 We use ML methods for generating insights (but do not put working models into production)
## 1763 We are exploring ML methods (and may one day put a model into production)
## 1764 No (we do not use ML methods)
## 1765 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1766 I do not know
## 1767 <NA>
## 1768 We use ML methods for generating insights (but do not put working models into production)
## 1769 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1770 We use ML methods for generating insights (but do not put working models into production)
## 1771 We are exploring ML methods (and may one day put a model into production)
## 1772 <NA>
## 1773 <NA>
## 1774 <NA>
## 1775 We have well established ML methods (i.e., models in production for more than 2 years)
## 1776 We use ML methods for generating insights (but do not put working models into production)
## 1777 We use ML methods for generating insights (but do not put working models into production)
## 1778 We are exploring ML methods (and may one day put a model into production)
## 1779 No (we do not use ML methods)
## 1780 We are exploring ML methods (and may one day put a model into production)
## 1781 <NA>
## 1782 We use ML methods for generating insights (but do not put working models into production)
## 1783 <NA>
## 1784 No (we do not use ML methods)
## 1785 We have well established ML methods (i.e., models in production for more than 2 years)
## 1786 We use ML methods for generating insights (but do not put working models into production)
## 1787 I do not know
## 1788 I do not know
## 1789 We are exploring ML methods (and may one day put a model into production)
## 1790 We have well established ML methods (i.e., models in production for more than 2 years)
## 1791 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1792 We are exploring ML methods (and may one day put a model into production)
## 1793 We use ML methods for generating insights (but do not put working models into production)
## 1794 We have well established ML methods (i.e., models in production for more than 2 years)
## 1795 No (we do not use ML methods)
## 1796 We are exploring ML methods (and may one day put a model into production)
## 1797 I do not know
## 1798 I do not know
## 1799 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1800 <NA>
## 1801 We have well established ML methods (i.e., models in production for more than 2 years)
## 1802 <NA>
## 1803 We have well established ML methods (i.e., models in production for more than 2 years)
## 1804 <NA>
## 1805 We have well established ML methods (i.e., models in production for more than 2 years)
## 1806 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1807 No (we do not use ML methods)
## 1808 <NA>
## 1809 We use ML methods for generating insights (but do not put working models into production)
## 1810 <NA>
## 1811 No (we do not use ML methods)
## 1812 <NA>
## 1813 We are exploring ML methods (and may one day put a model into production)
## 1814 No (we do not use ML methods)
## 1815 <NA>
## 1816 <NA>
## 1817 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1818 No (we do not use ML methods)
## 1819 I do not know
## 1820 We have well established ML methods (i.e., models in production for more than 2 years)
## 1821 <NA>
## 1822 No (we do not use ML methods)
## 1823 We are exploring ML methods (and may one day put a model into production)
## 1824 We are exploring ML methods (and may one day put a model into production)
## 1825 We have well established ML methods (i.e., models in production for more than 2 years)
## 1826 No (we do not use ML methods)
## 1827 We have well established ML methods (i.e., models in production for more than 2 years)
## 1828 <NA>
## 1829 No (we do not use ML methods)
## 1830 We have well established ML methods (i.e., models in production for more than 2 years)
## 1831 We have well established ML methods (i.e., models in production for more than 2 years)
## 1832 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1833 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1834 I do not know
## 1835 <NA>
## 1836 <NA>
## 1837 <NA>
## 1838 No (we do not use ML methods)
## 1839 We are exploring ML methods (and may one day put a model into production)
## 1840 We are exploring ML methods (and may one day put a model into production)
## 1841 <NA>
## 1842 We are exploring ML methods (and may one day put a model into production)
## 1843 We are exploring ML methods (and may one day put a model into production)
## 1844 <NA>
## 1845 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1846 <NA>
## 1847 We use ML methods for generating insights (but do not put working models into production)
## 1848 We have well established ML methods (i.e., models in production for more than 2 years)
## 1849 <NA>
## 1850 We have well established ML methods (i.e., models in production for more than 2 years)
## 1851 No (we do not use ML methods)
## 1852 We use ML methods for generating insights (but do not put working models into production)
## 1853 We are exploring ML methods (and may one day put a model into production)
## 1854 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1855 No (we do not use ML methods)
## 1856 I do not know
## 1857 We have well established ML methods (i.e., models in production for more than 2 years)
## 1858 We have well established ML methods (i.e., models in production for more than 2 years)
## 1859 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1860 We use ML methods for generating insights (but do not put working models into production)
## 1861 We have well established ML methods (i.e., models in production for more than 2 years)
## 1862 <NA>
## 1863 <NA>
## 1864 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1865 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1866 We use ML methods for generating insights (but do not put working models into production)
## 1867 We have well established ML methods (i.e., models in production for more than 2 years)
## 1868 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1869 No (we do not use ML methods)
## 1870 We use ML methods for generating insights (but do not put working models into production)
## 1871 We have well established ML methods (i.e., models in production for more than 2 years)
## 1872 <NA>
## 1873 <NA>
## 1874 <NA>
## 1875 We have well established ML methods (i.e., models in production for more than 2 years)
## 1876 No (we do not use ML methods)
## 1877 No (we do not use ML methods)
## 1878 We have well established ML methods (i.e., models in production for more than 2 years)
## 1879 We have well established ML methods (i.e., models in production for more than 2 years)
## 1880 We have well established ML methods (i.e., models in production for more than 2 years)
## 1881 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1882 We have well established ML methods (i.e., models in production for more than 2 years)
## 1883 No (we do not use ML methods)
## 1884 <NA>
## 1885 We have well established ML methods (i.e., models in production for more than 2 years)
## 1886 We are exploring ML methods (and may one day put a model into production)
## 1887 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1888 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1889 <NA>
## 1890 <NA>
## 1891 We use ML methods for generating insights (but do not put working models into production)
## 1892 We are exploring ML methods (and may one day put a model into production)
## 1893 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1894 We use ML methods for generating insights (but do not put working models into production)
## 1895 <NA>
## 1896 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1897 <NA>
## 1898 We have well established ML methods (i.e., models in production for more than 2 years)
## 1899 We use ML methods for generating insights (but do not put working models into production)
## 1900 <NA>
## 1901 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1902 I do not know
## 1903 We use ML methods for generating insights (but do not put working models into production)
## 1904 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1905 We use ML methods for generating insights (but do not put working models into production)
## 1906 We are exploring ML methods (and may one day put a model into production)
## 1907 We have well established ML methods (i.e., models in production for more than 2 years)
## 1908 We have well established ML methods (i.e., models in production for more than 2 years)
## 1909 We are exploring ML methods (and may one day put a model into production)
## 1910 We have well established ML methods (i.e., models in production for more than 2 years)
## 1911 <NA>
## 1912 No (we do not use ML methods)
## 1913 We are exploring ML methods (and may one day put a model into production)
## 1914 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1915 We are exploring ML methods (and may one day put a model into production)
## 1916 We are exploring ML methods (and may one day put a model into production)
## 1917 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1918 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1919 <NA>
## 1920 I do not know
## 1921 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1922 No (we do not use ML methods)
## 1923 We have well established ML methods (i.e., models in production for more than 2 years)
## 1924 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1925 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1926 <NA>
## 1927 We are exploring ML methods (and may one day put a model into production)
## 1928 <NA>
## 1929 We have well established ML methods (i.e., models in production for more than 2 years)
## 1930 <NA>
## 1931 I do not know
## 1932 <NA>
## 1933 We use ML methods for generating insights (but do not put working models into production)
## 1934 No (we do not use ML methods)
## 1935 We have well established ML methods (i.e., models in production for more than 2 years)
## 1936 We have well established ML methods (i.e., models in production for more than 2 years)
## 1937 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1938 We use ML methods for generating insights (but do not put working models into production)
## 1939 No (we do not use ML methods)
## 1940 We are exploring ML methods (and may one day put a model into production)
## 1941 We use ML methods for generating insights (but do not put working models into production)
## 1942 We are exploring ML methods (and may one day put a model into production)
## 1943 <NA>
## 1944 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1945 <NA>
## 1946 We are exploring ML methods (and may one day put a model into production)
## 1947 We have well established ML methods (i.e., models in production for more than 2 years)
## 1948 We use ML methods for generating insights (but do not put working models into production)
## 1949 We are exploring ML methods (and may one day put a model into production)
## 1950 We are exploring ML methods (and may one day put a model into production)
## 1951 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1952 I do not know
## 1953 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1954 We have well established ML methods (i.e., models in production for more than 2 years)
## 1955 We are exploring ML methods (and may one day put a model into production)
## 1956 We are exploring ML methods (and may one day put a model into production)
## 1957 I do not know
## 1958 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1959 No (we do not use ML methods)
## 1960 <NA>
## 1961 We are exploring ML methods (and may one day put a model into production)
## 1962 We have well established ML methods (i.e., models in production for more than 2 years)
## 1963 We use ML methods for generating insights (but do not put working models into production)
## 1964 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1965 No (we do not use ML methods)
## 1966 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1967 <NA>
## 1968 I do not know
## 1969 <NA>
## 1970 We have well established ML methods (i.e., models in production for more than 2 years)
## 1971 No (we do not use ML methods)
## 1972 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1973 <NA>
## 1974 No (we do not use ML methods)
## 1975 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1976 We have well established ML methods (i.e., models in production for more than 2 years)
## 1977 We are exploring ML methods (and may one day put a model into production)
## 1978 <NA>
## 1979 <NA>
## 1980 <NA>
## 1981 I do not know
## 1982 <NA>
## 1983 <NA>
## 1984 We have well established ML methods (i.e., models in production for more than 2 years)
## 1985 No (we do not use ML methods)
## 1986 No (we do not use ML methods)
## 1987 We are exploring ML methods (and may one day put a model into production)
## 1988 No (we do not use ML methods)
## 1989 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1990 No (we do not use ML methods)
## 1991 <NA>
## 1992 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1993 We use ML methods for generating insights (but do not put working models into production)
## 1994 No (we do not use ML methods)
## 1995 We have well established ML methods (i.e., models in production for more than 2 years)
## 1996 <NA>
## 1997 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1998 We have well established ML methods (i.e., models in production for more than 2 years)
## 1999 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2000 No (we do not use ML methods)
## 2001 We have well established ML methods (i.e., models in production for more than 2 years)
## 2002 We have well established ML methods (i.e., models in production for more than 2 years)
## 2003 We are exploring ML methods (and may one day put a model into production)
## 2004 No (we do not use ML methods)
## 2005 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2006 We have well established ML methods (i.e., models in production for more than 2 years)
## 2007 We have well established ML methods (i.e., models in production for more than 2 years)
## 2008 No (we do not use ML methods)
## 2009 <NA>
## 2010 We are exploring ML methods (and may one day put a model into production)
## 2011 <NA>
## 2012 <NA>
## 2013 We are exploring ML methods (and may one day put a model into production)
## 2014 <NA>
## 2015 We are exploring ML methods (and may one day put a model into production)
## 2016 We are exploring ML methods (and may one day put a model into production)
## 2017 We are exploring ML methods (and may one day put a model into production)
## 2018 We use ML methods for generating insights (but do not put working models into production)
## 2019 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2020 We are exploring ML methods (and may one day put a model into production)
## 2021 We are exploring ML methods (and may one day put a model into production)
## 2022 We are exploring ML methods (and may one day put a model into production)
## 2023 <NA>
## 2024 I do not know
## 2025 We are exploring ML methods (and may one day put a model into production)
## 2026 We are exploring ML methods (and may one day put a model into production)
## 2027 I do not know
## 2028 No (we do not use ML methods)
## 2029 <NA>
## 2030 We use ML methods for generating insights (but do not put working models into production)
## 2031 We use ML methods for generating insights (but do not put working models into production)
## 2032 <NA>
## 2033 We use ML methods for generating insights (but do not put working models into production)
## 2034 <NA>
## 2035 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2036 No (we do not use ML methods)
## 2037 <NA>
## 2038 We have well established ML methods (i.e., models in production for more than 2 years)
## 2039 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2040 We have well established ML methods (i.e., models in production for more than 2 years)
## 2041 I do not know
## 2042 <NA>
## 2043 We are exploring ML methods (and may one day put a model into production)
## 2044 We use ML methods for generating insights (but do not put working models into production)
## 2045 No (we do not use ML methods)
## 2046 No (we do not use ML methods)
## 2047 We have well established ML methods (i.e., models in production for more than 2 years)
## 2048 We are exploring ML methods (and may one day put a model into production)
## 2049 <NA>
## 2050 <NA>
## 2051 We have well established ML methods (i.e., models in production for more than 2 years)
## 2052 <NA>
## 2053 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2054 We have well established ML methods (i.e., models in production for more than 2 years)
## 2055 We have well established ML methods (i.e., models in production for more than 2 years)
## 2056 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2057 We have well established ML methods (i.e., models in production for more than 2 years)
## 2058 I do not know
## 2059 No (we do not use ML methods)
## 2060 <NA>
## 2061 <NA>
## 2062 No (we do not use ML methods)
## 2063 We have well established ML methods (i.e., models in production for more than 2 years)
## 2064 <NA>
## 2065 No (we do not use ML methods)
## 2066 We have well established ML methods (i.e., models in production for more than 2 years)
## 2067 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2068 We are exploring ML methods (and may one day put a model into production)
## 2069 <NA>
## 2070 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2071 We have well established ML methods (i.e., models in production for more than 2 years)
## 2072 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2073 We have well established ML methods (i.e., models in production for more than 2 years)
## 2074 No (we do not use ML methods)
## 2075 We are exploring ML methods (and may one day put a model into production)
## 2076 We have well established ML methods (i.e., models in production for more than 2 years)
## 2077 We are exploring ML methods (and may one day put a model into production)
## 2078 We are exploring ML methods (and may one day put a model into production)
## 2079 No (we do not use ML methods)
## 2080 We use ML methods for generating insights (but do not put working models into production)
## 2081 <NA>
## 2082 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2083 No (we do not use ML methods)
## 2084 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2085 We have well established ML methods (i.e., models in production for more than 2 years)
## 2086 We have well established ML methods (i.e., models in production for more than 2 years)
## 2087 I do not know
## 2088 No (we do not use ML methods)
## 2089 No (we do not use ML methods)
## 2090 We are exploring ML methods (and may one day put a model into production)
## 2091 No (we do not use ML methods)
## 2092 We are exploring ML methods (and may one day put a model into production)
## 2093 <NA>
## 2094 We are exploring ML methods (and may one day put a model into production)
## 2095 <NA>
## 2096 We have well established ML methods (i.e., models in production for more than 2 years)
## 2097 <NA>
## 2098 We have well established ML methods (i.e., models in production for more than 2 years)
## 2099 No (we do not use ML methods)
## 2100 We use ML methods for generating insights (but do not put working models into production)
## 2101 We use ML methods for generating insights (but do not put working models into production)
## 2102 <NA>
## 2103 We have well established ML methods (i.e., models in production for more than 2 years)
## 2104 We use ML methods for generating insights (but do not put working models into production)
## 2105 We use ML methods for generating insights (but do not put working models into production)
## 2106 We use ML methods for generating insights (but do not put working models into production)
## 2107 No (we do not use ML methods)
## 2108 No (we do not use ML methods)
## 2109 We are exploring ML methods (and may one day put a model into production)
## 2110 We are exploring ML methods (and may one day put a model into production)
## 2111 We are exploring ML methods (and may one day put a model into production)
## 2112 <NA>
## 2113 I do not know
## 2114 No (we do not use ML methods)
## 2115 We have well established ML methods (i.e., models in production for more than 2 years)
## 2116 <NA>
## 2117 <NA>
## 2118 <NA>
## 2119 We have well established ML methods (i.e., models in production for more than 2 years)
## 2120 We use ML methods for generating insights (but do not put working models into production)
## 2121 We are exploring ML methods (and may one day put a model into production)
## 2122 <NA>
## 2123 No (we do not use ML methods)
## 2124 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2125 <NA>
## 2126 We use ML methods for generating insights (but do not put working models into production)
## 2127 No (we do not use ML methods)
## 2128 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2129 We have well established ML methods (i.e., models in production for more than 2 years)
## 2130 <NA>
## 2131 <NA>
## 2132 We have well established ML methods (i.e., models in production for more than 2 years)
## 2133 We are exploring ML methods (and may one day put a model into production)
## 2134 <NA>
## 2135 No (we do not use ML methods)
## 2136 We have well established ML methods (i.e., models in production for more than 2 years)
## 2137 We have well established ML methods (i.e., models in production for more than 2 years)
## 2138 We are exploring ML methods (and may one day put a model into production)
## 2139 <NA>
## 2140 No (we do not use ML methods)
## 2141 We have well established ML methods (i.e., models in production for more than 2 years)
## 2142 <NA>
## 2143 We have well established ML methods (i.e., models in production for more than 2 years)
## 2144 We are exploring ML methods (and may one day put a model into production)
## 2145 <NA>
## 2146 We are exploring ML methods (and may one day put a model into production)
## 2147 We have well established ML methods (i.e., models in production for more than 2 years)
## 2148 I do not know
## 2149 We are exploring ML methods (and may one day put a model into production)
## 2150 <NA>
## 2151 We use ML methods for generating insights (but do not put working models into production)
## 2152 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2153 We use ML methods for generating insights (but do not put working models into production)
## 2154 <NA>
## 2155 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2156 <NA>
## 2157 <NA>
## 2158 We have well established ML methods (i.e., models in production for more than 2 years)
## 2159 No (we do not use ML methods)
## 2160 No (we do not use ML methods)
## 2161 No (we do not use ML methods)
## 2162 We have well established ML methods (i.e., models in production for more than 2 years)
## 2163 No (we do not use ML methods)
## 2164 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2165 We use ML methods for generating insights (but do not put working models into production)
## 2166 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2167 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2168 We are exploring ML methods (and may one day put a model into production)
## 2169 We are exploring ML methods (and may one day put a model into production)
## 2170 We have well established ML methods (i.e., models in production for more than 2 years)
## 2171 <NA>
## 2172 We are exploring ML methods (and may one day put a model into production)
## 2173 <NA>
## 2174 <NA>
## 2175 We are exploring ML methods (and may one day put a model into production)
## 2176 <NA>
## 2177 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2178 We are exploring ML methods (and may one day put a model into production)
## 2179 We have well established ML methods (i.e., models in production for more than 2 years)
## 2180 We have well established ML methods (i.e., models in production for more than 2 years)
## 2181 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2182 We are exploring ML methods (and may one day put a model into production)
## 2183 We are exploring ML methods (and may one day put a model into production)
## 2184 <NA>
## 2185 We use ML methods for generating insights (but do not put working models into production)
## 2186 We use ML methods for generating insights (but do not put working models into production)
## 2187 <NA>
## 2188 We have well established ML methods (i.e., models in production for more than 2 years)
## 2189 We have well established ML methods (i.e., models in production for more than 2 years)
## 2190 <NA>
## 2191 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2192 No (we do not use ML methods)
## 2193 <NA>
## 2194 We have well established ML methods (i.e., models in production for more than 2 years)
## 2195 We have well established ML methods (i.e., models in production for more than 2 years)
## 2196 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2197 No (we do not use ML methods)
## 2198 <NA>
## 2199 We are exploring ML methods (and may one day put a model into production)
## 2200 We use ML methods for generating insights (but do not put working models into production)
## 2201 No (we do not use ML methods)
## 2202 We have well established ML methods (i.e., models in production for more than 2 years)
## 2203 We use ML methods for generating insights (but do not put working models into production)
## 2204 We are exploring ML methods (and may one day put a model into production)
## 2205 We have well established ML methods (i.e., models in production for more than 2 years)
## 2206 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2207 We are exploring ML methods (and may one day put a model into production)
## 2208 We have well established ML methods (i.e., models in production for more than 2 years)
## 2209 We have well established ML methods (i.e., models in production for more than 2 years)
## 2210 We have well established ML methods (i.e., models in production for more than 2 years)
## 2211 No (we do not use ML methods)
## 2212 We have well established ML methods (i.e., models in production for more than 2 years)
## 2213 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2214 No (we do not use ML methods)
## 2215 <NA>
## 2216 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2217 We have well established ML methods (i.e., models in production for more than 2 years)
## 2218 We have well established ML methods (i.e., models in production for more than 2 years)
## 2219 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2220 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2221 No (we do not use ML methods)
## 2222 We have well established ML methods (i.e., models in production for more than 2 years)
## 2223 We use ML methods for generating insights (but do not put working models into production)
## 2224 We have well established ML methods (i.e., models in production for more than 2 years)
## 2225 I do not know
## 2226 No (we do not use ML methods)
## 2227 We use ML methods for generating insights (but do not put working models into production)
## 2228 We are exploring ML methods (and may one day put a model into production)
## 2229 We have well established ML methods (i.e., models in production for more than 2 years)
## 2230 We have well established ML methods (i.e., models in production for more than 2 years)
## 2231 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2232 <NA>
## 2233 We use ML methods for generating insights (but do not put working models into production)
## 2234 <NA>
## 2235 <NA>
## 2236 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2237 We use ML methods for generating insights (but do not put working models into production)
## 2238 We have well established ML methods (i.e., models in production for more than 2 years)
## 2239 <NA>
## 2240 <NA>
## 2241 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2242 We use ML methods for generating insights (but do not put working models into production)
## 2243 We have well established ML methods (i.e., models in production for more than 2 years)
## 2244 We use ML methods for generating insights (but do not put working models into production)
## 2245 No (we do not use ML methods)
## 2246 No (we do not use ML methods)
## 2247 No (we do not use ML methods)
## 2248 <NA>
## 2249 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2250 <NA>
## 2251 <NA>
## 2252 No (we do not use ML methods)
## 2253 We use ML methods for generating insights (but do not put working models into production)
## 2254 We use ML methods for generating insights (but do not put working models into production)
## 2255 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2256 No (we do not use ML methods)
## 2257 We are exploring ML methods (and may one day put a model into production)
## 2258 No (we do not use ML methods)
## 2259 We are exploring ML methods (and may one day put a model into production)
## 2260 <NA>
## 2261 We have well established ML methods (i.e., models in production for more than 2 years)
## 2262 We use ML methods for generating insights (but do not put working models into production)
## 2263 I do not know
## 2264 <NA>
## 2265 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2266 <NA>
## 2267 No (we do not use ML methods)
## 2268 <NA>
## 2269 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2270 We have well established ML methods (i.e., models in production for more than 2 years)
## 2271 We have well established ML methods (i.e., models in production for more than 2 years)
## 2272 <NA>
## 2273 <NA>
## 2274 We use ML methods for generating insights (but do not put working models into production)
## 2275 No (we do not use ML methods)
## 2276 No (we do not use ML methods)
## 2277 We have well established ML methods (i.e., models in production for more than 2 years)
## 2278 <NA>
## 2279 We have well established ML methods (i.e., models in production for more than 2 years)
## 2280 No (we do not use ML methods)
## 2281 We have well established ML methods (i.e., models in production for more than 2 years)
## 2282 <NA>
## 2283 No (we do not use ML methods)
## 2284 <NA>
## 2285 No (we do not use ML methods)
## 2286 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2287 We use ML methods for generating insights (but do not put working models into production)
## 2288 We are exploring ML methods (and may one day put a model into production)
## 2289 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2290 No (we do not use ML methods)
## 2291 I do not know
## 2292 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2293 We are exploring ML methods (and may one day put a model into production)
## 2294 No (we do not use ML methods)
## 2295 We use ML methods for generating insights (but do not put working models into production)
## 2296 We are exploring ML methods (and may one day put a model into production)
## 2297 <NA>
## 2298 We use ML methods for generating insights (but do not put working models into production)
## 2299 We have well established ML methods (i.e., models in production for more than 2 years)
## 2300 No (we do not use ML methods)
## 2301 We are exploring ML methods (and may one day put a model into production)
## 2302 We are exploring ML methods (and may one day put a model into production)
## 2303 We have well established ML methods (i.e., models in production for more than 2 years)
## 2304 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2305 No (we do not use ML methods)
## 2306 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2307 We use ML methods for generating insights (but do not put working models into production)
## 2308 We have well established ML methods (i.e., models in production for more than 2 years)
## 2309 I do not know
## 2310 <NA>
## 2311 No (we do not use ML methods)
## 2312 <NA>
## 2313 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2314 We are exploring ML methods (and may one day put a model into production)
## 2315 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2316 We have well established ML methods (i.e., models in production for more than 2 years)
## 2317 We have well established ML methods (i.e., models in production for more than 2 years)
## 2318 We have well established ML methods (i.e., models in production for more than 2 years)
## 2319 <NA>
## 2320 <NA>
## 2321 We use ML methods for generating insights (but do not put working models into production)
## 2322 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2323 We have well established ML methods (i.e., models in production for more than 2 years)
## 2324 <NA>
## 2325 We have well established ML methods (i.e., models in production for more than 2 years)
## 2326 We have well established ML methods (i.e., models in production for more than 2 years)
## 2327 We have well established ML methods (i.e., models in production for more than 2 years)
## 2328 We have well established ML methods (i.e., models in production for more than 2 years)
## 2329 We are exploring ML methods (and may one day put a model into production)
## 2330 <NA>
## 2331 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2332 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2333 No (we do not use ML methods)
## 2334 No (we do not use ML methods)
## 2335 <NA>
## 2336 <NA>
## 2337 No (we do not use ML methods)
## 2338 We are exploring ML methods (and may one day put a model into production)
## 2339 We are exploring ML methods (and may one day put a model into production)
## 2340 No (we do not use ML methods)
## 2341 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2342 We have well established ML methods (i.e., models in production for more than 2 years)
## 2343 We use ML methods for generating insights (but do not put working models into production)
## 2344 <NA>
## 2345 <NA>
## 2346 <NA>
## 2347 <NA>
## 2348 <NA>
## 2349 I do not know
## 2350 <NA>
## 2351 We have well established ML methods (i.e., models in production for more than 2 years)
## 2352 We are exploring ML methods (and may one day put a model into production)
## 2353 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2354 No (we do not use ML methods)
## 2355 No (we do not use ML methods)
## 2356 We have well established ML methods (i.e., models in production for more than 2 years)
## 2357 <NA>
## 2358 We are exploring ML methods (and may one day put a model into production)
## 2359 We have well established ML methods (i.e., models in production for more than 2 years)
## 2360 No (we do not use ML methods)
## 2361 We are exploring ML methods (and may one day put a model into production)
## 2362 We are exploring ML methods (and may one day put a model into production)
## 2363 We have well established ML methods (i.e., models in production for more than 2 years)
## 2364 No (we do not use ML methods)
## 2365 <NA>
## 2366 We use ML methods for generating insights (but do not put working models into production)
## 2367 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2368 <NA>
## 2369 I do not know
## 2370 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2371 We have well established ML methods (i.e., models in production for more than 2 years)
## 2372 <NA>
## 2373 We are exploring ML methods (and may one day put a model into production)
## 2374 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2375 We are exploring ML methods (and may one day put a model into production)
## 2376 No (we do not use ML methods)
## 2377 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2378 No (we do not use ML methods)
## 2379 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2380 <NA>
## 2381 We are exploring ML methods (and may one day put a model into production)
## 2382 We have well established ML methods (i.e., models in production for more than 2 years)
## 2383 We have well established ML methods (i.e., models in production for more than 2 years)
## 2384 We are exploring ML methods (and may one day put a model into production)
## 2385 We use ML methods for generating insights (but do not put working models into production)
## 2386 We have well established ML methods (i.e., models in production for more than 2 years)
## 2387 We are exploring ML methods (and may one day put a model into production)
## 2388 <NA>
## 2389 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2390 <NA>
## 2391 We have well established ML methods (i.e., models in production for more than 2 years)
## 2392 I do not know
## 2393 No (we do not use ML methods)
## 2394 We use ML methods for generating insights (but do not put working models into production)
## 2395 We are exploring ML methods (and may one day put a model into production)
## 2396 We have well established ML methods (i.e., models in production for more than 2 years)
## 2397 <NA>
## 2398 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2399 <NA>
## 2400 <NA>
## 2401 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2402 We use ML methods for generating insights (but do not put working models into production)
## 2403 <NA>
## 2404 We are exploring ML methods (and may one day put a model into production)
## 2405 <NA>
## 2406 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2407 We are exploring ML methods (and may one day put a model into production)
## 2408 I do not know
## 2409 <NA>
## 2410 We are exploring ML methods (and may one day put a model into production)
## 2411 We use ML methods for generating insights (but do not put working models into production)
## 2412 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2413 We use ML methods for generating insights (but do not put working models into production)
## 2414 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2415 We use ML methods for generating insights (but do not put working models into production)
## 2416 I do not know
## 2417 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2418 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2419 <NA>
## 2420 <NA>
## 2421 <NA>
## 2422 <NA>
## 2423 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2424 We have well established ML methods (i.e., models in production for more than 2 years)
## 2425 We have well established ML methods (i.e., models in production for more than 2 years)
## 2426 <NA>
## 2427 We are exploring ML methods (and may one day put a model into production)
## 2428 <NA>
## 2429 We are exploring ML methods (and may one day put a model into production)
## 2430 We have well established ML methods (i.e., models in production for more than 2 years)
## 2431 I do not know
## 2432 <NA>
## 2433 We use ML methods for generating insights (but do not put working models into production)
## 2434 <NA>
## 2435 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2436 We are exploring ML methods (and may one day put a model into production)
## 2437 No (we do not use ML methods)
## 2438 We use ML methods for generating insights (but do not put working models into production)
## 2439 No (we do not use ML methods)
## 2440 We have well established ML methods (i.e., models in production for more than 2 years)
## 2441 <NA>
## 2442 <NA>
## 2443 We have well established ML methods (i.e., models in production for more than 2 years)
## 2444 We have well established ML methods (i.e., models in production for more than 2 years)
## 2445 I do not know
## 2446 No (we do not use ML methods)
## 2447 <NA>
## 2448 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2449 We use ML methods for generating insights (but do not put working models into production)
## 2450 We have well established ML methods (i.e., models in production for more than 2 years)
## 2451 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2452 No (we do not use ML methods)
## 2453 We use ML methods for generating insights (but do not put working models into production)
## 2454 No (we do not use ML methods)
## 2455 We use ML methods for generating insights (but do not put working models into production)
## 2456 We have well established ML methods (i.e., models in production for more than 2 years)
## 2457 <NA>
## 2458 We are exploring ML methods (and may one day put a model into production)
## 2459 We have well established ML methods (i.e., models in production for more than 2 years)
## 2460 We use ML methods for generating insights (but do not put working models into production)
## 2461 We are exploring ML methods (and may one day put a model into production)
## 2462 No (we do not use ML methods)
## 2463 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2464 We are exploring ML methods (and may one day put a model into production)
## 2465 I do not know
## 2466 We have well established ML methods (i.e., models in production for more than 2 years)
## 2467 <NA>
## 2468 We are exploring ML methods (and may one day put a model into production)
## 2469 I do not know
## 2470 <NA>
## 2471 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2472 <NA>
## 2473 We have well established ML methods (i.e., models in production for more than 2 years)
## 2474 We are exploring ML methods (and may one day put a model into production)
## 2475 <NA>
## 2476 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2477 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2478 <NA>
## 2479 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2480 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2481 We are exploring ML methods (and may one day put a model into production)
## 2482 I do not know
## 2483 <NA>
## 2484 <NA>
## 2485 <NA>
## 2486 We are exploring ML methods (and may one day put a model into production)
## 2487 We use ML methods for generating insights (but do not put working models into production)
## 2488 <NA>
## 2489 No (we do not use ML methods)
## 2490 We have well established ML methods (i.e., models in production for more than 2 years)
## 2491 We are exploring ML methods (and may one day put a model into production)
## 2492 No (we do not use ML methods)
## 2493 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2494 We have well established ML methods (i.e., models in production for more than 2 years)
## 2495 I do not know
## 2496 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2497 <NA>
## 2498 We use ML methods for generating insights (but do not put working models into production)
## 2499 We use ML methods for generating insights (but do not put working models into production)
## 2500 <NA>
## 2501 No (we do not use ML methods)
## 2502 We use ML methods for generating insights (but do not put working models into production)
## 2503 <NA>
## 2504 No (we do not use ML methods)
## 2505 We have well established ML methods (i.e., models in production for more than 2 years)
## 2506 <NA>
## 2507 I do not know
## 2508 No (we do not use ML methods)
## 2509 We are exploring ML methods (and may one day put a model into production)
## 2510 No (we do not use ML methods)
## 2511 <NA>
## 2512 We are exploring ML methods (and may one day put a model into production)
## 2513 We are exploring ML methods (and may one day put a model into production)
## 2514 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2515 <NA>
## 2516 <NA>
## 2517 We are exploring ML methods (and may one day put a model into production)
## 2518 I do not know
## 2519 We use ML methods for generating insights (but do not put working models into production)
## 2520 <NA>
## 2521 We use ML methods for generating insights (but do not put working models into production)
## 2522 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2523 We use ML methods for generating insights (but do not put working models into production)
## 2524 No (we do not use ML methods)
## 2525 We are exploring ML methods (and may one day put a model into production)
## 2526 No (we do not use ML methods)
## 2527 I do not know
## 2528 No (we do not use ML methods)
## 2529 We have well established ML methods (i.e., models in production for more than 2 years)
## 2530 We are exploring ML methods (and may one day put a model into production)
## 2531 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2532 We use ML methods for generating insights (but do not put working models into production)
## 2533 I do not know
## 2534 We use ML methods for generating insights (but do not put working models into production)
## 2535 We are exploring ML methods (and may one day put a model into production)
## 2536 We are exploring ML methods (and may one day put a model into production)
## 2537 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2538 <NA>
## 2539 <NA>
## 2540 <NA>
## 2541 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2542 <NA>
## 2543 <NA>
## 2544 No (we do not use ML methods)
## 2545 We use ML methods for generating insights (but do not put working models into production)
## 2546 We have well established ML methods (i.e., models in production for more than 2 years)
## 2547 We are exploring ML methods (and may one day put a model into production)
## 2548 We have well established ML methods (i.e., models in production for more than 2 years)
## 2549 <NA>
## 2550 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2551 We have well established ML methods (i.e., models in production for more than 2 years)
## 2552 We are exploring ML methods (and may one day put a model into production)
## 2553 I do not know
## 2554 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2555 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2556 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2557 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2558 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2559 We use ML methods for generating insights (but do not put working models into production)
## 2560 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2561 We are exploring ML methods (and may one day put a model into production)
## 2562 <NA>
## 2563 We have well established ML methods (i.e., models in production for more than 2 years)
## 2564 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2565 <NA>
## 2566 No (we do not use ML methods)
## 2567 We are exploring ML methods (and may one day put a model into production)
## 2568 We are exploring ML methods (and may one day put a model into production)
## 2569 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2570 We are exploring ML methods (and may one day put a model into production)
## 2571 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2572 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2573 We are exploring ML methods (and may one day put a model into production)
## 2574 No (we do not use ML methods)
## 2575 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2576 No (we do not use ML methods)
## 2577 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2578 We have well established ML methods (i.e., models in production for more than 2 years)
## 2579 No (we do not use ML methods)
## 2580 <NA>
## 2581 We are exploring ML methods (and may one day put a model into production)
## 2582 We have well established ML methods (i.e., models in production for more than 2 years)
## 2583 We use ML methods for generating insights (but do not put working models into production)
## 2584 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2585 No (we do not use ML methods)
## 2586 No (we do not use ML methods)
## 2587 We have well established ML methods (i.e., models in production for more than 2 years)
## 2588 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2589 No (we do not use ML methods)
## 2590 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2591 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2592 We have well established ML methods (i.e., models in production for more than 2 years)
## 2593 <NA>
## 2594 <NA>
## 2595 No (we do not use ML methods)
## 2596 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2597 <NA>
## 2598 <NA>
## 2599 We have well established ML methods (i.e., models in production for more than 2 years)
## 2600 We use ML methods for generating insights (but do not put working models into production)
## 2601 We use ML methods for generating insights (but do not put working models into production)
## 2602 No (we do not use ML methods)
## 2603 <NA>
## 2604 We have well established ML methods (i.e., models in production for more than 2 years)
## 2605 We have well established ML methods (i.e., models in production for more than 2 years)
## 2606 We use ML methods for generating insights (but do not put working models into production)
## 2607 We have well established ML methods (i.e., models in production for more than 2 years)
## 2608 <NA>
## 2609 <NA>
## 2610 <NA>
## 2611 <NA>
## 2612 No (we do not use ML methods)
## 2613 <NA>
## 2614 <NA>
## 2615 No (we do not use ML methods)
## 2616 We use ML methods for generating insights (but do not put working models into production)
## 2617 We have well established ML methods (i.e., models in production for more than 2 years)
## 2618 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2619 No (we do not use ML methods)
## 2620 We are exploring ML methods (and may one day put a model into production)
## 2621 <NA>
## 2622 We are exploring ML methods (and may one day put a model into production)
## 2623 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2624 <NA>
## 2625 We are exploring ML methods (and may one day put a model into production)
## 2626 No (we do not use ML methods)
## 2627 We have well established ML methods (i.e., models in production for more than 2 years)
## 2628 We are exploring ML methods (and may one day put a model into production)
## 2629 <NA>
## 2630 We have well established ML methods (i.e., models in production for more than 2 years)
## 2631 I do not know
## 2632 <NA>
## 2633 We have well established ML methods (i.e., models in production for more than 2 years)
## 2634 <NA>
## 2635 No (we do not use ML methods)
## 2636 No (we do not use ML methods)
## 2637 <NA>
## 2638 <NA>
## 2639 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2640 We have well established ML methods (i.e., models in production for more than 2 years)
## 2641 We have well established ML methods (i.e., models in production for more than 2 years)
## 2642 I do not know
## 2643 We are exploring ML methods (and may one day put a model into production)
## 2644 We are exploring ML methods (and may one day put a model into production)
## 2645 We are exploring ML methods (and may one day put a model into production)
## 2646 I do not know
## 2647 <NA>
## 2648 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2649 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2650 <NA>
## 2651 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2652 We have well established ML methods (i.e., models in production for more than 2 years)
## 2653 We use ML methods for generating insights (but do not put working models into production)
## 2654 We have well established ML methods (i.e., models in production for more than 2 years)
## 2655 We are exploring ML methods (and may one day put a model into production)
## 2656 We are exploring ML methods (and may one day put a model into production)
## 2657 No (we do not use ML methods)
## 2658 <NA>
## 2659 We use ML methods for generating insights (but do not put working models into production)
## 2660 We use ML methods for generating insights (but do not put working models into production)
## 2661 <NA>
## 2662 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2663 <NA>
## 2664 No (we do not use ML methods)
## 2665 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2666 We have well established ML methods (i.e., models in production for more than 2 years)
## 2667 No (we do not use ML methods)
## 2668 I do not know
## 2669 <NA>
## 2670 We use ML methods for generating insights (but do not put working models into production)
## 2671 We are exploring ML methods (and may one day put a model into production)
## 2672 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2673 <NA>
## 2674 We have well established ML methods (i.e., models in production for more than 2 years)
## 2675 <NA>
## 2676 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2677 <NA>
## 2678 <NA>
## 2679 We have well established ML methods (i.e., models in production for more than 2 years)
## 2680 No (we do not use ML methods)
## 2681 <NA>
## 2682 No (we do not use ML methods)
## 2683 <NA>
## 2684 I do not know
## 2685 I do not know
## 2686 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2687 We have well established ML methods (i.e., models in production for more than 2 years)
## 2688 No (we do not use ML methods)
## 2689 We are exploring ML methods (and may one day put a model into production)
## 2690 We use ML methods for generating insights (but do not put working models into production)
## 2691 We are exploring ML methods (and may one day put a model into production)
## 2692 No (we do not use ML methods)
## 2693 <NA>
## 2694 We are exploring ML methods (and may one day put a model into production)
## 2695 We have well established ML methods (i.e., models in production for more than 2 years)
## 2696 We use ML methods for generating insights (but do not put working models into production)
## 2697 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2698 We have well established ML methods (i.e., models in production for more than 2 years)
## 2699 <NA>
## 2700 We use ML methods for generating insights (but do not put working models into production)
## 2701 <NA>
## 2702 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2703 <NA>
## 2704 We use ML methods for generating insights (but do not put working models into production)
## 2705 I do not know
## 2706 We have well established ML methods (i.e., models in production for more than 2 years)
## 2707 No (we do not use ML methods)
## 2708 <NA>
## 2709 We are exploring ML methods (and may one day put a model into production)
## 2710 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2711 We have well established ML methods (i.e., models in production for more than 2 years)
## 2712 No (we do not use ML methods)
## 2713 We have well established ML methods (i.e., models in production for more than 2 years)
## 2714 We use ML methods for generating insights (but do not put working models into production)
## 2715 No (we do not use ML methods)
## 2716 <NA>
## 2717 <NA>
## 2718 We have well established ML methods (i.e., models in production for more than 2 years)
## 2719 We are exploring ML methods (and may one day put a model into production)
## 2720 <NA>
## 2721 We are exploring ML methods (and may one day put a model into production)
## 2722 We have well established ML methods (i.e., models in production for more than 2 years)
## 2723 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2724 No (we do not use ML methods)
## 2725 We are exploring ML methods (and may one day put a model into production)
## 2726 We have well established ML methods (i.e., models in production for more than 2 years)
## 2727 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2728 No (we do not use ML methods)
## 2729 <NA>
## 2730 <NA>
## 2731 I do not know
## 2732 We are exploring ML methods (and may one day put a model into production)
## 2733 We have well established ML methods (i.e., models in production for more than 2 years)
## 2734 <NA>
## 2735 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2736 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2737 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2738 <NA>
## 2739 No (we do not use ML methods)
## 2740 We are exploring ML methods (and may one day put a model into production)
## 2741 We have well established ML methods (i.e., models in production for more than 2 years)
## 2742 We have well established ML methods (i.e., models in production for more than 2 years)
## 2743 <NA>
## 2744 We have well established ML methods (i.e., models in production for more than 2 years)
## 2745 We have well established ML methods (i.e., models in production for more than 2 years)
## 2746 We are exploring ML methods (and may one day put a model into production)
## 2747 We have well established ML methods (i.e., models in production for more than 2 years)
## 2748 <NA>
## 2749 We have well established ML methods (i.e., models in production for more than 2 years)
## 2750 <NA>
## 2751 We are exploring ML methods (and may one day put a model into production)
## 2752 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2753 We have well established ML methods (i.e., models in production for more than 2 years)
## 2754 We use ML methods for generating insights (but do not put working models into production)
## 2755 We have well established ML methods (i.e., models in production for more than 2 years)
## 2756 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2757 We have well established ML methods (i.e., models in production for more than 2 years)
## 2758 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2759 We are exploring ML methods (and may one day put a model into production)
## 2760 I do not know
## 2761 We are exploring ML methods (and may one day put a model into production)
## 2762 We have well established ML methods (i.e., models in production for more than 2 years)
## 2763 <NA>
## 2764 <NA>
## 2765 No (we do not use ML methods)
## 2766 We have well established ML methods (i.e., models in production for more than 2 years)
## 2767 No (we do not use ML methods)
## 2768 We have well established ML methods (i.e., models in production for more than 2 years)
## 2769 No (we do not use ML methods)
## 2770 We have well established ML methods (i.e., models in production for more than 2 years)
## 2771 <NA>
## 2772 We have well established ML methods (i.e., models in production for more than 2 years)
## 2773 We use ML methods for generating insights (but do not put working models into production)
## 2774 <NA>
## 2775 We are exploring ML methods (and may one day put a model into production)
## 2776 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2777 <NA>
## 2778 <NA>
## 2779 <NA>
## 2780 We are exploring ML methods (and may one day put a model into production)
## 2781 No (we do not use ML methods)
## 2782 We use ML methods for generating insights (but do not put working models into production)
## 2783 <NA>
## 2784 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2785 We use ML methods for generating insights (but do not put working models into production)
## 2786 We have well established ML methods (i.e., models in production for more than 2 years)
## 2787 We use ML methods for generating insights (but do not put working models into production)
## 2788 I do not know
## 2789 <NA>
## 2790 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2791 No (we do not use ML methods)
## 2792 We are exploring ML methods (and may one day put a model into production)
## 2793 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2794 <NA>
## 2795 <NA>
## 2796 No (we do not use ML methods)
## 2797 No (we do not use ML methods)
## 2798 We have well established ML methods (i.e., models in production for more than 2 years)
## 2799 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2800 We have well established ML methods (i.e., models in production for more than 2 years)
## 2801 We are exploring ML methods (and may one day put a model into production)
## 2802 We have well established ML methods (i.e., models in production for more than 2 years)
## 2803 We have well established ML methods (i.e., models in production for more than 2 years)
## 2804 We have well established ML methods (i.e., models in production for more than 2 years)
## 2805 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2806 We have well established ML methods (i.e., models in production for more than 2 years)
## 2807 We have well established ML methods (i.e., models in production for more than 2 years)
## 2808 <NA>
## 2809 We use ML methods for generating insights (but do not put working models into production)
## 2810 <NA>
## 2811 We use ML methods for generating insights (but do not put working models into production)
## 2812 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2813 We use ML methods for generating insights (but do not put working models into production)
## 2814 No (we do not use ML methods)
## 2815 <NA>
## 2816 I do not know
## 2817 No (we do not use ML methods)
## 2818 We have well established ML methods (i.e., models in production for more than 2 years)
## 2819 We are exploring ML methods (and may one day put a model into production)
## 2820 We use ML methods for generating insights (but do not put working models into production)
## 2821 I do not know
## 2822 <NA>
## 2823 <NA>
## 2824 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2825 No (we do not use ML methods)
## 2826 No (we do not use ML methods)
## 2827 <NA>
## 2828 <NA>
## 2829 No (we do not use ML methods)
## 2830 We are exploring ML methods (and may one day put a model into production)
## 2831 <NA>
## 2832 We use ML methods for generating insights (but do not put working models into production)
## 2833 We are exploring ML methods (and may one day put a model into production)
## 2834 We have well established ML methods (i.e., models in production for more than 2 years)
## 2835 <NA>
## 2836 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2837 We have well established ML methods (i.e., models in production for more than 2 years)
## 2838 <NA>
## 2839 We are exploring ML methods (and may one day put a model into production)
## 2840 <NA>
## 2841 We are exploring ML methods (and may one day put a model into production)
## 2842 I do not know
## 2843 No (we do not use ML methods)
## 2844 We use ML methods for generating insights (but do not put working models into production)
## 2845 <NA>
## 2846 We use ML methods for generating insights (but do not put working models into production)
## 2847 No (we do not use ML methods)
## 2848 <NA>
## 2849 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2850 We use ML methods for generating insights (but do not put working models into production)
## 2851 We are exploring ML methods (and may one day put a model into production)
## 2852 <NA>
## 2853 We use ML methods for generating insights (but do not put working models into production)
## 2854 No (we do not use ML methods)
## 2855 <NA>
## 2856 We are exploring ML methods (and may one day put a model into production)
## 2857 We use ML methods for generating insights (but do not put working models into production)
## 2858 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2859 <NA>
## 2860 <NA>
## 2861 <NA>
## 2862 No (we do not use ML methods)
## 2863 No (we do not use ML methods)
## 2864 I do not know
## 2865 No (we do not use ML methods)
## 2866 <NA>
## 2867 We are exploring ML methods (and may one day put a model into production)
## 2868 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2869 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2870 <NA>
## 2871 No (we do not use ML methods)
## 2872 We have well established ML methods (i.e., models in production for more than 2 years)
## 2873 <NA>
## 2874 <NA>
## 2875 I do not know
## 2876 We are exploring ML methods (and may one day put a model into production)
## 2877 No (we do not use ML methods)
## 2878 No (we do not use ML methods)
## 2879 We use ML methods for generating insights (but do not put working models into production)
## 2880 We are exploring ML methods (and may one day put a model into production)
## 2881 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2882 We have well established ML methods (i.e., models in production for more than 2 years)
## 2883 <NA>
## 2884 <NA>
## 2885 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2886 No (we do not use ML methods)
## 2887 No (we do not use ML methods)
## 2888 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2889 We are exploring ML methods (and may one day put a model into production)
## 2890 No (we do not use ML methods)
## 2891 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2892 We have well established ML methods (i.e., models in production for more than 2 years)
## 2893 We have well established ML methods (i.e., models in production for more than 2 years)
## 2894 We are exploring ML methods (and may one day put a model into production)
## 2895 We have well established ML methods (i.e., models in production for more than 2 years)
## 2896 <NA>
## 2897 We are exploring ML methods (and may one day put a model into production)
## 2898 We have well established ML methods (i.e., models in production for more than 2 years)
## 2899 <NA>
## 2900 <NA>
## 2901 <NA>
## 2902 <NA>
## 2903 <NA>
## 2904 <NA>
## 2905 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2906 We use ML methods for generating insights (but do not put working models into production)
## 2907 We have well established ML methods (i.e., models in production for more than 2 years)
## 2908 We are exploring ML methods (and may one day put a model into production)
## 2909 We are exploring ML methods (and may one day put a model into production)
## 2910 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2911 <NA>
## 2912 We have well established ML methods (i.e., models in production for more than 2 years)
## 2913 We have well established ML methods (i.e., models in production for more than 2 years)
## 2914 We use ML methods for generating insights (but do not put working models into production)
## 2915 <NA>
## 2916 We are exploring ML methods (and may one day put a model into production)
## 2917 We have well established ML methods (i.e., models in production for more than 2 years)
## 2918 We have well established ML methods (i.e., models in production for more than 2 years)
## 2919 I do not know
## 2920 <NA>
## 2921 We are exploring ML methods (and may one day put a model into production)
## 2922 We use ML methods for generating insights (but do not put working models into production)
## 2923 We are exploring ML methods (and may one day put a model into production)
## 2924 No (we do not use ML methods)
## 2925 I do not know
## 2926 <NA>
## 2927 <NA>
## 2928 <NA>
## 2929 I do not know
## 2930 We have well established ML methods (i.e., models in production for more than 2 years)
## 2931 <NA>
## 2932 We use ML methods for generating insights (but do not put working models into production)
## 2933 <NA>
## 2934 We use ML methods for generating insights (but do not put working models into production)
## 2935 <NA>
## 2936 No (we do not use ML methods)
## 2937 <NA>
## 2938 I do not know
## 2939 I do not know
## 2940 We use ML methods for generating insights (but do not put working models into production)
## 2941 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2942 I do not know
## 2943 <NA>
## 2944 We are exploring ML methods (and may one day put a model into production)
## 2945 I do not know
## 2946 <NA>
## 2947 <NA>
## 2948 We have well established ML methods (i.e., models in production for more than 2 years)
## 2949 <NA>
## 2950 <NA>
## 2951 <NA>
## 2952 No (we do not use ML methods)
## 2953 <NA>
## 2954 <NA>
## 2955 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2956 No (we do not use ML methods)
## 2957 No (we do not use ML methods)
## 2958 We use ML methods for generating insights (but do not put working models into production)
## 2959 We use ML methods for generating insights (but do not put working models into production)
## 2960 We are exploring ML methods (and may one day put a model into production)
## 2961 We have well established ML methods (i.e., models in production for more than 2 years)
## 2962 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2963 We use ML methods for generating insights (but do not put working models into production)
## 2964 No (we do not use ML methods)
## 2965 I do not know
## 2966 I do not know
## 2967 <NA>
## 2968 We have well established ML methods (i.e., models in production for more than 2 years)
## 2969 <NA>
## 2970 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2971 <NA>
## 2972 <NA>
## 2973 <NA>
## 2974 We are exploring ML methods (and may one day put a model into production)
## 2975 <NA>
## 2976 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2977 We are exploring ML methods (and may one day put a model into production)
## 2978 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2979 We have well established ML methods (i.e., models in production for more than 2 years)
## 2980 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2981 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2982 We are exploring ML methods (and may one day put a model into production)
## 2983 We are exploring ML methods (and may one day put a model into production)
## 2984 We are exploring ML methods (and may one day put a model into production)
## 2985 We have well established ML methods (i.e., models in production for more than 2 years)
## 2986 I do not know
## 2987 I do not know
## 2988 <NA>
## 2989 <NA>
## 2990 We are exploring ML methods (and may one day put a model into production)
## 2991 We are exploring ML methods (and may one day put a model into production)
## 2992 <NA>
## 2993 <NA>
## 2994 No (we do not use ML methods)
## 2995 <NA>
## 2996 <NA>
## 2997 We use ML methods for generating insights (but do not put working models into production)
## 2998 No (we do not use ML methods)
## 2999 We are exploring ML methods (and may one day put a model into production)
## 3000 We have well established ML methods (i.e., models in production for more than 2 years)
## 3001 We are exploring ML methods (and may one day put a model into production)
## 3002 We have well established ML methods (i.e., models in production for more than 2 years)
## 3003 We use ML methods for generating insights (but do not put working models into production)
## 3004 We are exploring ML methods (and may one day put a model into production)
## 3005 <NA>
## 3006 No (we do not use ML methods)
## 3007 We are exploring ML methods (and may one day put a model into production)
## 3008 We have well established ML methods (i.e., models in production for more than 2 years)
## 3009 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3010 We use ML methods for generating insights (but do not put working models into production)
## 3011 No (we do not use ML methods)
## 3012 <NA>
## 3013 We have well established ML methods (i.e., models in production for more than 2 years)
## 3014 We have well established ML methods (i.e., models in production for more than 2 years)
## 3015 I do not know
## 3016 <NA>
## 3017 We are exploring ML methods (and may one day put a model into production)
## 3018 <NA>
## 3019 We are exploring ML methods (and may one day put a model into production)
## 3020 <NA>
## 3021 <NA>
## 3022 <NA>
## 3023 We have well established ML methods (i.e., models in production for more than 2 years)
## 3024 No (we do not use ML methods)
## 3025 We have well established ML methods (i.e., models in production for more than 2 years)
## 3026 We have well established ML methods (i.e., models in production for more than 2 years)
## 3027 No (we do not use ML methods)
## 3028 We use ML methods for generating insights (but do not put working models into production)
## 3029 No (we do not use ML methods)
## 3030 We are exploring ML methods (and may one day put a model into production)
## 3031 We use ML methods for generating insights (but do not put working models into production)
## 3032 We are exploring ML methods (and may one day put a model into production)
## 3033 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3034 No (we do not use ML methods)
## 3035 No (we do not use ML methods)
## 3036 We are exploring ML methods (and may one day put a model into production)
## 3037 <NA>
## 3038 <NA>
## 3039 We have well established ML methods (i.e., models in production for more than 2 years)
## 3040 <NA>
## 3041 We have well established ML methods (i.e., models in production for more than 2 years)
## 3042 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3043 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3044 No (we do not use ML methods)
## 3045 I do not know
## 3046 We are exploring ML methods (and may one day put a model into production)
## 3047 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3048 We have well established ML methods (i.e., models in production for more than 2 years)
## 3049 We have well established ML methods (i.e., models in production for more than 2 years)
## 3050 We have well established ML methods (i.e., models in production for more than 2 years)
## 3051 We are exploring ML methods (and may one day put a model into production)
## 3052 We are exploring ML methods (and may one day put a model into production)
## 3053 No (we do not use ML methods)
## 3054 <NA>
## 3055 <NA>
## 3056 <NA>
## 3057 <NA>
## 3058 We have well established ML methods (i.e., models in production for more than 2 years)
## 3059 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3060 <NA>
## 3061 <NA>
## 3062 <NA>
## 3063 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3064 <NA>
## 3065 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3066 We have well established ML methods (i.e., models in production for more than 2 years)
## 3067 <NA>
## 3068 <NA>
## 3069 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3070 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3071 We have well established ML methods (i.e., models in production for more than 2 years)
## 3072 <NA>
## 3073 We use ML methods for generating insights (but do not put working models into production)
## 3074 I do not know
## 3075 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3076 We use ML methods for generating insights (but do not put working models into production)
## 3077 <NA>
## 3078 No (we do not use ML methods)
## 3079 <NA>
## 3080 No (we do not use ML methods)
## 3081 No (we do not use ML methods)
## 3082 I do not know
## 3083 <NA>
## 3084 <NA>
## 3085 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3086 We have well established ML methods (i.e., models in production for more than 2 years)
## 3087 We have well established ML methods (i.e., models in production for more than 2 years)
## 3088 <NA>
## 3089 We are exploring ML methods (and may one day put a model into production)
## 3090 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3091 No (we do not use ML methods)
## 3092 No (we do not use ML methods)
## 3093 We are exploring ML methods (and may one day put a model into production)
## 3094 No (we do not use ML methods)
## 3095 <NA>
## 3096 <NA>
## 3097 We have well established ML methods (i.e., models in production for more than 2 years)
## 3098 We have well established ML methods (i.e., models in production for more than 2 years)
## 3099 <NA>
## 3100 <NA>
## 3101 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3102 We are exploring ML methods (and may one day put a model into production)
## 3103 No (we do not use ML methods)
## 3104 <NA>
## 3105 <NA>
## 3106 We are exploring ML methods (and may one day put a model into production)
## 3107 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3108 We have well established ML methods (i.e., models in production for more than 2 years)
## 3109 I do not know
## 3110 <NA>
## 3111 <NA>
## 3112 I do not know
## 3113 We are exploring ML methods (and may one day put a model into production)
## 3114 No (we do not use ML methods)
## 3115 <NA>
## 3116 <NA>
## 3117 <NA>
## 3118 <NA>
## 3119 I do not know
## 3120 We are exploring ML methods (and may one day put a model into production)
## 3121 No (we do not use ML methods)
## 3122 We have well established ML methods (i.e., models in production for more than 2 years)
## 3123 We have well established ML methods (i.e., models in production for more than 2 years)
## 3124 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3125 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3126 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3127 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3128 We use ML methods for generating insights (but do not put working models into production)
## 3129 We are exploring ML methods (and may one day put a model into production)
## 3130 We use ML methods for generating insights (but do not put working models into production)
## 3131 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3132 No (we do not use ML methods)
## 3133 We have well established ML methods (i.e., models in production for more than 2 years)
## 3134 We have well established ML methods (i.e., models in production for more than 2 years)
## 3135 <NA>
## 3136 We have well established ML methods (i.e., models in production for more than 2 years)
## 3137 No (we do not use ML methods)
## 3138 No (we do not use ML methods)
## 3139 We are exploring ML methods (and may one day put a model into production)
## 3140 <NA>
## 3141 <NA>
## 3142 We are exploring ML methods (and may one day put a model into production)
## 3143 We have well established ML methods (i.e., models in production for more than 2 years)
## 3144 No (we do not use ML methods)
## 3145 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3146 We use ML methods for generating insights (but do not put working models into production)
## 3147 I do not know
## 3148 We have well established ML methods (i.e., models in production for more than 2 years)
## 3149 No (we do not use ML methods)
## 3150 We use ML methods for generating insights (but do not put working models into production)
## 3151 We are exploring ML methods (and may one day put a model into production)
## 3152 No (we do not use ML methods)
## 3153 We have well established ML methods (i.e., models in production for more than 2 years)
## 3154 <NA>
## 3155 We are exploring ML methods (and may one day put a model into production)
## 3156 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3157 We are exploring ML methods (and may one day put a model into production)
## 3158 No (we do not use ML methods)
## 3159 <NA>
## 3160 I do not know
## 3161 <NA>
## 3162 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3163 <NA>
## 3164 We are exploring ML methods (and may one day put a model into production)
## 3165 We are exploring ML methods (and may one day put a model into production)
## 3166 We have well established ML methods (i.e., models in production for more than 2 years)
## 3167 No (we do not use ML methods)
## 3168 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3169 No (we do not use ML methods)
## 3170 We are exploring ML methods (and may one day put a model into production)
## 3171 We use ML methods for generating insights (but do not put working models into production)
## 3172 <NA>
## 3173 <NA>
## 3174 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3175 We are exploring ML methods (and may one day put a model into production)
## 3176 <NA>
## 3177 We are exploring ML methods (and may one day put a model into production)
## 3178 We use ML methods for generating insights (but do not put working models into production)
## 3179 We are exploring ML methods (and may one day put a model into production)
## 3180 We are exploring ML methods (and may one day put a model into production)
## 3181 We are exploring ML methods (and may one day put a model into production)
## 3182 We have well established ML methods (i.e., models in production for more than 2 years)
## 3183 <NA>
## 3184 We are exploring ML methods (and may one day put a model into production)
## 3185 We are exploring ML methods (and may one day put a model into production)
## 3186 We use ML methods for generating insights (but do not put working models into production)
## 3187 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3188 No (we do not use ML methods)
## 3189 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3190 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3191 We have well established ML methods (i.e., models in production for more than 2 years)
## 3192 We use ML methods for generating insights (but do not put working models into production)
## 3193 We are exploring ML methods (and may one day put a model into production)
## 3194 We are exploring ML methods (and may one day put a model into production)
## 3195 We are exploring ML methods (and may one day put a model into production)
## 3196 <NA>
## 3197 We use ML methods for generating insights (but do not put working models into production)
## 3198 We have well established ML methods (i.e., models in production for more than 2 years)
## 3199 <NA>
## 3200 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3201 We have well established ML methods (i.e., models in production for more than 2 years)
## 3202 No (we do not use ML methods)
## 3203 We use ML methods for generating insights (but do not put working models into production)
## 3204 We use ML methods for generating insights (but do not put working models into production)
## 3205 We have well established ML methods (i.e., models in production for more than 2 years)
## 3206 We are exploring ML methods (and may one day put a model into production)
## 3207 <NA>
## 3208 <NA>
## 3209 <NA>
## 3210 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3211 No (we do not use ML methods)
## 3212 <NA>
## 3213 <NA>
## 3214 We are exploring ML methods (and may one day put a model into production)
## 3215 I do not know
## 3216 We have well established ML methods (i.e., models in production for more than 2 years)
## 3217 We are exploring ML methods (and may one day put a model into production)
## 3218 We have well established ML methods (i.e., models in production for more than 2 years)
## 3219 We use ML methods for generating insights (but do not put working models into production)
## 3220 We use ML methods for generating insights (but do not put working models into production)
## 3221 We use ML methods for generating insights (but do not put working models into production)
## 3222 We use ML methods for generating insights (but do not put working models into production)
## 3223 We have well established ML methods (i.e., models in production for more than 2 years)
## 3224 We use ML methods for generating insights (but do not put working models into production)
## 3225 We are exploring ML methods (and may one day put a model into production)
## 3226 No (we do not use ML methods)
## 3227 No (we do not use ML methods)
## 3228 <NA>
## 3229 <NA>
## 3230 <NA>
## 3231 <NA>
## 3232 <NA>
## 3233 <NA>
## 3234 <NA>
## 3235 I do not know
## 3236 <NA>
## 3237 No (we do not use ML methods)
## 3238 We have well established ML methods (i.e., models in production for more than 2 years)
## 3239 <NA>
## 3240 I do not know
## 3241 <NA>
## 3242 <NA>
## 3243 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3244 We have well established ML methods (i.e., models in production for more than 2 years)
## 3245 We have well established ML methods (i.e., models in production for more than 2 years)
## 3246 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3247 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3248 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3249 We have well established ML methods (i.e., models in production for more than 2 years)
## 3250 We have well established ML methods (i.e., models in production for more than 2 years)
## 3251 No (we do not use ML methods)
## 3252 No (we do not use ML methods)
## 3253 <NA>
## 3254 We have well established ML methods (i.e., models in production for more than 2 years)
## 3255 No (we do not use ML methods)
## 3256 We have well established ML methods (i.e., models in production for more than 2 years)
## 3257 No (we do not use ML methods)
## 3258 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3259 <NA>
## 3260 I do not know
## 3261 We are exploring ML methods (and may one day put a model into production)
## 3262 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3263 We have well established ML methods (i.e., models in production for more than 2 years)
## 3264 <NA>
## 3265 <NA>
## 3266 We use ML methods for generating insights (but do not put working models into production)
## 3267 No (we do not use ML methods)
## 3268 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3269 We have well established ML methods (i.e., models in production for more than 2 years)
## 3270 We are exploring ML methods (and may one day put a model into production)
## 3271 No (we do not use ML methods)
## 3272 <NA>
## 3273 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3274 No (we do not use ML methods)
## 3275 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3276 We have well established ML methods (i.e., models in production for more than 2 years)
## 3277 We are exploring ML methods (and may one day put a model into production)
## 3278 No (we do not use ML methods)
## 3279 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3280 We are exploring ML methods (and may one day put a model into production)
## 3281 <NA>
## 3282 No (we do not use ML methods)
## 3283 <NA>
## 3284 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3285 <NA>
## 3286 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3287 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3288 I do not know
## 3289 No (we do not use ML methods)
## 3290 <NA>
## 3291 <NA>
## 3292 I do not know
## 3293 We use ML methods for generating insights (but do not put working models into production)
## 3294 We use ML methods for generating insights (but do not put working models into production)
## 3295 We are exploring ML methods (and may one day put a model into production)
## 3296 We have well established ML methods (i.e., models in production for more than 2 years)
## 3297 <NA>
## 3298 We have well established ML methods (i.e., models in production for more than 2 years)
## 3299 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3300 We are exploring ML methods (and may one day put a model into production)
## 3301 We are exploring ML methods (and may one day put a model into production)
## 3302 We have well established ML methods (i.e., models in production for more than 2 years)
## 3303 We have well established ML methods (i.e., models in production for more than 2 years)
## 3304 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3305 <NA>
## 3306 <NA>
## 3307 No (we do not use ML methods)
## 3308 We have well established ML methods (i.e., models in production for more than 2 years)
## 3309 No (we do not use ML methods)
## 3310 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3311 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3312 No (we do not use ML methods)
## 3313 We have well established ML methods (i.e., models in production for more than 2 years)
## 3314 We are exploring ML methods (and may one day put a model into production)
## 3315 I do not know
## 3316 We use ML methods for generating insights (but do not put working models into production)
## 3317 <NA>
## 3318 We are exploring ML methods (and may one day put a model into production)
## 3319 We use ML methods for generating insights (but do not put working models into production)
## 3320 We are exploring ML methods (and may one day put a model into production)
## 3321 No (we do not use ML methods)
## 3322 <NA>
## 3323 We have well established ML methods (i.e., models in production for more than 2 years)
## 3324 <NA>
## 3325 <NA>
## 3326 We have well established ML methods (i.e., models in production for more than 2 years)
## 3327 We are exploring ML methods (and may one day put a model into production)
## 3328 We have well established ML methods (i.e., models in production for more than 2 years)
## 3329 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3330 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3331 <NA>
## 3332 <NA>
## 3333 We are exploring ML methods (and may one day put a model into production)
## 3334 <NA>
## 3335 <NA>
## 3336 We are exploring ML methods (and may one day put a model into production)
## 3337 <NA>
## 3338 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3339 No (we do not use ML methods)
## 3340 We have well established ML methods (i.e., models in production for more than 2 years)
## 3341 No (we do not use ML methods)
## 3342 <NA>
## 3343 We have well established ML methods (i.e., models in production for more than 2 years)
## 3344 We are exploring ML methods (and may one day put a model into production)
## 3345 <NA>
## 3346 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3347 <NA>
## 3348 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3349 We use ML methods for generating insights (but do not put working models into production)
## 3350 <NA>
## 3351 We have well established ML methods (i.e., models in production for more than 2 years)
## 3352 <NA>
## 3353 We have well established ML methods (i.e., models in production for more than 2 years)
## 3354 We have well established ML methods (i.e., models in production for more than 2 years)
## 3355 No (we do not use ML methods)
## 3356 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3357 We have well established ML methods (i.e., models in production for more than 2 years)
## 3358 I do not know
## 3359 I do not know
## 3360 No (we do not use ML methods)
## 3361 No (we do not use ML methods)
## 3362 <NA>
## 3363 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3364 We are exploring ML methods (and may one day put a model into production)
## 3365 <NA>
## 3366 We have well established ML methods (i.e., models in production for more than 2 years)
## 3367 We use ML methods for generating insights (but do not put working models into production)
## 3368 I do not know
## 3369 <NA>
## 3370 We have well established ML methods (i.e., models in production for more than 2 years)
## 3371 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3372 We are exploring ML methods (and may one day put a model into production)
## 3373 No (we do not use ML methods)
## 3374 I do not know
## 3375 We are exploring ML methods (and may one day put a model into production)
## 3376 We are exploring ML methods (and may one day put a model into production)
## 3377 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3378 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3379 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3380 <NA>
## 3381 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3382 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3383 I do not know
## 3384 <NA>
## 3385 We have well established ML methods (i.e., models in production for more than 2 years)
## 3386 No (we do not use ML methods)
## 3387 We are exploring ML methods (and may one day put a model into production)
## 3388 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3389 We have well established ML methods (i.e., models in production for more than 2 years)
## 3390 <NA>
## 3391 <NA>
## 3392 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3393 We have well established ML methods (i.e., models in production for more than 2 years)
## 3394 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3395 <NA>
## 3396 We are exploring ML methods (and may one day put a model into production)
## 3397 No (we do not use ML methods)
## 3398 <NA>
## 3399 We are exploring ML methods (and may one day put a model into production)
## 3400 No (we do not use ML methods)
## 3401 <NA>
## 3402 We are exploring ML methods (and may one day put a model into production)
## 3403 We are exploring ML methods (and may one day put a model into production)
## 3404 No (we do not use ML methods)
## 3405 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3406 I do not know
## 3407 We have well established ML methods (i.e., models in production for more than 2 years)
## 3408 We are exploring ML methods (and may one day put a model into production)
## 3409 We are exploring ML methods (and may one day put a model into production)
## 3410 We are exploring ML methods (and may one day put a model into production)
## 3411 We have well established ML methods (i.e., models in production for more than 2 years)
## 3412 We have well established ML methods (i.e., models in production for more than 2 years)
## 3413 <NA>
## 3414 <NA>
## 3415 <NA>
## 3416 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3417 We have well established ML methods (i.e., models in production for more than 2 years)
## 3418 We have well established ML methods (i.e., models in production for more than 2 years)
## 3419 We have well established ML methods (i.e., models in production for more than 2 years)
## 3420 <NA>
## 3421 We are exploring ML methods (and may one day put a model into production)
## 3422 We are exploring ML methods (and may one day put a model into production)
## 3423 <NA>
## 3424 We are exploring ML methods (and may one day put a model into production)
## 3425 No (we do not use ML methods)
## 3426 No (we do not use ML methods)
## 3427 We are exploring ML methods (and may one day put a model into production)
## 3428 No (we do not use ML methods)
## 3429 We are exploring ML methods (and may one day put a model into production)
## 3430 We use ML methods for generating insights (but do not put working models into production)
## 3431 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3432 We are exploring ML methods (and may one day put a model into production)
## 3433 No (we do not use ML methods)
## 3434 <NA>
## 3435 We have well established ML methods (i.e., models in production for more than 2 years)
## 3436 <NA>
## 3437 We use ML methods for generating insights (but do not put working models into production)
## 3438 We are exploring ML methods (and may one day put a model into production)
## 3439 We are exploring ML methods (and may one day put a model into production)
## 3440 We have well established ML methods (i.e., models in production for more than 2 years)
## 3441 We have well established ML methods (i.e., models in production for more than 2 years)
## 3442 We are exploring ML methods (and may one day put a model into production)
## 3443 We are exploring ML methods (and may one day put a model into production)
## 3444 <NA>
## 3445 I do not know
## 3446 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3447 I do not know
## 3448 We have well established ML methods (i.e., models in production for more than 2 years)
## 3449 <NA>
## 3450 <NA>
## 3451 I do not know
## 3452 We have well established ML methods (i.e., models in production for more than 2 years)
## 3453 <NA>
## 3454 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3455 <NA>
## 3456 We are exploring ML methods (and may one day put a model into production)
## 3457 No (we do not use ML methods)
## 3458 We use ML methods for generating insights (but do not put working models into production)
## 3459 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3460 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3461 We have well established ML methods (i.e., models in production for more than 2 years)
## 3462 <NA>
## 3463 We are exploring ML methods (and may one day put a model into production)
## 3464 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3465 We have well established ML methods (i.e., models in production for more than 2 years)
## 3466 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3467 We have well established ML methods (i.e., models in production for more than 2 years)
## 3468 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3469 No (we do not use ML methods)
## 3470 <NA>
## 3471 We have well established ML methods (i.e., models in production for more than 2 years)
## 3472 <NA>
## 3473 We have well established ML methods (i.e., models in production for more than 2 years)
## 3474 No (we do not use ML methods)
## 3475 We have well established ML methods (i.e., models in production for more than 2 years)
## 3476 No (we do not use ML methods)
## 3477 We have well established ML methods (i.e., models in production for more than 2 years)
## 3478 <NA>
## 3479 I do not know
## 3480 We use ML methods for generating insights (but do not put working models into production)
## 3481 We use ML methods for generating insights (but do not put working models into production)
## 3482 <NA>
## 3483 <NA>
## 3484 I do not know
## 3485 <NA>
## 3486 We are exploring ML methods (and may one day put a model into production)
## 3487 We have well established ML methods (i.e., models in production for more than 2 years)
## 3488 No (we do not use ML methods)
## 3489 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3490 We are exploring ML methods (and may one day put a model into production)
## 3491 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3492 We have well established ML methods (i.e., models in production for more than 2 years)
## 3493 No (we do not use ML methods)
## 3494 We are exploring ML methods (and may one day put a model into production)
## 3495 No (we do not use ML methods)
## 3496 <NA>
## 3497 We are exploring ML methods (and may one day put a model into production)
## 3498 <NA>
## 3499 We have well established ML methods (i.e., models in production for more than 2 years)
## 3500 We use ML methods for generating insights (but do not put working models into production)
## 3501 No (we do not use ML methods)
## 3502 We use ML methods for generating insights (but do not put working models into production)
## 3503 <NA>
## 3504 <NA>
## 3505 We have well established ML methods (i.e., models in production for more than 2 years)
## 3506 No (we do not use ML methods)
## 3507 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3508 <NA>
## 3509 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3510 No (we do not use ML methods)
## 3511 We have well established ML methods (i.e., models in production for more than 2 years)
## 3512 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3513 No (we do not use ML methods)
## 3514 We use ML methods for generating insights (but do not put working models into production)
## 3515 We have well established ML methods (i.e., models in production for more than 2 years)
## 3516 We use ML methods for generating insights (but do not put working models into production)
## 3517 We use ML methods for generating insights (but do not put working models into production)
## 3518 We use ML methods for generating insights (but do not put working models into production)
## 3519 We have well established ML methods (i.e., models in production for more than 2 years)
## 3520 <NA>
## 3521 We have well established ML methods (i.e., models in production for more than 2 years)
## 3522 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3523 No (we do not use ML methods)
## 3524 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3525 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3526 No (we do not use ML methods)
## 3527 No (we do not use ML methods)
## 3528 We are exploring ML methods (and may one day put a model into production)
## 3529 We use ML methods for generating insights (but do not put working models into production)
## 3530 We are exploring ML methods (and may one day put a model into production)
## 3531 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3532 <NA>
## 3533 We have well established ML methods (i.e., models in production for more than 2 years)
## 3534 We have well established ML methods (i.e., models in production for more than 2 years)
## 3535 We use ML methods for generating insights (but do not put working models into production)
## 3536 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3537 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3538 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3539 <NA>
## 3540 No (we do not use ML methods)
## 3541 We are exploring ML methods (and may one day put a model into production)
## 3542 We use ML methods for generating insights (but do not put working models into production)
## 3543 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3544 We are exploring ML methods (and may one day put a model into production)
## 3545 No (we do not use ML methods)
## 3546 We have well established ML methods (i.e., models in production for more than 2 years)
## 3547 We are exploring ML methods (and may one day put a model into production)
## 3548 We use ML methods for generating insights (but do not put working models into production)
## 3549 <NA>
## 3550 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3551 I do not know
## 3552 No (we do not use ML methods)
## 3553 We use ML methods for generating insights (but do not put working models into production)
## 3554 We use ML methods for generating insights (but do not put working models into production)
## 3555 No (we do not use ML methods)
## 3556 No (we do not use ML methods)
## 3557 <NA>
## 3558 We use ML methods for generating insights (but do not put working models into production)
## 3559 We are exploring ML methods (and may one day put a model into production)
## 3560 <NA>
## 3561 <NA>
## 3562 We are exploring ML methods (and may one day put a model into production)
## 3563 We are exploring ML methods (and may one day put a model into production)
## 3564 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3565 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3566 We have well established ML methods (i.e., models in production for more than 2 years)
## 3567 We are exploring ML methods (and may one day put a model into production)
## 3568 No (we do not use ML methods)
## 3569 <NA>
## 3570 <NA>
## 3571 We have well established ML methods (i.e., models in production for more than 2 years)
## 3572 I do not know
## 3573 We have well established ML methods (i.e., models in production for more than 2 years)
## 3574 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3575 <NA>
## 3576 We use ML methods for generating insights (but do not put working models into production)
## 3577 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3578 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3579 <NA>
## 3580 <NA>
## 3581 We are exploring ML methods (and may one day put a model into production)
## 3582 We are exploring ML methods (and may one day put a model into production)
## 3583 No (we do not use ML methods)
## 3584 No (we do not use ML methods)
## 3585 We use ML methods for generating insights (but do not put working models into production)
## 3586 <NA>
## 3587 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3588 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3589 <NA>
## 3590 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3591 We are exploring ML methods (and may one day put a model into production)
## 3592 <NA>
## 3593 <NA>
## 3594 We are exploring ML methods (and may one day put a model into production)
## 3595 We are exploring ML methods (and may one day put a model into production)
## 3596 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3597 <NA>
## 3598 No (we do not use ML methods)
## 3599 No (we do not use ML methods)
## 3600 We use ML methods for generating insights (but do not put working models into production)
## 3601 <NA>
## 3602 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3603 We have well established ML methods (i.e., models in production for more than 2 years)
## 3604 We are exploring ML methods (and may one day put a model into production)
## 3605 We have well established ML methods (i.e., models in production for more than 2 years)
## 3606 We are exploring ML methods (and may one day put a model into production)
## 3607 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3608 We are exploring ML methods (and may one day put a model into production)
## 3609 <NA>
## 3610 We have well established ML methods (i.e., models in production for more than 2 years)
## 3611 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3612 <NA>
## 3613 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3614 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3615 We use ML methods for generating insights (but do not put working models into production)
## 3616 We are exploring ML methods (and may one day put a model into production)
## 3617 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3618 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3619 <NA>
## 3620 <NA>
## 3621 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3622 No (we do not use ML methods)
## 3623 <NA>
## 3624 We are exploring ML methods (and may one day put a model into production)
## 3625 We have well established ML methods (i.e., models in production for more than 2 years)
## 3626 We use ML methods for generating insights (but do not put working models into production)
## 3627 No (we do not use ML methods)
## 3628 <NA>
## 3629 <NA>
## 3630 <NA>
## 3631 We have well established ML methods (i.e., models in production for more than 2 years)
## 3632 No (we do not use ML methods)
## 3633 We use ML methods for generating insights (but do not put working models into production)
## 3634 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3635 <NA>
## 3636 We are exploring ML methods (and may one day put a model into production)
## 3637 <NA>
## 3638 We are exploring ML methods (and may one day put a model into production)
## 3639 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3640 We have well established ML methods (i.e., models in production for more than 2 years)
## 3641 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3642 We have well established ML methods (i.e., models in production for more than 2 years)
## 3643 No (we do not use ML methods)
## 3644 <NA>
## 3645 We are exploring ML methods (and may one day put a model into production)
## 3646 No (we do not use ML methods)
## 3647 We are exploring ML methods (and may one day put a model into production)
## 3648 We use ML methods for generating insights (but do not put working models into production)
## 3649 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3650 I do not know
## 3651 No (we do not use ML methods)
## 3652 <NA>
## 3653 We use ML methods for generating insights (but do not put working models into production)
## 3654 We are exploring ML methods (and may one day put a model into production)
## 3655 No (we do not use ML methods)
## 3656 We have well established ML methods (i.e., models in production for more than 2 years)
## 3657 We are exploring ML methods (and may one day put a model into production)
## 3658 No (we do not use ML methods)
## 3659 <NA>
## 3660 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3661 No (we do not use ML methods)
## 3662 No (we do not use ML methods)
## 3663 No (we do not use ML methods)
## 3664 We have well established ML methods (i.e., models in production for more than 2 years)
## 3665 <NA>
## 3666 No (we do not use ML methods)
## 3667 No (we do not use ML methods)
## 3668 <NA>
## 3669 <NA>
## 3670 We have well established ML methods (i.e., models in production for more than 2 years)
## 3671 <NA>
## 3672 We use ML methods for generating insights (but do not put working models into production)
## 3673 <NA>
## 3674 We are exploring ML methods (and may one day put a model into production)
## 3675 <NA>
## 3676 <NA>
## 3677 No (we do not use ML methods)
## 3678 We have well established ML methods (i.e., models in production for more than 2 years)
## 3679 No (we do not use ML methods)
## 3680 We are exploring ML methods (and may one day put a model into production)
## 3681 We have well established ML methods (i.e., models in production for more than 2 years)
## 3682 We have well established ML methods (i.e., models in production for more than 2 years)
## 3683 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3684 We are exploring ML methods (and may one day put a model into production)
## 3685 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3686 We are exploring ML methods (and may one day put a model into production)
## 3687 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3688 <NA>
## 3689 We are exploring ML methods (and may one day put a model into production)
## 3690 We have well established ML methods (i.e., models in production for more than 2 years)
## 3691 We are exploring ML methods (and may one day put a model into production)
## 3692 We have well established ML methods (i.e., models in production for more than 2 years)
## 3693 We are exploring ML methods (and may one day put a model into production)
## 3694 <NA>
## 3695 <NA>
## 3696 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3697 We use ML methods for generating insights (but do not put working models into production)
## 3698 No (we do not use ML methods)
## 3699 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3700 We have well established ML methods (i.e., models in production for more than 2 years)
## 3701 No (we do not use ML methods)
## 3702 We are exploring ML methods (and may one day put a model into production)
## 3703 We have well established ML methods (i.e., models in production for more than 2 years)
## 3704 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3705 We have well established ML methods (i.e., models in production for more than 2 years)
## 3706 We have well established ML methods (i.e., models in production for more than 2 years)
## 3707 We have well established ML methods (i.e., models in production for more than 2 years)
## 3708 We have well established ML methods (i.e., models in production for more than 2 years)
## 3709 We use ML methods for generating insights (but do not put working models into production)
## 3710 We are exploring ML methods (and may one day put a model into production)
## 3711 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3712 No (we do not use ML methods)
## 3713 <NA>
## 3714 <NA>
## 3715 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3716 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3717 We use ML methods for generating insights (but do not put working models into production)
## 3718 We have well established ML methods (i.e., models in production for more than 2 years)
## 3719 We use ML methods for generating insights (but do not put working models into production)
## 3720 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3721 We have well established ML methods (i.e., models in production for more than 2 years)
## 3722 <NA>
## 3723 We have well established ML methods (i.e., models in production for more than 2 years)
## 3724 No (we do not use ML methods)
## 3725 We have well established ML methods (i.e., models in production for more than 2 years)
## 3726 <NA>
## 3727 <NA>
## 3728 <NA>
## 3729 No (we do not use ML methods)
## 3730 We use ML methods for generating insights (but do not put working models into production)
## 3731 <NA>
## 3732 We have well established ML methods (i.e., models in production for more than 2 years)
## 3733 We have well established ML methods (i.e., models in production for more than 2 years)
## 3734 We are exploring ML methods (and may one day put a model into production)
## 3735 <NA>
## 3736 We are exploring ML methods (and may one day put a model into production)
## 3737 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3738 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3739 <NA>
## 3740 We have well established ML methods (i.e., models in production for more than 2 years)
## 3741 <NA>
## 3742 I do not know
## 3743 No (we do not use ML methods)
## 3744 We use ML methods for generating insights (but do not put working models into production)
## 3745 We have well established ML methods (i.e., models in production for more than 2 years)
## 3746 We are exploring ML methods (and may one day put a model into production)
## 3747 No (we do not use ML methods)
## 3748 We have well established ML methods (i.e., models in production for more than 2 years)
## 3749 No (we do not use ML methods)
## 3750 We are exploring ML methods (and may one day put a model into production)
## 3751 We are exploring ML methods (and may one day put a model into production)
## 3752 We are exploring ML methods (and may one day put a model into production)
## 3753 We are exploring ML methods (and may one day put a model into production)
## 3754 We have well established ML methods (i.e., models in production for more than 2 years)
## 3755 We are exploring ML methods (and may one day put a model into production)
## 3756 No (we do not use ML methods)
## 3757 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3758 We use ML methods for generating insights (but do not put working models into production)
## 3759 <NA>
## 3760 We use ML methods for generating insights (but do not put working models into production)
## 3761 We have well established ML methods (i.e., models in production for more than 2 years)
## 3762 No (we do not use ML methods)
## 3763 We are exploring ML methods (and may one day put a model into production)
## 3764 We use ML methods for generating insights (but do not put working models into production)
## 3765 <NA>
## 3766 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3767 I do not know
## 3768 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3769 <NA>
## 3770 No (we do not use ML methods)
## 3771 I do not know
## 3772 We are exploring ML methods (and may one day put a model into production)
## 3773 We use ML methods for generating insights (but do not put working models into production)
## 3774 We use ML methods for generating insights (but do not put working models into production)
## 3775 We have well established ML methods (i.e., models in production for more than 2 years)
## 3776 No (we do not use ML methods)
## 3777 I do not know
## 3778 We are exploring ML methods (and may one day put a model into production)
## 3779 We have well established ML methods (i.e., models in production for more than 2 years)
## 3780 No (we do not use ML methods)
## 3781 We are exploring ML methods (and may one day put a model into production)
## 3782 No (we do not use ML methods)
## 3783 No (we do not use ML methods)
## 3784 We use ML methods for generating insights (but do not put working models into production)
## 3785 <NA>
## 3786 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3787 We have well established ML methods (i.e., models in production for more than 2 years)
## 3788 We have well established ML methods (i.e., models in production for more than 2 years)
## 3789 No (we do not use ML methods)
## 3790 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3791 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3792 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3793 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3794 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3795 We are exploring ML methods (and may one day put a model into production)
## 3796 <NA>
## 3797 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3798 We are exploring ML methods (and may one day put a model into production)
## 3799 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3800 No (we do not use ML methods)
## 3801 We have well established ML methods (i.e., models in production for more than 2 years)
## 3802 I do not know
## 3803 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3804 No (we do not use ML methods)
## 3805 We are exploring ML methods (and may one day put a model into production)
## 3806 We have well established ML methods (i.e., models in production for more than 2 years)
## 3807 No (we do not use ML methods)
## 3808 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3809 We are exploring ML methods (and may one day put a model into production)
## 3810 We are exploring ML methods (and may one day put a model into production)
## 3811 We use ML methods for generating insights (but do not put working models into production)
## 3812 <NA>
## 3813 We use ML methods for generating insights (but do not put working models into production)
## 3814 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3815 No (we do not use ML methods)
## 3816 We use ML methods for generating insights (but do not put working models into production)
## 3817 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3818 <NA>
## 3819 We have well established ML methods (i.e., models in production for more than 2 years)
## 3820 <NA>
## 3821 We use ML methods for generating insights (but do not put working models into production)
## 3822 No (we do not use ML methods)
## 3823 We have well established ML methods (i.e., models in production for more than 2 years)
## 3824 We are exploring ML methods (and may one day put a model into production)
## 3825 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3826 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3827 No (we do not use ML methods)
## 3828 We have well established ML methods (i.e., models in production for more than 2 years)
## 3829 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3830 <NA>
## 3831 We have well established ML methods (i.e., models in production for more than 2 years)
## 3832 I do not know
## 3833 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3834 <NA>
## 3835 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3836 <NA>
## 3837 No (we do not use ML methods)
## 3838 We are exploring ML methods (and may one day put a model into production)
## 3839 We use ML methods for generating insights (but do not put working models into production)
## 3840 I do not know
## 3841 We are exploring ML methods (and may one day put a model into production)
## 3842 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3843 <NA>
## 3844 We use ML methods for generating insights (but do not put working models into production)
## 3845 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3846 <NA>
## 3847 We have well established ML methods (i.e., models in production for more than 2 years)
## 3848 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3849 We are exploring ML methods (and may one day put a model into production)
## 3850 <NA>
## 3851 We have well established ML methods (i.e., models in production for more than 2 years)
## 3852 We have well established ML methods (i.e., models in production for more than 2 years)
## 3853 I do not know
## 3854 We use ML methods for generating insights (but do not put working models into production)
## 3855 <NA>
## 3856 We have well established ML methods (i.e., models in production for more than 2 years)
## 3857 We use ML methods for generating insights (but do not put working models into production)
## 3858 I do not know
## 3859 I do not know
## 3860 We have well established ML methods (i.e., models in production for more than 2 years)
## 3861 No (we do not use ML methods)
## 3862 We use ML methods for generating insights (but do not put working models into production)
## 3863 <NA>
## 3864 We are exploring ML methods (and may one day put a model into production)
## 3865 We have well established ML methods (i.e., models in production for more than 2 years)
## 3866 I do not know
## 3867 No (we do not use ML methods)
## 3868 We are exploring ML methods (and may one day put a model into production)
## 3869 <NA>
## 3870 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3871 <NA>
## 3872 <NA>
## 3873 We use ML methods for generating insights (but do not put working models into production)
## 3874 We have well established ML methods (i.e., models in production for more than 2 years)
## 3875 We use ML methods for generating insights (but do not put working models into production)
## 3876 We have well established ML methods (i.e., models in production for more than 2 years)
## 3877 <NA>
## 3878 We have well established ML methods (i.e., models in production for more than 2 years)
## 3879 <NA>
## 3880 <NA>
## 3881 We are exploring ML methods (and may one day put a model into production)
## 3882 We have well established ML methods (i.e., models in production for more than 2 years)
## 3883 <NA>
## 3884 We are exploring ML methods (and may one day put a model into production)
## 3885 We use ML methods for generating insights (but do not put working models into production)
## 3886 We are exploring ML methods (and may one day put a model into production)
## 3887 <NA>
## 3888 No (we do not use ML methods)
## 3889 We are exploring ML methods (and may one day put a model into production)
## 3890 <NA>
## 3891 We have well established ML methods (i.e., models in production for more than 2 years)
## 3892 We have well established ML methods (i.e., models in production for more than 2 years)
## 3893 We are exploring ML methods (and may one day put a model into production)
## 3894 We use ML methods for generating insights (but do not put working models into production)
## 3895 <NA>
## 3896 No (we do not use ML methods)
## 3897 We are exploring ML methods (and may one day put a model into production)
## 3898 <NA>
## 3899 We have well established ML methods (i.e., models in production for more than 2 years)
## 3900 No (we do not use ML methods)
## 3901 We are exploring ML methods (and may one day put a model into production)
## 3902 <NA>
## 3903 <NA>
## 3904 We have well established ML methods (i.e., models in production for more than 2 years)
## 3905 We are exploring ML methods (and may one day put a model into production)
## 3906 <NA>
## 3907 We are exploring ML methods (and may one day put a model into production)
## 3908 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3909 We use ML methods for generating insights (but do not put working models into production)
## 3910 We are exploring ML methods (and may one day put a model into production)
## 3911 No (we do not use ML methods)
## 3912 We use ML methods for generating insights (but do not put working models into production)
## 3913 We use ML methods for generating insights (but do not put working models into production)
## 3914 We are exploring ML methods (and may one day put a model into production)
## 3915 We are exploring ML methods (and may one day put a model into production)
## 3916 We have well established ML methods (i.e., models in production for more than 2 years)
## 3917 We have well established ML methods (i.e., models in production for more than 2 years)
## 3918 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3919 No (we do not use ML methods)
## 3920 We are exploring ML methods (and may one day put a model into production)
## 3921 We are exploring ML methods (and may one day put a model into production)
## 3922 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3923 No (we do not use ML methods)
## 3924 No (we do not use ML methods)
## 3925 We have well established ML methods (i.e., models in production for more than 2 years)
## 3926 No (we do not use ML methods)
## 3927 No (we do not use ML methods)
## 3928 No (we do not use ML methods)
## 3929 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3930 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3931 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3932 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3933 We use ML methods for generating insights (but do not put working models into production)
## 3934 We are exploring ML methods (and may one day put a model into production)
## 3935 We are exploring ML methods (and may one day put a model into production)
## 3936 No (we do not use ML methods)
## 3937 <NA>
## 3938 We have well established ML methods (i.e., models in production for more than 2 years)
## 3939 We are exploring ML methods (and may one day put a model into production)
## 3940 No (we do not use ML methods)
## 3941 We have well established ML methods (i.e., models in production for more than 2 years)
## 3942 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3943 <NA>
## 3944 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3945 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3946 No (we do not use ML methods)
## 3947 We are exploring ML methods (and may one day put a model into production)
## 3948 We are exploring ML methods (and may one day put a model into production)
## 3949 We have well established ML methods (i.e., models in production for more than 2 years)
## 3950 <NA>
## 3951 <NA>
## 3952 No (we do not use ML methods)
## 3953 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3954 We use ML methods for generating insights (but do not put working models into production)
## 3955 <NA>
## 3956 We are exploring ML methods (and may one day put a model into production)
## 3957 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3958 <NA>
## 3959 We use ML methods for generating insights (but do not put working models into production)
## 3960 No (we do not use ML methods)
## 3961 I do not know
## 3962 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3963 No (we do not use ML methods)
## 3964 <NA>
## 3965 We use ML methods for generating insights (but do not put working models into production)
## 3966 We use ML methods for generating insights (but do not put working models into production)
## 3967 We are exploring ML methods (and may one day put a model into production)
## 3968 <NA>
## 3969 I do not know
## 3970 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3971 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3972 We are exploring ML methods (and may one day put a model into production)
## 3973 We have well established ML methods (i.e., models in production for more than 2 years)
## 3974 We have well established ML methods (i.e., models in production for more than 2 years)
## 3975 We are exploring ML methods (and may one day put a model into production)
## 3976 I do not know
## 3977 We are exploring ML methods (and may one day put a model into production)
## 3978 We have well established ML methods (i.e., models in production for more than 2 years)
## 3979 We are exploring ML methods (and may one day put a model into production)
## 3980 No (we do not use ML methods)
## 3981 We are exploring ML methods (and may one day put a model into production)
## 3982 We are exploring ML methods (and may one day put a model into production)
## 3983 We are exploring ML methods (and may one day put a model into production)
## 3984 <NA>
## 3985 No (we do not use ML methods)
## 3986 <NA>
## 3987 We use ML methods for generating insights (but do not put working models into production)
## 3988 <NA>
## 3989 We use ML methods for generating insights (but do not put working models into production)
## 3990 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3991 We have well established ML methods (i.e., models in production for more than 2 years)
## 3992 We are exploring ML methods (and may one day put a model into production)
## 3993 We use ML methods for generating insights (but do not put working models into production)
## 3994 We use ML methods for generating insights (but do not put working models into production)
## 3995 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3996 No (we do not use ML methods)
## 3997 <NA>
## 3998 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3999 I do not know
## 4000 We have well established ML methods (i.e., models in production for more than 2 years)
## 4001 We use ML methods for generating insights (but do not put working models into production)
## 4002 No (we do not use ML methods)
## 4003 We use ML methods for generating insights (but do not put working models into production)
## 4004 We use ML methods for generating insights (but do not put working models into production)
## 4005 We have well established ML methods (i.e., models in production for more than 2 years)
## 4006 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4007 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4008 We are exploring ML methods (and may one day put a model into production)
## 4009 I do not know
## 4010 <NA>
## 4011 <NA>
## 4012 <NA>
## 4013 <NA>
## 4014 No (we do not use ML methods)
## 4015 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4016 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4017 We have well established ML methods (i.e., models in production for more than 2 years)
## 4018 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4019 <NA>
## 4020 We have well established ML methods (i.e., models in production for more than 2 years)
## 4021 We have well established ML methods (i.e., models in production for more than 2 years)
## 4022 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4023 We are exploring ML methods (and may one day put a model into production)
## 4024 We have well established ML methods (i.e., models in production for more than 2 years)
## 4025 We have well established ML methods (i.e., models in production for more than 2 years)
## 4026 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4027 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4028 No (we do not use ML methods)
## 4029 We use ML methods for generating insights (but do not put working models into production)
## 4030 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4031 We use ML methods for generating insights (but do not put working models into production)
## 4032 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4033 I do not know
## 4034 No (we do not use ML methods)
## 4035 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4036 We use ML methods for generating insights (but do not put working models into production)
## 4037 No (we do not use ML methods)
## 4038 <NA>
## 4039 We have well established ML methods (i.e., models in production for more than 2 years)
## 4040 We are exploring ML methods (and may one day put a model into production)
## 4041 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4042 We have well established ML methods (i.e., models in production for more than 2 years)
## 4043 We have well established ML methods (i.e., models in production for more than 2 years)
## 4044 <NA>
## 4045 <NA>
## 4046 I do not know
## 4047 We use ML methods for generating insights (but do not put working models into production)
## 4048 <NA>
## 4049 <NA>
## 4050 We use ML methods for generating insights (but do not put working models into production)
## 4051 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4052 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4053 No (we do not use ML methods)
## 4054 We have well established ML methods (i.e., models in production for more than 2 years)
## 4055 We use ML methods for generating insights (but do not put working models into production)
## 4056 No (we do not use ML methods)
## 4057 No (we do not use ML methods)
## 4058 We have well established ML methods (i.e., models in production for more than 2 years)
## 4059 I do not know
## 4060 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4061 We are exploring ML methods (and may one day put a model into production)
## 4062 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4063 We are exploring ML methods (and may one day put a model into production)
## 4064 No (we do not use ML methods)
## 4065 <NA>
## 4066 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4067 We are exploring ML methods (and may one day put a model into production)
## 4068 No (we do not use ML methods)
## 4069 We are exploring ML methods (and may one day put a model into production)
## 4070 No (we do not use ML methods)
## 4071 <NA>
## 4072 We have well established ML methods (i.e., models in production for more than 2 years)
## 4073 We are exploring ML methods (and may one day put a model into production)
## 4074 We use ML methods for generating insights (but do not put working models into production)
## 4075 <NA>
## 4076 I do not know
## 4077 We use ML methods for generating insights (but do not put working models into production)
## 4078 No (we do not use ML methods)
## 4079 We use ML methods for generating insights (but do not put working models into production)
## 4080 No (we do not use ML methods)
## 4081 I do not know
## 4082 <NA>
## 4083 <NA>
## 4084 We are exploring ML methods (and may one day put a model into production)
## 4085 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4086 We are exploring ML methods (and may one day put a model into production)
## 4087 We are exploring ML methods (and may one day put a model into production)
## 4088 I do not know
## 4089 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4090 We are exploring ML methods (and may one day put a model into production)
## 4091 We have well established ML methods (i.e., models in production for more than 2 years)
## 4092 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4093 <NA>
## 4094 I do not know
## 4095 <NA>
## 4096 We have well established ML methods (i.e., models in production for more than 2 years)
## 4097 <NA>
## 4098 We have well established ML methods (i.e., models in production for more than 2 years)
## 4099 I do not know
## 4100 We are exploring ML methods (and may one day put a model into production)
## 4101 We have well established ML methods (i.e., models in production for more than 2 years)
## 4102 <NA>
## 4103 No (we do not use ML methods)
## 4104 We use ML methods for generating insights (but do not put working models into production)
## 4105 <NA>
## 4106 <NA>
## 4107 I do not know
## 4108 We are exploring ML methods (and may one day put a model into production)
## 4109 <NA>
## 4110 We have well established ML methods (i.e., models in production for more than 2 years)
## 4111 I do not know
## 4112 We are exploring ML methods (and may one day put a model into production)
## 4113 We are exploring ML methods (and may one day put a model into production)
## 4114 We have well established ML methods (i.e., models in production for more than 2 years)
## 4115 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4116 We are exploring ML methods (and may one day put a model into production)
## 4117 We have well established ML methods (i.e., models in production for more than 2 years)
## 4118 We have well established ML methods (i.e., models in production for more than 2 years)
## 4119 I do not know
## 4120 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4121 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4122 We are exploring ML methods (and may one day put a model into production)
## 4123 No (we do not use ML methods)
## 4124 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4125 <NA>
## 4126 No (we do not use ML methods)
## 4127 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4128 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4129 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4130 <NA>
## 4131 <NA>
## 4132 <NA>
## 4133 <NA>
## 4134 No (we do not use ML methods)
## 4135 We use ML methods for generating insights (but do not put working models into production)
## 4136 No (we do not use ML methods)
## 4137 <NA>
## 4138 We use ML methods for generating insights (but do not put working models into production)
## 4139 We are exploring ML methods (and may one day put a model into production)
## 4140 We use ML methods for generating insights (but do not put working models into production)
## 4141 <NA>
## 4142 <NA>
## 4143 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4144 <NA>
## 4145 <NA>
## 4146 We are exploring ML methods (and may one day put a model into production)
## 4147 No (we do not use ML methods)
## 4148 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4149 <NA>
## 4150 <NA>
## 4151 <NA>
## 4152 <NA>
## 4153 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4154 <NA>
## 4155 No (we do not use ML methods)
## 4156 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4157 <NA>
## 4158 We are exploring ML methods (and may one day put a model into production)
## 4159 <NA>
## 4160 We are exploring ML methods (and may one day put a model into production)
## 4161 <NA>
## 4162 No (we do not use ML methods)
## 4163 <NA>
## 4164 I do not know
## 4165 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4166 We have well established ML methods (i.e., models in production for more than 2 years)
## 4167 We have well established ML methods (i.e., models in production for more than 2 years)
## 4168 We are exploring ML methods (and may one day put a model into production)
## 4169 <NA>
## 4170 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4171 No (we do not use ML methods)
## 4172 No (we do not use ML methods)
## 4173 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4174 We use ML methods for generating insights (but do not put working models into production)
## 4175 We are exploring ML methods (and may one day put a model into production)
## 4176 We are exploring ML methods (and may one day put a model into production)
## 4177 We have well established ML methods (i.e., models in production for more than 2 years)
## 4178 <NA>
## 4179 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4180 No (we do not use ML methods)
## 4181 I do not know
## 4182 No (we do not use ML methods)
## 4183 We are exploring ML methods (and may one day put a model into production)
## 4184 <NA>
## 4185 No (we do not use ML methods)
## 4186 We use ML methods for generating insights (but do not put working models into production)
## 4187 We have well established ML methods (i.e., models in production for more than 2 years)
## 4188 <NA>
## 4189 We are exploring ML methods (and may one day put a model into production)
## 4190 We have well established ML methods (i.e., models in production for more than 2 years)
## 4191 I do not know
## 4192 No (we do not use ML methods)
## 4193 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4194 I do not know
## 4195 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4196 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4197 No (we do not use ML methods)
## 4198 No (we do not use ML methods)
## 4199 We have well established ML methods (i.e., models in production for more than 2 years)
## 4200 <NA>
## 4201 We use ML methods for generating insights (but do not put working models into production)
## 4202 We are exploring ML methods (and may one day put a model into production)
## 4203 <NA>
## 4204 <NA>
## 4205 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4206 <NA>
## 4207 <NA>
## 4208 No (we do not use ML methods)
## 4209 We use ML methods for generating insights (but do not put working models into production)
## 4210 We use ML methods for generating insights (but do not put working models into production)
## 4211 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4212 We are exploring ML methods (and may one day put a model into production)
## 4213 We are exploring ML methods (and may one day put a model into production)
## 4214 We have well established ML methods (i.e., models in production for more than 2 years)
## 4215 No (we do not use ML methods)
## 4216 I do not know
## 4217 <NA>
## 4218 We have well established ML methods (i.e., models in production for more than 2 years)
## 4219 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4220 We are exploring ML methods (and may one day put a model into production)
## 4221 We have well established ML methods (i.e., models in production for more than 2 years)
## 4222 No (we do not use ML methods)
## 4223 We are exploring ML methods (and may one day put a model into production)
## 4224 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4225 We are exploring ML methods (and may one day put a model into production)
## 4226 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4227 <NA>
## 4228 <NA>
## 4229 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4230 I do not know
## 4231 We use ML methods for generating insights (but do not put working models into production)
## 4232 We have well established ML methods (i.e., models in production for more than 2 years)
## 4233 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4234 <NA>
## 4235 We have well established ML methods (i.e., models in production for more than 2 years)
## 4236 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4237 I do not know
## 4238 <NA>
## 4239 <NA>
## 4240 We use ML methods for generating insights (but do not put working models into production)
## 4241 We are exploring ML methods (and may one day put a model into production)
## 4242 <NA>
## 4243 We have well established ML methods (i.e., models in production for more than 2 years)
## 4244 We use ML methods for generating insights (but do not put working models into production)
## 4245 No (we do not use ML methods)
## 4246 We have well established ML methods (i.e., models in production for more than 2 years)
## 4247 We are exploring ML methods (and may one day put a model into production)
## 4248 I do not know
## 4249 We use ML methods for generating insights (but do not put working models into production)
## 4250 <NA>
## 4251 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4252 We are exploring ML methods (and may one day put a model into production)
## 4253 We have well established ML methods (i.e., models in production for more than 2 years)
## 4254 I do not know
## 4255 <NA>
## 4256 No (we do not use ML methods)
## 4257 No (we do not use ML methods)
## 4258 We use ML methods for generating insights (but do not put working models into production)
## 4259 We are exploring ML methods (and may one day put a model into production)
## 4260 We have well established ML methods (i.e., models in production for more than 2 years)
## 4261 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4262 No (we do not use ML methods)
## 4263 <NA>
## 4264 We are exploring ML methods (and may one day put a model into production)
## 4265 We use ML methods for generating insights (but do not put working models into production)
## 4266 We are exploring ML methods (and may one day put a model into production)
## 4267 I do not know
## 4268 No (we do not use ML methods)
## 4269 <NA>
## 4270 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4271 I do not know
## 4272 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4273 <NA>
## 4274 <NA>
## 4275 <NA>
## 4276 <NA>
## 4277 We are exploring ML methods (and may one day put a model into production)
## 4278 <NA>
## 4279 <NA>
## 4280 I do not know
## 4281 <NA>
## 4282 No (we do not use ML methods)
## 4283 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4284 No (we do not use ML methods)
## 4285 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4286 We are exploring ML methods (and may one day put a model into production)
## 4287 We have well established ML methods (i.e., models in production for more than 2 years)
## 4288 We are exploring ML methods (and may one day put a model into production)
## 4289 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4290 We have well established ML methods (i.e., models in production for more than 2 years)
## 4291 No (we do not use ML methods)
## 4292 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4293 We are exploring ML methods (and may one day put a model into production)
## 4294 No (we do not use ML methods)
## 4295 <NA>
## 4296 <NA>
## 4297 No (we do not use ML methods)
## 4298 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4299 We use ML methods for generating insights (but do not put working models into production)
## 4300 We are exploring ML methods (and may one day put a model into production)
## 4301 We are exploring ML methods (and may one day put a model into production)
## 4302 <NA>
## 4303 <NA>
## 4304 We are exploring ML methods (and may one day put a model into production)
## 4305 No (we do not use ML methods)
## 4306 We are exploring ML methods (and may one day put a model into production)
## 4307 We are exploring ML methods (and may one day put a model into production)
## 4308 We use ML methods for generating insights (but do not put working models into production)
## 4309 I do not know
## 4310 <NA>
## 4311 <NA>
## 4312 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4313 We are exploring ML methods (and may one day put a model into production)
## 4314 We have well established ML methods (i.e., models in production for more than 2 years)
## 4315 <NA>
## 4316 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4317 <NA>
## 4318 No (we do not use ML methods)
## 4319 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4320 We have well established ML methods (i.e., models in production for more than 2 years)
## 4321 No (we do not use ML methods)
## 4322 No (we do not use ML methods)
## 4323 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4324 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4325 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4326 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4327 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4328 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4329 No (we do not use ML methods)
## 4330 We are exploring ML methods (and may one day put a model into production)
## 4331 No (we do not use ML methods)
## 4332 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4333 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4334 <NA>
## 4335 No (we do not use ML methods)
## 4336 No (we do not use ML methods)
## 4337 We are exploring ML methods (and may one day put a model into production)
## 4338 We use ML methods for generating insights (but do not put working models into production)
## 4339 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4340 No (we do not use ML methods)
## 4341 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4342 We use ML methods for generating insights (but do not put working models into production)
## 4343 I do not know
## 4344 No (we do not use ML methods)
## 4345 <NA>
## 4346 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4347 We use ML methods for generating insights (but do not put working models into production)
## 4348 We are exploring ML methods (and may one day put a model into production)
## 4349 We have well established ML methods (i.e., models in production for more than 2 years)
## 4350 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4351 No (we do not use ML methods)
## 4352 No (we do not use ML methods)
## 4353 <NA>
## 4354 No (we do not use ML methods)
## 4355 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4356 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4357 No (we do not use ML methods)
## 4358 No (we do not use ML methods)
## 4359 We have well established ML methods (i.e., models in production for more than 2 years)
## 4360 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4361 We have well established ML methods (i.e., models in production for more than 2 years)
## 4362 No (we do not use ML methods)
## 4363 We have well established ML methods (i.e., models in production for more than 2 years)
## 4364 We are exploring ML methods (and may one day put a model into production)
## 4365 No (we do not use ML methods)
## 4366 <NA>
## 4367 We are exploring ML methods (and may one day put a model into production)
## 4368 <NA>
## 4369 I do not know
## 4370 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4371 No (we do not use ML methods)
## 4372 We have well established ML methods (i.e., models in production for more than 2 years)
## 4373 We have well established ML methods (i.e., models in production for more than 2 years)
## 4374 No (we do not use ML methods)
## 4375 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4376 I do not know
## 4377 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4378 We use ML methods for generating insights (but do not put working models into production)
## 4379 No (we do not use ML methods)
## 4380 We are exploring ML methods (and may one day put a model into production)
## 4381 No (we do not use ML methods)
## 4382 No (we do not use ML methods)
## 4383 We are exploring ML methods (and may one day put a model into production)
## 4384 <NA>
## 4385 We have well established ML methods (i.e., models in production for more than 2 years)
## 4386 No (we do not use ML methods)
## 4387 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4388 We are exploring ML methods (and may one day put a model into production)
## 4389 <NA>
## 4390 We have well established ML methods (i.e., models in production for more than 2 years)
## 4391 <NA>
## 4392 No (we do not use ML methods)
## 4393 <NA>
## 4394 No (we do not use ML methods)
## 4395 We have well established ML methods (i.e., models in production for more than 2 years)
## 4396 <NA>
## 4397 I do not know
## 4398 <NA>
## 4399 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4400 <NA>
## 4401 <NA>
## 4402 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4403 <NA>
## 4404 We are exploring ML methods (and may one day put a model into production)
## 4405 We are exploring ML methods (and may one day put a model into production)
## 4406 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4407 We have well established ML methods (i.e., models in production for more than 2 years)
## 4408 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4409 <NA>
## 4410 <NA>
## 4411 We have well established ML methods (i.e., models in production for more than 2 years)
## 4412 We use ML methods for generating insights (but do not put working models into production)
## 4413 We have well established ML methods (i.e., models in production for more than 2 years)
## 4414 No (we do not use ML methods)
## 4415 <NA>
## 4416 We are exploring ML methods (and may one day put a model into production)
## 4417 We have well established ML methods (i.e., models in production for more than 2 years)
## 4418 We are exploring ML methods (and may one day put a model into production)
## 4419 We are exploring ML methods (and may one day put a model into production)
## 4420 <NA>
## 4421 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4422 No (we do not use ML methods)
## 4423 We are exploring ML methods (and may one day put a model into production)
## 4424 <NA>
## 4425 No (we do not use ML methods)
## 4426 <NA>
## 4427 <NA>
## 4428 No (we do not use ML methods)
## 4429 We have well established ML methods (i.e., models in production for more than 2 years)
## 4430 We are exploring ML methods (and may one day put a model into production)
## 4431 I do not know
## 4432 <NA>
## 4433 <NA>
## 4434 We are exploring ML methods (and may one day put a model into production)
## 4435 <NA>
## 4436 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4437 We are exploring ML methods (and may one day put a model into production)
## 4438 We are exploring ML methods (and may one day put a model into production)
## 4439 We have well established ML methods (i.e., models in production for more than 2 years)
## 4440 We are exploring ML methods (and may one day put a model into production)
## 4441 We have well established ML methods (i.e., models in production for more than 2 years)
## 4442 <NA>
## 4443 We are exploring ML methods (and may one day put a model into production)
## 4444 <NA>
## 4445 We are exploring ML methods (and may one day put a model into production)
## 4446 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4447 We are exploring ML methods (and may one day put a model into production)
## 4448 I do not know
## 4449 <NA>
## 4450 We use ML methods for generating insights (but do not put working models into production)
## 4451 No (we do not use ML methods)
## 4452 We use ML methods for generating insights (but do not put working models into production)
## 4453 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4454 No (we do not use ML methods)
## 4455 We are exploring ML methods (and may one day put a model into production)
## 4456 We have well established ML methods (i.e., models in production for more than 2 years)
## 4457 We have well established ML methods (i.e., models in production for more than 2 years)
## 4458 We are exploring ML methods (and may one day put a model into production)
## 4459 We are exploring ML methods (and may one day put a model into production)
## 4460 No (we do not use ML methods)
## 4461 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4462 We are exploring ML methods (and may one day put a model into production)
## 4463 I do not know
## 4464 No (we do not use ML methods)
## 4465 We have well established ML methods (i.e., models in production for more than 2 years)
## 4466 We are exploring ML methods (and may one day put a model into production)
## 4467 No (we do not use ML methods)
## 4468 <NA>
## 4469 We are exploring ML methods (and may one day put a model into production)
## 4470 No (we do not use ML methods)
## 4471 We use ML methods for generating insights (but do not put working models into production)
## 4472 We use ML methods for generating insights (but do not put working models into production)
## 4473 <NA>
## 4474 We have well established ML methods (i.e., models in production for more than 2 years)
## 4475 <NA>
## 4476 We use ML methods for generating insights (but do not put working models into production)
## 4477 We are exploring ML methods (and may one day put a model into production)
## 4478 We are exploring ML methods (and may one day put a model into production)
## 4479 No (we do not use ML methods)
## 4480 We have well established ML methods (i.e., models in production for more than 2 years)
## 4481 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4482 I do not know
## 4483 We are exploring ML methods (and may one day put a model into production)
## 4484 We are exploring ML methods (and may one day put a model into production)
## 4485 No (we do not use ML methods)
## 4486 We have well established ML methods (i.e., models in production for more than 2 years)
## 4487 <NA>
## 4488 We are exploring ML methods (and may one day put a model into production)
## 4489 I do not know
## 4490 We use ML methods for generating insights (but do not put working models into production)
## 4491 I do not know
## 4492 <NA>
## 4493 We have well established ML methods (i.e., models in production for more than 2 years)
## 4494 No (we do not use ML methods)
## 4495 We are exploring ML methods (and may one day put a model into production)
## 4496 <NA>
## 4497 We use ML methods for generating insights (but do not put working models into production)
## 4498 <NA>
## 4499 I do not know
## 4500 We use ML methods for generating insights (but do not put working models into production)
## 4501 We have well established ML methods (i.e., models in production for more than 2 years)
## 4502 We have well established ML methods (i.e., models in production for more than 2 years)
## 4503 We are exploring ML methods (and may one day put a model into production)
## 4504 We are exploring ML methods (and may one day put a model into production)
## 4505 <NA>
## 4506 I do not know
## 4507 No (we do not use ML methods)
## 4508 We use ML methods for generating insights (but do not put working models into production)
## 4509 We have well established ML methods (i.e., models in production for more than 2 years)
## 4510 <NA>
## 4511 <NA>
## 4512 We have well established ML methods (i.e., models in production for more than 2 years)
## 4513 We are exploring ML methods (and may one day put a model into production)
## 4514 <NA>
## 4515 We are exploring ML methods (and may one day put a model into production)
## 4516 We have well established ML methods (i.e., models in production for more than 2 years)
## 4517 We use ML methods for generating insights (but do not put working models into production)
## 4518 I do not know
## 4519 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4520 We use ML methods for generating insights (but do not put working models into production)
## 4521 No (we do not use ML methods)
## 4522 We are exploring ML methods (and may one day put a model into production)
## 4523 <NA>
## 4524 No (we do not use ML methods)
## 4525 I do not know
## 4526 We have well established ML methods (i.e., models in production for more than 2 years)
## 4527 We have well established ML methods (i.e., models in production for more than 2 years)
## 4528 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4529 No (we do not use ML methods)
## 4530 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4531 We use ML methods for generating insights (but do not put working models into production)
## 4532 We are exploring ML methods (and may one day put a model into production)
## 4533 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4534 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4535 <NA>
## 4536 No (we do not use ML methods)
## 4537 We have well established ML methods (i.e., models in production for more than 2 years)
## 4538 We have well established ML methods (i.e., models in production for more than 2 years)
## 4539 We have well established ML methods (i.e., models in production for more than 2 years)
## 4540 No (we do not use ML methods)
## 4541 No (we do not use ML methods)
## 4542 We are exploring ML methods (and may one day put a model into production)
## 4543 No (we do not use ML methods)
## 4544 <NA>
## 4545 We use ML methods for generating insights (but do not put working models into production)
## 4546 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4547 We have well established ML methods (i.e., models in production for more than 2 years)
## 4548 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4549 No (we do not use ML methods)
## 4550 <NA>
## 4551 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4552 We have well established ML methods (i.e., models in production for more than 2 years)
## 4553 <NA>
## 4554 No (we do not use ML methods)
## 4555 We have well established ML methods (i.e., models in production for more than 2 years)
## 4556 I do not know
## 4557 We are exploring ML methods (and may one day put a model into production)
## 4558 I do not know
## 4559 We have well established ML methods (i.e., models in production for more than 2 years)
## 4560 No (we do not use ML methods)
## 4561 We are exploring ML methods (and may one day put a model into production)
## 4562 <NA>
## 4563 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4564 We have well established ML methods (i.e., models in production for more than 2 years)
## 4565 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4566 We have well established ML methods (i.e., models in production for more than 2 years)
## 4567 We have well established ML methods (i.e., models in production for more than 2 years)
## 4568 <NA>
## 4569 No (we do not use ML methods)
## 4570 No (we do not use ML methods)
## 4571 I do not know
## 4572 We use ML methods for generating insights (but do not put working models into production)
## 4573 I do not know
## 4574 No (we do not use ML methods)
## 4575 We are exploring ML methods (and may one day put a model into production)
## 4576 <NA>
## 4577 We are exploring ML methods (and may one day put a model into production)
## 4578 <NA>
## 4579 No (we do not use ML methods)
## 4580 <NA>
## 4581 We are exploring ML methods (and may one day put a model into production)
## 4582 We are exploring ML methods (and may one day put a model into production)
## 4583 <NA>
## 4584 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4585 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4586 <NA>
## 4587 <NA>
## 4588 We have well established ML methods (i.e., models in production for more than 2 years)
## 4589 We use ML methods for generating insights (but do not put working models into production)
## 4590 We are exploring ML methods (and may one day put a model into production)
## 4591 We use ML methods for generating insights (but do not put working models into production)
## 4592 <NA>
## 4593 No (we do not use ML methods)
## 4594 <NA>
## 4595 No (we do not use ML methods)
## 4596 We have well established ML methods (i.e., models in production for more than 2 years)
## 4597 <NA>
## 4598 <NA>
## 4599 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4600 No (we do not use ML methods)
## 4601 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4602 <NA>
## 4603 We are exploring ML methods (and may one day put a model into production)
## 4604 No (we do not use ML methods)
## 4605 We are exploring ML methods (and may one day put a model into production)
## 4606 We are exploring ML methods (and may one day put a model into production)
## 4607 No (we do not use ML methods)
## 4608 No (we do not use ML methods)
## 4609 We are exploring ML methods (and may one day put a model into production)
## 4610 I do not know
## 4611 I do not know
## 4612 We have well established ML methods (i.e., models in production for more than 2 years)
## 4613 We have well established ML methods (i.e., models in production for more than 2 years)
## 4614 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4615 No (we do not use ML methods)
## 4616 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4617 We are exploring ML methods (and may one day put a model into production)
## 4618 We are exploring ML methods (and may one day put a model into production)
## 4619 We are exploring ML methods (and may one day put a model into production)
## 4620 We are exploring ML methods (and may one day put a model into production)
## 4621 We are exploring ML methods (and may one day put a model into production)
## 4622 <NA>
## 4623 We have well established ML methods (i.e., models in production for more than 2 years)
## 4624 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4625 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4626 No (we do not use ML methods)
## 4627 No (we do not use ML methods)
## 4628 We use ML methods for generating insights (but do not put working models into production)
## 4629 <NA>
## 4630 <NA>
## 4631 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4632 No (we do not use ML methods)
## 4633 We have well established ML methods (i.e., models in production for more than 2 years)
## 4634 We are exploring ML methods (and may one day put a model into production)
## 4635 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4636 We are exploring ML methods (and may one day put a model into production)
## 4637 We have well established ML methods (i.e., models in production for more than 2 years)
## 4638 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4639 <NA>
## 4640 We are exploring ML methods (and may one day put a model into production)
## 4641 No (we do not use ML methods)
## 4642 No (we do not use ML methods)
## 4643 <NA>
## 4644 No (we do not use ML methods)
## 4645 No (we do not use ML methods)
## 4646 I do not know
## 4647 We have well established ML methods (i.e., models in production for more than 2 years)
## 4648 We use ML methods for generating insights (but do not put working models into production)
## 4649 No (we do not use ML methods)
## 4650 We have well established ML methods (i.e., models in production for more than 2 years)
## 4651 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4652 We have well established ML methods (i.e., models in production for more than 2 years)
## 4653 <NA>
## 4654 <NA>
## 4655 We are exploring ML methods (and may one day put a model into production)
## 4656 We have well established ML methods (i.e., models in production for more than 2 years)
## 4657 <NA>
## 4658 No (we do not use ML methods)
## 4659 We are exploring ML methods (and may one day put a model into production)
## 4660 I do not know
## 4661 We have well established ML methods (i.e., models in production for more than 2 years)
## 4662 <NA>
## 4663 No (we do not use ML methods)
## 4664 We are exploring ML methods (and may one day put a model into production)
## 4665 We use ML methods for generating insights (but do not put working models into production)
## 4666 We are exploring ML methods (and may one day put a model into production)
## 4667 <NA>
## 4668 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4669 <NA>
## 4670 We have well established ML methods (i.e., models in production for more than 2 years)
## 4671 We have well established ML methods (i.e., models in production for more than 2 years)
## 4672 No (we do not use ML methods)
## 4673 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4674 We use ML methods for generating insights (but do not put working models into production)
## 4675 We have well established ML methods (i.e., models in production for more than 2 years)
## 4676 We are exploring ML methods (and may one day put a model into production)
## 4677 We are exploring ML methods (and may one day put a model into production)
## 4678 <NA>
## 4679 We have well established ML methods (i.e., models in production for more than 2 years)
## 4680 <NA>
## 4681 <NA>
## 4682 We are exploring ML methods (and may one day put a model into production)
## 4683 <NA>
## 4684 No (we do not use ML methods)
## 4685 We are exploring ML methods (and may one day put a model into production)
## 4686 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4687 We are exploring ML methods (and may one day put a model into production)
## 4688 No (we do not use ML methods)
## 4689 <NA>
## 4690 We are exploring ML methods (and may one day put a model into production)
## 4691 I do not know
## 4692 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4693 We use ML methods for generating insights (but do not put working models into production)
## 4694 We have well established ML methods (i.e., models in production for more than 2 years)
## 4695 We use ML methods for generating insights (but do not put working models into production)
## 4696 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4697 <NA>
## 4698 We use ML methods for generating insights (but do not put working models into production)
## 4699 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4700 <NA>
## 4701 We are exploring ML methods (and may one day put a model into production)
## 4702 <NA>
## 4703 <NA>
## 4704 We have well established ML methods (i.e., models in production for more than 2 years)
## 4705 We are exploring ML methods (and may one day put a model into production)
## 4706 We have well established ML methods (i.e., models in production for more than 2 years)
## 4707 <NA>
## 4708 We use ML methods for generating insights (but do not put working models into production)
## 4709 <NA>
## 4710 We have well established ML methods (i.e., models in production for more than 2 years)
## 4711 We use ML methods for generating insights (but do not put working models into production)
## 4712 <NA>
## 4713 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4714 <NA>
## 4715 <NA>
## 4716 We use ML methods for generating insights (but do not put working models into production)
## 4717 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4718 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4719 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4720 No (we do not use ML methods)
## 4721 We are exploring ML methods (and may one day put a model into production)
## 4722 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4723 <NA>
## 4724 We are exploring ML methods (and may one day put a model into production)
## 4725 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4726 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4727 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4728 <NA>
## 4729 We use ML methods for generating insights (but do not put working models into production)
## 4730 We have well established ML methods (i.e., models in production for more than 2 years)
## 4731 We use ML methods for generating insights (but do not put working models into production)
## 4732 We have well established ML methods (i.e., models in production for more than 2 years)
## 4733 We have well established ML methods (i.e., models in production for more than 2 years)
## 4734 We use ML methods for generating insights (but do not put working models into production)
## 4735 We are exploring ML methods (and may one day put a model into production)
## 4736 I do not know
## 4737 <NA>
## 4738 We use ML methods for generating insights (but do not put working models into production)
## 4739 We use ML methods for generating insights (but do not put working models into production)
## 4740 We are exploring ML methods (and may one day put a model into production)
## 4741 We use ML methods for generating insights (but do not put working models into production)
## 4742 We have well established ML methods (i.e., models in production for more than 2 years)
## 4743 <NA>
## 4744 No (we do not use ML methods)
## 4745 We are exploring ML methods (and may one day put a model into production)
## 4746 <NA>
## 4747 <NA>
## 4748 We are exploring ML methods (and may one day put a model into production)
## 4749 No (we do not use ML methods)
## 4750 We have well established ML methods (i.e., models in production for more than 2 years)
## 4751 <NA>
## 4752 We have well established ML methods (i.e., models in production for more than 2 years)
## 4753 We have well established ML methods (i.e., models in production for more than 2 years)
## 4754 <NA>
## 4755 No (we do not use ML methods)
## 4756 <NA>
## 4757 We use ML methods for generating insights (but do not put working models into production)
## 4758 We use ML methods for generating insights (but do not put working models into production)
## 4759 We use ML methods for generating insights (but do not put working models into production)
## 4760 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4761 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4762 <NA>
## 4763 We are exploring ML methods (and may one day put a model into production)
## 4764 We have well established ML methods (i.e., models in production for more than 2 years)
## 4765 <NA>
## 4766 We are exploring ML methods (and may one day put a model into production)
## 4767 No (we do not use ML methods)
## 4768 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4769 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4770 We have well established ML methods (i.e., models in production for more than 2 years)
## 4771 We use ML methods for generating insights (but do not put working models into production)
## 4772 <NA>
## 4773 <NA>
## 4774 We have well established ML methods (i.e., models in production for more than 2 years)
## 4775 We use ML methods for generating insights (but do not put working models into production)
## 4776 We have well established ML methods (i.e., models in production for more than 2 years)
## 4777 We are exploring ML methods (and may one day put a model into production)
## 4778 <NA>
## 4779 We have well established ML methods (i.e., models in production for more than 2 years)
## 4780 No (we do not use ML methods)
## 4781 <NA>
## 4782 We have well established ML methods (i.e., models in production for more than 2 years)
## 4783 We have well established ML methods (i.e., models in production for more than 2 years)
## 4784 <NA>
## 4785 I do not know
## 4786 We use ML methods for generating insights (but do not put working models into production)
## 4787 <NA>
## 4788 <NA>
## 4789 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4790 <NA>
## 4791 We are exploring ML methods (and may one day put a model into production)
## 4792 We have well established ML methods (i.e., models in production for more than 2 years)
## 4793 We are exploring ML methods (and may one day put a model into production)
## 4794 We have well established ML methods (i.e., models in production for more than 2 years)
## 4795 We use ML methods for generating insights (but do not put working models into production)
## 4796 We have well established ML methods (i.e., models in production for more than 2 years)
## 4797 We are exploring ML methods (and may one day put a model into production)
## 4798 <NA>
## 4799 <NA>
## 4800 We have well established ML methods (i.e., models in production for more than 2 years)
## 4801 <NA>
## 4802 <NA>
## 4803 <NA>
## 4804 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4805 No (we do not use ML methods)
## 4806 <NA>
## 4807 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4808 We are exploring ML methods (and may one day put a model into production)
## 4809 <NA>
## 4810 We are exploring ML methods (and may one day put a model into production)
## 4811 We use ML methods for generating insights (but do not put working models into production)
## 4812 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4813 We are exploring ML methods (and may one day put a model into production)
## 4814 We have well established ML methods (i.e., models in production for more than 2 years)
## 4815 <NA>
## 4816 We have well established ML methods (i.e., models in production for more than 2 years)
## 4817 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4818 We have well established ML methods (i.e., models in production for more than 2 years)
## 4819 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4820 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4821 <NA>
## 4822 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4823 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4824 We have well established ML methods (i.e., models in production for more than 2 years)
## 4825 We have well established ML methods (i.e., models in production for more than 2 years)
## 4826 We have well established ML methods (i.e., models in production for more than 2 years)
## 4827 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4828 We have well established ML methods (i.e., models in production for more than 2 years)
## 4829 <NA>
## 4830 <NA>
## 4831 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4832 No (we do not use ML methods)
## 4833 No (we do not use ML methods)
## 4834 <NA>
## 4835 We have well established ML methods (i.e., models in production for more than 2 years)
## 4836 We are exploring ML methods (and may one day put a model into production)
## 4837 We use ML methods for generating insights (but do not put working models into production)
## 4838 <NA>
## 4839 We are exploring ML methods (and may one day put a model into production)
## 4840 We are exploring ML methods (and may one day put a model into production)
## 4841 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4842 We use ML methods for generating insights (but do not put working models into production)
## 4843 We have well established ML methods (i.e., models in production for more than 2 years)
## 4844 We have well established ML methods (i.e., models in production for more than 2 years)
## 4845 We are exploring ML methods (and may one day put a model into production)
## 4846 We have well established ML methods (i.e., models in production for more than 2 years)
## 4847 No (we do not use ML methods)
## 4848 No (we do not use ML methods)
## 4849 We have well established ML methods (i.e., models in production for more than 2 years)
## 4850 We are exploring ML methods (and may one day put a model into production)
## 4851 No (we do not use ML methods)
## 4852 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4853 No (we do not use ML methods)
## 4854 We have well established ML methods (i.e., models in production for more than 2 years)
## 4855 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4856 We are exploring ML methods (and may one day put a model into production)
## 4857 We use ML methods for generating insights (but do not put working models into production)
## 4858 We have well established ML methods (i.e., models in production for more than 2 years)
## 4859 We use ML methods for generating insights (but do not put working models into production)
## 4860 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4861 No (we do not use ML methods)
## 4862 <NA>
## 4863 We have well established ML methods (i.e., models in production for more than 2 years)
## 4864 We have well established ML methods (i.e., models in production for more than 2 years)
## 4865 <NA>
## 4866 No (we do not use ML methods)
## 4867 We have well established ML methods (i.e., models in production for more than 2 years)
## 4868 <NA>
## 4869 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4870 No (we do not use ML methods)
## 4871 We have well established ML methods (i.e., models in production for more than 2 years)
## 4872 We use ML methods for generating insights (but do not put working models into production)
## 4873 We are exploring ML methods (and may one day put a model into production)
## 4874 We have well established ML methods (i.e., models in production for more than 2 years)
## 4875 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4876 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4877 <NA>
## 4878 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4879 <NA>
## 4880 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4881 I do not know
## 4882 <NA>
## 4883 <NA>
## 4884 We have well established ML methods (i.e., models in production for more than 2 years)
## 4885 <NA>
## 4886 I do not know
## 4887 No (we do not use ML methods)
## 4888 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4889 We have well established ML methods (i.e., models in production for more than 2 years)
## 4890 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4891 We use ML methods for generating insights (but do not put working models into production)
## 4892 We use ML methods for generating insights (but do not put working models into production)
## 4893 <NA>
## 4894 <NA>
## 4895 No (we do not use ML methods)
## 4896 We use ML methods for generating insights (but do not put working models into production)
## 4897 <NA>
## 4898 <NA>
## 4899 We have well established ML methods (i.e., models in production for more than 2 years)
## 4900 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4901 We have well established ML methods (i.e., models in production for more than 2 years)
## 4902 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4903 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4904 <NA>
## 4905 We have well established ML methods (i.e., models in production for more than 2 years)
## 4906 We are exploring ML methods (and may one day put a model into production)
## 4907 We have well established ML methods (i.e., models in production for more than 2 years)
## 4908 <NA>
## 4909 We are exploring ML methods (and may one day put a model into production)
## 4910 <NA>
## 4911 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4912 No (we do not use ML methods)
## 4913 <NA>
## 4914 We have well established ML methods (i.e., models in production for more than 2 years)
## 4915 We are exploring ML methods (and may one day put a model into production)
## 4916 We have well established ML methods (i.e., models in production for more than 2 years)
## 4917 No (we do not use ML methods)
## 4918 No (we do not use ML methods)
## 4919 I do not know
## 4920 We have well established ML methods (i.e., models in production for more than 2 years)
## 4921 No (we do not use ML methods)
## 4922 No (we do not use ML methods)
## 4923 We have well established ML methods (i.e., models in production for more than 2 years)
## 4924 We are exploring ML methods (and may one day put a model into production)
## 4925 <NA>
## 4926 We have well established ML methods (i.e., models in production for more than 2 years)
## 4927 We are exploring ML methods (and may one day put a model into production)
## 4928 We have well established ML methods (i.e., models in production for more than 2 years)
## 4929 No (we do not use ML methods)
## 4930 We are exploring ML methods (and may one day put a model into production)
## 4931 No (we do not use ML methods)
## 4932 No (we do not use ML methods)
## 4933 We use ML methods for generating insights (but do not put working models into production)
## 4934 We have well established ML methods (i.e., models in production for more than 2 years)
## 4935 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4936 I do not know
## 4937 We are exploring ML methods (and may one day put a model into production)
## 4938 <NA>
## 4939 <NA>
## 4940 <NA>
## 4941 No (we do not use ML methods)
## 4942 We have well established ML methods (i.e., models in production for more than 2 years)
## 4943 No (we do not use ML methods)
## 4944 We use ML methods for generating insights (but do not put working models into production)
## 4945 I do not know
## 4946 We are exploring ML methods (and may one day put a model into production)
## 4947 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4948 I do not know
## 4949 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4950 We are exploring ML methods (and may one day put a model into production)
## 4951 We use ML methods for generating insights (but do not put working models into production)
## 4952 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4953 No (we do not use ML methods)
## 4954 We have well established ML methods (i.e., models in production for more than 2 years)
## 4955 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4956 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4957 <NA>
## 4958 <NA>
## 4959 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4960 I do not know
## 4961 We are exploring ML methods (and may one day put a model into production)
## 4962 No (we do not use ML methods)
## 4963 We have well established ML methods (i.e., models in production for more than 2 years)
## 4964 <NA>
## 4965 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4966 We are exploring ML methods (and may one day put a model into production)
## 4967 We are exploring ML methods (and may one day put a model into production)
## 4968 We are exploring ML methods (and may one day put a model into production)
## 4969 We use ML methods for generating insights (but do not put working models into production)
## 4970 I do not know
## 4971 <NA>
## 4972 <NA>
## 4973 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4974 We have well established ML methods (i.e., models in production for more than 2 years)
## 4975 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4976 We have well established ML methods (i.e., models in production for more than 2 years)
## 4977 I do not know
## 4978 We have well established ML methods (i.e., models in production for more than 2 years)
## 4979 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4980 We are exploring ML methods (and may one day put a model into production)
## 4981 We have well established ML methods (i.e., models in production for more than 2 years)
## 4982 No (we do not use ML methods)
## 4983 We are exploring ML methods (and may one day put a model into production)
## 4984 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4985 <NA>
## 4986 I do not know
## 4987 No (we do not use ML methods)
## 4988 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4989 We have well established ML methods (i.e., models in production for more than 2 years)
## 4990 No (we do not use ML methods)
## 4991 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4992 We are exploring ML methods (and may one day put a model into production)
## 4993 No (we do not use ML methods)
## 4994 We use ML methods for generating insights (but do not put working models into production)
## 4995 We have well established ML methods (i.e., models in production for more than 2 years)
## 4996 We have well established ML methods (i.e., models in production for more than 2 years)
## 4997 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4998 No (we do not use ML methods)
## 4999 No (we do not use ML methods)
## 5000 We are exploring ML methods (and may one day put a model into production)
## 5001 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5002 We have well established ML methods (i.e., models in production for more than 2 years)
## 5003 We are exploring ML methods (and may one day put a model into production)
## 5004 We have well established ML methods (i.e., models in production for more than 2 years)
## 5005 <NA>
## 5006 We are exploring ML methods (and may one day put a model into production)
## 5007 We use ML methods for generating insights (but do not put working models into production)
## 5008 We have well established ML methods (i.e., models in production for more than 2 years)
## 5009 I do not know
## 5010 We have well established ML methods (i.e., models in production for more than 2 years)
## 5011 We are exploring ML methods (and may one day put a model into production)
## 5012 We use ML methods for generating insights (but do not put working models into production)
## 5013 We use ML methods for generating insights (but do not put working models into production)
## 5014 We use ML methods for generating insights (but do not put working models into production)
## 5015 We have well established ML methods (i.e., models in production for more than 2 years)
## 5016 <NA>
## 5017 <NA>
## 5018 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5019 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5020 We have well established ML methods (i.e., models in production for more than 2 years)
## 5021 We are exploring ML methods (and may one day put a model into production)
## 5022 <NA>
## 5023 We have well established ML methods (i.e., models in production for more than 2 years)
## 5024 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5025 <NA>
## 5026 <NA>
## 5027 We have well established ML methods (i.e., models in production for more than 2 years)
## 5028 We have well established ML methods (i.e., models in production for more than 2 years)
## 5029 We use ML methods for generating insights (but do not put working models into production)
## 5030 We are exploring ML methods (and may one day put a model into production)
## 5031 We have well established ML methods (i.e., models in production for more than 2 years)
## 5032 No (we do not use ML methods)
## 5033 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5034 <NA>
## 5035 We are exploring ML methods (and may one day put a model into production)
## 5036 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5037 <NA>
## 5038 I do not know
## 5039 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5040 No (we do not use ML methods)
## 5041 No (we do not use ML methods)
## 5042 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5043 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5044 <NA>
## 5045 I do not know
## 5046 <NA>
## 5047 <NA>
## 5048 <NA>
## 5049 I do not know
## 5050 We use ML methods for generating insights (but do not put working models into production)
## 5051 We have well established ML methods (i.e., models in production for more than 2 years)
## 5052 We have well established ML methods (i.e., models in production for more than 2 years)
## 5053 <NA>
## 5054 We use ML methods for generating insights (but do not put working models into production)
## 5055 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5056 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5057 We have well established ML methods (i.e., models in production for more than 2 years)
## 5058 No (we do not use ML methods)
## 5059 We have well established ML methods (i.e., models in production for more than 2 years)
## 5060 We are exploring ML methods (and may one day put a model into production)
## 5061 <NA>
## 5062 I do not know
## 5063 <NA>
## 5064 We use ML methods for generating insights (but do not put working models into production)
## 5065 <NA>
## 5066 <NA>
## 5067 We have well established ML methods (i.e., models in production for more than 2 years)
## 5068 No (we do not use ML methods)
## 5069 We have well established ML methods (i.e., models in production for more than 2 years)
## 5070 <NA>
## 5071 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5072 We use ML methods for generating insights (but do not put working models into production)
## 5073 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5074 <NA>
## 5075 We use ML methods for generating insights (but do not put working models into production)
## 5076 <NA>
## 5077 We are exploring ML methods (and may one day put a model into production)
## 5078 <NA>
## 5079 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5080 <NA>
## 5081 We are exploring ML methods (and may one day put a model into production)
## 5082 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5083 <NA>
## 5084 <NA>
## 5085 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5086 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5087 <NA>
## 5088 <NA>
## 5089 We have well established ML methods (i.e., models in production for more than 2 years)
## 5090 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5091 <NA>
## 5092 No (we do not use ML methods)
## 5093 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5094 <NA>
## 5095 I do not know
## 5096 We are exploring ML methods (and may one day put a model into production)
## 5097 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5098 We have well established ML methods (i.e., models in production for more than 2 years)
## 5099 We are exploring ML methods (and may one day put a model into production)
## 5100 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5101 <NA>
## 5102 I do not know
## 5103 We are exploring ML methods (and may one day put a model into production)
## 5104 We have well established ML methods (i.e., models in production for more than 2 years)
## 5105 We are exploring ML methods (and may one day put a model into production)
## 5106 We are exploring ML methods (and may one day put a model into production)
## 5107 We are exploring ML methods (and may one day put a model into production)
## 5108 We have well established ML methods (i.e., models in production for more than 2 years)
## 5109 We use ML methods for generating insights (but do not put working models into production)
## 5110 We are exploring ML methods (and may one day put a model into production)
## 5111 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5112 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5113 We have well established ML methods (i.e., models in production for more than 2 years)
## 5114 No (we do not use ML methods)
## 5115 We have well established ML methods (i.e., models in production for more than 2 years)
## 5116 We are exploring ML methods (and may one day put a model into production)
## 5117 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5118 No (we do not use ML methods)
## 5119 <NA>
## 5120 I do not know
## 5121 <NA>
## 5122 <NA>
## 5123 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5124 We are exploring ML methods (and may one day put a model into production)
## 5125 No (we do not use ML methods)
## 5126 We have well established ML methods (i.e., models in production for more than 2 years)
## 5127 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5128 No (we do not use ML methods)
## 5129 No (we do not use ML methods)
## 5130 We use ML methods for generating insights (but do not put working models into production)
## 5131 We are exploring ML methods (and may one day put a model into production)
## 5132 We are exploring ML methods (and may one day put a model into production)
## 5133 <NA>
## 5134 We have well established ML methods (i.e., models in production for more than 2 years)
## 5135 We are exploring ML methods (and may one day put a model into production)
## 5136 We have well established ML methods (i.e., models in production for more than 2 years)
## 5137 <NA>
## 5138 <NA>
## 5139 We have well established ML methods (i.e., models in production for more than 2 years)
## 5140 We are exploring ML methods (and may one day put a model into production)
## 5141 <NA>
## 5142 <NA>
## 5143 No (we do not use ML methods)
## 5144 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5145 <NA>
## 5146 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5147 We use ML methods for generating insights (but do not put working models into production)
## 5148 We have well established ML methods (i.e., models in production for more than 2 years)
## 5149 We are exploring ML methods (and may one day put a model into production)
## 5150 <NA>
## 5151 We have well established ML methods (i.e., models in production for more than 2 years)
## 5152 We are exploring ML methods (and may one day put a model into production)
## 5153 No (we do not use ML methods)
## 5154 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5155 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5156 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5157 I do not know
## 5158 I do not know
## 5159 <NA>
## 5160 No (we do not use ML methods)
## 5161 No (we do not use ML methods)
## 5162 I do not know
## 5163 I do not know
## 5164 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5165 I do not know
## 5166 We use ML methods for generating insights (but do not put working models into production)
## 5167 We use ML methods for generating insights (but do not put working models into production)
## 5168 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5169 No (we do not use ML methods)
## 5170 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5171 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5172 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5173 We have well established ML methods (i.e., models in production for more than 2 years)
## 5174 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5175 We are exploring ML methods (and may one day put a model into production)
## 5176 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5177 <NA>
## 5178 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5179 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5180 We are exploring ML methods (and may one day put a model into production)
## 5181 We have well established ML methods (i.e., models in production for more than 2 years)
## 5182 No (we do not use ML methods)
## 5183 We have well established ML methods (i.e., models in production for more than 2 years)
## 5184 I do not know
## 5185 We have well established ML methods (i.e., models in production for more than 2 years)
## 5186 We have well established ML methods (i.e., models in production for more than 2 years)
## 5187 No (we do not use ML methods)
## 5188 <NA>
## 5189 <NA>
## 5190 We use ML methods for generating insights (but do not put working models into production)
## 5191 No (we do not use ML methods)
## 5192 <NA>
## 5193 We use ML methods for generating insights (but do not put working models into production)
## 5194 We have well established ML methods (i.e., models in production for more than 2 years)
## 5195 We have well established ML methods (i.e., models in production for more than 2 years)
## 5196 <NA>
## 5197 We have well established ML methods (i.e., models in production for more than 2 years)
## 5198 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5199 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5200 No (we do not use ML methods)
## 5201 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5202 <NA>
## 5203 We are exploring ML methods (and may one day put a model into production)
## 5204 We have well established ML methods (i.e., models in production for more than 2 years)
## 5205 We are exploring ML methods (and may one day put a model into production)
## 5206 We are exploring ML methods (and may one day put a model into production)
## 5207 We have well established ML methods (i.e., models in production for more than 2 years)
## 5208 <NA>
## 5209 We are exploring ML methods (and may one day put a model into production)
## 5210 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5211 We use ML methods for generating insights (but do not put working models into production)
## 5212 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5213 No (we do not use ML methods)
## 5214 We have well established ML methods (i.e., models in production for more than 2 years)
## 5215 No (we do not use ML methods)
## 5216 We have well established ML methods (i.e., models in production for more than 2 years)
## 5217 <NA>
## 5218 I do not know
## 5219 No (we do not use ML methods)
## 5220 No (we do not use ML methods)
## 5221 We have well established ML methods (i.e., models in production for more than 2 years)
## 5222 No (we do not use ML methods)
## 5223 We are exploring ML methods (and may one day put a model into production)
## 5224 We are exploring ML methods (and may one day put a model into production)
## 5225 <NA>
## 5226 We have well established ML methods (i.e., models in production for more than 2 years)
## 5227 We are exploring ML methods (and may one day put a model into production)
## 5228 We have well established ML methods (i.e., models in production for more than 2 years)
## 5229 <NA>
## 5230 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5231 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5232 We use ML methods for generating insights (but do not put working models into production)
## 5233 We have well established ML methods (i.e., models in production for more than 2 years)
## 5234 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5235 We use ML methods for generating insights (but do not put working models into production)
## 5236 We have well established ML methods (i.e., models in production for more than 2 years)
## 5237 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5238 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5239 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5240 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5241 We are exploring ML methods (and may one day put a model into production)
## 5242 We use ML methods for generating insights (but do not put working models into production)
## 5243 We use ML methods for generating insights (but do not put working models into production)
## 5244 We have well established ML methods (i.e., models in production for more than 2 years)
## 5245 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5246 We have well established ML methods (i.e., models in production for more than 2 years)
## 5247 <NA>
## 5248 <NA>
## 5249 <NA>
## 5250 We are exploring ML methods (and may one day put a model into production)
## 5251 I do not know
## 5252 I do not know
## 5253 No (we do not use ML methods)
## 5254 We are exploring ML methods (and may one day put a model into production)
## 5255 We are exploring ML methods (and may one day put a model into production)
## 5256 We are exploring ML methods (and may one day put a model into production)
## 5257 No (we do not use ML methods)
## 5258 I do not know
## 5259 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5260 <NA>
## 5261 <NA>
## 5262 We use ML methods for generating insights (but do not put working models into production)
## 5263 We have well established ML methods (i.e., models in production for more than 2 years)
## 5264 We have well established ML methods (i.e., models in production for more than 2 years)
## 5265 We are exploring ML methods (and may one day put a model into production)
## 5266 We are exploring ML methods (and may one day put a model into production)
## 5267 We are exploring ML methods (and may one day put a model into production)
## 5268 We have well established ML methods (i.e., models in production for more than 2 years)
## 5269 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5270 We are exploring ML methods (and may one day put a model into production)
## 5271 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5272 We use ML methods for generating insights (but do not put working models into production)
## 5273 <NA>
## 5274 We have well established ML methods (i.e., models in production for more than 2 years)
## 5275 We have well established ML methods (i.e., models in production for more than 2 years)
## 5276 <NA>
## 5277 We use ML methods for generating insights (but do not put working models into production)
## 5278 <NA>
## 5279 <NA>
## 5280 No (we do not use ML methods)
## 5281 <NA>
## 5282 We use ML methods for generating insights (but do not put working models into production)
## 5283 No (we do not use ML methods)
## 5284 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5285 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5286 I do not know
## 5287 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5288 <NA>
## 5289 No (we do not use ML methods)
## 5290 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5291 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5292 We have well established ML methods (i.e., models in production for more than 2 years)
## 5293 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5294 <NA>
## 5295 We use ML methods for generating insights (but do not put working models into production)
## 5296 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5297 We use ML methods for generating insights (but do not put working models into production)
## 5298 We have well established ML methods (i.e., models in production for more than 2 years)
## 5299 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5300 No (we do not use ML methods)
## 5301 <NA>
## 5302 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5303 We have well established ML methods (i.e., models in production for more than 2 years)
## 5304 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5305 <NA>
## 5306 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5307 No (we do not use ML methods)
## 5308 <NA>
## 5309 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5310 We are exploring ML methods (and may one day put a model into production)
## 5311 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5312 I do not know
## 5313 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5314 No (we do not use ML methods)
## 5315 We have well established ML methods (i.e., models in production for more than 2 years)
## 5316 We use ML methods for generating insights (but do not put working models into production)
## 5317 We use ML methods for generating insights (but do not put working models into production)
## 5318 We are exploring ML methods (and may one day put a model into production)
## 5319 <NA>
## 5320 <NA>
## 5321 We are exploring ML methods (and may one day put a model into production)
## 5322 <NA>
## 5323 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5324 We are exploring ML methods (and may one day put a model into production)
## 5325 We have well established ML methods (i.e., models in production for more than 2 years)
## 5326 We have well established ML methods (i.e., models in production for more than 2 years)
## 5327 We use ML methods for generating insights (but do not put working models into production)
## 5328 <NA>
## 5329 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5330 We have well established ML methods (i.e., models in production for more than 2 years)
## 5331 No (we do not use ML methods)
## 5332 We are exploring ML methods (and may one day put a model into production)
## 5333 <NA>
## 5334 We are exploring ML methods (and may one day put a model into production)
## 5335 I do not know
## 5336 No (we do not use ML methods)
## 5337 <NA>
## 5338 We use ML methods for generating insights (but do not put working models into production)
## 5339 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5340 We are exploring ML methods (and may one day put a model into production)
## 5341 We are exploring ML methods (and may one day put a model into production)
## 5342 We have well established ML methods (i.e., models in production for more than 2 years)
## 5343 <NA>
## 5344 We have well established ML methods (i.e., models in production for more than 2 years)
## 5345 I do not know
## 5346 We are exploring ML methods (and may one day put a model into production)
## 5347 I do not know
## 5348 No (we do not use ML methods)
## 5349 <NA>
## 5350 We have well established ML methods (i.e., models in production for more than 2 years)
## 5351 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5352 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5353 <NA>
## 5354 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5355 We use ML methods for generating insights (but do not put working models into production)
## 5356 We have well established ML methods (i.e., models in production for more than 2 years)
## 5357 We have well established ML methods (i.e., models in production for more than 2 years)
## 5358 We are exploring ML methods (and may one day put a model into production)
## 5359 We have well established ML methods (i.e., models in production for more than 2 years)
## 5360 No (we do not use ML methods)
## 5361 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5362 <NA>
## 5363 I do not know
## 5364 <NA>
## 5365 <NA>
## 5366 We have well established ML methods (i.e., models in production for more than 2 years)
## 5367 No (we do not use ML methods)
## 5368 <NA>
## 5369 No (we do not use ML methods)
## 5370 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5371 No (we do not use ML methods)
## 5372 We are exploring ML methods (and may one day put a model into production)
## 5373 <NA>
## 5374 We are exploring ML methods (and may one day put a model into production)
## 5375 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5376 <NA>
## 5377 <NA>
## 5378 <NA>
## 5379 We use ML methods for generating insights (but do not put working models into production)
## 5380 <NA>
## 5381 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5382 I do not know
## 5383 We are exploring ML methods (and may one day put a model into production)
## 5384 No (we do not use ML methods)
## 5385 We have well established ML methods (i.e., models in production for more than 2 years)
## 5386 We are exploring ML methods (and may one day put a model into production)
## 5387 We are exploring ML methods (and may one day put a model into production)
## 5388 No (we do not use ML methods)
## 5389 I do not know
## 5390 We have well established ML methods (i.e., models in production for more than 2 years)
## 5391 We have well established ML methods (i.e., models in production for more than 2 years)
## 5392 <NA>
## 5393 <NA>
## 5394 <NA>
## 5395 We are exploring ML methods (and may one day put a model into production)
## 5396 No (we do not use ML methods)
## 5397 No (we do not use ML methods)
## 5398 We have well established ML methods (i.e., models in production for more than 2 years)
## 5399 We are exploring ML methods (and may one day put a model into production)
## 5400 We are exploring ML methods (and may one day put a model into production)
## 5401 I do not know
## 5402 We use ML methods for generating insights (but do not put working models into production)
## 5403 I do not know
## 5404 We have well established ML methods (i.e., models in production for more than 2 years)
## 5405 We are exploring ML methods (and may one day put a model into production)
## 5406 <NA>
## 5407 <NA>
## 5408 We are exploring ML methods (and may one day put a model into production)
## 5409 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5410 We are exploring ML methods (and may one day put a model into production)
## 5411 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5412 We are exploring ML methods (and may one day put a model into production)
## 5413 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5414 <NA>
## 5415 I do not know
## 5416 We use ML methods for generating insights (but do not put working models into production)
## 5417 We use ML methods for generating insights (but do not put working models into production)
## 5418 No (we do not use ML methods)
## 5419 We are exploring ML methods (and may one day put a model into production)
## 5420 I do not know
## 5421 <NA>
## 5422 <NA>
## 5423 We use ML methods for generating insights (but do not put working models into production)
## 5424 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5425 We have well established ML methods (i.e., models in production for more than 2 years)
## 5426 We are exploring ML methods (and may one day put a model into production)
## 5427 <NA>
## 5428 No (we do not use ML methods)
## 5429 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5430 We use ML methods for generating insights (but do not put working models into production)
## 5431 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5432 We are exploring ML methods (and may one day put a model into production)
## 5433 We have well established ML methods (i.e., models in production for more than 2 years)
## 5434 <NA>
## 5435 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5436 We have well established ML methods (i.e., models in production for more than 2 years)
## 5437 <NA>
## 5438 We have well established ML methods (i.e., models in production for more than 2 years)
## 5439 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5440 No (we do not use ML methods)
## 5441 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5442 <NA>
## 5443 <NA>
## 5444 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5445 I do not know
## 5446 <NA>
## 5447 <NA>
## 5448 I do not know
## 5449 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5450 We have well established ML methods (i.e., models in production for more than 2 years)
## 5451 We use ML methods for generating insights (but do not put working models into production)
## 5452 We have well established ML methods (i.e., models in production for more than 2 years)
## 5453 No (we do not use ML methods)
## 5454 We have well established ML methods (i.e., models in production for more than 2 years)
## 5455 We have well established ML methods (i.e., models in production for more than 2 years)
## 5456 No (we do not use ML methods)
## 5457 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5458 We are exploring ML methods (and may one day put a model into production)
## 5459 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5460 We use ML methods for generating insights (but do not put working models into production)
## 5461 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5462 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5463 <NA>
## 5464 We are exploring ML methods (and may one day put a model into production)
## 5465 We have well established ML methods (i.e., models in production for more than 2 years)
## 5466 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5467 No (we do not use ML methods)
## 5468 <NA>
## 5469 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5470 We are exploring ML methods (and may one day put a model into production)
## 5471 No (we do not use ML methods)
## 5472 <NA>
## 5473 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5474 <NA>
## 5475 We have well established ML methods (i.e., models in production for more than 2 years)
## 5476 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5477 No (we do not use ML methods)
## 5478 We are exploring ML methods (and may one day put a model into production)
## 5479 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5480 We are exploring ML methods (and may one day put a model into production)
## 5481 We have well established ML methods (i.e., models in production for more than 2 years)
## 5482 We are exploring ML methods (and may one day put a model into production)
## 5483 No (we do not use ML methods)
## 5484 <NA>
## 5485 No (we do not use ML methods)
## 5486 <NA>
## 5487 We use ML methods for generating insights (but do not put working models into production)
## 5488 We are exploring ML methods (and may one day put a model into production)
## 5489 We are exploring ML methods (and may one day put a model into production)
## 5490 No (we do not use ML methods)
## 5491 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5492 I do not know
## 5493 I do not know
## 5494 We use ML methods for generating insights (but do not put working models into production)
## 5495 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5496 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5497 We are exploring ML methods (and may one day put a model into production)
## 5498 We are exploring ML methods (and may one day put a model into production)
## 5499 <NA>
## 5500 <NA>
## 5501 <NA>
## 5502 We have well established ML methods (i.e., models in production for more than 2 years)
## 5503 We are exploring ML methods (and may one day put a model into production)
## 5504 We have well established ML methods (i.e., models in production for more than 2 years)
## 5505 We use ML methods for generating insights (but do not put working models into production)
## 5506 No (we do not use ML methods)
## 5507 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5508 We are exploring ML methods (and may one day put a model into production)
## 5509 No (we do not use ML methods)
## 5510 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5511 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5512 No (we do not use ML methods)
## 5513 <NA>
## 5514 <NA>
## 5515 No (we do not use ML methods)
## 5516 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5517 We have well established ML methods (i.e., models in production for more than 2 years)
## 5518 We are exploring ML methods (and may one day put a model into production)
## 5519 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5520 We have well established ML methods (i.e., models in production for more than 2 years)
## 5521 No (we do not use ML methods)
## 5522 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5523 No (we do not use ML methods)
## 5524 <NA>
## 5525 We are exploring ML methods (and may one day put a model into production)
## 5526 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5527 <NA>
## 5528 I do not know
## 5529 <NA>
## 5530 No (we do not use ML methods)
## 5531 <NA>
## 5532 <NA>
## 5533 We have well established ML methods (i.e., models in production for more than 2 years)
## 5534 No (we do not use ML methods)
## 5535 We are exploring ML methods (and may one day put a model into production)
## 5536 We have well established ML methods (i.e., models in production for more than 2 years)
## 5537 We use ML methods for generating insights (but do not put working models into production)
## 5538 We have well established ML methods (i.e., models in production for more than 2 years)
## 5539 <NA>
## 5540 <NA>
## 5541 We use ML methods for generating insights (but do not put working models into production)
## 5542 I do not know
## 5543 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5544 No (we do not use ML methods)
## 5545 We are exploring ML methods (and may one day put a model into production)
## 5546 <NA>
## 5547 No (we do not use ML methods)
## 5548 We are exploring ML methods (and may one day put a model into production)
## 5549 I do not know
## 5550 We are exploring ML methods (and may one day put a model into production)
## 5551 No (we do not use ML methods)
## 5552 <NA>
## 5553 We have well established ML methods (i.e., models in production for more than 2 years)
## 5554 <NA>
## 5555 No (we do not use ML methods)
## 5556 <NA>
## 5557 We have well established ML methods (i.e., models in production for more than 2 years)
## 5558 We use ML methods for generating insights (but do not put working models into production)
## 5559 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5560 <NA>
## 5561 <NA>
## 5562 We have well established ML methods (i.e., models in production for more than 2 years)
## 5563 We are exploring ML methods (and may one day put a model into production)
## 5564 <NA>
## 5565 I do not know
## 5566 No (we do not use ML methods)
## 5567 We have well established ML methods (i.e., models in production for more than 2 years)
## 5568 <NA>
## 5569 <NA>
## 5570 No (we do not use ML methods)
## 5571 <NA>
## 5572 We have well established ML methods (i.e., models in production for more than 2 years)
## 5573 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5574 We are exploring ML methods (and may one day put a model into production)
## 5575 We use ML methods for generating insights (but do not put working models into production)
## 5576 We have well established ML methods (i.e., models in production for more than 2 years)
## 5577 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5578 <NA>
## 5579 <NA>
## 5580 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5581 No (we do not use ML methods)
## 5582 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5583 <NA>
## 5584 <NA>
## 5585 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5586 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5587 No (we do not use ML methods)
## 5588 No (we do not use ML methods)
## 5589 We have well established ML methods (i.e., models in production for more than 2 years)
## 5590 No (we do not use ML methods)
## 5591 No (we do not use ML methods)
## 5592 <NA>
## 5593 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5594 <NA>
## 5595 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5596 We use ML methods for generating insights (but do not put working models into production)
## 5597 We are exploring ML methods (and may one day put a model into production)
## 5598 <NA>
## 5599 <NA>
## 5600 No (we do not use ML methods)
## 5601 <NA>
## 5602 We have well established ML methods (i.e., models in production for more than 2 years)
## 5603 We use ML methods for generating insights (but do not put working models into production)
## 5604 We have well established ML methods (i.e., models in production for more than 2 years)
## 5605 <NA>
## 5606 We are exploring ML methods (and may one day put a model into production)
## 5607 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5608 <NA>
## 5609 We are exploring ML methods (and may one day put a model into production)
## 5610 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5611 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5612 <NA>
## 5613 We are exploring ML methods (and may one day put a model into production)
## 5614 We are exploring ML methods (and may one day put a model into production)
## 5615 We are exploring ML methods (and may one day put a model into production)
## 5616 We are exploring ML methods (and may one day put a model into production)
## 5617 <NA>
## 5618 <NA>
## 5619 <NA>
## 5620 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5621 <NA>
## 5622 We have well established ML methods (i.e., models in production for more than 2 years)
## 5623 We use ML methods for generating insights (but do not put working models into production)
## 5624 <NA>
## 5625 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5626 I do not know
## 5627 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5628 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5629 We have well established ML methods (i.e., models in production for more than 2 years)
## 5630 <NA>
## 5631 We are exploring ML methods (and may one day put a model into production)
## 5632 <NA>
## 5633 No (we do not use ML methods)
## 5634 We are exploring ML methods (and may one day put a model into production)
## 5635 We have well established ML methods (i.e., models in production for more than 2 years)
## 5636 <NA>
## 5637 <NA>
## 5638 We have well established ML methods (i.e., models in production for more than 2 years)
## 5639 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5640 No (we do not use ML methods)
## 5641 We use ML methods for generating insights (but do not put working models into production)
## 5642 No (we do not use ML methods)
## 5643 <NA>
## 5644 <NA>
## 5645 We are exploring ML methods (and may one day put a model into production)
## 5646 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5647 We use ML methods for generating insights (but do not put working models into production)
## 5648 <NA>
## 5649 <NA>
## 5650 <NA>
## 5651 We have well established ML methods (i.e., models in production for more than 2 years)
## 5652 We have well established ML methods (i.e., models in production for more than 2 years)
## 5653 <NA>
## 5654 No (we do not use ML methods)
## 5655 We are exploring ML methods (and may one day put a model into production)
## 5656 No (we do not use ML methods)
## 5657 <NA>
## 5658 <NA>
## 5659 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5660 I do not know
## 5661 No (we do not use ML methods)
## 5662 We are exploring ML methods (and may one day put a model into production)
## 5663 We use ML methods for generating insights (but do not put working models into production)
## 5664 We have well established ML methods (i.e., models in production for more than 2 years)
## 5665 We have well established ML methods (i.e., models in production for more than 2 years)
## 5666 <NA>
## 5667 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5668 I do not know
## 5669 We are exploring ML methods (and may one day put a model into production)
## 5670 We have well established ML methods (i.e., models in production for more than 2 years)
## 5671 No (we do not use ML methods)
## 5672 <NA>
## 5673 We have well established ML methods (i.e., models in production for more than 2 years)
## 5674 We are exploring ML methods (and may one day put a model into production)
## 5675 We are exploring ML methods (and may one day put a model into production)
## 5676 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5677 <NA>
## 5678 We are exploring ML methods (and may one day put a model into production)
## 5679 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5680 <NA>
## 5681 <NA>
## 5682 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5683 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5684 No (we do not use ML methods)
## 5685 I do not know
## 5686 <NA>
## 5687 We have well established ML methods (i.e., models in production for more than 2 years)
## 5688 I do not know
## 5689 No (we do not use ML methods)
## 5690 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5691 No (we do not use ML methods)
## 5692 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5693 <NA>
## 5694 <NA>
## 5695 I do not know
## 5696 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5697 We have well established ML methods (i.e., models in production for more than 2 years)
## 5698 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5699 We are exploring ML methods (and may one day put a model into production)
## 5700 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5701 <NA>
## 5702 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5703 <NA>
## 5704 I do not know
## 5705 No (we do not use ML methods)
## 5706 No (we do not use ML methods)
## 5707 I do not know
## 5708 We have well established ML methods (i.e., models in production for more than 2 years)
## 5709 We are exploring ML methods (and may one day put a model into production)
## 5710 No (we do not use ML methods)
## 5711 We are exploring ML methods (and may one day put a model into production)
## 5712 I do not know
## 5713 We have well established ML methods (i.e., models in production for more than 2 years)
## 5714 We use ML methods for generating insights (but do not put working models into production)
## 5715 We have well established ML methods (i.e., models in production for more than 2 years)
## 5716 We are exploring ML methods (and may one day put a model into production)
## 5717 We have well established ML methods (i.e., models in production for more than 2 years)
## 5718 No (we do not use ML methods)
## 5719 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5720 <NA>
## 5721 <NA>
## 5722 We use ML methods for generating insights (but do not put working models into production)
## 5723 I do not know
## 5724 No (we do not use ML methods)
## 5725 <NA>
## 5726 <NA>
## 5727 We are exploring ML methods (and may one day put a model into production)
## 5728 <NA>
## 5729 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5730 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5731 We use ML methods for generating insights (but do not put working models into production)
## 5732 <NA>
## 5733 We have well established ML methods (i.e., models in production for more than 2 years)
## 5734 I do not know
## 5735 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5736 We are exploring ML methods (and may one day put a model into production)
## 5737 We are exploring ML methods (and may one day put a model into production)
## 5738 I do not know
## 5739 We are exploring ML methods (and may one day put a model into production)
## 5740 We are exploring ML methods (and may one day put a model into production)
## 5741 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5742 <NA>
## 5743 We have well established ML methods (i.e., models in production for more than 2 years)
## 5744 No (we do not use ML methods)
## 5745 <NA>
## 5746 I do not know
## 5747 <NA>
## 5748 <NA>
## 5749 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5750 We are exploring ML methods (and may one day put a model into production)
## 5751 <NA>
## 5752 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5753 I do not know
## 5754 No (we do not use ML methods)
## 5755 <NA>
## 5756 <NA>
## 5757 We have well established ML methods (i.e., models in production for more than 2 years)
## 5758 No (we do not use ML methods)
## 5759 We use ML methods for generating insights (but do not put working models into production)
## 5760 <NA>
## 5761 <NA>
## 5762 We have well established ML methods (i.e., models in production for more than 2 years)
## 5763 <NA>
## 5764 <NA>
## 5765 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5766 We have well established ML methods (i.e., models in production for more than 2 years)
## 5767 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5768 <NA>
## 5769 <NA>
## 5770 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5771 We use ML methods for generating insights (but do not put working models into production)
## 5772 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5773 We have well established ML methods (i.e., models in production for more than 2 years)
## 5774 We are exploring ML methods (and may one day put a model into production)
## 5775 No (we do not use ML methods)
## 5776 We are exploring ML methods (and may one day put a model into production)
## 5777 We are exploring ML methods (and may one day put a model into production)
## 5778 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5779 <NA>
## 5780 We have well established ML methods (i.e., models in production for more than 2 years)
## 5781 We are exploring ML methods (and may one day put a model into production)
## 5782 We have well established ML methods (i.e., models in production for more than 2 years)
## 5783 I do not know
## 5784 We have well established ML methods (i.e., models in production for more than 2 years)
## 5785 <NA>
## 5786 We are exploring ML methods (and may one day put a model into production)
## 5787 <NA>
## 5788 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5789 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5790 <NA>
## 5791 We have well established ML methods (i.e., models in production for more than 2 years)
## 5792 <NA>
## 5793 <NA>
## 5794 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5795 We use ML methods for generating insights (but do not put working models into production)
## 5796 We use ML methods for generating insights (but do not put working models into production)
## 5797 <NA>
## 5798 We use ML methods for generating insights (but do not put working models into production)
## 5799 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5800 We are exploring ML methods (and may one day put a model into production)
## 5801 We use ML methods for generating insights (but do not put working models into production)
## 5802 <NA>
## 5803 <NA>
## 5804 We are exploring ML methods (and may one day put a model into production)
## 5805 We use ML methods for generating insights (but do not put working models into production)
## 5806 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5807 We have well established ML methods (i.e., models in production for more than 2 years)
## 5808 No (we do not use ML methods)
## 5809 We are exploring ML methods (and may one day put a model into production)
## 5810 We are exploring ML methods (and may one day put a model into production)
## 5811 I do not know
## 5812 <NA>
## 5813 We are exploring ML methods (and may one day put a model into production)
## 5814 We have well established ML methods (i.e., models in production for more than 2 years)
## 5815 We have well established ML methods (i.e., models in production for more than 2 years)
## 5816 We are exploring ML methods (and may one day put a model into production)
## 5817 We have well established ML methods (i.e., models in production for more than 2 years)
## 5818 We have well established ML methods (i.e., models in production for more than 2 years)
## 5819 <NA>
## 5820 We are exploring ML methods (and may one day put a model into production)
## 5821 We are exploring ML methods (and may one day put a model into production)
## 5822 We are exploring ML methods (and may one day put a model into production)
## 5823 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5824 We have well established ML methods (i.e., models in production for more than 2 years)
## 5825 I do not know
## 5826 We use ML methods for generating insights (but do not put working models into production)
## 5827 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5828 No (we do not use ML methods)
## 5829 No (we do not use ML methods)
## 5830 We are exploring ML methods (and may one day put a model into production)
## 5831 I do not know
## 5832 <NA>
## 5833 <NA>
## 5834 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5835 <NA>
## 5836 We have well established ML methods (i.e., models in production for more than 2 years)
## 5837 We are exploring ML methods (and may one day put a model into production)
## 5838 We are exploring ML methods (and may one day put a model into production)
## 5839 We are exploring ML methods (and may one day put a model into production)
## 5840 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5841 We use ML methods for generating insights (but do not put working models into production)
## 5842 We have well established ML methods (i.e., models in production for more than 2 years)
## 5843 We are exploring ML methods (and may one day put a model into production)
## 5844 I do not know
## 5845 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5846 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5847 We have well established ML methods (i.e., models in production for more than 2 years)
## 5848 <NA>
## 5849 I do not know
## 5850 <NA>
## 5851 <NA>
## 5852 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5853 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5854 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5855 <NA>
## 5856 <NA>
## 5857 No (we do not use ML methods)
## 5858 We use ML methods for generating insights (but do not put working models into production)
## 5859 <NA>
## 5860 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5861 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5862 I do not know
## 5863 We are exploring ML methods (and may one day put a model into production)
## 5864 I do not know
## 5865 <NA>
## 5866 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5867 <NA>
## 5868 We use ML methods for generating insights (but do not put working models into production)
## 5869 <NA>
## 5870 We have well established ML methods (i.e., models in production for more than 2 years)
## 5871 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5872 We are exploring ML methods (and may one day put a model into production)
## 5873 We use ML methods for generating insights (but do not put working models into production)
## 5874 <NA>
## 5875 We use ML methods for generating insights (but do not put working models into production)
## 5876 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5877 No (we do not use ML methods)
## 5878 We are exploring ML methods (and may one day put a model into production)
## 5879 We are exploring ML methods (and may one day put a model into production)
## 5880 We have well established ML methods (i.e., models in production for more than 2 years)
## 5881 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5882 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5883 We are exploring ML methods (and may one day put a model into production)
## 5884 We have well established ML methods (i.e., models in production for more than 2 years)
## 5885 We are exploring ML methods (and may one day put a model into production)
## 5886 <NA>
## 5887 We are exploring ML methods (and may one day put a model into production)
## 5888 We use ML methods for generating insights (but do not put working models into production)
## 5889 We are exploring ML methods (and may one day put a model into production)
## 5890 We use ML methods for generating insights (but do not put working models into production)
## 5891 We are exploring ML methods (and may one day put a model into production)
## 5892 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5893 We are exploring ML methods (and may one day put a model into production)
## 5894 We use ML methods for generating insights (but do not put working models into production)
## 5895 No (we do not use ML methods)
## 5896 <NA>
## 5897 <NA>
## 5898 We are exploring ML methods (and may one day put a model into production)
## 5899 <NA>
## 5900 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5901 We have well established ML methods (i.e., models in production for more than 2 years)
## 5902 We use ML methods for generating insights (but do not put working models into production)
## 5903 <NA>
## 5904 No (we do not use ML methods)
## 5905 <NA>
## 5906 We are exploring ML methods (and may one day put a model into production)
## 5907 We have well established ML methods (i.e., models in production for more than 2 years)
## 5908 We use ML methods for generating insights (but do not put working models into production)
## 5909 No (we do not use ML methods)
## 5910 We have well established ML methods (i.e., models in production for more than 2 years)
## 5911 No (we do not use ML methods)
## 5912 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5913 We use ML methods for generating insights (but do not put working models into production)
## 5914 We use ML methods for generating insights (but do not put working models into production)
## 5915 We have well established ML methods (i.e., models in production for more than 2 years)
## 5916 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5917 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5918 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5919 We are exploring ML methods (and may one day put a model into production)
## 5920 We have well established ML methods (i.e., models in production for more than 2 years)
## 5921 We are exploring ML methods (and may one day put a model into production)
## 5922 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5923 We are exploring ML methods (and may one day put a model into production)
## 5924 <NA>
## 5925 We are exploring ML methods (and may one day put a model into production)
## 5926 <NA>
## 5927 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5928 <NA>
## 5929 No (we do not use ML methods)
## 5930 We use ML methods for generating insights (but do not put working models into production)
## 5931 We have well established ML methods (i.e., models in production for more than 2 years)
## 5932 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5933 We are exploring ML methods (and may one day put a model into production)
## 5934 We have well established ML methods (i.e., models in production for more than 2 years)
## 5935 We use ML methods for generating insights (but do not put working models into production)
## 5936 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5937 We have well established ML methods (i.e., models in production for more than 2 years)
## 5938 We have well established ML methods (i.e., models in production for more than 2 years)
## 5939 <NA>
## 5940 We are exploring ML methods (and may one day put a model into production)
## 5941 <NA>
## 5942 We are exploring ML methods (and may one day put a model into production)
## 5943 I do not know
## 5944 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5945 <NA>
## 5946 We use ML methods for generating insights (but do not put working models into production)
## 5947 We have well established ML methods (i.e., models in production for more than 2 years)
## 5948 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5949 <NA>
## 5950 We have well established ML methods (i.e., models in production for more than 2 years)
## 5951 We have well established ML methods (i.e., models in production for more than 2 years)
## 5952 We have well established ML methods (i.e., models in production for more than 2 years)
## 5953 We have well established ML methods (i.e., models in production for more than 2 years)
## 5954 No (we do not use ML methods)
## 5955 I do not know
## 5956 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5957 We use ML methods for generating insights (but do not put working models into production)
## 5958 We have well established ML methods (i.e., models in production for more than 2 years)
## 5959 <NA>
## 5960 We use ML methods for generating insights (but do not put working models into production)
## 5961 We have well established ML methods (i.e., models in production for more than 2 years)
## 5962 We are exploring ML methods (and may one day put a model into production)
## 5963 We are exploring ML methods (and may one day put a model into production)
## 5964 No (we do not use ML methods)
## 5965 <NA>
## 5966 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5967 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5968 We have well established ML methods (i.e., models in production for more than 2 years)
## 5969 No (we do not use ML methods)
## 5970 We have well established ML methods (i.e., models in production for more than 2 years)
## 5971 We have well established ML methods (i.e., models in production for more than 2 years)
## 5972 No (we do not use ML methods)
## 5973 We are exploring ML methods (and may one day put a model into production)
## 5974 <NA>
## 5975 We use ML methods for generating insights (but do not put working models into production)
## 5976 We are exploring ML methods (and may one day put a model into production)
## 5977 No (we do not use ML methods)
## 5978 We have well established ML methods (i.e., models in production for more than 2 years)
## 5979 We have well established ML methods (i.e., models in production for more than 2 years)
## 5980 <NA>
## 5981 We are exploring ML methods (and may one day put a model into production)
## 5982 We have well established ML methods (i.e., models in production for more than 2 years)
## 5983 No (we do not use ML methods)
## 5984 We have well established ML methods (i.e., models in production for more than 2 years)
## 5985 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5986 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5987 No (we do not use ML methods)
## 5988 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5989 We have well established ML methods (i.e., models in production for more than 2 years)
## 5990 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5991 We are exploring ML methods (and may one day put a model into production)
## 5992 We use ML methods for generating insights (but do not put working models into production)
## 5993 <NA>
## 5994 No (we do not use ML methods)
## 5995 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5996 <NA>
## 5997 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5998 No (we do not use ML methods)
## 5999 <NA>
## 6000 <NA>
## 6001 <NA>
## 6002 We have well established ML methods (i.e., models in production for more than 2 years)
## 6003 <NA>
## 6004 We have well established ML methods (i.e., models in production for more than 2 years)
## 6005 No (we do not use ML methods)
## 6006 We have well established ML methods (i.e., models in production for more than 2 years)
## 6007 <NA>
## 6008 We have well established ML methods (i.e., models in production for more than 2 years)
## 6009 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6010 No (we do not use ML methods)
## 6011 We have well established ML methods (i.e., models in production for more than 2 years)
## 6012 No (we do not use ML methods)
## 6013 We have well established ML methods (i.e., models in production for more than 2 years)
## 6014 We have well established ML methods (i.e., models in production for more than 2 years)
## 6015 <NA>
## 6016 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6017 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6018 <NA>
## 6019 <NA>
## 6020 <NA>
## 6021 <NA>
## 6022 I do not know
## 6023 No (we do not use ML methods)
## 6024 I do not know
## 6025 We have well established ML methods (i.e., models in production for more than 2 years)
## 6026 <NA>
## 6027 We are exploring ML methods (and may one day put a model into production)
## 6028 We have well established ML methods (i.e., models in production for more than 2 years)
## 6029 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6030 We are exploring ML methods (and may one day put a model into production)
## 6031 We are exploring ML methods (and may one day put a model into production)
## 6032 <NA>
## 6033 I do not know
## 6034 <NA>
## 6035 We use ML methods for generating insights (but do not put working models into production)
## 6036 No (we do not use ML methods)
## 6037 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6038 <NA>
## 6039 We are exploring ML methods (and may one day put a model into production)
## 6040 <NA>
## 6041 <NA>
## 6042 No (we do not use ML methods)
## 6043 <NA>
## 6044 We have well established ML methods (i.e., models in production for more than 2 years)
## 6045 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6046 <NA>
## 6047 No (we do not use ML methods)
## 6048 We have well established ML methods (i.e., models in production for more than 2 years)
## 6049 We are exploring ML methods (and may one day put a model into production)
## 6050 No (we do not use ML methods)
## 6051 No (we do not use ML methods)
## 6052 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6053 No (we do not use ML methods)
## 6054 <NA>
## 6055 No (we do not use ML methods)
## 6056 <NA>
## 6057 We are exploring ML methods (and may one day put a model into production)
## 6058 I do not know
## 6059 We have well established ML methods (i.e., models in production for more than 2 years)
## 6060 No (we do not use ML methods)
## 6061 <NA>
## 6062 We have well established ML methods (i.e., models in production for more than 2 years)
## 6063 We use ML methods for generating insights (but do not put working models into production)
## 6064 We are exploring ML methods (and may one day put a model into production)
## 6065 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6066 We have well established ML methods (i.e., models in production for more than 2 years)
## 6067 We are exploring ML methods (and may one day put a model into production)
## 6068 I do not know
## 6069 <NA>
## 6070 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6071 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6072 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6073 <NA>
## 6074 We are exploring ML methods (and may one day put a model into production)
## 6075 <NA>
## 6076 <NA>
## 6077 We are exploring ML methods (and may one day put a model into production)
## 6078 <NA>
## 6079 We use ML methods for generating insights (but do not put working models into production)
## 6080 We have well established ML methods (i.e., models in production for more than 2 years)
## 6081 No (we do not use ML methods)
## 6082 We are exploring ML methods (and may one day put a model into production)
## 6083 <NA>
## 6084 We use ML methods for generating insights (but do not put working models into production)
## 6085 <NA>
## 6086 <NA>
## 6087 <NA>
## 6088 We are exploring ML methods (and may one day put a model into production)
## 6089 No (we do not use ML methods)
## 6090 No (we do not use ML methods)
## 6091 We use ML methods for generating insights (but do not put working models into production)
## 6092 <NA>
## 6093 <NA>
## 6094 We are exploring ML methods (and may one day put a model into production)
## 6095 I do not know
## 6096 We are exploring ML methods (and may one day put a model into production)
## 6097 No (we do not use ML methods)
## 6098 We are exploring ML methods (and may one day put a model into production)
## 6099 <NA>
## 6100 I do not know
## 6101 We have well established ML methods (i.e., models in production for more than 2 years)
## 6102 <NA>
## 6103 <NA>
## 6104 We have well established ML methods (i.e., models in production for more than 2 years)
## 6105 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6106 <NA>
## 6107 No (we do not use ML methods)
## 6108 <NA>
## 6109 I do not know
## 6110 No (we do not use ML methods)
## 6111 We have well established ML methods (i.e., models in production for more than 2 years)
## 6112 <NA>
## 6113 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6114 I do not know
## 6115 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6116 We are exploring ML methods (and may one day put a model into production)
## 6117 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6118 We have well established ML methods (i.e., models in production for more than 2 years)
## 6119 We have well established ML methods (i.e., models in production for more than 2 years)
## 6120 We are exploring ML methods (and may one day put a model into production)
## 6121 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6122 <NA>
## 6123 <NA>
## 6124 We are exploring ML methods (and may one day put a model into production)
## 6125 I do not know
## 6126 No (we do not use ML methods)
## 6127 We are exploring ML methods (and may one day put a model into production)
## 6128 We have well established ML methods (i.e., models in production for more than 2 years)
## 6129 We have well established ML methods (i.e., models in production for more than 2 years)
## 6130 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6131 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6132 <NA>
## 6133 No (we do not use ML methods)
## 6134 We are exploring ML methods (and may one day put a model into production)
## 6135 We have well established ML methods (i.e., models in production for more than 2 years)
## 6136 <NA>
## 6137 We have well established ML methods (i.e., models in production for more than 2 years)
## 6138 <NA>
## 6139 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6140 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6141 We have well established ML methods (i.e., models in production for more than 2 years)
## 6142 We are exploring ML methods (and may one day put a model into production)
## 6143 No (we do not use ML methods)
## 6144 We are exploring ML methods (and may one day put a model into production)
## 6145 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6146 We have well established ML methods (i.e., models in production for more than 2 years)
## 6147 No (we do not use ML methods)
## 6148 No (we do not use ML methods)
## 6149 <NA>
## 6150 No (we do not use ML methods)
## 6151 We have well established ML methods (i.e., models in production for more than 2 years)
## 6152 No (we do not use ML methods)
## 6153 We have well established ML methods (i.e., models in production for more than 2 years)
## 6154 We are exploring ML methods (and may one day put a model into production)
## 6155 We are exploring ML methods (and may one day put a model into production)
## 6156 We have well established ML methods (i.e., models in production for more than 2 years)
## 6157 We are exploring ML methods (and may one day put a model into production)
## 6158 No (we do not use ML methods)
## 6159 I do not know
## 6160 We have well established ML methods (i.e., models in production for more than 2 years)
## 6161 <NA>
## 6162 <NA>
## 6163 <NA>
## 6164 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6165 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6166 No (we do not use ML methods)
## 6167 We use ML methods for generating insights (but do not put working models into production)
## 6168 No (we do not use ML methods)
## 6169 <NA>
## 6170 We use ML methods for generating insights (but do not put working models into production)
## 6171 I do not know
## 6172 No (we do not use ML methods)
## 6173 We are exploring ML methods (and may one day put a model into production)
## 6174 We are exploring ML methods (and may one day put a model into production)
## 6175 I do not know
## 6176 <NA>
## 6177 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6178 We are exploring ML methods (and may one day put a model into production)
## 6179 <NA>
## 6180 <NA>
## 6181 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6182 We are exploring ML methods (and may one day put a model into production)
## 6183 We have well established ML methods (i.e., models in production for more than 2 years)
## 6184 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6185 We have well established ML methods (i.e., models in production for more than 2 years)
## 6186 No (we do not use ML methods)
## 6187 We have well established ML methods (i.e., models in production for more than 2 years)
## 6188 <NA>
## 6189 <NA>
## 6190 We use ML methods for generating insights (but do not put working models into production)
## 6191 No (we do not use ML methods)
## 6192 We are exploring ML methods (and may one day put a model into production)
## 6193 We use ML methods for generating insights (but do not put working models into production)
## 6194 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6195 No (we do not use ML methods)
## 6196 No (we do not use ML methods)
## 6197 We are exploring ML methods (and may one day put a model into production)
## 6198 We are exploring ML methods (and may one day put a model into production)
## 6199 We have well established ML methods (i.e., models in production for more than 2 years)
## 6200 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6201 <NA>
## 6202 We have well established ML methods (i.e., models in production for more than 2 years)
## 6203 We have well established ML methods (i.e., models in production for more than 2 years)
## 6204 We use ML methods for generating insights (but do not put working models into production)
## 6205 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6206 <NA>
## 6207 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6208 We are exploring ML methods (and may one day put a model into production)
## 6209 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6210 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6211 No (we do not use ML methods)
## 6212 We use ML methods for generating insights (but do not put working models into production)
## 6213 We are exploring ML methods (and may one day put a model into production)
## 6214 No (we do not use ML methods)
## 6215 No (we do not use ML methods)
## 6216 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6217 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6218 No (we do not use ML methods)
## 6219 <NA>
## 6220 We are exploring ML methods (and may one day put a model into production)
## 6221 We are exploring ML methods (and may one day put a model into production)
## 6222 No (we do not use ML methods)
## 6223 No (we do not use ML methods)
## 6224 I do not know
## 6225 I do not know
## 6226 We have well established ML methods (i.e., models in production for more than 2 years)
## 6227 We have well established ML methods (i.e., models in production for more than 2 years)
## 6228 <NA>
## 6229 We have well established ML methods (i.e., models in production for more than 2 years)
## 6230 We are exploring ML methods (and may one day put a model into production)
## 6231 <NA>
## 6232 We use ML methods for generating insights (but do not put working models into production)
## 6233 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6234 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6235 We are exploring ML methods (and may one day put a model into production)
## 6236 We have well established ML methods (i.e., models in production for more than 2 years)
## 6237 No (we do not use ML methods)
## 6238 We have well established ML methods (i.e., models in production for more than 2 years)
## 6239 We are exploring ML methods (and may one day put a model into production)
## 6240 We have well established ML methods (i.e., models in production for more than 2 years)
## 6241 <NA>
## 6242 We are exploring ML methods (and may one day put a model into production)
## 6243 <NA>
## 6244 <NA>
## 6245 I do not know
## 6246 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6247 <NA>
## 6248 We have well established ML methods (i.e., models in production for more than 2 years)
## 6249 No (we do not use ML methods)
## 6250 We use ML methods for generating insights (but do not put working models into production)
## 6251 We have well established ML methods (i.e., models in production for more than 2 years)
## 6252 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6253 We have well established ML methods (i.e., models in production for more than 2 years)
## 6254 We have well established ML methods (i.e., models in production for more than 2 years)
## 6255 We use ML methods for generating insights (but do not put working models into production)
## 6256 We have well established ML methods (i.e., models in production for more than 2 years)
## 6257 <NA>
## 6258 No (we do not use ML methods)
## 6259 We have well established ML methods (i.e., models in production for more than 2 years)
## 6260 We are exploring ML methods (and may one day put a model into production)
## 6261 We use ML methods for generating insights (but do not put working models into production)
## 6262 We have well established ML methods (i.e., models in production for more than 2 years)
## 6263 We have well established ML methods (i.e., models in production for more than 2 years)
## 6264 <NA>
## 6265 We have well established ML methods (i.e., models in production for more than 2 years)
## 6266 We have well established ML methods (i.e., models in production for more than 2 years)
## 6267 We have well established ML methods (i.e., models in production for more than 2 years)
## 6268 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6269 <NA>
## 6270 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6271 <NA>
## 6272 <NA>
## 6273 I do not know
## 6274 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6275 I do not know
## 6276 We use ML methods for generating insights (but do not put working models into production)
## 6277 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6278 We have well established ML methods (i.e., models in production for more than 2 years)
## 6279 No (we do not use ML methods)
## 6280 <NA>
## 6281 We are exploring ML methods (and may one day put a model into production)
## 6282 No (we do not use ML methods)
## 6283 No (we do not use ML methods)
## 6284 We have well established ML methods (i.e., models in production for more than 2 years)
## 6285 <NA>
## 6286 I do not know
## 6287 We are exploring ML methods (and may one day put a model into production)
## 6288 We are exploring ML methods (and may one day put a model into production)
## 6289 <NA>
## 6290 We have well established ML methods (i.e., models in production for more than 2 years)
## 6291 <NA>
## 6292 We have well established ML methods (i.e., models in production for more than 2 years)
## 6293 No (we do not use ML methods)
## 6294 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6295 <NA>
## 6296 <NA>
## 6297 <NA>
## 6298 We have well established ML methods (i.e., models in production for more than 2 years)
## 6299 We are exploring ML methods (and may one day put a model into production)
## 6300 I do not know
## 6301 We have well established ML methods (i.e., models in production for more than 2 years)
## 6302 We have well established ML methods (i.e., models in production for more than 2 years)
## 6303 <NA>
## 6304 I do not know
## 6305 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6306 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6307 <NA>
## 6308 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6309 We are exploring ML methods (and may one day put a model into production)
## 6310 I do not know
## 6311 <NA>
## 6312 <NA>
## 6313 I do not know
## 6314 No (we do not use ML methods)
## 6315 <NA>
## 6316 We have well established ML methods (i.e., models in production for more than 2 years)
## 6317 No (we do not use ML methods)
## 6318 We have well established ML methods (i.e., models in production for more than 2 years)
## 6319 We have well established ML methods (i.e., models in production for more than 2 years)
## 6320 We use ML methods for generating insights (but do not put working models into production)
## 6321 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6322 We have well established ML methods (i.e., models in production for more than 2 years)
## 6323 We are exploring ML methods (and may one day put a model into production)
## 6324 We are exploring ML methods (and may one day put a model into production)
## 6325 We use ML methods for generating insights (but do not put working models into production)
## 6326 <NA>
## 6327 We use ML methods for generating insights (but do not put working models into production)
## 6328 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6329 We use ML methods for generating insights (but do not put working models into production)
## 6330 We are exploring ML methods (and may one day put a model into production)
## 6331 <NA>
## 6332 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6333 <NA>
## 6334 I do not know
## 6335 We have well established ML methods (i.e., models in production for more than 2 years)
## 6336 I do not know
## 6337 We are exploring ML methods (and may one day put a model into production)
## 6338 <NA>
## 6339 No (we do not use ML methods)
## 6340 We have well established ML methods (i.e., models in production for more than 2 years)
## 6341 No (we do not use ML methods)
## 6342 No (we do not use ML methods)
## 6343 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6344 We use ML methods for generating insights (but do not put working models into production)
## 6345 We have well established ML methods (i.e., models in production for more than 2 years)
## 6346 No (we do not use ML methods)
## 6347 <NA>
## 6348 No (we do not use ML methods)
## 6349 We use ML methods for generating insights (but do not put working models into production)
## 6350 <NA>
## 6351 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6352 We are exploring ML methods (and may one day put a model into production)
## 6353 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6354 We have well established ML methods (i.e., models in production for more than 2 years)
## 6355 I do not know
## 6356 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6357 We are exploring ML methods (and may one day put a model into production)
## 6358 No (we do not use ML methods)
## 6359 <NA>
## 6360 We have well established ML methods (i.e., models in production for more than 2 years)
## 6361 We have well established ML methods (i.e., models in production for more than 2 years)
## 6362 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6363 No (we do not use ML methods)
## 6364 We have well established ML methods (i.e., models in production for more than 2 years)
## 6365 <NA>
## 6366 <NA>
## 6367 No (we do not use ML methods)
## 6368 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6369 We have well established ML methods (i.e., models in production for more than 2 years)
## 6370 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6371 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6372 We use ML methods for generating insights (but do not put working models into production)
## 6373 No (we do not use ML methods)
## 6374 I do not know
## 6375 No (we do not use ML methods)
## 6376 We have well established ML methods (i.e., models in production for more than 2 years)
## 6377 We have well established ML methods (i.e., models in production for more than 2 years)
## 6378 No (we do not use ML methods)
## 6379 We are exploring ML methods (and may one day put a model into production)
## 6380 I do not know
## 6381 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6382 <NA>
## 6383 No (we do not use ML methods)
## 6384 We are exploring ML methods (and may one day put a model into production)
## 6385 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6386 We are exploring ML methods (and may one day put a model into production)
## 6387 We have well established ML methods (i.e., models in production for more than 2 years)
## 6388 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6389 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6390 <NA>
## 6391 We use ML methods for generating insights (but do not put working models into production)
## 6392 We are exploring ML methods (and may one day put a model into production)
## 6393 We have well established ML methods (i.e., models in production for more than 2 years)
## 6394 No (we do not use ML methods)
## 6395 We have well established ML methods (i.e., models in production for more than 2 years)
## 6396 We have well established ML methods (i.e., models in production for more than 2 years)
## 6397 We are exploring ML methods (and may one day put a model into production)
## 6398 <NA>
## 6399 <NA>
## 6400 <NA>
## 6401 We are exploring ML methods (and may one day put a model into production)
## 6402 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6403 No (we do not use ML methods)
## 6404 No (we do not use ML methods)
## 6405 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6406 I do not know
## 6407 We are exploring ML methods (and may one day put a model into production)
## 6408 We are exploring ML methods (and may one day put a model into production)
## 6409 <NA>
## 6410 <NA>
## 6411 We are exploring ML methods (and may one day put a model into production)
## 6412 I do not know
## 6413 We use ML methods for generating insights (but do not put working models into production)
## 6414 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6415 We are exploring ML methods (and may one day put a model into production)
## 6416 No (we do not use ML methods)
## 6417 <NA>
## 6418 We use ML methods for generating insights (but do not put working models into production)
## 6419 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6420 We have well established ML methods (i.e., models in production for more than 2 years)
## 6421 We use ML methods for generating insights (but do not put working models into production)
## 6422 We are exploring ML methods (and may one day put a model into production)
## 6423 No (we do not use ML methods)
## 6424 <NA>
## 6425 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6426 No (we do not use ML methods)
## 6427 No (we do not use ML methods)
## 6428 No (we do not use ML methods)
## 6429 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6430 I do not know
## 6431 <NA>
## 6432 We are exploring ML methods (and may one day put a model into production)
## 6433 We use ML methods for generating insights (but do not put working models into production)
## 6434 We use ML methods for generating insights (but do not put working models into production)
## 6435 No (we do not use ML methods)
## 6436 <NA>
## 6437 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6438 We have well established ML methods (i.e., models in production for more than 2 years)
## 6439 We are exploring ML methods (and may one day put a model into production)
## 6440 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6441 <NA>
## 6442 No (we do not use ML methods)
## 6443 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6444 We have well established ML methods (i.e., models in production for more than 2 years)
## 6445 We have well established ML methods (i.e., models in production for more than 2 years)
## 6446 No (we do not use ML methods)
## 6447 I do not know
## 6448 We have well established ML methods (i.e., models in production for more than 2 years)
## 6449 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6450 I do not know
## 6451 <NA>
## 6452 <NA>
## 6453 We have well established ML methods (i.e., models in production for more than 2 years)
## 6454 <NA>
## 6455 <NA>
## 6456 <NA>
## 6457 No (we do not use ML methods)
## 6458 <NA>
## 6459 <NA>
## 6460 <NA>
## 6461 I do not know
## 6462 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6463 <NA>
## 6464 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6465 <NA>
## 6466 I do not know
## 6467 No (we do not use ML methods)
## 6468 We have well established ML methods (i.e., models in production for more than 2 years)
## 6469 We are exploring ML methods (and may one day put a model into production)
## 6470 We use ML methods for generating insights (but do not put working models into production)
## 6471 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6472 <NA>
## 6473 No (we do not use ML methods)
## 6474 <NA>
## 6475 We have well established ML methods (i.e., models in production for more than 2 years)
## 6476 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6477 We use ML methods for generating insights (but do not put working models into production)
## 6478 We have well established ML methods (i.e., models in production for more than 2 years)
## 6479 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6480 <NA>
## 6481 We use ML methods for generating insights (but do not put working models into production)
## 6482 We are exploring ML methods (and may one day put a model into production)
## 6483 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6484 We have well established ML methods (i.e., models in production for more than 2 years)
## 6485 We use ML methods for generating insights (but do not put working models into production)
## 6486 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6487 <NA>
## 6488 We have well established ML methods (i.e., models in production for more than 2 years)
## 6489 No (we do not use ML methods)
## 6490 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6491 We use ML methods for generating insights (but do not put working models into production)
## 6492 We have well established ML methods (i.e., models in production for more than 2 years)
## 6493 No (we do not use ML methods)
## 6494 No (we do not use ML methods)
## 6495 <NA>
## 6496 <NA>
## 6497 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6498 <NA>
## 6499 No (we do not use ML methods)
## 6500 <NA>
## 6501 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6502 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6503 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6504 <NA>
## 6505 We are exploring ML methods (and may one day put a model into production)
## 6506 We have well established ML methods (i.e., models in production for more than 2 years)
## 6507 We are exploring ML methods (and may one day put a model into production)
## 6508 <NA>
## 6509 We are exploring ML methods (and may one day put a model into production)
## 6510 No (we do not use ML methods)
## 6511 We have well established ML methods (i.e., models in production for more than 2 years)
## 6512 No (we do not use ML methods)
## 6513 We use ML methods for generating insights (but do not put working models into production)
## 6514 We use ML methods for generating insights (but do not put working models into production)
## 6515 No (we do not use ML methods)
## 6516 <NA>
## 6517 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6518 We have well established ML methods (i.e., models in production for more than 2 years)
## 6519 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6520 <NA>
## 6521 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6522 We have well established ML methods (i.e., models in production for more than 2 years)
## 6523 We use ML methods for generating insights (but do not put working models into production)
## 6524 We are exploring ML methods (and may one day put a model into production)
## 6525 <NA>
## 6526 We have well established ML methods (i.e., models in production for more than 2 years)
## 6527 I do not know
## 6528 We are exploring ML methods (and may one day put a model into production)
## 6529 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6530 We use ML methods for generating insights (but do not put working models into production)
## 6531 We have well established ML methods (i.e., models in production for more than 2 years)
## 6532 <NA>
## 6533 We use ML methods for generating insights (but do not put working models into production)
## 6534 <NA>
## 6535 We have well established ML methods (i.e., models in production for more than 2 years)
## 6536 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6537 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6538 We have well established ML methods (i.e., models in production for more than 2 years)
## 6539 <NA>
## 6540 We use ML methods for generating insights (but do not put working models into production)
## 6541 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6542 <NA>
## 6543 No (we do not use ML methods)
## 6544 We have well established ML methods (i.e., models in production for more than 2 years)
## 6545 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6546 I do not know
## 6547 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6548 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6549 We use ML methods for generating insights (but do not put working models into production)
## 6550 <NA>
## 6551 No (we do not use ML methods)
## 6552 We are exploring ML methods (and may one day put a model into production)
## 6553 I do not know
## 6554 We are exploring ML methods (and may one day put a model into production)
## 6555 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6556 We are exploring ML methods (and may one day put a model into production)
## 6557 <NA>
## 6558 No (we do not use ML methods)
## 6559 We use ML methods for generating insights (but do not put working models into production)
## 6560 <NA>
## 6561 No (we do not use ML methods)
## 6562 We have well established ML methods (i.e., models in production for more than 2 years)
## 6563 We are exploring ML methods (and may one day put a model into production)
## 6564 I do not know
## 6565 We are exploring ML methods (and may one day put a model into production)
## 6566 <NA>
## 6567 I do not know
## 6568 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6569 We have well established ML methods (i.e., models in production for more than 2 years)
## 6570 <NA>
## 6571 No (we do not use ML methods)
## 6572 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6573 <NA>
## 6574 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6575 We are exploring ML methods (and may one day put a model into production)
## 6576 We use ML methods for generating insights (but do not put working models into production)
## 6577 We have well established ML methods (i.e., models in production for more than 2 years)
## 6578 <NA>
## 6579 We are exploring ML methods (and may one day put a model into production)
## 6580 No (we do not use ML methods)
## 6581 <NA>
## 6582 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6583 We are exploring ML methods (and may one day put a model into production)
## 6584 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6585 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6586 We are exploring ML methods (and may one day put a model into production)
## 6587 No (we do not use ML methods)
## 6588 No (we do not use ML methods)
## 6589 No (we do not use ML methods)
## 6590 No (we do not use ML methods)
## 6591 We have well established ML methods (i.e., models in production for more than 2 years)
## 6592 No (we do not use ML methods)
## 6593 <NA>
## 6594 We use ML methods for generating insights (but do not put working models into production)
## 6595 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6596 <NA>
## 6597 I do not know
## 6598 We are exploring ML methods (and may one day put a model into production)
## 6599 We have well established ML methods (i.e., models in production for more than 2 years)
## 6600 I do not know
## 6601 <NA>
## 6602 We have well established ML methods (i.e., models in production for more than 2 years)
## 6603 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6604 We have well established ML methods (i.e., models in production for more than 2 years)
## 6605 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6606 No (we do not use ML methods)
## 6607 We have well established ML methods (i.e., models in production for more than 2 years)
## 6608 No (we do not use ML methods)
## 6609 No (we do not use ML methods)
## 6610 We have well established ML methods (i.e., models in production for more than 2 years)
## 6611 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6612 We have well established ML methods (i.e., models in production for more than 2 years)
## 6613 <NA>
## 6614 We have well established ML methods (i.e., models in production for more than 2 years)
## 6615 We are exploring ML methods (and may one day put a model into production)
## 6616 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6617 I do not know
## 6618 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6619 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6620 We are exploring ML methods (and may one day put a model into production)
## 6621 We have well established ML methods (i.e., models in production for more than 2 years)
## 6622 I do not know
## 6623 No (we do not use ML methods)
## 6624 We use ML methods for generating insights (but do not put working models into production)
## 6625 <NA>
## 6626 We have well established ML methods (i.e., models in production for more than 2 years)
## 6627 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6628 We are exploring ML methods (and may one day put a model into production)
## 6629 <NA>
## 6630 <NA>
## 6631 We are exploring ML methods (and may one day put a model into production)
## 6632 We are exploring ML methods (and may one day put a model into production)
## 6633 We are exploring ML methods (and may one day put a model into production)
## 6634 No (we do not use ML methods)
## 6635 We are exploring ML methods (and may one day put a model into production)
## 6636 We are exploring ML methods (and may one day put a model into production)
## 6637 We are exploring ML methods (and may one day put a model into production)
## 6638 No (we do not use ML methods)
## 6639 We are exploring ML methods (and may one day put a model into production)
## 6640 <NA>
## 6641 We have well established ML methods (i.e., models in production for more than 2 years)
## 6642 We are exploring ML methods (and may one day put a model into production)
## 6643 No (we do not use ML methods)
## 6644 We are exploring ML methods (and may one day put a model into production)
## 6645 We have well established ML methods (i.e., models in production for more than 2 years)
## 6646 We use ML methods for generating insights (but do not put working models into production)
## 6647 We are exploring ML methods (and may one day put a model into production)
## 6648 <NA>
## 6649 We are exploring ML methods (and may one day put a model into production)
## 6650 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6651 We are exploring ML methods (and may one day put a model into production)
## 6652 We are exploring ML methods (and may one day put a model into production)
## 6653 No (we do not use ML methods)
## 6654 We use ML methods for generating insights (but do not put working models into production)
## 6655 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6656 <NA>
## 6657 <NA>
## 6658 No (we do not use ML methods)
## 6659 We are exploring ML methods (and may one day put a model into production)
## 6660 No (we do not use ML methods)
## 6661 <NA>
## 6662 We have well established ML methods (i.e., models in production for more than 2 years)
## 6663 We have well established ML methods (i.e., models in production for more than 2 years)
## 6664 We have well established ML methods (i.e., models in production for more than 2 years)
## 6665 No (we do not use ML methods)
## 6666 We are exploring ML methods (and may one day put a model into production)
## 6667 <NA>
## 6668 No (we do not use ML methods)
## 6669 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6670 We are exploring ML methods (and may one day put a model into production)
## 6671 No (we do not use ML methods)
## 6672 We are exploring ML methods (and may one day put a model into production)
## 6673 <NA>
## 6674 <NA>
## 6675 I do not know
## 6676 <NA>
## 6677 <NA>
## 6678 We use ML methods for generating insights (but do not put working models into production)
## 6679 I do not know
## 6680 No (we do not use ML methods)
## 6681 <NA>
## 6682 I do not know
## 6683 <NA>
## 6684 We use ML methods for generating insights (but do not put working models into production)
## 6685 <NA>
## 6686 I do not know
## 6687 We use ML methods for generating insights (but do not put working models into production)
## 6688 We have well established ML methods (i.e., models in production for more than 2 years)
## 6689 We use ML methods for generating insights (but do not put working models into production)
## 6690 <NA>
## 6691 No (we do not use ML methods)
## 6692 We have well established ML methods (i.e., models in production for more than 2 years)
## 6693 We are exploring ML methods (and may one day put a model into production)
## 6694 <NA>
## 6695 We are exploring ML methods (and may one day put a model into production)
## 6696 We have well established ML methods (i.e., models in production for more than 2 years)
## 6697 No (we do not use ML methods)
## 6698 We have well established ML methods (i.e., models in production for more than 2 years)
## 6699 We have well established ML methods (i.e., models in production for more than 2 years)
## 6700 We have well established ML methods (i.e., models in production for more than 2 years)
## 6701 We have well established ML methods (i.e., models in production for more than 2 years)
## 6702 <NA>
## 6703 <NA>
## 6704 We are exploring ML methods (and may one day put a model into production)
## 6705 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6706 I do not know
## 6707 We use ML methods for generating insights (but do not put working models into production)
## 6708 <NA>
## 6709 We are exploring ML methods (and may one day put a model into production)
## 6710 <NA>
## 6711 We use ML methods for generating insights (but do not put working models into production)
## 6712 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6713 <NA>
## 6714 We are exploring ML methods (and may one day put a model into production)
## 6715 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6716 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6717 We have well established ML methods (i.e., models in production for more than 2 years)
## 6718 <NA>
## 6719 <NA>
## 6720 We have well established ML methods (i.e., models in production for more than 2 years)
## 6721 No (we do not use ML methods)
## 6722 No (we do not use ML methods)
## 6723 We are exploring ML methods (and may one day put a model into production)
## 6724 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6725 I do not know
## 6726 No (we do not use ML methods)
## 6727 <NA>
## 6728 No (we do not use ML methods)
## 6729 <NA>
## 6730 <NA>
## 6731 No (we do not use ML methods)
## 6732 We use ML methods for generating insights (but do not put working models into production)
## 6733 <NA>
## 6734 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6735 <NA>
## 6736 No (we do not use ML methods)
## 6737 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6738 <NA>
## 6739 <NA>
## 6740 We are exploring ML methods (and may one day put a model into production)
## 6741 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6742 We have well established ML methods (i.e., models in production for more than 2 years)
## 6743 We use ML methods for generating insights (but do not put working models into production)
## 6744 We have well established ML methods (i.e., models in production for more than 2 years)
## 6745 No (we do not use ML methods)
## 6746 We use ML methods for generating insights (but do not put working models into production)
## 6747 We are exploring ML methods (and may one day put a model into production)
## 6748 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6749 No (we do not use ML methods)
## 6750 No (we do not use ML methods)
## 6751 We are exploring ML methods (and may one day put a model into production)
## 6752 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6753 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6754 We are exploring ML methods (and may one day put a model into production)
## 6755 I do not know
## 6756 We use ML methods for generating insights (but do not put working models into production)
## 6757 <NA>
## 6758 We use ML methods for generating insights (but do not put working models into production)
## 6759 We use ML methods for generating insights (but do not put working models into production)
## 6760 We are exploring ML methods (and may one day put a model into production)
## 6761 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6762 We are exploring ML methods (and may one day put a model into production)
## 6763 <NA>
## 6764 No (we do not use ML methods)
## 6765 We are exploring ML methods (and may one day put a model into production)
## 6766 No (we do not use ML methods)
## 6767 <NA>
## 6768 I do not know
## 6769 No (we do not use ML methods)
## 6770 We have well established ML methods (i.e., models in production for more than 2 years)
## 6771 No (we do not use ML methods)
## 6772 We have well established ML methods (i.e., models in production for more than 2 years)
## 6773 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6774 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6775 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6776 <NA>
## 6777 We have well established ML methods (i.e., models in production for more than 2 years)
## 6778 No (we do not use ML methods)
## 6779 We are exploring ML methods (and may one day put a model into production)
## 6780 We are exploring ML methods (and may one day put a model into production)
## 6781 <NA>
## 6782 We are exploring ML methods (and may one day put a model into production)
## 6783 <NA>
## 6784 <NA>
## 6785 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6786 I do not know
## 6787 <NA>
## 6788 We have well established ML methods (i.e., models in production for more than 2 years)
## 6789 <NA>
## 6790 <NA>
## 6791 I do not know
## 6792 <NA>
## 6793 We have well established ML methods (i.e., models in production for more than 2 years)
## 6794 We are exploring ML methods (and may one day put a model into production)
## 6795 We have well established ML methods (i.e., models in production for more than 2 years)
## 6796 <NA>
## 6797 <NA>
## 6798 We are exploring ML methods (and may one day put a model into production)
## 6799 No (we do not use ML methods)
## 6800 We have well established ML methods (i.e., models in production for more than 2 years)
## 6801 We are exploring ML methods (and may one day put a model into production)
## 6802 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6803 We have well established ML methods (i.e., models in production for more than 2 years)
## 6804 No (we do not use ML methods)
## 6805 We use ML methods for generating insights (but do not put working models into production)
## 6806 We have well established ML methods (i.e., models in production for more than 2 years)
## 6807 No (we do not use ML methods)
## 6808 <NA>
## 6809 No (we do not use ML methods)
## 6810 <NA>
## 6811 No (we do not use ML methods)
## 6812 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6813 We have well established ML methods (i.e., models in production for more than 2 years)
## 6814 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6815 <NA>
## 6816 We have well established ML methods (i.e., models in production for more than 2 years)
## 6817 We use ML methods for generating insights (but do not put working models into production)
## 6818 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6819 We are exploring ML methods (and may one day put a model into production)
## 6820 We use ML methods for generating insights (but do not put working models into production)
## 6821 We are exploring ML methods (and may one day put a model into production)
## 6822 No (we do not use ML methods)
## 6823 We have well established ML methods (i.e., models in production for more than 2 years)
## 6824 We have well established ML methods (i.e., models in production for more than 2 years)
## 6825 <NA>
## 6826 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6827 I do not know
## 6828 <NA>
## 6829 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6830 We have well established ML methods (i.e., models in production for more than 2 years)
## 6831 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6832 We are exploring ML methods (and may one day put a model into production)
## 6833 <NA>
## 6834 I do not know
## 6835 I do not know
## 6836 I do not know
## 6837 No (we do not use ML methods)
## 6838 We use ML methods for generating insights (but do not put working models into production)
## 6839 We have well established ML methods (i.e., models in production for more than 2 years)
## 6840 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6841 No (we do not use ML methods)
## 6842 We are exploring ML methods (and may one day put a model into production)
## 6843 <NA>
## 6844 We have well established ML methods (i.e., models in production for more than 2 years)
## 6845 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6846 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6847 <NA>
## 6848 No (we do not use ML methods)
## 6849 We are exploring ML methods (and may one day put a model into production)
## 6850 We use ML methods for generating insights (but do not put working models into production)
## 6851 We are exploring ML methods (and may one day put a model into production)
## 6852 We have well established ML methods (i.e., models in production for more than 2 years)
## 6853 <NA>
## 6854 <NA>
## 6855 <NA>
## 6856 <NA>
## 6857 <NA>
## 6858 We use ML methods for generating insights (but do not put working models into production)
## 6859 We have well established ML methods (i.e., models in production for more than 2 years)
## 6860 <NA>
## 6861 We are exploring ML methods (and may one day put a model into production)
## 6862 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6863 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6864 <NA>
## 6865 We have well established ML methods (i.e., models in production for more than 2 years)
## 6866 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6867 <NA>
## 6868 We are exploring ML methods (and may one day put a model into production)
## 6869 We are exploring ML methods (and may one day put a model into production)
## 6870 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6871 <NA>
## 6872 We have well established ML methods (i.e., models in production for more than 2 years)
## 6873 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6874 <NA>
## 6875 <NA>
## 6876 No (we do not use ML methods)
## 6877 <NA>
## 6878 <NA>
## 6879 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6880 No (we do not use ML methods)
## 6881 <NA>
## 6882 No (we do not use ML methods)
## 6883 <NA>
## 6884 <NA>
## 6885 We are exploring ML methods (and may one day put a model into production)
## 6886 We have well established ML methods (i.e., models in production for more than 2 years)
## 6887 No (we do not use ML methods)
## 6888 We are exploring ML methods (and may one day put a model into production)
## 6889 We use ML methods for generating insights (but do not put working models into production)
## 6890 No (we do not use ML methods)
## 6891 We have well established ML methods (i.e., models in production for more than 2 years)
## 6892 No (we do not use ML methods)
## 6893 No (we do not use ML methods)
## 6894 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6895 No (we do not use ML methods)
## 6896 We have well established ML methods (i.e., models in production for more than 2 years)
## 6897 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6898 No (we do not use ML methods)
## 6899 We have well established ML methods (i.e., models in production for more than 2 years)
## 6900 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6901 We use ML methods for generating insights (but do not put working models into production)
## 6902 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6903 We have well established ML methods (i.e., models in production for more than 2 years)
## 6904 We use ML methods for generating insights (but do not put working models into production)
## 6905 We have well established ML methods (i.e., models in production for more than 2 years)
## 6906 I do not know
## 6907 <NA>
## 6908 No (we do not use ML methods)
## 6909 <NA>
## 6910 We have well established ML methods (i.e., models in production for more than 2 years)
## 6911 No (we do not use ML methods)
## 6912 We have well established ML methods (i.e., models in production for more than 2 years)
## 6913 We have well established ML methods (i.e., models in production for more than 2 years)
## 6914 We are exploring ML methods (and may one day put a model into production)
## 6915 We are exploring ML methods (and may one day put a model into production)
## 6916 No (we do not use ML methods)
## 6917 <NA>
## 6918 <NA>
## 6919 <NA>
## 6920 <NA>
## 6921 <NA>
## 6922 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6923 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6924 <NA>
## 6925 <NA>
## 6926 We use ML methods for generating insights (but do not put working models into production)
## 6927 We are exploring ML methods (and may one day put a model into production)
## 6928 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6929 <NA>
## 6930 No (we do not use ML methods)
## 6931 We are exploring ML methods (and may one day put a model into production)
## 6932 <NA>
## 6933 <NA>
## 6934 We use ML methods for generating insights (but do not put working models into production)
## 6935 We have well established ML methods (i.e., models in production for more than 2 years)
## 6936 <NA>
## 6937 We have well established ML methods (i.e., models in production for more than 2 years)
## 6938 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6939 <NA>
## 6940 We use ML methods for generating insights (but do not put working models into production)
## 6941 No (we do not use ML methods)
## 6942 I do not know
## 6943 We have well established ML methods (i.e., models in production for more than 2 years)
## 6944 I do not know
## 6945 We use ML methods for generating insights (but do not put working models into production)
## 6946 <NA>
## 6947 We use ML methods for generating insights (but do not put working models into production)
## 6948 No (we do not use ML methods)
## 6949 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6950 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6951 We use ML methods for generating insights (but do not put working models into production)
## 6952 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6953 <NA>
## 6954 We are exploring ML methods (and may one day put a model into production)
## 6955 We are exploring ML methods (and may one day put a model into production)
## 6956 <NA>
## 6957 <NA>
## 6958 <NA>
## 6959 <NA>
## 6960 We are exploring ML methods (and may one day put a model into production)
## 6961 No (we do not use ML methods)
## 6962 No (we do not use ML methods)
## 6963 <NA>
## 6964 No (we do not use ML methods)
## 6965 We are exploring ML methods (and may one day put a model into production)
## 6966 We are exploring ML methods (and may one day put a model into production)
## 6967 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6968 <NA>
## 6969 <NA>
## 6970 No (we do not use ML methods)
## 6971 We use ML methods for generating insights (but do not put working models into production)
## 6972 No (we do not use ML methods)
## 6973 We have well established ML methods (i.e., models in production for more than 2 years)
## 6974 No (we do not use ML methods)
## 6975 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6976 We are exploring ML methods (and may one day put a model into production)
## 6977 We are exploring ML methods (and may one day put a model into production)
## 6978 We use ML methods for generating insights (but do not put working models into production)
## 6979 We use ML methods for generating insights (but do not put working models into production)
## 6980 We use ML methods for generating insights (but do not put working models into production)
## 6981 We have well established ML methods (i.e., models in production for more than 2 years)
## 6982 No (we do not use ML methods)
## 6983 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6984 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6985 I do not know
## 6986 We are exploring ML methods (and may one day put a model into production)
## 6987 We use ML methods for generating insights (but do not put working models into production)
## 6988 <NA>
## 6989 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6990 We are exploring ML methods (and may one day put a model into production)
## 6991 <NA>
## 6992 <NA>
## 6993 No (we do not use ML methods)
## 6994 We have well established ML methods (i.e., models in production for more than 2 years)
## 6995 We have well established ML methods (i.e., models in production for more than 2 years)
## 6996 <NA>
## 6997 We have well established ML methods (i.e., models in production for more than 2 years)
## 6998 We use ML methods for generating insights (but do not put working models into production)
## 6999 <NA>
## 7000 <NA>
## 7001 <NA>
## 7002 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7003 No (we do not use ML methods)
## 7004 <NA>
## 7005 We are exploring ML methods (and may one day put a model into production)
## 7006 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7007 We have well established ML methods (i.e., models in production for more than 2 years)
## 7008 We have well established ML methods (i.e., models in production for more than 2 years)
## 7009 <NA>
## 7010 We are exploring ML methods (and may one day put a model into production)
## 7011 We are exploring ML methods (and may one day put a model into production)
## 7012 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7013 I do not know
## 7014 We have well established ML methods (i.e., models in production for more than 2 years)
## 7015 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7016 We use ML methods for generating insights (but do not put working models into production)
## 7017 I do not know
## 7018 We are exploring ML methods (and may one day put a model into production)
## 7019 We have well established ML methods (i.e., models in production for more than 2 years)
## 7020 No (we do not use ML methods)
## 7021 We are exploring ML methods (and may one day put a model into production)
## 7022 We have well established ML methods (i.e., models in production for more than 2 years)
## 7023 We have well established ML methods (i.e., models in production for more than 2 years)
## 7024 We are exploring ML methods (and may one day put a model into production)
## 7025 We have well established ML methods (i.e., models in production for more than 2 years)
## 7026 No (we do not use ML methods)
## 7027 We are exploring ML methods (and may one day put a model into production)
## 7028 We have well established ML methods (i.e., models in production for more than 2 years)
## 7029 We are exploring ML methods (and may one day put a model into production)
## 7030 No (we do not use ML methods)
## 7031 <NA>
## 7032 No (we do not use ML methods)
## 7033 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7034 We have well established ML methods (i.e., models in production for more than 2 years)
## 7035 We use ML methods for generating insights (but do not put working models into production)
## 7036 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7037 <NA>
## 7038 We use ML methods for generating insights (but do not put working models into production)
## 7039 No (we do not use ML methods)
## 7040 <NA>
## 7041 We have well established ML methods (i.e., models in production for more than 2 years)
## 7042 <NA>
## 7043 No (we do not use ML methods)
## 7044 We use ML methods for generating insights (but do not put working models into production)
## 7045 No (we do not use ML methods)
## 7046 <NA>
## 7047 No (we do not use ML methods)
## 7048 <NA>
## 7049 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7050 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7051 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7052 We are exploring ML methods (and may one day put a model into production)
## 7053 <NA>
## 7054 We use ML methods for generating insights (but do not put working models into production)
## 7055 No (we do not use ML methods)
## 7056 <NA>
## 7057 We have well established ML methods (i.e., models in production for more than 2 years)
## 7058 No (we do not use ML methods)
## 7059 <NA>
## 7060 We are exploring ML methods (and may one day put a model into production)
## 7061 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7062 We have well established ML methods (i.e., models in production for more than 2 years)
## 7063 We are exploring ML methods (and may one day put a model into production)
## 7064 We are exploring ML methods (and may one day put a model into production)
## 7065 No (we do not use ML methods)
## 7066 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7067 We are exploring ML methods (and may one day put a model into production)
## 7068 <NA>
## 7069 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7070 <NA>
## 7071 We are exploring ML methods (and may one day put a model into production)
## 7072 No (we do not use ML methods)
## 7073 I do not know
## 7074 <NA>
## 7075 I do not know
## 7076 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7077 We have well established ML methods (i.e., models in production for more than 2 years)
## 7078 We use ML methods for generating insights (but do not put working models into production)
## 7079 We are exploring ML methods (and may one day put a model into production)
## 7080 We use ML methods for generating insights (but do not put working models into production)
## 7081 We use ML methods for generating insights (but do not put working models into production)
## 7082 We use ML methods for generating insights (but do not put working models into production)
## 7083 <NA>
## 7084 No (we do not use ML methods)
## 7085 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7086 No (we do not use ML methods)
## 7087 We have well established ML methods (i.e., models in production for more than 2 years)
## 7088 We have well established ML methods (i.e., models in production for more than 2 years)
## 7089 No (we do not use ML methods)
## 7090 <NA>
## 7091 <NA>
## 7092 We have well established ML methods (i.e., models in production for more than 2 years)
## 7093 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7094 <NA>
## 7095 We are exploring ML methods (and may one day put a model into production)
## 7096 <NA>
## 7097 We have well established ML methods (i.e., models in production for more than 2 years)
## 7098 We are exploring ML methods (and may one day put a model into production)
## 7099 <NA>
## 7100 <NA>
## 7101 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7102 We are exploring ML methods (and may one day put a model into production)
## 7103 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7104 We are exploring ML methods (and may one day put a model into production)
## 7105 No (we do not use ML methods)
## 7106 No (we do not use ML methods)
## 7107 No (we do not use ML methods)
## 7108 <NA>
## 7109 No (we do not use ML methods)
## 7110 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7111 We are exploring ML methods (and may one day put a model into production)
## 7112 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7113 <NA>
## 7114 We have well established ML methods (i.e., models in production for more than 2 years)
## 7115 We are exploring ML methods (and may one day put a model into production)
## 7116 <NA>
## 7117 <NA>
## 7118 <NA>
## 7119 We are exploring ML methods (and may one day put a model into production)
## 7120 We are exploring ML methods (and may one day put a model into production)
## 7121 <NA>
## 7122 We are exploring ML methods (and may one day put a model into production)
## 7123 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7124 <NA>
## 7125 We have well established ML methods (i.e., models in production for more than 2 years)
## 7126 <NA>
## 7127 We use ML methods for generating insights (but do not put working models into production)
## 7128 No (we do not use ML methods)
## 7129 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7130 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7131 We are exploring ML methods (and may one day put a model into production)
## 7132 We have well established ML methods (i.e., models in production for more than 2 years)
## 7133 <NA>
## 7134 <NA>
## 7135 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7136 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7137 I do not know
## 7138 We are exploring ML methods (and may one day put a model into production)
## 7139 We have well established ML methods (i.e., models in production for more than 2 years)
## 7140 <NA>
## 7141 No (we do not use ML methods)
## 7142 We use ML methods for generating insights (but do not put working models into production)
## 7143 <NA>
## 7144 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7145 We are exploring ML methods (and may one day put a model into production)
## 7146 I do not know
## 7147 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7148 <NA>
## 7149 We are exploring ML methods (and may one day put a model into production)
## 7150 We have well established ML methods (i.e., models in production for more than 2 years)
## 7151 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7152 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7153 <NA>
## 7154 We have well established ML methods (i.e., models in production for more than 2 years)
## 7155 <NA>
## 7156 No (we do not use ML methods)
## 7157 We use ML methods for generating insights (but do not put working models into production)
## 7158 <NA>
## 7159 No (we do not use ML methods)
## 7160 <NA>
## 7161 <NA>
## 7162 No (we do not use ML methods)
## 7163 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7164 I do not know
## 7165 We have well established ML methods (i.e., models in production for more than 2 years)
## 7166 We are exploring ML methods (and may one day put a model into production)
## 7167 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7168 We are exploring ML methods (and may one day put a model into production)
## 7169 We have well established ML methods (i.e., models in production for more than 2 years)
## 7170 We are exploring ML methods (and may one day put a model into production)
## 7171 <NA>
## 7172 We have well established ML methods (i.e., models in production for more than 2 years)
## 7173 <NA>
## 7174 <NA>
## 7175 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7176 <NA>
## 7177 I do not know
## 7178 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7179 We have well established ML methods (i.e., models in production for more than 2 years)
## 7180 No (we do not use ML methods)
## 7181 I do not know
## 7182 We are exploring ML methods (and may one day put a model into production)
## 7183 <NA>
## 7184 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7185 <NA>
## 7186 I do not know
## 7187 I do not know
## 7188 We are exploring ML methods (and may one day put a model into production)
## 7189 We have well established ML methods (i.e., models in production for more than 2 years)
## 7190 <NA>
## 7191 <NA>
## 7192 We are exploring ML methods (and may one day put a model into production)
## 7193 <NA>
## 7194 <NA>
## 7195 <NA>
## 7196 We have well established ML methods (i.e., models in production for more than 2 years)
## 7197 We have well established ML methods (i.e., models in production for more than 2 years)
## 7198 <NA>
## 7199 We use ML methods for generating insights (but do not put working models into production)
## 7200 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7201 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7202 No (we do not use ML methods)
## 7203 <NA>
## 7204 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7205 We have well established ML methods (i.e., models in production for more than 2 years)
## 7206 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7207 We use ML methods for generating insights (but do not put working models into production)
## 7208 <NA>
## 7209 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7210 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7211 I do not know
## 7212 No (we do not use ML methods)
## 7213 We are exploring ML methods (and may one day put a model into production)
## 7214 No (we do not use ML methods)
## 7215 <NA>
## 7216 <NA>
## 7217 We are exploring ML methods (and may one day put a model into production)
## 7218 <NA>
## 7219 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7220 No (we do not use ML methods)
## 7221 <NA>
## 7222 No (we do not use ML methods)
## 7223 We have well established ML methods (i.e., models in production for more than 2 years)
## 7224 <NA>
## 7225 <NA>
## 7226 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7227 <NA>
## 7228 <NA>
## 7229 We are exploring ML methods (and may one day put a model into production)
## 7230 No (we do not use ML methods)
## 7231 No (we do not use ML methods)
## 7232 <NA>
## 7233 We are exploring ML methods (and may one day put a model into production)
## 7234 We are exploring ML methods (and may one day put a model into production)
## 7235 We have well established ML methods (i.e., models in production for more than 2 years)
## 7236 We are exploring ML methods (and may one day put a model into production)
## 7237 We are exploring ML methods (and may one day put a model into production)
## 7238 No (we do not use ML methods)
## 7239 We have well established ML methods (i.e., models in production for more than 2 years)
## 7240 I do not know
## 7241 No (we do not use ML methods)
## 7242 We have well established ML methods (i.e., models in production for more than 2 years)
## 7243 <NA>
## 7244 <NA>
## 7245 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7246 <NA>
## 7247 We have well established ML methods (i.e., models in production for more than 2 years)
## 7248 We have well established ML methods (i.e., models in production for more than 2 years)
## 7249 We use ML methods for generating insights (but do not put working models into production)
## 7250 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7251 We have well established ML methods (i.e., models in production for more than 2 years)
## 7252 We have well established ML methods (i.e., models in production for more than 2 years)
## 7253 We are exploring ML methods (and may one day put a model into production)
## 7254 We have well established ML methods (i.e., models in production for more than 2 years)
## 7255 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7256 We have well established ML methods (i.e., models in production for more than 2 years)
## 7257 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7258 We use ML methods for generating insights (but do not put working models into production)
## 7259 We are exploring ML methods (and may one day put a model into production)
## 7260 I do not know
## 7261 <NA>
## 7262 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7263 No (we do not use ML methods)
## 7264 We have well established ML methods (i.e., models in production for more than 2 years)
## 7265 We are exploring ML methods (and may one day put a model into production)
## 7266 <NA>
## 7267 We have well established ML methods (i.e., models in production for more than 2 years)
## 7268 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7269 I do not know
## 7270 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7271 We have well established ML methods (i.e., models in production for more than 2 years)
## 7272 We have well established ML methods (i.e., models in production for more than 2 years)
## 7273 We use ML methods for generating insights (but do not put working models into production)
## 7274 We have well established ML methods (i.e., models in production for more than 2 years)
## 7275 No (we do not use ML methods)
## 7276 No (we do not use ML methods)
## 7277 I do not know
## 7278 We are exploring ML methods (and may one day put a model into production)
## 7279 No (we do not use ML methods)
## 7280 We are exploring ML methods (and may one day put a model into production)
## 7281 We have well established ML methods (i.e., models in production for more than 2 years)
## 7282 We have well established ML methods (i.e., models in production for more than 2 years)
## 7283 We use ML methods for generating insights (but do not put working models into production)
## 7284 We are exploring ML methods (and may one day put a model into production)
## 7285 We use ML methods for generating insights (but do not put working models into production)
## 7286 No (we do not use ML methods)
## 7287 We are exploring ML methods (and may one day put a model into production)
## 7288 We are exploring ML methods (and may one day put a model into production)
## 7289 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7290 We are exploring ML methods (and may one day put a model into production)
## 7291 <NA>
## 7292 We have well established ML methods (i.e., models in production for more than 2 years)
## 7293 We are exploring ML methods (and may one day put a model into production)
## 7294 We are exploring ML methods (and may one day put a model into production)
## 7295 <NA>
## 7296 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7297 We use ML methods for generating insights (but do not put working models into production)
## 7298 We are exploring ML methods (and may one day put a model into production)
## 7299 We are exploring ML methods (and may one day put a model into production)
## 7300 We have well established ML methods (i.e., models in production for more than 2 years)
## 7301 <NA>
## 7302 <NA>
## 7303 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7304 <NA>
## 7305 We have well established ML methods (i.e., models in production for more than 2 years)
## 7306 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7307 <NA>
## 7308 We are exploring ML methods (and may one day put a model into production)
## 7309 I do not know
## 7310 We use ML methods for generating insights (but do not put working models into production)
## 7311 We have well established ML methods (i.e., models in production for more than 2 years)
## 7312 We have well established ML methods (i.e., models in production for more than 2 years)
## 7313 I do not know
## 7314 We have well established ML methods (i.e., models in production for more than 2 years)
## 7315 We have well established ML methods (i.e., models in production for more than 2 years)
## 7316 We have well established ML methods (i.e., models in production for more than 2 years)
## 7317 <NA>
## 7318 No (we do not use ML methods)
## 7319 We are exploring ML methods (and may one day put a model into production)
## 7320 <NA>
## 7321 We are exploring ML methods (and may one day put a model into production)
## 7322 No (we do not use ML methods)
## 7323 No (we do not use ML methods)
## 7324 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7325 We are exploring ML methods (and may one day put a model into production)
## 7326 No (we do not use ML methods)
## 7327 <NA>
## 7328 <NA>
## 7329 We have well established ML methods (i.e., models in production for more than 2 years)
## 7330 <NA>
## 7331 <NA>
## 7332 We use ML methods for generating insights (but do not put working models into production)
## 7333 No (we do not use ML methods)
## 7334 We use ML methods for generating insights (but do not put working models into production)
## 7335 We use ML methods for generating insights (but do not put working models into production)
## 7336 We use ML methods for generating insights (but do not put working models into production)
## 7337 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7338 <NA>
## 7339 No (we do not use ML methods)
## 7340 No (we do not use ML methods)
## 7341 <NA>
## 7342 We are exploring ML methods (and may one day put a model into production)
## 7343 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7344 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7345 We are exploring ML methods (and may one day put a model into production)
## 7346 I do not know
## 7347 <NA>
## 7348 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7349 No (we do not use ML methods)
## 7350 <NA>
## 7351 I do not know
## 7352 We use ML methods for generating insights (but do not put working models into production)
## 7353 We are exploring ML methods (and may one day put a model into production)
## 7354 We are exploring ML methods (and may one day put a model into production)
## 7355 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7356 I do not know
## 7357 We have well established ML methods (i.e., models in production for more than 2 years)
## 7358 <NA>
## 7359 I do not know
## 7360 <NA>
## 7361 No (we do not use ML methods)
## 7362 No (we do not use ML methods)
## 7363 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7364 We use ML methods for generating insights (but do not put working models into production)
## 7365 We have well established ML methods (i.e., models in production for more than 2 years)
## 7366 We are exploring ML methods (and may one day put a model into production)
## 7367 No (we do not use ML methods)
## 7368 <NA>
## 7369 We use ML methods for generating insights (but do not put working models into production)
## 7370 We have well established ML methods (i.e., models in production for more than 2 years)
## 7371 We use ML methods for generating insights (but do not put working models into production)
## 7372 We have well established ML methods (i.e., models in production for more than 2 years)
## 7373 <NA>
## 7374 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7375 We are exploring ML methods (and may one day put a model into production)
## 7376 I do not know
## 7377 We are exploring ML methods (and may one day put a model into production)
## 7378 <NA>
## 7379 I do not know
## 7380 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7381 We have well established ML methods (i.e., models in production for more than 2 years)
## 7382 <NA>
## 7383 We are exploring ML methods (and may one day put a model into production)
## 7384 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7385 No (we do not use ML methods)
## 7386 We are exploring ML methods (and may one day put a model into production)
## 7387 We are exploring ML methods (and may one day put a model into production)
## 7388 No (we do not use ML methods)
## 7389 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7390 We use ML methods for generating insights (but do not put working models into production)
## 7391 I do not know
## 7392 No (we do not use ML methods)
## 7393 We use ML methods for generating insights (but do not put working models into production)
## 7394 We use ML methods for generating insights (but do not put working models into production)
## 7395 We are exploring ML methods (and may one day put a model into production)
## 7396 We are exploring ML methods (and may one day put a model into production)
## 7397 I do not know
## 7398 <NA>
## 7399 I do not know
## 7400 We have well established ML methods (i.e., models in production for more than 2 years)
## 7401 <NA>
## 7402 We have well established ML methods (i.e., models in production for more than 2 years)
## 7403 We have well established ML methods (i.e., models in production for more than 2 years)
## 7404 No (we do not use ML methods)
## 7405 We have well established ML methods (i.e., models in production for more than 2 years)
## 7406 We have well established ML methods (i.e., models in production for more than 2 years)
## 7407 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7408 No (we do not use ML methods)
## 7409 <NA>
## 7410 No (we do not use ML methods)
## 7411 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7412 <NA>
## 7413 <NA>
## 7414 <NA>
## 7415 We have well established ML methods (i.e., models in production for more than 2 years)
## 7416 <NA>
## 7417 No (we do not use ML methods)
## 7418 <NA>
## 7419 No (we do not use ML methods)
## 7420 We are exploring ML methods (and may one day put a model into production)
## 7421 I do not know
## 7422 We have well established ML methods (i.e., models in production for more than 2 years)
## 7423 <NA>
## 7424 <NA>
## 7425 <NA>
## 7426 We have well established ML methods (i.e., models in production for more than 2 years)
## 7427 No (we do not use ML methods)
## 7428 We have well established ML methods (i.e., models in production for more than 2 years)
## 7429 <NA>
## 7430 <NA>
## 7431 We have well established ML methods (i.e., models in production for more than 2 years)
## 7432 <NA>
## 7433 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7434 <NA>
## 7435 No (we do not use ML methods)
## 7436 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7437 <NA>
## 7438 I do not know
## 7439 <NA>
## 7440 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7441 <NA>
## 7442 We use ML methods for generating insights (but do not put working models into production)
## 7443 No (we do not use ML methods)
## 7444 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7445 We are exploring ML methods (and may one day put a model into production)
## 7446 <NA>
## 7447 I do not know
## 7448 We use ML methods for generating insights (but do not put working models into production)
## 7449 We use ML methods for generating insights (but do not put working models into production)
## 7450 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7451 No (we do not use ML methods)
## 7452 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7453 I do not know
## 7454 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7455 <NA>
## 7456 We are exploring ML methods (and may one day put a model into production)
## 7457 We are exploring ML methods (and may one day put a model into production)
## 7458 We are exploring ML methods (and may one day put a model into production)
## 7459 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7460 We use ML methods for generating insights (but do not put working models into production)
## 7461 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7462 I do not know
## 7463 We have well established ML methods (i.e., models in production for more than 2 years)
## 7464 We have well established ML methods (i.e., models in production for more than 2 years)
## 7465 <NA>
## 7466 No (we do not use ML methods)
## 7467 We have well established ML methods (i.e., models in production for more than 2 years)
## 7468 We use ML methods for generating insights (but do not put working models into production)
## 7469 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7470 We are exploring ML methods (and may one day put a model into production)
## 7471 We are exploring ML methods (and may one day put a model into production)
## 7472 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7473 We are exploring ML methods (and may one day put a model into production)
## 7474 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7475 No (we do not use ML methods)
## 7476 We use ML methods for generating insights (but do not put working models into production)
## 7477 <NA>
## 7478 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7479 We are exploring ML methods (and may one day put a model into production)
## 7480 <NA>
## 7481 <NA>
## 7482 No (we do not use ML methods)
## 7483 No (we do not use ML methods)
## 7484 We are exploring ML methods (and may one day put a model into production)
## 7485 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7486 We are exploring ML methods (and may one day put a model into production)
## 7487 <NA>
## 7488 <NA>
## 7489 We use ML methods for generating insights (but do not put working models into production)
## 7490 We are exploring ML methods (and may one day put a model into production)
## 7491 I do not know
## 7492 No (we do not use ML methods)
## 7493 We have well established ML methods (i.e., models in production for more than 2 years)
## 7494 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7495 <NA>
## 7496 We are exploring ML methods (and may one day put a model into production)
## 7497 No (we do not use ML methods)
## 7498 We have well established ML methods (i.e., models in production for more than 2 years)
## 7499 No (we do not use ML methods)
## 7500 <NA>
## 7501 We use ML methods for generating insights (but do not put working models into production)
## 7502 No (we do not use ML methods)
## 7503 <NA>
## 7504 No (we do not use ML methods)
## 7505 No (we do not use ML methods)
## 7506 No (we do not use ML methods)
## 7507 <NA>
## 7508 No (we do not use ML methods)
## 7509 <NA>
## 7510 No (we do not use ML methods)
## 7511 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7512 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7513 We are exploring ML methods (and may one day put a model into production)
## 7514 I do not know
## 7515 I do not know
## 7516 We have well established ML methods (i.e., models in production for more than 2 years)
## 7517 I do not know
## 7518 <NA>
## 7519 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7520 We have well established ML methods (i.e., models in production for more than 2 years)
## 7521 <NA>
## 7522 <NA>
## 7523 We are exploring ML methods (and may one day put a model into production)
## 7524 We are exploring ML methods (and may one day put a model into production)
## 7525 We have well established ML methods (i.e., models in production for more than 2 years)
## 7526 We are exploring ML methods (and may one day put a model into production)
## 7527 We have well established ML methods (i.e., models in production for more than 2 years)
## 7528 We have well established ML methods (i.e., models in production for more than 2 years)
## 7529 We are exploring ML methods (and may one day put a model into production)
## 7530 No (we do not use ML methods)
## 7531 We are exploring ML methods (and may one day put a model into production)
## 7532 We are exploring ML methods (and may one day put a model into production)
## 7533 We have well established ML methods (i.e., models in production for more than 2 years)
## 7534 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7535 We use ML methods for generating insights (but do not put working models into production)
## 7536 We use ML methods for generating insights (but do not put working models into production)
## 7537 We are exploring ML methods (and may one day put a model into production)
## 7538 We have well established ML methods (i.e., models in production for more than 2 years)
## 7539 <NA>
## 7540 <NA>
## 7541 <NA>
## 7542 <NA>
## 7543 <NA>
## 7544 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7545 We are exploring ML methods (and may one day put a model into production)
## 7546 We are exploring ML methods (and may one day put a model into production)
## 7547 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7548 We use ML methods for generating insights (but do not put working models into production)
## 7549 I do not know
## 7550 <NA>
## 7551 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7552 No (we do not use ML methods)
## 7553 We have well established ML methods (i.e., models in production for more than 2 years)
## 7554 We are exploring ML methods (and may one day put a model into production)
## 7555 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7556 <NA>
## 7557 We have well established ML methods (i.e., models in production for more than 2 years)
## 7558 We have well established ML methods (i.e., models in production for more than 2 years)
## 7559 <NA>
## 7560 No (we do not use ML methods)
## 7561 We are exploring ML methods (and may one day put a model into production)
## 7562 We have well established ML methods (i.e., models in production for more than 2 years)
## 7563 We have well established ML methods (i.e., models in production for more than 2 years)
## 7564 We are exploring ML methods (and may one day put a model into production)
## 7565 <NA>
## 7566 We have well established ML methods (i.e., models in production for more than 2 years)
## 7567 I do not know
## 7568 We use ML methods for generating insights (but do not put working models into production)
## 7569 We are exploring ML methods (and may one day put a model into production)
## 7570 <NA>
## 7571 We have well established ML methods (i.e., models in production for more than 2 years)
## 7572 <NA>
## 7573 We are exploring ML methods (and may one day put a model into production)
## 7574 We use ML methods for generating insights (but do not put working models into production)
## 7575 <NA>
## 7576 We use ML methods for generating insights (but do not put working models into production)
## 7577 We are exploring ML methods (and may one day put a model into production)
## 7578 <NA>
## 7579 We use ML methods for generating insights (but do not put working models into production)
## 7580 <NA>
## 7581 We have well established ML methods (i.e., models in production for more than 2 years)
## 7582 I do not know
## 7583 <NA>
## 7584 We are exploring ML methods (and may one day put a model into production)
## 7585 <NA>
## 7586 No (we do not use ML methods)
## 7587 I do not know
## 7588 <NA>
## 7589 We are exploring ML methods (and may one day put a model into production)
## 7590 <NA>
## 7591 <NA>
## 7592 <NA>
## 7593 <NA>
## 7594 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7595 We have well established ML methods (i.e., models in production for more than 2 years)
## 7596 I do not know
## 7597 We have well established ML methods (i.e., models in production for more than 2 years)
## 7598 We have well established ML methods (i.e., models in production for more than 2 years)
## 7599 We are exploring ML methods (and may one day put a model into production)
## 7600 <NA>
## 7601 <NA>
## 7602 <NA>
## 7603 We are exploring ML methods (and may one day put a model into production)
## 7604 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7605 No (we do not use ML methods)
## 7606 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7607 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7608 <NA>
## 7609 No (we do not use ML methods)
## 7610 No (we do not use ML methods)
## 7611 We are exploring ML methods (and may one day put a model into production)
## 7612 We are exploring ML methods (and may one day put a model into production)
## 7613 We have well established ML methods (i.e., models in production for more than 2 years)
## 7614 <NA>
## 7615 <NA>
## 7616 We have well established ML methods (i.e., models in production for more than 2 years)
## 7617 No (we do not use ML methods)
## 7618 <NA>
## 7619 We have well established ML methods (i.e., models in production for more than 2 years)
## 7620 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7621 <NA>
## 7622 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7623 We use ML methods for generating insights (but do not put working models into production)
## 7624 I do not know
## 7625 We use ML methods for generating insights (but do not put working models into production)
## 7626 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7627 We use ML methods for generating insights (but do not put working models into production)
## 7628 <NA>
## 7629 We are exploring ML methods (and may one day put a model into production)
## 7630 We have well established ML methods (i.e., models in production for more than 2 years)
## 7631 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7632 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7633 <NA>
## 7634 We have well established ML methods (i.e., models in production for more than 2 years)
## 7635 We have well established ML methods (i.e., models in production for more than 2 years)
## 7636 <NA>
## 7637 <NA>
## 7638 <NA>
## 7639 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7640 We use ML methods for generating insights (but do not put working models into production)
## 7641 No (we do not use ML methods)
## 7642 We have well established ML methods (i.e., models in production for more than 2 years)
## 7643 We are exploring ML methods (and may one day put a model into production)
## 7644 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7645 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7646 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7647 I do not know
## 7648 <NA>
## 7649 I do not know
## 7650 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7651 We are exploring ML methods (and may one day put a model into production)
## 7652 We have well established ML methods (i.e., models in production for more than 2 years)
## 7653 We are exploring ML methods (and may one day put a model into production)
## 7654 <NA>
## 7655 We are exploring ML methods (and may one day put a model into production)
## 7656 We use ML methods for generating insights (but do not put working models into production)
## 7657 We use ML methods for generating insights (but do not put working models into production)
## 7658 I do not know
## 7659 We are exploring ML methods (and may one day put a model into production)
## 7660 <NA>
## 7661 We have well established ML methods (i.e., models in production for more than 2 years)
## 7662 No (we do not use ML methods)
## 7663 We are exploring ML methods (and may one day put a model into production)
## 7664 <NA>
## 7665 We use ML methods for generating insights (but do not put working models into production)
## 7666 We are exploring ML methods (and may one day put a model into production)
## 7667 We are exploring ML methods (and may one day put a model into production)
## 7668 I do not know
## 7669 We have well established ML methods (i.e., models in production for more than 2 years)
## 7670 I do not know
## 7671 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7672 I do not know
## 7673 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7674 We have well established ML methods (i.e., models in production for more than 2 years)
## 7675 We use ML methods for generating insights (but do not put working models into production)
## 7676 No (we do not use ML methods)
## 7677 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7678 We have well established ML methods (i.e., models in production for more than 2 years)
## 7679 <NA>
## 7680 No (we do not use ML methods)
## 7681 We have well established ML methods (i.e., models in production for more than 2 years)
## 7682 We have well established ML methods (i.e., models in production for more than 2 years)
## 7683 No (we do not use ML methods)
## 7684 No (we do not use ML methods)
## 7685 We use ML methods for generating insights (but do not put working models into production)
## 7686 We are exploring ML methods (and may one day put a model into production)
## 7687 We have well established ML methods (i.e., models in production for more than 2 years)
## 7688 <NA>
## 7689 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7690 <NA>
## 7691 We use ML methods for generating insights (but do not put working models into production)
## 7692 <NA>
## 7693 <NA>
## 7694 We are exploring ML methods (and may one day put a model into production)
## 7695 <NA>
## 7696 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7697 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7698 We have well established ML methods (i.e., models in production for more than 2 years)
## 7699 I do not know
## 7700 I do not know
## 7701 We are exploring ML methods (and may one day put a model into production)
## 7702 We use ML methods for generating insights (but do not put working models into production)
## 7703 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7704 We are exploring ML methods (and may one day put a model into production)
## 7705 <NA>
## 7706 I do not know
## 7707 We are exploring ML methods (and may one day put a model into production)
## 7708 No (we do not use ML methods)
## 7709 <NA>
## 7710 We are exploring ML methods (and may one day put a model into production)
## 7711 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7712 We use ML methods for generating insights (but do not put working models into production)
## 7713 We are exploring ML methods (and may one day put a model into production)
## 7714 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7715 We use ML methods for generating insights (but do not put working models into production)
## 7716 I do not know
## 7717 I do not know
## 7718 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7719 We use ML methods for generating insights (but do not put working models into production)
## 7720 We use ML methods for generating insights (but do not put working models into production)
## 7721 <NA>
## 7722 No (we do not use ML methods)
## 7723 No (we do not use ML methods)
## 7724 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7725 No (we do not use ML methods)
## 7726 <NA>
## 7727 <NA>
## 7728 We use ML methods for generating insights (but do not put working models into production)
## 7729 No (we do not use ML methods)
## 7730 We use ML methods for generating insights (but do not put working models into production)
## 7731 We have well established ML methods (i.e., models in production for more than 2 years)
## 7732 We are exploring ML methods (and may one day put a model into production)
## 7733 No (we do not use ML methods)
## 7734 We are exploring ML methods (and may one day put a model into production)
## 7735 <NA>
## 7736 <NA>
## 7737 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7738 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7739 No (we do not use ML methods)
## 7740 We are exploring ML methods (and may one day put a model into production)
## 7741 <NA>
## 7742 We are exploring ML methods (and may one day put a model into production)
## 7743 We are exploring ML methods (and may one day put a model into production)
## 7744 <NA>
## 7745 No (we do not use ML methods)
## 7746 <NA>
## 7747 We are exploring ML methods (and may one day put a model into production)
## 7748 I do not know
## 7749 We are exploring ML methods (and may one day put a model into production)
## 7750 We are exploring ML methods (and may one day put a model into production)
## 7751 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7752 No (we do not use ML methods)
## 7753 We have well established ML methods (i.e., models in production for more than 2 years)
## 7754 <NA>
## 7755 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7756 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7757 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7758 <NA>
## 7759 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7760 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7761 <NA>
## 7762 We use ML methods for generating insights (but do not put working models into production)
## 7763 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7764 We are exploring ML methods (and may one day put a model into production)
## 7765 <NA>
## 7766 We have well established ML methods (i.e., models in production for more than 2 years)
## 7767 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7768 We are exploring ML methods (and may one day put a model into production)
## 7769 <NA>
## 7770 We are exploring ML methods (and may one day put a model into production)
## 7771 <NA>
## 7772 We have well established ML methods (i.e., models in production for more than 2 years)
## 7773 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7774 We are exploring ML methods (and may one day put a model into production)
## 7775 We use ML methods for generating insights (but do not put working models into production)
## 7776 We are exploring ML methods (and may one day put a model into production)
## 7777 <NA>
## 7778 <NA>
## 7779 I do not know
## 7780 No (we do not use ML methods)
## 7781 We are exploring ML methods (and may one day put a model into production)
## 7782 We are exploring ML methods (and may one day put a model into production)
## 7783 We use ML methods for generating insights (but do not put working models into production)
## 7784 We use ML methods for generating insights (but do not put working models into production)
## 7785 We are exploring ML methods (and may one day put a model into production)
## 7786 We have well established ML methods (i.e., models in production for more than 2 years)
## 7787 We have well established ML methods (i.e., models in production for more than 2 years)
## 7788 No (we do not use ML methods)
## 7789 <NA>
## 7790 No (we do not use ML methods)
## 7791 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7792 <NA>
## 7793 No (we do not use ML methods)
## 7794 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7795 <NA>
## 7796 No (we do not use ML methods)
## 7797 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7798 We are exploring ML methods (and may one day put a model into production)
## 7799 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7800 <NA>
## 7801 We have well established ML methods (i.e., models in production for more than 2 years)
## 7802 <NA>
## 7803 We have well established ML methods (i.e., models in production for more than 2 years)
## 7804 <NA>
## 7805 No (we do not use ML methods)
## 7806 <NA>
## 7807 <NA>
## 7808 We have well established ML methods (i.e., models in production for more than 2 years)
## 7809 We are exploring ML methods (and may one day put a model into production)
## 7810 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7811 <NA>
## 7812 We have well established ML methods (i.e., models in production for more than 2 years)
## 7813 We use ML methods for generating insights (but do not put working models into production)
## 7814 We use ML methods for generating insights (but do not put working models into production)
## 7815 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7816 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7817 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7818 <NA>
## 7819 We are exploring ML methods (and may one day put a model into production)
## 7820 We are exploring ML methods (and may one day put a model into production)
## 7821 No (we do not use ML methods)
## 7822 No (we do not use ML methods)
## 7823 We use ML methods for generating insights (but do not put working models into production)
## 7824 We use ML methods for generating insights (but do not put working models into production)
## 7825 We have well established ML methods (i.e., models in production for more than 2 years)
## 7826 We are exploring ML methods (and may one day put a model into production)
## 7827 We are exploring ML methods (and may one day put a model into production)
## 7828 We use ML methods for generating insights (but do not put working models into production)
## 7829 No (we do not use ML methods)
## 7830 No (we do not use ML methods)
## 7831 We are exploring ML methods (and may one day put a model into production)
## 7832 We are exploring ML methods (and may one day put a model into production)
## 7833 <NA>
## 7834 We have well established ML methods (i.e., models in production for more than 2 years)
## 7835 No (we do not use ML methods)
## 7836 <NA>
## 7837 We are exploring ML methods (and may one day put a model into production)
## 7838 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7839 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7840 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7841 <NA>
## 7842 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7843 No (we do not use ML methods)
## 7844 <NA>
## 7845 We are exploring ML methods (and may one day put a model into production)
## 7846 We have well established ML methods (i.e., models in production for more than 2 years)
## 7847 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7848 No (we do not use ML methods)
## 7849 <NA>
## 7850 We are exploring ML methods (and may one day put a model into production)
## 7851 We are exploring ML methods (and may one day put a model into production)
## 7852 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7853 We have well established ML methods (i.e., models in production for more than 2 years)
## 7854 We use ML methods for generating insights (but do not put working models into production)
## 7855 No (we do not use ML methods)
## 7856 No (we do not use ML methods)
## 7857 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7858 We are exploring ML methods (and may one day put a model into production)
## 7859 We use ML methods for generating insights (but do not put working models into production)
## 7860 <NA>
## 7861 We use ML methods for generating insights (but do not put working models into production)
## 7862 We use ML methods for generating insights (but do not put working models into production)
## 7863 <NA>
## 7864 We are exploring ML methods (and may one day put a model into production)
## 7865 <NA>
## 7866 No (we do not use ML methods)
## 7867 <NA>
## 7868 No (we do not use ML methods)
## 7869 We are exploring ML methods (and may one day put a model into production)
## 7870 We are exploring ML methods (and may one day put a model into production)
## 7871 We have well established ML methods (i.e., models in production for more than 2 years)
## 7872 <NA>
## 7873 We have well established ML methods (i.e., models in production for more than 2 years)
## 7874 We are exploring ML methods (and may one day put a model into production)
## 7875 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7876 <NA>
## 7877 No (we do not use ML methods)
## 7878 <NA>
## 7879 <NA>
## 7880 We are exploring ML methods (and may one day put a model into production)
## 7881 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7882 We use ML methods for generating insights (but do not put working models into production)
## 7883 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7884 <NA>
## 7885 No (we do not use ML methods)
## 7886 We are exploring ML methods (and may one day put a model into production)
## 7887 We are exploring ML methods (and may one day put a model into production)
## 7888 <NA>
## 7889 We have well established ML methods (i.e., models in production for more than 2 years)
## 7890 <NA>
## 7891 We are exploring ML methods (and may one day put a model into production)
## 7892 <NA>
## 7893 <NA>
## 7894 We are exploring ML methods (and may one day put a model into production)
## 7895 No (we do not use ML methods)
## 7896 <NA>
## 7897 <NA>
## 7898 We have well established ML methods (i.e., models in production for more than 2 years)
## 7899 <NA>
## 7900 No (we do not use ML methods)
## 7901 No (we do not use ML methods)
## 7902 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7903 We use ML methods for generating insights (but do not put working models into production)
## 7904 No (we do not use ML methods)
## 7905 We use ML methods for generating insights (but do not put working models into production)
## 7906 We have well established ML methods (i.e., models in production for more than 2 years)
## 7907 <NA>
## 7908 We have well established ML methods (i.e., models in production for more than 2 years)
## 7909 We have well established ML methods (i.e., models in production for more than 2 years)
## 7910 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7911 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7912 We are exploring ML methods (and may one day put a model into production)
## 7913 <NA>
## 7914 <NA>
## 7915 We have well established ML methods (i.e., models in production for more than 2 years)
## 7916 We are exploring ML methods (and may one day put a model into production)
## 7917 <NA>
## 7918 We use ML methods for generating insights (but do not put working models into production)
## 7919 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7920 <NA>
## 7921 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7922 We are exploring ML methods (and may one day put a model into production)
## 7923 I do not know
## 7924 We use ML methods for generating insights (but do not put working models into production)
## 7925 We use ML methods for generating insights (but do not put working models into production)
## 7926 No (we do not use ML methods)
## 7927 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7928 We have well established ML methods (i.e., models in production for more than 2 years)
## 7929 We have well established ML methods (i.e., models in production for more than 2 years)
## 7930 We are exploring ML methods (and may one day put a model into production)
## 7931 No (we do not use ML methods)
## 7932 We use ML methods for generating insights (but do not put working models into production)
## 7933 We use ML methods for generating insights (but do not put working models into production)
## 7934 <NA>
## 7935 <NA>
## 7936 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7937 We have well established ML methods (i.e., models in production for more than 2 years)
## 7938 No (we do not use ML methods)
## 7939 We have well established ML methods (i.e., models in production for more than 2 years)
## 7940 We are exploring ML methods (and may one day put a model into production)
## 7941 We are exploring ML methods (and may one day put a model into production)
## 7942 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7943 <NA>
## 7944 We have well established ML methods (i.e., models in production for more than 2 years)
## 7945 <NA>
## 7946 <NA>
## 7947 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7948 No (we do not use ML methods)
## 7949 We use ML methods for generating insights (but do not put working models into production)
## 7950 I do not know
## 7951 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7952 We use ML methods for generating insights (but do not put working models into production)
## 7953 No (we do not use ML methods)
## 7954 We use ML methods for generating insights (but do not put working models into production)
## 7955 We are exploring ML methods (and may one day put a model into production)
## 7956 <NA>
## 7957 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7958 <NA>
## 7959 We are exploring ML methods (and may one day put a model into production)
## 7960 We are exploring ML methods (and may one day put a model into production)
## 7961 We are exploring ML methods (and may one day put a model into production)
## 7962 We have well established ML methods (i.e., models in production for more than 2 years)
## 7963 <NA>
## 7964 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7965 We use ML methods for generating insights (but do not put working models into production)
## 7966 I do not know
## 7967 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7968 We have well established ML methods (i.e., models in production for more than 2 years)
## 7969 We have well established ML methods (i.e., models in production for more than 2 years)
## 7970 We are exploring ML methods (and may one day put a model into production)
## 7971 No (we do not use ML methods)
## 7972 We use ML methods for generating insights (but do not put working models into production)
## 7973 We use ML methods for generating insights (but do not put working models into production)
## 7974 We have well established ML methods (i.e., models in production for more than 2 years)
## 7975 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7976 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7977 We are exploring ML methods (and may one day put a model into production)
## 7978 We are exploring ML methods (and may one day put a model into production)
## 7979 We are exploring ML methods (and may one day put a model into production)
## 7980 No (we do not use ML methods)
## 7981 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7982 <NA>
## 7983 We have well established ML methods (i.e., models in production for more than 2 years)
## 7984 I do not know
## 7985 <NA>
## 7986 No (we do not use ML methods)
## 7987 No (we do not use ML methods)
## 7988 <NA>
## 7989 No (we do not use ML methods)
## 7990 We have well established ML methods (i.e., models in production for more than 2 years)
## 7991 We use ML methods for generating insights (but do not put working models into production)
## 7992 <NA>
## 7993 <NA>
## 7994 <NA>
## 7995 We are exploring ML methods (and may one day put a model into production)
## 7996 We have well established ML methods (i.e., models in production for more than 2 years)
## 7997 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7998 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7999 No (we do not use ML methods)
## 8000 We have well established ML methods (i.e., models in production for more than 2 years)
## 8001 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8002 We are exploring ML methods (and may one day put a model into production)
## 8003 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8004 We are exploring ML methods (and may one day put a model into production)
## 8005 We have well established ML methods (i.e., models in production for more than 2 years)
## 8006 We have well established ML methods (i.e., models in production for more than 2 years)
## 8007 <NA>
## 8008 No (we do not use ML methods)
## 8009 No (we do not use ML methods)
## 8010 <NA>
## 8011 No (we do not use ML methods)
## 8012 <NA>
## 8013 We are exploring ML methods (and may one day put a model into production)
## 8014 <NA>
## 8015 We are exploring ML methods (and may one day put a model into production)
## 8016 We are exploring ML methods (and may one day put a model into production)
## 8017 <NA>
## 8018 We are exploring ML methods (and may one day put a model into production)
## 8019 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8020 No (we do not use ML methods)
## 8021 <NA>
## 8022 We have well established ML methods (i.e., models in production for more than 2 years)
## 8023 We are exploring ML methods (and may one day put a model into production)
## 8024 We have well established ML methods (i.e., models in production for more than 2 years)
## 8025 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8026 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8027 We are exploring ML methods (and may one day put a model into production)
## 8028 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8029 We use ML methods for generating insights (but do not put working models into production)
## 8030 We are exploring ML methods (and may one day put a model into production)
## 8031 I do not know
## 8032 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8033 We are exploring ML methods (and may one day put a model into production)
## 8034 We use ML methods for generating insights (but do not put working models into production)
## 8035 No (we do not use ML methods)
## 8036 We are exploring ML methods (and may one day put a model into production)
## 8037 We are exploring ML methods (and may one day put a model into production)
## 8038 We use ML methods for generating insights (but do not put working models into production)
## 8039 No (we do not use ML methods)
## 8040 <NA>
## 8041 We are exploring ML methods (and may one day put a model into production)
## 8042 I do not know
## 8043 <NA>
## 8044 No (we do not use ML methods)
## 8045 <NA>
## 8046 <NA>
## 8047 I do not know
## 8048 We have well established ML methods (i.e., models in production for more than 2 years)
## 8049 No (we do not use ML methods)
## 8050 We are exploring ML methods (and may one day put a model into production)
## 8051 We have well established ML methods (i.e., models in production for more than 2 years)
## 8052 We have well established ML methods (i.e., models in production for more than 2 years)
## 8053 We have well established ML methods (i.e., models in production for more than 2 years)
## 8054 We use ML methods for generating insights (but do not put working models into production)
## 8055 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8056 We are exploring ML methods (and may one day put a model into production)
## 8057 I do not know
## 8058 No (we do not use ML methods)
## 8059 We are exploring ML methods (and may one day put a model into production)
## 8060 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8061 <NA>
## 8062 We use ML methods for generating insights (but do not put working models into production)
## 8063 We are exploring ML methods (and may one day put a model into production)
## 8064 I do not know
## 8065 We use ML methods for generating insights (but do not put working models into production)
## 8066 We are exploring ML methods (and may one day put a model into production)
## 8067 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8068 We are exploring ML methods (and may one day put a model into production)
## 8069 No (we do not use ML methods)
## 8070 <NA>
## 8071 I do not know
## 8072 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8073 No (we do not use ML methods)
## 8074 <NA>
## 8075 No (we do not use ML methods)
## 8076 We use ML methods for generating insights (but do not put working models into production)
## 8077 <NA>
## 8078 We have well established ML methods (i.e., models in production for more than 2 years)
## 8079 We use ML methods for generating insights (but do not put working models into production)
## 8080 <NA>
## 8081 I do not know
## 8082 We have well established ML methods (i.e., models in production for more than 2 years)
## 8083 <NA>
## 8084 <NA>
## 8085 No (we do not use ML methods)
## 8086 <NA>
## 8087 We have well established ML methods (i.e., models in production for more than 2 years)
## 8088 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8089 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8090 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8091 We are exploring ML methods (and may one day put a model into production)
## 8092 We use ML methods for generating insights (but do not put working models into production)
## 8093 <NA>
## 8094 No (we do not use ML methods)
## 8095 No (we do not use ML methods)
## 8096 We are exploring ML methods (and may one day put a model into production)
## 8097 We use ML methods for generating insights (but do not put working models into production)
## 8098 We use ML methods for generating insights (but do not put working models into production)
## 8099 No (we do not use ML methods)
## 8100 We have well established ML methods (i.e., models in production for more than 2 years)
## 8101 We are exploring ML methods (and may one day put a model into production)
## 8102 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8103 <NA>
## 8104 We are exploring ML methods (and may one day put a model into production)
## 8105 We use ML methods for generating insights (but do not put working models into production)
## 8106 We are exploring ML methods (and may one day put a model into production)
## 8107 We have well established ML methods (i.e., models in production for more than 2 years)
## 8108 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8109 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8110 No (we do not use ML methods)
## 8111 We have well established ML methods (i.e., models in production for more than 2 years)
## 8112 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8113 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8114 No (we do not use ML methods)
## 8115 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8116 We are exploring ML methods (and may one day put a model into production)
## 8117 No (we do not use ML methods)
## 8118 No (we do not use ML methods)
## 8119 <NA>
## 8120 We are exploring ML methods (and may one day put a model into production)
## 8121 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8122 No (we do not use ML methods)
## 8123 <NA>
## 8124 <NA>
## 8125 We are exploring ML methods (and may one day put a model into production)
## 8126 We have well established ML methods (i.e., models in production for more than 2 years)
## 8127 We are exploring ML methods (and may one day put a model into production)
## 8128 We have well established ML methods (i.e., models in production for more than 2 years)
## 8129 No (we do not use ML methods)
## 8130 <NA>
## 8131 We are exploring ML methods (and may one day put a model into production)
## 8132 We have well established ML methods (i.e., models in production for more than 2 years)
## 8133 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8134 <NA>
## 8135 <NA>
## 8136 We are exploring ML methods (and may one day put a model into production)
## 8137 <NA>
## 8138 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8139 We have well established ML methods (i.e., models in production for more than 2 years)
## 8140 We are exploring ML methods (and may one day put a model into production)
## 8141 We use ML methods for generating insights (but do not put working models into production)
## 8142 We use ML methods for generating insights (but do not put working models into production)
## 8143 No (we do not use ML methods)
## 8144 No (we do not use ML methods)
## 8145 We have well established ML methods (i.e., models in production for more than 2 years)
## 8146 We have well established ML methods (i.e., models in production for more than 2 years)
## 8147 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8148 <NA>
## 8149 No (we do not use ML methods)
## 8150 We are exploring ML methods (and may one day put a model into production)
## 8151 No (we do not use ML methods)
## 8152 <NA>
## 8153 <NA>
## 8154 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8155 We use ML methods for generating insights (but do not put working models into production)
## 8156 <NA>
## 8157 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8158 We are exploring ML methods (and may one day put a model into production)
## 8159 We have well established ML methods (i.e., models in production for more than 2 years)
## 8160 We use ML methods for generating insights (but do not put working models into production)
## 8161 We use ML methods for generating insights (but do not put working models into production)
## 8162 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8163 We are exploring ML methods (and may one day put a model into production)
## 8164 No (we do not use ML methods)
## 8165 No (we do not use ML methods)
## 8166 <NA>
## 8167 <NA>
## 8168 We have well established ML methods (i.e., models in production for more than 2 years)
## 8169 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8170 I do not know
## 8171 <NA>
## 8172 We have well established ML methods (i.e., models in production for more than 2 years)
## 8173 We have well established ML methods (i.e., models in production for more than 2 years)
## 8174 We are exploring ML methods (and may one day put a model into production)
## 8175 <NA>
## 8176 No (we do not use ML methods)
## 8177 We have well established ML methods (i.e., models in production for more than 2 years)
## 8178 I do not know
## 8179 We are exploring ML methods (and may one day put a model into production)
## 8180 We are exploring ML methods (and may one day put a model into production)
## 8181 No (we do not use ML methods)
## 8182 We are exploring ML methods (and may one day put a model into production)
## 8183 <NA>
## 8184 <NA>
## 8185 We are exploring ML methods (and may one day put a model into production)
## 8186 We are exploring ML methods (and may one day put a model into production)
## 8187 We use ML methods for generating insights (but do not put working models into production)
## 8188 I do not know
## 8189 No (we do not use ML methods)
## 8190 <NA>
## 8191 <NA>
## 8192 I do not know
## 8193 We use ML methods for generating insights (but do not put working models into production)
## 8194 We use ML methods for generating insights (but do not put working models into production)
## 8195 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8196 We have well established ML methods (i.e., models in production for more than 2 years)
## 8197 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8198 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8199 We are exploring ML methods (and may one day put a model into production)
## 8200 <NA>
## 8201 We use ML methods for generating insights (but do not put working models into production)
## 8202 <NA>
## 8203 We have well established ML methods (i.e., models in production for more than 2 years)
## 8204 No (we do not use ML methods)
## 8205 We use ML methods for generating insights (but do not put working models into production)
## 8206 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8207 We have well established ML methods (i.e., models in production for more than 2 years)
## 8208 No (we do not use ML methods)
## 8209 <NA>
## 8210 We are exploring ML methods (and may one day put a model into production)
## 8211 We are exploring ML methods (and may one day put a model into production)
## 8212 We have well established ML methods (i.e., models in production for more than 2 years)
## 8213 No (we do not use ML methods)
## 8214 We have well established ML methods (i.e., models in production for more than 2 years)
## 8215 We are exploring ML methods (and may one day put a model into production)
## 8216 <NA>
## 8217 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8218 We have well established ML methods (i.e., models in production for more than 2 years)
## 8219 We use ML methods for generating insights (but do not put working models into production)
## 8220 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8221 <NA>
## 8222 I do not know
## 8223 We have well established ML methods (i.e., models in production for more than 2 years)
## 8224 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8225 <NA>
## 8226 We have well established ML methods (i.e., models in production for more than 2 years)
## 8227 No (we do not use ML methods)
## 8228 <NA>
## 8229 We have well established ML methods (i.e., models in production for more than 2 years)
## 8230 We are exploring ML methods (and may one day put a model into production)
## 8231 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8232 No (we do not use ML methods)
## 8233 We use ML methods for generating insights (but do not put working models into production)
## 8234 We have well established ML methods (i.e., models in production for more than 2 years)
## 8235 We have well established ML methods (i.e., models in production for more than 2 years)
## 8236 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8237 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8238 <NA>
## 8239 We have well established ML methods (i.e., models in production for more than 2 years)
## 8240 No (we do not use ML methods)
## 8241 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8242 We are exploring ML methods (and may one day put a model into production)
## 8243 We have well established ML methods (i.e., models in production for more than 2 years)
## 8244 I do not know
## 8245 We are exploring ML methods (and may one day put a model into production)
## 8246 No (we do not use ML methods)
## 8247 <NA>
## 8248 <NA>
## 8249 We have well established ML methods (i.e., models in production for more than 2 years)
## 8250 <NA>
## 8251 No (we do not use ML methods)
## 8252 We use ML methods for generating insights (but do not put working models into production)
## 8253 I do not know
## 8254 We are exploring ML methods (and may one day put a model into production)
## 8255 No (we do not use ML methods)
## 8256 We have well established ML methods (i.e., models in production for more than 2 years)
## 8257 <NA>
## 8258 No (we do not use ML methods)
## 8259 We have well established ML methods (i.e., models in production for more than 2 years)
## 8260 We use ML methods for generating insights (but do not put working models into production)
## 8261 <NA>
## 8262 I do not know
## 8263 No (we do not use ML methods)
## 8264 We are exploring ML methods (and may one day put a model into production)
## 8265 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8266 <NA>
## 8267 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8268 <NA>
## 8269 We use ML methods for generating insights (but do not put working models into production)
## 8270 <NA>
## 8271 We have well established ML methods (i.e., models in production for more than 2 years)
## 8272 We are exploring ML methods (and may one day put a model into production)
## 8273 No (we do not use ML methods)
## 8274 <NA>
## 8275 We have well established ML methods (i.e., models in production for more than 2 years)
## 8276 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8277 We have well established ML methods (i.e., models in production for more than 2 years)
## 8278 We have well established ML methods (i.e., models in production for more than 2 years)
## 8279 We are exploring ML methods (and may one day put a model into production)
## 8280 <NA>
## 8281 <NA>
## 8282 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8283 We use ML methods for generating insights (but do not put working models into production)
## 8284 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8285 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8286 We use ML methods for generating insights (but do not put working models into production)
## 8287 <NA>
## 8288 <NA>
## 8289 We use ML methods for generating insights (but do not put working models into production)
## 8290 We use ML methods for generating insights (but do not put working models into production)
## 8291 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8292 <NA>
## 8293 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8294 We use ML methods for generating insights (but do not put working models into production)
## 8295 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8296 I do not know
## 8297 We are exploring ML methods (and may one day put a model into production)
## 8298 I do not know
## 8299 We have well established ML methods (i.e., models in production for more than 2 years)
## 8300 We use ML methods for generating insights (but do not put working models into production)
## 8301 <NA>
## 8302 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8303 No (we do not use ML methods)
## 8304 <NA>
## 8305 We have well established ML methods (i.e., models in production for more than 2 years)
## 8306 <NA>
## 8307 We use ML methods for generating insights (but do not put working models into production)
## 8308 No (we do not use ML methods)
## 8309 <NA>
## 8310 No (we do not use ML methods)
## 8311 I do not know
## 8312 No (we do not use ML methods)
## 8313 We have well established ML methods (i.e., models in production for more than 2 years)
## 8314 We use ML methods for generating insights (but do not put working models into production)
## 8315 We use ML methods for generating insights (but do not put working models into production)
## 8316 We are exploring ML methods (and may one day put a model into production)
## 8317 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8318 We are exploring ML methods (and may one day put a model into production)
## 8319 I do not know
## 8320 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8321 <NA>
## 8322 <NA>
## 8323 We are exploring ML methods (and may one day put a model into production)
## 8324 <NA>
## 8325 We are exploring ML methods (and may one day put a model into production)
## 8326 <NA>
## 8327 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8328 We have well established ML methods (i.e., models in production for more than 2 years)
## 8329 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8330 <NA>
## 8331 No (we do not use ML methods)
## 8332 We are exploring ML methods (and may one day put a model into production)
## 8333 No (we do not use ML methods)
## 8334 We have well established ML methods (i.e., models in production for more than 2 years)
## 8335 <NA>
## 8336 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8337 We are exploring ML methods (and may one day put a model into production)
## 8338 No (we do not use ML methods)
## 8339 We are exploring ML methods (and may one day put a model into production)
## 8340 We use ML methods for generating insights (but do not put working models into production)
## 8341 <NA>
## 8342 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8343 We are exploring ML methods (and may one day put a model into production)
## 8344 I do not know
## 8345 No (we do not use ML methods)
## 8346 We are exploring ML methods (and may one day put a model into production)
## 8347 No (we do not use ML methods)
## 8348 No (we do not use ML methods)
## 8349 <NA>
## 8350 <NA>
## 8351 <NA>
## 8352 No (we do not use ML methods)
## 8353 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8354 No (we do not use ML methods)
## 8355 We have well established ML methods (i.e., models in production for more than 2 years)
## 8356 <NA>
## 8357 We have well established ML methods (i.e., models in production for more than 2 years)
## 8358 <NA>
## 8359 I do not know
## 8360 We use ML methods for generating insights (but do not put working models into production)
## 8361 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8362 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8363 We have well established ML methods (i.e., models in production for more than 2 years)
## 8364 No (we do not use ML methods)
## 8365 <NA>
## 8366 <NA>
## 8367 We have well established ML methods (i.e., models in production for more than 2 years)
## 8368 We have well established ML methods (i.e., models in production for more than 2 years)
## 8369 We use ML methods for generating insights (but do not put working models into production)
## 8370 We use ML methods for generating insights (but do not put working models into production)
## 8371 We have well established ML methods (i.e., models in production for more than 2 years)
## 8372 I do not know
## 8373 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8374 <NA>
## 8375 We have well established ML methods (i.e., models in production for more than 2 years)
## 8376 We are exploring ML methods (and may one day put a model into production)
## 8377 We are exploring ML methods (and may one day put a model into production)
## 8378 <NA>
## 8379 <NA>
## 8380 <NA>
## 8381 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8382 <NA>
## 8383 <NA>
## 8384 No (we do not use ML methods)
## 8385 We are exploring ML methods (and may one day put a model into production)
## 8386 We have well established ML methods (i.e., models in production for more than 2 years)
## 8387 We are exploring ML methods (and may one day put a model into production)
## 8388 We have well established ML methods (i.e., models in production for more than 2 years)
## 8389 We use ML methods for generating insights (but do not put working models into production)
## 8390 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8391 We are exploring ML methods (and may one day put a model into production)
## 8392 <NA>
## 8393 We use ML methods for generating insights (but do not put working models into production)
## 8394 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8395 <NA>
## 8396 We have well established ML methods (i.e., models in production for more than 2 years)
## 8397 We are exploring ML methods (and may one day put a model into production)
## 8398 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8399 I do not know
## 8400 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8401 No (we do not use ML methods)
## 8402 We have well established ML methods (i.e., models in production for more than 2 years)
## 8403 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8404 No (we do not use ML methods)
## 8405 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8406 We are exploring ML methods (and may one day put a model into production)
## 8407 I do not know
## 8408 No (we do not use ML methods)
## 8409 I do not know
## 8410 We are exploring ML methods (and may one day put a model into production)
## 8411 We are exploring ML methods (and may one day put a model into production)
## 8412 We have well established ML methods (i.e., models in production for more than 2 years)
## 8413 I do not know
## 8414 No (we do not use ML methods)
## 8415 We are exploring ML methods (and may one day put a model into production)
## 8416 No (we do not use ML methods)
## 8417 We have well established ML methods (i.e., models in production for more than 2 years)
## 8418 <NA>
## 8419 <NA>
## 8420 <NA>
## 8421 We are exploring ML methods (and may one day put a model into production)
## 8422 We are exploring ML methods (and may one day put a model into production)
## 8423 <NA>
## 8424 We have well established ML methods (i.e., models in production for more than 2 years)
## 8425 <NA>
## 8426 We are exploring ML methods (and may one day put a model into production)
## 8427 <NA>
## 8428 We are exploring ML methods (and may one day put a model into production)
## 8429 <NA>
## 8430 We have well established ML methods (i.e., models in production for more than 2 years)
## 8431 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8432 No (we do not use ML methods)
## 8433 We have well established ML methods (i.e., models in production for more than 2 years)
## 8434 We have well established ML methods (i.e., models in production for more than 2 years)
## 8435 We have well established ML methods (i.e., models in production for more than 2 years)
## 8436 We have well established ML methods (i.e., models in production for more than 2 years)
## 8437 No (we do not use ML methods)
## 8438 <NA>
## 8439 <NA>
## 8440 We have well established ML methods (i.e., models in production for more than 2 years)
## 8441 We are exploring ML methods (and may one day put a model into production)
## 8442 No (we do not use ML methods)
## 8443 We have well established ML methods (i.e., models in production for more than 2 years)
## 8444 We are exploring ML methods (and may one day put a model into production)
## 8445 We are exploring ML methods (and may one day put a model into production)
## 8446 We are exploring ML methods (and may one day put a model into production)
## 8447 We are exploring ML methods (and may one day put a model into production)
## 8448 We have well established ML methods (i.e., models in production for more than 2 years)
## 8449 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8450 <NA>
## 8451 No (we do not use ML methods)
## 8452 We are exploring ML methods (and may one day put a model into production)
## 8453 We use ML methods for generating insights (but do not put working models into production)
## 8454 We are exploring ML methods (and may one day put a model into production)
## 8455 We have well established ML methods (i.e., models in production for more than 2 years)
## 8456 <NA>
## 8457 <NA>
## 8458 I do not know
## 8459 <NA>
## 8460 I do not know
## 8461 <NA>
## 8462 No (we do not use ML methods)
## 8463 No (we do not use ML methods)
## 8464 We are exploring ML methods (and may one day put a model into production)
## 8465 We use ML methods for generating insights (but do not put working models into production)
## 8466 We use ML methods for generating insights (but do not put working models into production)
## 8467 <NA>
## 8468 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8469 <NA>
## 8470 We have well established ML methods (i.e., models in production for more than 2 years)
## 8471 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8472 We have well established ML methods (i.e., models in production for more than 2 years)
## 8473 We are exploring ML methods (and may one day put a model into production)
## 8474 <NA>
## 8475 We use ML methods for generating insights (but do not put working models into production)
## 8476 No (we do not use ML methods)
## 8477 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8478 We use ML methods for generating insights (but do not put working models into production)
## 8479 I do not know
## 8480 No (we do not use ML methods)
## 8481 We have well established ML methods (i.e., models in production for more than 2 years)
## 8482 I do not know
## 8483 I do not know
## 8484 We are exploring ML methods (and may one day put a model into production)
## 8485 No (we do not use ML methods)
## 8486 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8487 <NA>
## 8488 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8489 We are exploring ML methods (and may one day put a model into production)
## 8490 <NA>
## 8491 We have well established ML methods (i.e., models in production for more than 2 years)
## 8492 <NA>
## 8493 We have well established ML methods (i.e., models in production for more than 2 years)
## 8494 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8495 We use ML methods for generating insights (but do not put working models into production)
## 8496 <NA>
## 8497 We are exploring ML methods (and may one day put a model into production)
## 8498 No (we do not use ML methods)
## 8499 We are exploring ML methods (and may one day put a model into production)
## 8500 We have well established ML methods (i.e., models in production for more than 2 years)
## 8501 We are exploring ML methods (and may one day put a model into production)
## 8502 We use ML methods for generating insights (but do not put working models into production)
## 8503 <NA>
## 8504 We have well established ML methods (i.e., models in production for more than 2 years)
## 8505 <NA>
## 8506 We are exploring ML methods (and may one day put a model into production)
## 8507 No (we do not use ML methods)
## 8508 <NA>
## 8509 We use ML methods for generating insights (but do not put working models into production)
## 8510 We use ML methods for generating insights (but do not put working models into production)
## 8511 We are exploring ML methods (and may one day put a model into production)
## 8512 <NA>
## 8513 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8514 We are exploring ML methods (and may one day put a model into production)
## 8515 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8516 We are exploring ML methods (and may one day put a model into production)
## 8517 We are exploring ML methods (and may one day put a model into production)
## 8518 We have well established ML methods (i.e., models in production for more than 2 years)
## 8519 <NA>
## 8520 We have well established ML methods (i.e., models in production for more than 2 years)
## 8521 <NA>
## 8522 No (we do not use ML methods)
## 8523 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8524 <NA>
## 8525 No (we do not use ML methods)
## 8526 <NA>
## 8527 We use ML methods for generating insights (but do not put working models into production)
## 8528 <NA>
## 8529 <NA>
## 8530 No (we do not use ML methods)
## 8531 No (we do not use ML methods)
## 8532 We use ML methods for generating insights (but do not put working models into production)
## 8533 We are exploring ML methods (and may one day put a model into production)
## 8534 We are exploring ML methods (and may one day put a model into production)
## 8535 We are exploring ML methods (and may one day put a model into production)
## 8536 We have well established ML methods (i.e., models in production for more than 2 years)
## 8537 We have well established ML methods (i.e., models in production for more than 2 years)
## 8538 <NA>
## 8539 <NA>
## 8540 No (we do not use ML methods)
## 8541 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8542 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8543 <NA>
## 8544 <NA>
## 8545 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8546 I do not know
## 8547 <NA>
## 8548 No (we do not use ML methods)
## 8549 We are exploring ML methods (and may one day put a model into production)
## 8550 <NA>
## 8551 We use ML methods for generating insights (but do not put working models into production)
## 8552 I do not know
## 8553 We are exploring ML methods (and may one day put a model into production)
## 8554 We use ML methods for generating insights (but do not put working models into production)
## 8555 We are exploring ML methods (and may one day put a model into production)
## 8556 <NA>
## 8557 We have well established ML methods (i.e., models in production for more than 2 years)
## 8558 <NA>
## 8559 <NA>
## 8560 No (we do not use ML methods)
## 8561 No (we do not use ML methods)
## 8562 No (we do not use ML methods)
## 8563 I do not know
## 8564 We are exploring ML methods (and may one day put a model into production)
## 8565 <NA>
## 8566 No (we do not use ML methods)
## 8567 No (we do not use ML methods)
## 8568 <NA>
## 8569 We use ML methods for generating insights (but do not put working models into production)
## 8570 I do not know
## 8571 <NA>
## 8572 <NA>
## 8573 No (we do not use ML methods)
## 8574 No (we do not use ML methods)
## 8575 We use ML methods for generating insights (but do not put working models into production)
## 8576 We have well established ML methods (i.e., models in production for more than 2 years)
## 8577 No (we do not use ML methods)
## 8578 I do not know
## 8579 <NA>
## 8580 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8581 <NA>
## 8582 We use ML methods for generating insights (but do not put working models into production)
## 8583 We are exploring ML methods (and may one day put a model into production)
## 8584 No (we do not use ML methods)
## 8585 No (we do not use ML methods)
## 8586 <NA>
## 8587 No (we do not use ML methods)
## 8588 We are exploring ML methods (and may one day put a model into production)
## 8589 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8590 We are exploring ML methods (and may one day put a model into production)
## 8591 <NA>
## 8592 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8593 No (we do not use ML methods)
## 8594 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8595 <NA>
## 8596 No (we do not use ML methods)
## 8597 We are exploring ML methods (and may one day put a model into production)
## 8598 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8599 We are exploring ML methods (and may one day put a model into production)
## 8600 No (we do not use ML methods)
## 8601 <NA>
## 8602 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8603 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8604 No (we do not use ML methods)
## 8605 No (we do not use ML methods)
## 8606 We are exploring ML methods (and may one day put a model into production)
## 8607 We are exploring ML methods (and may one day put a model into production)
## 8608 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8609 I do not know
## 8610 No (we do not use ML methods)
## 8611 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8612 No (we do not use ML methods)
## 8613 No (we do not use ML methods)
## 8614 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8615 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8616 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8617 We are exploring ML methods (and may one day put a model into production)
## 8618 We are exploring ML methods (and may one day put a model into production)
## 8619 I do not know
## 8620 <NA>
## 8621 I do not know
## 8622 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8623 No (we do not use ML methods)
## 8624 We are exploring ML methods (and may one day put a model into production)
## 8625 We are exploring ML methods (and may one day put a model into production)
## 8626 <NA>
## 8627 No (we do not use ML methods)
## 8628 We have well established ML methods (i.e., models in production for more than 2 years)
## 8629 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8630 <NA>
## 8631 We are exploring ML methods (and may one day put a model into production)
## 8632 I do not know
## 8633 No (we do not use ML methods)
## 8634 We have well established ML methods (i.e., models in production for more than 2 years)
## 8635 We are exploring ML methods (and may one day put a model into production)
## 8636 <NA>
## 8637 We use ML methods for generating insights (but do not put working models into production)
## 8638 We have well established ML methods (i.e., models in production for more than 2 years)
## 8639 <NA>
## 8640 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8641 No (we do not use ML methods)
## 8642 <NA>
## 8643 I do not know
## 8644 We have well established ML methods (i.e., models in production for more than 2 years)
## 8645 We are exploring ML methods (and may one day put a model into production)
## 8646 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8647 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8648 We are exploring ML methods (and may one day put a model into production)
## 8649 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8650 <NA>
## 8651 We have well established ML methods (i.e., models in production for more than 2 years)
## 8652 <NA>
## 8653 <NA>
## 8654 No (we do not use ML methods)
## 8655 <NA>
## 8656 We have well established ML methods (i.e., models in production for more than 2 years)
## 8657 We are exploring ML methods (and may one day put a model into production)
## 8658 We have well established ML methods (i.e., models in production for more than 2 years)
## 8659 No (we do not use ML methods)
## 8660 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8661 We are exploring ML methods (and may one day put a model into production)
## 8662 <NA>
## 8663 <NA>
## 8664 We use ML methods for generating insights (but do not put working models into production)
## 8665 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8666 <NA>
## 8667 We have well established ML methods (i.e., models in production for more than 2 years)
## 8668 No (we do not use ML methods)
## 8669 <NA>
## 8670 I do not know
## 8671 <NA>
## 8672 No (we do not use ML methods)
## 8673 We use ML methods for generating insights (but do not put working models into production)
## 8674 No (we do not use ML methods)
## 8675 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8676 <NA>
## 8677 <NA>
## 8678 No (we do not use ML methods)
## 8679 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8680 <NA>
## 8681 We are exploring ML methods (and may one day put a model into production)
## 8682 I do not know
## 8683 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8684 <NA>
## 8685 We are exploring ML methods (and may one day put a model into production)
## 8686 No (we do not use ML methods)
## 8687 We are exploring ML methods (and may one day put a model into production)
## 8688 No (we do not use ML methods)
## 8689 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8690 We use ML methods for generating insights (but do not put working models into production)
## 8691 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8692 We use ML methods for generating insights (but do not put working models into production)
## 8693 No (we do not use ML methods)
## 8694 We use ML methods for generating insights (but do not put working models into production)
## 8695 <NA>
## 8696 We use ML methods for generating insights (but do not put working models into production)
## 8697 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8698 We have well established ML methods (i.e., models in production for more than 2 years)
## 8699 We have well established ML methods (i.e., models in production for more than 2 years)
## 8700 <NA>
## 8701 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8702 No (we do not use ML methods)
## 8703 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8704 We use ML methods for generating insights (but do not put working models into production)
## 8705 We are exploring ML methods (and may one day put a model into production)
## 8706 We are exploring ML methods (and may one day put a model into production)
## 8707 We have well established ML methods (i.e., models in production for more than 2 years)
## 8708 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8709 We are exploring ML methods (and may one day put a model into production)
## 8710 We are exploring ML methods (and may one day put a model into production)
## 8711 <NA>
## 8712 <NA>
## 8713 I do not know
## 8714 We are exploring ML methods (and may one day put a model into production)
## 8715 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8716 <NA>
## 8717 We are exploring ML methods (and may one day put a model into production)
## 8718 No (we do not use ML methods)
## 8719 No (we do not use ML methods)
## 8720 We are exploring ML methods (and may one day put a model into production)
## 8721 <NA>
## 8722 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8723 We are exploring ML methods (and may one day put a model into production)
## 8724 I do not know
## 8725 <NA>
## 8726 We are exploring ML methods (and may one day put a model into production)
## 8727 We have well established ML methods (i.e., models in production for more than 2 years)
## 8728 No (we do not use ML methods)
## 8729 <NA>
## 8730 We are exploring ML methods (and may one day put a model into production)
## 8731 We use ML methods for generating insights (but do not put working models into production)
## 8732 We use ML methods for generating insights (but do not put working models into production)
## 8733 We use ML methods for generating insights (but do not put working models into production)
## 8734 <NA>
## 8735 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8736 <NA>
## 8737 We are exploring ML methods (and may one day put a model into production)
## 8738 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8739 No (we do not use ML methods)
## 8740 We use ML methods for generating insights (but do not put working models into production)
## 8741 We use ML methods for generating insights (but do not put working models into production)
## 8742 We are exploring ML methods (and may one day put a model into production)
## 8743 <NA>
## 8744 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8745 <NA>
## 8746 <NA>
## 8747 No (we do not use ML methods)
## 8748 No (we do not use ML methods)
## 8749 We have well established ML methods (i.e., models in production for more than 2 years)
## 8750 We have well established ML methods (i.e., models in production for more than 2 years)
## 8751 We use ML methods for generating insights (but do not put working models into production)
## 8752 <NA>
## 8753 No (we do not use ML methods)
## 8754 We use ML methods for generating insights (but do not put working models into production)
## 8755 I do not know
## 8756 <NA>
## 8757 No (we do not use ML methods)
## 8758 We have well established ML methods (i.e., models in production for more than 2 years)
## 8759 We have well established ML methods (i.e., models in production for more than 2 years)
## 8760 <NA>
## 8761 No (we do not use ML methods)
## 8762 We use ML methods for generating insights (but do not put working models into production)
## 8763 No (we do not use ML methods)
## 8764 We have well established ML methods (i.e., models in production for more than 2 years)
## 8765 No (we do not use ML methods)
## 8766 No (we do not use ML methods)
## 8767 We have well established ML methods (i.e., models in production for more than 2 years)
## 8768 No (we do not use ML methods)
## 8769 We have well established ML methods (i.e., models in production for more than 2 years)
## 8770 <NA>
## 8771 We are exploring ML methods (and may one day put a model into production)
## 8772 We have well established ML methods (i.e., models in production for more than 2 years)
## 8773 We use ML methods for generating insights (but do not put working models into production)
## 8774 <NA>
## 8775 We use ML methods for generating insights (but do not put working models into production)
## 8776 We are exploring ML methods (and may one day put a model into production)
## 8777 <NA>
## 8778 We have well established ML methods (i.e., models in production for more than 2 years)
## 8779 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8780 <NA>
## 8781 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8782 <NA>
## 8783 <NA>
## 8784 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8785 We use ML methods for generating insights (but do not put working models into production)
## 8786 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8787 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8788 I do not know
## 8789 No (we do not use ML methods)
## 8790 We have well established ML methods (i.e., models in production for more than 2 years)
## 8791 No (we do not use ML methods)
## 8792 We have well established ML methods (i.e., models in production for more than 2 years)
## 8793 No (we do not use ML methods)
## 8794 We are exploring ML methods (and may one day put a model into production)
## 8795 We are exploring ML methods (and may one day put a model into production)
## 8796 <NA>
## 8797 We use ML methods for generating insights (but do not put working models into production)
## 8798 No (we do not use ML methods)
## 8799 <NA>
## 8800 We use ML methods for generating insights (but do not put working models into production)
## 8801 I do not know
## 8802 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8803 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8804 We are exploring ML methods (and may one day put a model into production)
## 8805 I do not know
## 8806 I do not know
## 8807 We are exploring ML methods (and may one day put a model into production)
## 8808 I do not know
## 8809 <NA>
## 8810 <NA>
## 8811 <NA>
## 8812 No (we do not use ML methods)
## 8813 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8814 We are exploring ML methods (and may one day put a model into production)
## 8815 <NA>
## 8816 We have well established ML methods (i.e., models in production for more than 2 years)
## 8817 No (we do not use ML methods)
## 8818 We are exploring ML methods (and may one day put a model into production)
## 8819 We use ML methods for generating insights (but do not put working models into production)
## 8820 No (we do not use ML methods)
## 8821 <NA>
## 8822 No (we do not use ML methods)
## 8823 We use ML methods for generating insights (but do not put working models into production)
## 8824 We are exploring ML methods (and may one day put a model into production)
## 8825 No (we do not use ML methods)
## 8826 We are exploring ML methods (and may one day put a model into production)
## 8827 We have well established ML methods (i.e., models in production for more than 2 years)
## 8828 <NA>
## 8829 <NA>
## 8830 I do not know
## 8831 We use ML methods for generating insights (but do not put working models into production)
## 8832 I do not know
## 8833 No (we do not use ML methods)
## 8834 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8835 <NA>
## 8836 We have well established ML methods (i.e., models in production for more than 2 years)
## 8837 We have well established ML methods (i.e., models in production for more than 2 years)
## 8838 I do not know
## 8839 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8840 We have well established ML methods (i.e., models in production for more than 2 years)
## 8841 No (we do not use ML methods)
## 8842 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8843 <NA>
## 8844 No (we do not use ML methods)
## 8845 We are exploring ML methods (and may one day put a model into production)
## 8846 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8847 We use ML methods for generating insights (but do not put working models into production)
## 8848 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8849 <NA>
## 8850 <NA>
## 8851 No (we do not use ML methods)
## 8852 <NA>
## 8853 We have well established ML methods (i.e., models in production for more than 2 years)
## 8854 We use ML methods for generating insights (but do not put working models into production)
## 8855 No (we do not use ML methods)
## 8856 No (we do not use ML methods)
## 8857 We use ML methods for generating insights (but do not put working models into production)
## 8858 No (we do not use ML methods)
## 8859 <NA>
## 8860 <NA>
## 8861 We have well established ML methods (i.e., models in production for more than 2 years)
## 8862 We are exploring ML methods (and may one day put a model into production)
## 8863 We are exploring ML methods (and may one day put a model into production)
## 8864 <NA>
## 8865 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8866 We have well established ML methods (i.e., models in production for more than 2 years)
## 8867 We are exploring ML methods (and may one day put a model into production)
## 8868 We have well established ML methods (i.e., models in production for more than 2 years)
## 8869 We have well established ML methods (i.e., models in production for more than 2 years)
## 8870 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8871 We are exploring ML methods (and may one day put a model into production)
## 8872 <NA>
## 8873 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8874 We use ML methods for generating insights (but do not put working models into production)
## 8875 <NA>
## 8876 No (we do not use ML methods)
## 8877 We are exploring ML methods (and may one day put a model into production)
## 8878 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8879 We have well established ML methods (i.e., models in production for more than 2 years)
## 8880 We are exploring ML methods (and may one day put a model into production)
## 8881 We have well established ML methods (i.e., models in production for more than 2 years)
## 8882 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8883 We have well established ML methods (i.e., models in production for more than 2 years)
## 8884 We are exploring ML methods (and may one day put a model into production)
## 8885 We use ML methods for generating insights (but do not put working models into production)
## 8886 <NA>
## 8887 We are exploring ML methods (and may one day put a model into production)
## 8888 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8889 No (we do not use ML methods)
## 8890 We have well established ML methods (i.e., models in production for more than 2 years)
## 8891 We are exploring ML methods (and may one day put a model into production)
## 8892 We are exploring ML methods (and may one day put a model into production)
## 8893 We use ML methods for generating insights (but do not put working models into production)
## 8894 No (we do not use ML methods)
## 8895 We are exploring ML methods (and may one day put a model into production)
## 8896 <NA>
## 8897 <NA>
## 8898 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8899 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8900 <NA>
## 8901 We use ML methods for generating insights (but do not put working models into production)
## 8902 <NA>
## 8903 We are exploring ML methods (and may one day put a model into production)
## 8904 <NA>
## 8905 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8906 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8907 <NA>
## 8908 We are exploring ML methods (and may one day put a model into production)
## 8909 <NA>
## 8910 <NA>
## 8911 We are exploring ML methods (and may one day put a model into production)
## 8912 We use ML methods for generating insights (but do not put working models into production)
## 8913 <NA>
## 8914 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8915 We use ML methods for generating insights (but do not put working models into production)
## 8916 <NA>
## 8917 <NA>
## 8918 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8919 We use ML methods for generating insights (but do not put working models into production)
## 8920 We are exploring ML methods (and may one day put a model into production)
## 8921 We are exploring ML methods (and may one day put a model into production)
## 8922 We have well established ML methods (i.e., models in production for more than 2 years)
## 8923 I do not know
## 8924 We have well established ML methods (i.e., models in production for more than 2 years)
## 8925 <NA>
## 8926 No (we do not use ML methods)
## 8927 We are exploring ML methods (and may one day put a model into production)
## 8928 We are exploring ML methods (and may one day put a model into production)
## 8929 No (we do not use ML methods)
## 8930 We are exploring ML methods (and may one day put a model into production)
## 8931 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8932 We have well established ML methods (i.e., models in production for more than 2 years)
## 8933 We are exploring ML methods (and may one day put a model into production)
## 8934 We are exploring ML methods (and may one day put a model into production)
## 8935 We are exploring ML methods (and may one day put a model into production)
## 8936 We have well established ML methods (i.e., models in production for more than 2 years)
## 8937 <NA>
## 8938 We are exploring ML methods (and may one day put a model into production)
## 8939 We are exploring ML methods (and may one day put a model into production)
## 8940 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8941 We have well established ML methods (i.e., models in production for more than 2 years)
## 8942 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8943 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8944 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8945 We are exploring ML methods (and may one day put a model into production)
## 8946 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8947 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8948 <NA>
## 8949 We are exploring ML methods (and may one day put a model into production)
## 8950 <NA>
## 8951 <NA>
## 8952 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8953 We have well established ML methods (i.e., models in production for more than 2 years)
## 8954 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8955 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8956 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8957 No (we do not use ML methods)
## 8958 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8959 No (we do not use ML methods)
## 8960 We have well established ML methods (i.e., models in production for more than 2 years)
## 8961 No (we do not use ML methods)
## 8962 We use ML methods for generating insights (but do not put working models into production)
## 8963 We are exploring ML methods (and may one day put a model into production)
## 8964 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8965 <NA>
## 8966 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8967 No (we do not use ML methods)
## 8968 <NA>
## 8969 We are exploring ML methods (and may one day put a model into production)
## 8970 We are exploring ML methods (and may one day put a model into production)
## 8971 We have well established ML methods (i.e., models in production for more than 2 years)
## 8972 <NA>
## 8973 No (we do not use ML methods)
## 8974 We have well established ML methods (i.e., models in production for more than 2 years)
## 8975 <NA>
## 8976 We are exploring ML methods (and may one day put a model into production)
## 8977 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8978 We have well established ML methods (i.e., models in production for more than 2 years)
## 8979 <NA>
## 8980 We use ML methods for generating insights (but do not put working models into production)
## 8981 No (we do not use ML methods)
## 8982 I do not know
## 8983 We have well established ML methods (i.e., models in production for more than 2 years)
## 8984 We are exploring ML methods (and may one day put a model into production)
## 8985 We have well established ML methods (i.e., models in production for more than 2 years)
## 8986 No (we do not use ML methods)
## 8987 I do not know
## 8988 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8989 <NA>
## 8990 We use ML methods for generating insights (but do not put working models into production)
## 8991 <NA>
## 8992 We have well established ML methods (i.e., models in production for more than 2 years)
## 8993 We are exploring ML methods (and may one day put a model into production)
## 8994 We are exploring ML methods (and may one day put a model into production)
## 8995 <NA>
## 8996 <NA>
## 8997 We have well established ML methods (i.e., models in production for more than 2 years)
## 8998 We have well established ML methods (i.e., models in production for more than 2 years)
## 8999 We have well established ML methods (i.e., models in production for more than 2 years)
## 9000 No (we do not use ML methods)
## 9001 <NA>
## 9002 We use ML methods for generating insights (but do not put working models into production)
## 9003 We have well established ML methods (i.e., models in production for more than 2 years)
## 9004 <NA>
## 9005 <NA>
## 9006 <NA>
## 9007 We have well established ML methods (i.e., models in production for more than 2 years)
## 9008 We are exploring ML methods (and may one day put a model into production)
## 9009 <NA>
## 9010 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9011 <NA>
## 9012 We are exploring ML methods (and may one day put a model into production)
## 9013 <NA>
## 9014 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9015 We are exploring ML methods (and may one day put a model into production)
## 9016 <NA>
## 9017 We are exploring ML methods (and may one day put a model into production)
## 9018 We have well established ML methods (i.e., models in production for more than 2 years)
## 9019 <NA>
## 9020 We use ML methods for generating insights (but do not put working models into production)
## 9021 <NA>
## 9022 We have well established ML methods (i.e., models in production for more than 2 years)
## 9023 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9024 <NA>
## 9025 We use ML methods for generating insights (but do not put working models into production)
## 9026 We are exploring ML methods (and may one day put a model into production)
## 9027 No (we do not use ML methods)
## 9028 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9029 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9030 <NA>
## 9031 We use ML methods for generating insights (but do not put working models into production)
## 9032 <NA>
## 9033 I do not know
## 9034 We have well established ML methods (i.e., models in production for more than 2 years)
## 9035 <NA>
## 9036 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9037 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9038 No (we do not use ML methods)
## 9039 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9040 <NA>
## 9041 We are exploring ML methods (and may one day put a model into production)
## 9042 <NA>
## 9043 We are exploring ML methods (and may one day put a model into production)
## 9044 We have well established ML methods (i.e., models in production for more than 2 years)
## 9045 We use ML methods for generating insights (but do not put working models into production)
## 9046 <NA>
## 9047 I do not know
## 9048 <NA>
## 9049 We are exploring ML methods (and may one day put a model into production)
## 9050 <NA>
## 9051 We are exploring ML methods (and may one day put a model into production)
## 9052 We have well established ML methods (i.e., models in production for more than 2 years)
## 9053 <NA>
## 9054 <NA>
## 9055 We use ML methods for generating insights (but do not put working models into production)
## 9056 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9057 <NA>
## 9058 We are exploring ML methods (and may one day put a model into production)
## 9059 We are exploring ML methods (and may one day put a model into production)
## 9060 <NA>
## 9061 We are exploring ML methods (and may one day put a model into production)
## 9062 I do not know
## 9063 We have well established ML methods (i.e., models in production for more than 2 years)
## 9064 We are exploring ML methods (and may one day put a model into production)
## 9065 I do not know
## 9066 <NA>
## 9067 No (we do not use ML methods)
## 9068 We are exploring ML methods (and may one day put a model into production)
## 9069 <NA>
## 9070 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9071 <NA>
## 9072 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9073 We use ML methods for generating insights (but do not put working models into production)
## 9074 We are exploring ML methods (and may one day put a model into production)
## 9075 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9076 No (we do not use ML methods)
## 9077 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9078 We use ML methods for generating insights (but do not put working models into production)
## 9079 <NA>
## 9080 We are exploring ML methods (and may one day put a model into production)
## 9081 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9082 <NA>
## 9083 <NA>
## 9084 We are exploring ML methods (and may one day put a model into production)
## 9085 I do not know
## 9086 We use ML methods for generating insights (but do not put working models into production)
## 9087 We have well established ML methods (i.e., models in production for more than 2 years)
## 9088 <NA>
## 9089 <NA>
## 9090 We are exploring ML methods (and may one day put a model into production)
## 9091 <NA>
## 9092 <NA>
## 9093 <NA>
## 9094 No (we do not use ML methods)
## 9095 No (we do not use ML methods)
## 9096 <NA>
## 9097 We have well established ML methods (i.e., models in production for more than 2 years)
## 9098 <NA>
## 9099 No (we do not use ML methods)
## 9100 <NA>
## 9101 <NA>
## 9102 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9103 I do not know
## 9104 <NA>
## 9105 <NA>
## 9106 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9107 We are exploring ML methods (and may one day put a model into production)
## 9108 <NA>
## 9109 <NA>
## 9110 I do not know
## 9111 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9112 We have well established ML methods (i.e., models in production for more than 2 years)
## 9113 We have well established ML methods (i.e., models in production for more than 2 years)
## 9114 We have well established ML methods (i.e., models in production for more than 2 years)
## 9115 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9116 <NA>
## 9117 I do not know
## 9118 <NA>
## 9119 No (we do not use ML methods)
## 9120 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9121 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9122 I do not know
## 9123 <NA>
## 9124 No (we do not use ML methods)
## 9125 We have well established ML methods (i.e., models in production for more than 2 years)
## 9126 <NA>
## 9127 We use ML methods for generating insights (but do not put working models into production)
## 9128 I do not know
## 9129 <NA>
## 9130 <NA>
## 9131 <NA>
## 9132 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9133 We are exploring ML methods (and may one day put a model into production)
## 9134 We are exploring ML methods (and may one day put a model into production)
## 9135 No (we do not use ML methods)
## 9136 No (we do not use ML methods)
## 9137 <NA>
## 9138 We have well established ML methods (i.e., models in production for more than 2 years)
## 9139 No (we do not use ML methods)
## 9140 <NA>
## 9141 No (we do not use ML methods)
## 9142 No (we do not use ML methods)
## 9143 We are exploring ML methods (and may one day put a model into production)
## 9144 We are exploring ML methods (and may one day put a model into production)
## 9145 We use ML methods for generating insights (but do not put working models into production)
## 9146 <NA>
## 9147 <NA>
## 9148 I do not know
## 9149 <NA>
## 9150 No (we do not use ML methods)
## 9151 <NA>
## 9152 No (we do not use ML methods)
## 9153 We use ML methods for generating insights (but do not put working models into production)
## 9154 We use ML methods for generating insights (but do not put working models into production)
## 9155 We have well established ML methods (i.e., models in production for more than 2 years)
## 9156 <NA>
## 9157 No (we do not use ML methods)
## 9158 No (we do not use ML methods)
## 9159 No (we do not use ML methods)
## 9160 <NA>
## 9161 We are exploring ML methods (and may one day put a model into production)
## 9162 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9163 <NA>
## 9164 I do not know
## 9165 <NA>
## 9166 We are exploring ML methods (and may one day put a model into production)
## 9167 We have well established ML methods (i.e., models in production for more than 2 years)
## 9168 We are exploring ML methods (and may one day put a model into production)
## 9169 <NA>
## 9170 <NA>
## 9171 No (we do not use ML methods)
## 9172 <NA>
## 9173 <NA>
## 9174 We have well established ML methods (i.e., models in production for more than 2 years)
## 9175 We are exploring ML methods (and may one day put a model into production)
## 9176 <NA>
## 9177 I do not know
## 9178 We have well established ML methods (i.e., models in production for more than 2 years)
## 9179 I do not know
## 9180 No (we do not use ML methods)
## 9181 We have well established ML methods (i.e., models in production for more than 2 years)
## 9182 We have well established ML methods (i.e., models in production for more than 2 years)
## 9183 <NA>
## 9184 We have well established ML methods (i.e., models in production for more than 2 years)
## 9185 I do not know
## 9186 <NA>
## 9187 We are exploring ML methods (and may one day put a model into production)
## 9188 No (we do not use ML methods)
## 9189 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9190 I do not know
## 9191 We are exploring ML methods (and may one day put a model into production)
## 9192 <NA>
## 9193 <NA>
## 9194 <NA>
## 9195 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9196 <NA>
## 9197 <NA>
## 9198 <NA>
## 9199 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9200 We use ML methods for generating insights (but do not put working models into production)
## 9201 <NA>
## 9202 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9203 We have well established ML methods (i.e., models in production for more than 2 years)
## 9204 <NA>
## 9205 <NA>
## 9206 <NA>
## 9207 We are exploring ML methods (and may one day put a model into production)
## 9208 We are exploring ML methods (and may one day put a model into production)
## 9209 I do not know
## 9210 We have well established ML methods (i.e., models in production for more than 2 years)
## 9211 We use ML methods for generating insights (but do not put working models into production)
## 9212 No (we do not use ML methods)
## 9213 We use ML methods for generating insights (but do not put working models into production)
## 9214 I do not know
## 9215 <NA>
## 9216 We are exploring ML methods (and may one day put a model into production)
## 9217 I do not know
## 9218 <NA>
## 9219 <NA>
## 9220 We are exploring ML methods (and may one day put a model into production)
## 9221 We have well established ML methods (i.e., models in production for more than 2 years)
## 9222 No (we do not use ML methods)
## 9223 <NA>
## 9224 <NA>
## 9225 <NA>
## 9226 <NA>
## 9227 We use ML methods for generating insights (but do not put working models into production)
## 9228 <NA>
## 9229 No (we do not use ML methods)
## 9230 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9231 No (we do not use ML methods)
## 9232 We have well established ML methods (i.e., models in production for more than 2 years)
## 9233 No (we do not use ML methods)
## 9234 <NA>
## 9235 We are exploring ML methods (and may one day put a model into production)
## 9236 <NA>
## 9237 We use ML methods for generating insights (but do not put working models into production)
## 9238 We have well established ML methods (i.e., models in production for more than 2 years)
## 9239 We are exploring ML methods (and may one day put a model into production)
## 9240 <NA>
## 9241 We use ML methods for generating insights (but do not put working models into production)
## 9242 I do not know
## 9243 <NA>
## 9244 <NA>
## 9245 <NA>
## 9246 <NA>
## 9247 We use ML methods for generating insights (but do not put working models into production)
## 9248 No (we do not use ML methods)
## 9249 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9250 <NA>
## 9251 We have well established ML methods (i.e., models in production for more than 2 years)
## 9252 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9253 We are exploring ML methods (and may one day put a model into production)
## 9254 We are exploring ML methods (and may one day put a model into production)
## 9255 We have well established ML methods (i.e., models in production for more than 2 years)
## 9256 No (we do not use ML methods)
## 9257 We have well established ML methods (i.e., models in production for more than 2 years)
## 9258 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9259 <NA>
## 9260 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9261 I do not know
## 9262 We are exploring ML methods (and may one day put a model into production)
## 9263 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9264 We are exploring ML methods (and may one day put a model into production)
## 9265 We are exploring ML methods (and may one day put a model into production)
## 9266 We are exploring ML methods (and may one day put a model into production)
## 9267 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9268 We are exploring ML methods (and may one day put a model into production)
## 9269 <NA>
## 9270 No (we do not use ML methods)
## 9271 <NA>
## 9272 <NA>
## 9273 I do not know
## 9274 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9275 No (we do not use ML methods)
## 9276 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9277 We are exploring ML methods (and may one day put a model into production)
## 9278 <NA>
## 9279 We are exploring ML methods (and may one day put a model into production)
## 9280 <NA>
## 9281 No (we do not use ML methods)
## 9282 We are exploring ML methods (and may one day put a model into production)
## 9283 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9284 We use ML methods for generating insights (but do not put working models into production)
## 9285 <NA>
## 9286 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9287 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9288 <NA>
## 9289 <NA>
## 9290 <NA>
## 9291 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9292 We use ML methods for generating insights (but do not put working models into production)
## 9293 <NA>
## 9294 <NA>
## 9295 We use ML methods for generating insights (but do not put working models into production)
## 9296 I do not know
## 9297 <NA>
## 9298 We have well established ML methods (i.e., models in production for more than 2 years)
## 9299 We are exploring ML methods (and may one day put a model into production)
## 9300 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9301 We have well established ML methods (i.e., models in production for more than 2 years)
## 9302 We have well established ML methods (i.e., models in production for more than 2 years)
## 9303 No (we do not use ML methods)
## 9304 We use ML methods for generating insights (but do not put working models into production)
## 9305 We are exploring ML methods (and may one day put a model into production)
## 9306 <NA>
## 9307 <NA>
## 9308 <NA>
## 9309 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9310 We use ML methods for generating insights (but do not put working models into production)
## 9311 We are exploring ML methods (and may one day put a model into production)
## 9312 We are exploring ML methods (and may one day put a model into production)
## 9313 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9314 <NA>
## 9315 We have well established ML methods (i.e., models in production for more than 2 years)
## 9316 We use ML methods for generating insights (but do not put working models into production)
## 9317 We use ML methods for generating insights (but do not put working models into production)
## 9318 <NA>
## 9319 No (we do not use ML methods)
## 9320 <NA>
## 9321 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9322 We use ML methods for generating insights (but do not put working models into production)
## 9323 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9324 No (we do not use ML methods)
## 9325 We use ML methods for generating insights (but do not put working models into production)
## 9326 <NA>
## 9327 We use ML methods for generating insights (but do not put working models into production)
## 9328 <NA>
## 9329 No (we do not use ML methods)
## 9330 We are exploring ML methods (and may one day put a model into production)
## 9331 We have well established ML methods (i.e., models in production for more than 2 years)
## 9332 No (we do not use ML methods)
## 9333 I do not know
## 9334 No (we do not use ML methods)
## 9335 No (we do not use ML methods)
## 9336 <NA>
## 9337 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9338 We use ML methods for generating insights (but do not put working models into production)
## 9339 I do not know
## 9340 We are exploring ML methods (and may one day put a model into production)
## 9341 <NA>
## 9342 <NA>
## 9343 <NA>
## 9344 No (we do not use ML methods)
## 9345 <NA>
## 9346 We use ML methods for generating insights (but do not put working models into production)
## 9347 No (we do not use ML methods)
## 9348 <NA>
## 9349 No (we do not use ML methods)
## 9350 We are exploring ML methods (and may one day put a model into production)
## 9351 <NA>
## 9352 <NA>
## 9353 <NA>
## 9354 I do not know
## 9355 We are exploring ML methods (and may one day put a model into production)
## 9356 No (we do not use ML methods)
## 9357 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9358 We are exploring ML methods (and may one day put a model into production)
## 9359 No (we do not use ML methods)
## 9360 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9361 We have well established ML methods (i.e., models in production for more than 2 years)
## 9362 <NA>
## 9363 We have well established ML methods (i.e., models in production for more than 2 years)
## 9364 We are exploring ML methods (and may one day put a model into production)
## 9365 We are exploring ML methods (and may one day put a model into production)
## 9366 I do not know
## 9367 <NA>
## 9368 No (we do not use ML methods)
## 9369 I do not know
## 9370 No (we do not use ML methods)
## 9371 No (we do not use ML methods)
## 9372 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9373 No (we do not use ML methods)
## 9374 We are exploring ML methods (and may one day put a model into production)
## 9375 We use ML methods for generating insights (but do not put working models into production)
## 9376 We have well established ML methods (i.e., models in production for more than 2 years)
## 9377 We have well established ML methods (i.e., models in production for more than 2 years)
## 9378 I do not know
## 9379 We are exploring ML methods (and may one day put a model into production)
## 9380 <NA>
## 9381 No (we do not use ML methods)
## 9382 <NA>
## 9383 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9384 No (we do not use ML methods)
## 9385 We use ML methods for generating insights (but do not put working models into production)
## 9386 No (we do not use ML methods)
## 9387 <NA>
## 9388 We use ML methods for generating insights (but do not put working models into production)
## 9389 <NA>
## 9390 <NA>
## 9391 We are exploring ML methods (and may one day put a model into production)
## 9392 We are exploring ML methods (and may one day put a model into production)
## 9393 <NA>
## 9394 We have well established ML methods (i.e., models in production for more than 2 years)
## 9395 We have well established ML methods (i.e., models in production for more than 2 years)
## 9396 We are exploring ML methods (and may one day put a model into production)
## 9397 I do not know
## 9398 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9399 No (we do not use ML methods)
## 9400 We are exploring ML methods (and may one day put a model into production)
## 9401 No (we do not use ML methods)
## 9402 <NA>
## 9403 We are exploring ML methods (and may one day put a model into production)
## 9404 We are exploring ML methods (and may one day put a model into production)
## 9405 We are exploring ML methods (and may one day put a model into production)
## 9406 We have well established ML methods (i.e., models in production for more than 2 years)
## 9407 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9408 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9409 We are exploring ML methods (and may one day put a model into production)
## 9410 No (we do not use ML methods)
## 9411 We are exploring ML methods (and may one day put a model into production)
## 9412 We are exploring ML methods (and may one day put a model into production)
## 9413 We have well established ML methods (i.e., models in production for more than 2 years)
## 9414 We have well established ML methods (i.e., models in production for more than 2 years)
## 9415 We are exploring ML methods (and may one day put a model into production)
## 9416 No (we do not use ML methods)
## 9417 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9418 <NA>
## 9419 We are exploring ML methods (and may one day put a model into production)
## 9420 <NA>
## 9421 No (we do not use ML methods)
## 9422 <NA>
## 9423 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9424 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9425 We are exploring ML methods (and may one day put a model into production)
## 9426 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9427 We have well established ML methods (i.e., models in production for more than 2 years)
## 9428 We use ML methods for generating insights (but do not put working models into production)
## 9429 We use ML methods for generating insights (but do not put working models into production)
## 9430 <NA>
## 9431 I do not know
## 9432 No (we do not use ML methods)
## 9433 No (we do not use ML methods)
## 9434 We are exploring ML methods (and may one day put a model into production)
## 9435 We are exploring ML methods (and may one day put a model into production)
## 9436 No (we do not use ML methods)
## 9437 No (we do not use ML methods)
## 9438 <NA>
## 9439 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9440 We are exploring ML methods (and may one day put a model into production)
## 9441 <NA>
## 9442 <NA>
## 9443 I do not know
## 9444 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9445 <NA>
## 9446 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9447 We are exploring ML methods (and may one day put a model into production)
## 9448 We have well established ML methods (i.e., models in production for more than 2 years)
## 9449 We are exploring ML methods (and may one day put a model into production)
## 9450 I do not know
## 9451 We have well established ML methods (i.e., models in production for more than 2 years)
## 9452 We have well established ML methods (i.e., models in production for more than 2 years)
## 9453 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9454 <NA>
## 9455 <NA>
## 9456 We are exploring ML methods (and may one day put a model into production)
## 9457 We are exploring ML methods (and may one day put a model into production)
## 9458 We have well established ML methods (i.e., models in production for more than 2 years)
## 9459 No (we do not use ML methods)
## 9460 We have well established ML methods (i.e., models in production for more than 2 years)
## 9461 We use ML methods for generating insights (but do not put working models into production)
## 9462 We are exploring ML methods (and may one day put a model into production)
## 9463 We are exploring ML methods (and may one day put a model into production)
## 9464 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9465 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9466 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9467 <NA>
## 9468 We have well established ML methods (i.e., models in production for more than 2 years)
## 9469 No (we do not use ML methods)
## 9470 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9471 No (we do not use ML methods)
## 9472 <NA>
## 9473 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9474 No (we do not use ML methods)
## 9475 I do not know
## 9476 No (we do not use ML methods)
## 9477 <NA>
## 9478 We have well established ML methods (i.e., models in production for more than 2 years)
## 9479 <NA>
## 9480 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9481 <NA>
## 9482 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9483 We use ML methods for generating insights (but do not put working models into production)
## 9484 We are exploring ML methods (and may one day put a model into production)
## 9485 We are exploring ML methods (and may one day put a model into production)
## 9486 No (we do not use ML methods)
## 9487 <NA>
## 9488 No (we do not use ML methods)
## 9489 We use ML methods for generating insights (but do not put working models into production)
## 9490 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9491 <NA>
## 9492 <NA>
## 9493 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9494 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9495 <NA>
## 9496 We have well established ML methods (i.e., models in production for more than 2 years)
## 9497 We use ML methods for generating insights (but do not put working models into production)
## 9498 We have well established ML methods (i.e., models in production for more than 2 years)
## 9499 No (we do not use ML methods)
## 9500 I do not know
## 9501 We have well established ML methods (i.e., models in production for more than 2 years)
## 9502 No (we do not use ML methods)
## 9503 No (we do not use ML methods)
## 9504 We are exploring ML methods (and may one day put a model into production)
## 9505 No (we do not use ML methods)
## 9506 <NA>
## 9507 We have well established ML methods (i.e., models in production for more than 2 years)
## 9508 We use ML methods for generating insights (but do not put working models into production)
## 9509 We are exploring ML methods (and may one day put a model into production)
## 9510 We have well established ML methods (i.e., models in production for more than 2 years)
## 9511 We use ML methods for generating insights (but do not put working models into production)
## 9512 We are exploring ML methods (and may one day put a model into production)
## 9513 We are exploring ML methods (and may one day put a model into production)
## 9514 No (we do not use ML methods)
## 9515 We have well established ML methods (i.e., models in production for more than 2 years)
## 9516 We are exploring ML methods (and may one day put a model into production)
## 9517 We are exploring ML methods (and may one day put a model into production)
## 9518 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9519 We are exploring ML methods (and may one day put a model into production)
## 9520 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9521 We are exploring ML methods (and may one day put a model into production)
## 9522 We use ML methods for generating insights (but do not put working models into production)
## 9523 We are exploring ML methods (and may one day put a model into production)
## 9524 We are exploring ML methods (and may one day put a model into production)
## 9525 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9526 <NA>
## 9527 We are exploring ML methods (and may one day put a model into production)
## 9528 We are exploring ML methods (and may one day put a model into production)
## 9529 No (we do not use ML methods)
## 9530 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9531 No (we do not use ML methods)
## 9532 No (we do not use ML methods)
## 9533 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9534 We have well established ML methods (i.e., models in production for more than 2 years)
## 9535 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9536 <NA>
## 9537 We use ML methods for generating insights (but do not put working models into production)
## 9538 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9539 No (we do not use ML methods)
## 9540 We have well established ML methods (i.e., models in production for more than 2 years)
## 9541 <NA>
## 9542 No (we do not use ML methods)
## 9543 No (we do not use ML methods)
## 9544 <NA>
## 9545 We use ML methods for generating insights (but do not put working models into production)
## 9546 No (we do not use ML methods)
## 9547 <NA>
## 9548 <NA>
## 9549 No (we do not use ML methods)
## 9550 No (we do not use ML methods)
## 9551 <NA>
## 9552 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9553 We are exploring ML methods (and may one day put a model into production)
## 9554 No (we do not use ML methods)
## 9555 We have well established ML methods (i.e., models in production for more than 2 years)
## 9556 We have well established ML methods (i.e., models in production for more than 2 years)
## 9557 I do not know
## 9558 <NA>
## 9559 <NA>
## 9560 We are exploring ML methods (and may one day put a model into production)
## 9561 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9562 <NA>
## 9563 No (we do not use ML methods)
## 9564 We are exploring ML methods (and may one day put a model into production)
## 9565 We have well established ML methods (i.e., models in production for more than 2 years)
## 9566 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9567 <NA>
## 9568 We have well established ML methods (i.e., models in production for more than 2 years)
## 9569 We have well established ML methods (i.e., models in production for more than 2 years)
## 9570 We are exploring ML methods (and may one day put a model into production)
## 9571 We are exploring ML methods (and may one day put a model into production)
## 9572 We are exploring ML methods (and may one day put a model into production)
## 9573 No (we do not use ML methods)
## 9574 We have well established ML methods (i.e., models in production for more than 2 years)
## 9575 No (we do not use ML methods)
## 9576 <NA>
## 9577 I do not know
## 9578 <NA>
## 9579 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9580 No (we do not use ML methods)
## 9581 No (we do not use ML methods)
## 9582 No (we do not use ML methods)
## 9583 We have well established ML methods (i.e., models in production for more than 2 years)
## 9584 I do not know
## 9585 We have well established ML methods (i.e., models in production for more than 2 years)
## 9586 We are exploring ML methods (and may one day put a model into production)
## 9587 We are exploring ML methods (and may one day put a model into production)
## 9588 <NA>
## 9589 We are exploring ML methods (and may one day put a model into production)
## 9590 We are exploring ML methods (and may one day put a model into production)
## 9591 No (we do not use ML methods)
## 9592 <NA>
## 9593 We use ML methods for generating insights (but do not put working models into production)
## 9594 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9595 We are exploring ML methods (and may one day put a model into production)
## 9596 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9597 We have well established ML methods (i.e., models in production for more than 2 years)
## 9598 We have well established ML methods (i.e., models in production for more than 2 years)
## 9599 We use ML methods for generating insights (but do not put working models into production)
## 9600 <NA>
## 9601 <NA>
## 9602 We use ML methods for generating insights (but do not put working models into production)
## 9603 We have well established ML methods (i.e., models in production for more than 2 years)
## 9604 <NA>
## 9605 No (we do not use ML methods)
## 9606 We are exploring ML methods (and may one day put a model into production)
## 9607 <NA>
## 9608 <NA>
## 9609 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9610 <NA>
## 9611 We have well established ML methods (i.e., models in production for more than 2 years)
## 9612 We are exploring ML methods (and may one day put a model into production)
## 9613 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9614 <NA>
## 9615 We use ML methods for generating insights (but do not put working models into production)
## 9616 <NA>
## 9617 No (we do not use ML methods)
## 9618 We have well established ML methods (i.e., models in production for more than 2 years)
## 9619 We use ML methods for generating insights (but do not put working models into production)
## 9620 No (we do not use ML methods)
## 9621 <NA>
## 9622 I do not know
## 9623 We are exploring ML methods (and may one day put a model into production)
## 9624 No (we do not use ML methods)
## 9625 We are exploring ML methods (and may one day put a model into production)
## 9626 We use ML methods for generating insights (but do not put working models into production)
## 9627 <NA>
## 9628 We are exploring ML methods (and may one day put a model into production)
## 9629 No (we do not use ML methods)
## 9630 We are exploring ML methods (and may one day put a model into production)
## 9631 We are exploring ML methods (and may one day put a model into production)
## 9632 We have well established ML methods (i.e., models in production for more than 2 years)
## 9633 We have well established ML methods (i.e., models in production for more than 2 years)
## 9634 No (we do not use ML methods)
## 9635 I do not know
## 9636 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9637 <NA>
## 9638 We have well established ML methods (i.e., models in production for more than 2 years)
## 9639 <NA>
## 9640 <NA>
## 9641 I do not know
## 9642 No (we do not use ML methods)
## 9643 We are exploring ML methods (and may one day put a model into production)
## 9644 We are exploring ML methods (and may one day put a model into production)
## 9645 <NA>
## 9646 We have well established ML methods (i.e., models in production for more than 2 years)
## 9647 We have well established ML methods (i.e., models in production for more than 2 years)
## 9648 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9649 <NA>
## 9650 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9651 We are exploring ML methods (and may one day put a model into production)
## 9652 We use ML methods for generating insights (but do not put working models into production)
## 9653 No (we do not use ML methods)
## 9654 We have well established ML methods (i.e., models in production for more than 2 years)
## 9655 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9656 I do not know
## 9657 <NA>
## 9658 We have well established ML methods (i.e., models in production for more than 2 years)
## 9659 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9660 We use ML methods for generating insights (but do not put working models into production)
## 9661 We use ML methods for generating insights (but do not put working models into production)
## 9662 <NA>
## 9663 <NA>
## 9664 We use ML methods for generating insights (but do not put working models into production)
## 9665 No (we do not use ML methods)
## 9666 We use ML methods for generating insights (but do not put working models into production)
## 9667 No (we do not use ML methods)
## 9668 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9669 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9670 We are exploring ML methods (and may one day put a model into production)
## 9671 We are exploring ML methods (and may one day put a model into production)
## 9672 We have well established ML methods (i.e., models in production for more than 2 years)
## 9673 We use ML methods for generating insights (but do not put working models into production)
## 9674 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9675 No (we do not use ML methods)
## 9676 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9677 We use ML methods for generating insights (but do not put working models into production)
## 9678 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9679 We use ML methods for generating insights (but do not put working models into production)
## 9680 We use ML methods for generating insights (but do not put working models into production)
## 9681 We have well established ML methods (i.e., models in production for more than 2 years)
## 9682 No (we do not use ML methods)
## 9683 <NA>
## 9684 We have well established ML methods (i.e., models in production for more than 2 years)
## 9685 No (we do not use ML methods)
## 9686 No (we do not use ML methods)
## 9687 We are exploring ML methods (and may one day put a model into production)
## 9688 <NA>
## 9689 We have well established ML methods (i.e., models in production for more than 2 years)
## 9690 No (we do not use ML methods)
## 9691 We have well established ML methods (i.e., models in production for more than 2 years)
## 9692 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9693 We have well established ML methods (i.e., models in production for more than 2 years)
## 9694 No (we do not use ML methods)
## 9695 I do not know
## 9696 We are exploring ML methods (and may one day put a model into production)
## 9697 We use ML methods for generating insights (but do not put working models into production)
## 9698 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9699 We are exploring ML methods (and may one day put a model into production)
## 9700 <NA>
## 9701 We have well established ML methods (i.e., models in production for more than 2 years)
## 9702 <NA>
## 9703 We use ML methods for generating insights (but do not put working models into production)
## 9704 We use ML methods for generating insights (but do not put working models into production)
## 9705 We are exploring ML methods (and may one day put a model into production)
## 9706 We are exploring ML methods (and may one day put a model into production)
## 9707 I do not know
## 9708 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9709 We use ML methods for generating insights (but do not put working models into production)
## 9710 <NA>
## 9711 <NA>
## 9712 We use ML methods for generating insights (but do not put working models into production)
## 9713 No (we do not use ML methods)
## 9714 <NA>
## 9715 We use ML methods for generating insights (but do not put working models into production)
## 9716 <NA>
## 9717 <NA>
## 9718 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9719 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9720 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9721 <NA>
## 9722 I do not know
## 9723 We have well established ML methods (i.e., models in production for more than 2 years)
## 9724 <NA>
## 9725 We use ML methods for generating insights (but do not put working models into production)
## 9726 We are exploring ML methods (and may one day put a model into production)
## 9727 <NA>
## 9728 I do not know
## 9729 We use ML methods for generating insights (but do not put working models into production)
## 9730 We are exploring ML methods (and may one day put a model into production)
## 9731 No (we do not use ML methods)
## 9732 No (we do not use ML methods)
## 9733 I do not know
## 9734 We are exploring ML methods (and may one day put a model into production)
## 9735 No (we do not use ML methods)
## 9736 We use ML methods for generating insights (but do not put working models into production)
## 9737 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9738 <NA>
## 9739 We are exploring ML methods (and may one day put a model into production)
## 9740 No (we do not use ML methods)
## 9741 We are exploring ML methods (and may one day put a model into production)
## 9742 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9743 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9744 <NA>
## 9745 <NA>
## 9746 We use ML methods for generating insights (but do not put working models into production)
## 9747 We have well established ML methods (i.e., models in production for more than 2 years)
## 9748 <NA>
## 9749 No (we do not use ML methods)
## 9750 We are exploring ML methods (and may one day put a model into production)
## 9751 We use ML methods for generating insights (but do not put working models into production)
## 9752 No (we do not use ML methods)
## 9753 We use ML methods for generating insights (but do not put working models into production)
## 9754 <NA>
## 9755 We are exploring ML methods (and may one day put a model into production)
## 9756 I do not know
## 9757 We are exploring ML methods (and may one day put a model into production)
## 9758 I do not know
## 9759 <NA>
## 9760 <NA>
## 9761 I do not know
## 9762 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9763 <NA>
## 9764 We use ML methods for generating insights (but do not put working models into production)
## 9765 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9766 We are exploring ML methods (and may one day put a model into production)
## 9767 We are exploring ML methods (and may one day put a model into production)
## 9768 <NA>
## 9769 We use ML methods for generating insights (but do not put working models into production)
## 9770 I do not know
## 9771 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9772 We have well established ML methods (i.e., models in production for more than 2 years)
## 9773 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9774 We have well established ML methods (i.e., models in production for more than 2 years)
## 9775 No (we do not use ML methods)
## 9776 <NA>
## 9777 I do not know
## 9778 We have well established ML methods (i.e., models in production for more than 2 years)
## 9779 No (we do not use ML methods)
## 9780 No (we do not use ML methods)
## 9781 We are exploring ML methods (and may one day put a model into production)
## 9782 <NA>
## 9783 We are exploring ML methods (and may one day put a model into production)
## 9784 We are exploring ML methods (and may one day put a model into production)
## 9785 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9786 We have well established ML methods (i.e., models in production for more than 2 years)
## 9787 No (we do not use ML methods)
## 9788 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9789 We use ML methods for generating insights (but do not put working models into production)
## 9790 No (we do not use ML methods)
## 9791 We are exploring ML methods (and may one day put a model into production)
## 9792 We are exploring ML methods (and may one day put a model into production)
## 9793 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9794 No (we do not use ML methods)
## 9795 We are exploring ML methods (and may one day put a model into production)
## 9796 We are exploring ML methods (and may one day put a model into production)
## 9797 No (we do not use ML methods)
## 9798 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9799 <NA>
## 9800 <NA>
## 9801 No (we do not use ML methods)
## 9802 We use ML methods for generating insights (but do not put working models into production)
## 9803 <NA>
## 9804 No (we do not use ML methods)
## 9805 No (we do not use ML methods)
## 9806 We have well established ML methods (i.e., models in production for more than 2 years)
## 9807 We are exploring ML methods (and may one day put a model into production)
## 9808 No (we do not use ML methods)
## 9809 We use ML methods for generating insights (but do not put working models into production)
## 9810 We are exploring ML methods (and may one day put a model into production)
## 9811 No (we do not use ML methods)
## 9812 We have well established ML methods (i.e., models in production for more than 2 years)
## 9813 I do not know
## 9814 We use ML methods for generating insights (but do not put working models into production)
## 9815 We are exploring ML methods (and may one day put a model into production)
## 9816 <NA>
## 9817 No (we do not use ML methods)
## 9818 <NA>
## 9819 We are exploring ML methods (and may one day put a model into production)
## 9820 We have well established ML methods (i.e., models in production for more than 2 years)
## 9821 <NA>
## 9822 We are exploring ML methods (and may one day put a model into production)
## 9823 <NA>
## 9824 No (we do not use ML methods)
## 9825 We are exploring ML methods (and may one day put a model into production)
## 9826 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9827 We have well established ML methods (i.e., models in production for more than 2 years)
## 9828 We are exploring ML methods (and may one day put a model into production)
## 9829 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9830 <NA>
## 9831 No (we do not use ML methods)
## 9832 <NA>
## 9833 No (we do not use ML methods)
## 9834 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9835 <NA>
## 9836 We are exploring ML methods (and may one day put a model into production)
## 9837 We are exploring ML methods (and may one day put a model into production)
## 9838 We are exploring ML methods (and may one day put a model into production)
## 9839 I do not know
## 9840 We use ML methods for generating insights (but do not put working models into production)
## 9841 We are exploring ML methods (and may one day put a model into production)
## 9842 We have well established ML methods (i.e., models in production for more than 2 years)
## 9843 We have well established ML methods (i.e., models in production for more than 2 years)
## 9844 We have well established ML methods (i.e., models in production for more than 2 years)
## 9845 <NA>
## 9846 We are exploring ML methods (and may one day put a model into production)
## 9847 <NA>
## 9848 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9849 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9850 We have well established ML methods (i.e., models in production for more than 2 years)
## 9851 We use ML methods for generating insights (but do not put working models into production)
## 9852 We have well established ML methods (i.e., models in production for more than 2 years)
## 9853 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9854 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9855 We use ML methods for generating insights (but do not put working models into production)
## 9856 No (we do not use ML methods)
## 9857 We are exploring ML methods (and may one day put a model into production)
## 9858 We have well established ML methods (i.e., models in production for more than 2 years)
## 9859 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9860 <NA>
## 9861 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9862 <NA>
## 9863 We have well established ML methods (i.e., models in production for more than 2 years)
## 9864 We use ML methods for generating insights (but do not put working models into production)
## 9865 No (we do not use ML methods)
## 9866 We use ML methods for generating insights (but do not put working models into production)
## 9867 We have well established ML methods (i.e., models in production for more than 2 years)
## 9868 No (we do not use ML methods)
## 9869 We use ML methods for generating insights (but do not put working models into production)
## 9870 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9871 No (we do not use ML methods)
## 9872 No (we do not use ML methods)
## 9873 <NA>
## 9874 <NA>
## 9875 No (we do not use ML methods)
## 9876 <NA>
## 9877 No (we do not use ML methods)
## 9878 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9879 We are exploring ML methods (and may one day put a model into production)
## 9880 We use ML methods for generating insights (but do not put working models into production)
## 9881 We are exploring ML methods (and may one day put a model into production)
## 9882 We are exploring ML methods (and may one day put a model into production)
## 9883 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9884 We use ML methods for generating insights (but do not put working models into production)
## 9885 We are exploring ML methods (and may one day put a model into production)
## 9886 We are exploring ML methods (and may one day put a model into production)
## 9887 No (we do not use ML methods)
## 9888 We are exploring ML methods (and may one day put a model into production)
## 9889 <NA>
## 9890 <NA>
## 9891 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9892 <NA>
## 9893 <NA>
## 9894 <NA>
## 9895 <NA>
## 9896 We have well established ML methods (i.e., models in production for more than 2 years)
## 9897 <NA>
## 9898 I do not know
## 9899 We are exploring ML methods (and may one day put a model into production)
## 9900 <NA>
## 9901 No (we do not use ML methods)
## 9902 We have well established ML methods (i.e., models in production for more than 2 years)
## 9903 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9904 <NA>
## 9905 No (we do not use ML methods)
## 9906 We are exploring ML methods (and may one day put a model into production)
## 9907 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9908 <NA>
## 9909 No (we do not use ML methods)
## 9910 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9911 We are exploring ML methods (and may one day put a model into production)
## 9912 We use ML methods for generating insights (but do not put working models into production)
## 9913 We are exploring ML methods (and may one day put a model into production)
## 9914 We are exploring ML methods (and may one day put a model into production)
## 9915 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9916 We are exploring ML methods (and may one day put a model into production)
## 9917 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9918 We are exploring ML methods (and may one day put a model into production)
## 9919 We are exploring ML methods (and may one day put a model into production)
## 9920 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9921 I do not know
## 9922 We use ML methods for generating insights (but do not put working models into production)
## 9923 We have well established ML methods (i.e., models in production for more than 2 years)
## 9924 We are exploring ML methods (and may one day put a model into production)
## 9925 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9926 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9927 We are exploring ML methods (and may one day put a model into production)
## 9928 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9929 <NA>
## 9930 <NA>
## 9931 We have well established ML methods (i.e., models in production for more than 2 years)
## 9932 No (we do not use ML methods)
## 9933 <NA>
## 9934 No (we do not use ML methods)
## 9935 No (we do not use ML methods)
## 9936 <NA>
## 9937 We are exploring ML methods (and may one day put a model into production)
## 9938 <NA>
## 9939 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9940 I do not know
## 9941 We use ML methods for generating insights (but do not put working models into production)
## 9942 We have well established ML methods (i.e., models in production for more than 2 years)
## 9943 <NA>
## 9944 We use ML methods for generating insights (but do not put working models into production)
## 9945 We are exploring ML methods (and may one day put a model into production)
## 9946 We have well established ML methods (i.e., models in production for more than 2 years)
## 9947 We have well established ML methods (i.e., models in production for more than 2 years)
## 9948 We have well established ML methods (i.e., models in production for more than 2 years)
## 9949 No (we do not use ML methods)
## 9950 <NA>
## 9951 No (we do not use ML methods)
## 9952 We have well established ML methods (i.e., models in production for more than 2 years)
## 9953 <NA>
## 9954 We have well established ML methods (i.e., models in production for more than 2 years)
## 9955 We have well established ML methods (i.e., models in production for more than 2 years)
## 9956 I do not know
## 9957 We are exploring ML methods (and may one day put a model into production)
## 9958 We use ML methods for generating insights (but do not put working models into production)
## 9959 <NA>
## 9960 We are exploring ML methods (and may one day put a model into production)
## 9961 We are exploring ML methods (and may one day put a model into production)
## 9962 We are exploring ML methods (and may one day put a model into production)
## 9963 <NA>
## 9964 We use ML methods for generating insights (but do not put working models into production)
## 9965 We have well established ML methods (i.e., models in production for more than 2 years)
## 9966 <NA>
## 9967 We use ML methods for generating insights (but do not put working models into production)
## 9968 No (we do not use ML methods)
## 9969 I do not know
## 9970 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9971 <NA>
## 9972 We have well established ML methods (i.e., models in production for more than 2 years)
## 9973 We have well established ML methods (i.e., models in production for more than 2 years)
## 9974 We have well established ML methods (i.e., models in production for more than 2 years)
## 9975 No (we do not use ML methods)
## 9976 No (we do not use ML methods)
## 9977 We have well established ML methods (i.e., models in production for more than 2 years)
## 9978 We have well established ML methods (i.e., models in production for more than 2 years)
## 9979 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9980 We are exploring ML methods (and may one day put a model into production)
## 9981 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9982 We are exploring ML methods (and may one day put a model into production)
## 9983 We are exploring ML methods (and may one day put a model into production)
## 9984 No (we do not use ML methods)
## 9985 We have well established ML methods (i.e., models in production for more than 2 years)
## 9986 <NA>
## 9987 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9988 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9989 <NA>
## 9990 No (we do not use ML methods)
## 9991 I do not know
## 9992 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9993 We are exploring ML methods (and may one day put a model into production)
## 9994 <NA>
## 9995 No (we do not use ML methods)
## 9996 No (we do not use ML methods)
## 9997 We have well established ML methods (i.e., models in production for more than 2 years)
## 9998 <NA>
## 9999 We have well established ML methods (i.e., models in production for more than 2 years)
## compensation_USD spend_ml_cloud_work_USD code_exp_years
## 1 30,000-39,999 0 1-2
## 2 5,000-7,499 > 100,000 None
## 3 <NA> <NA> <NA>
## 4 250,000-299,999 10,000-99,999 1-2
## 5 4,000-4,999 0 < 1
## 6 60,000-69,999 10,000-99,999 20+
## 7 10,000-14,999 100-999 3-5
## 8 80,000-89,999 0 3-5
## 9 <NA> <NA> 3-5
## 10 0-999 100-999 5-10
## 11 <NA> <NA> < 1
## 12 2,000-2,999 1000-9,999 5-10
## 13 70,000-79,999 1000-9,999 5-10
## 14 90,000-99,999 0 3-5
## 15 <NA> <NA> <NA>
## 16 125,000-149,999 > 100,000 10-20
## 17 0-999 100-999 1-2
## 18 <NA> <NA> 1-2
## 19 0-999 > 100,000 3-5
## 20 40,000-49,999 0 5-10
## 21 20,000-24,999 > 100,000 1-2
## 22 125,000-149,999 0 5-10
## 23 0-999 1-99 < 1
## 24 10,000-14,999 1000-9,999 1-2
## 25 15,000-19,999 0 5-10
## 26 20,000-24,999 1000-9,999 1-2
## 27 100,000-124,999 10,000-99,999 10-20
## 28 <NA> <NA> 1-2
## 29 0-999 1-99 3-5
## 30 0-999 0 1-2
## 31 90,000-99,999 0 1-2
## 32 7,500-9,999 100-999 5-10
## 33 0-999 0 1-2
## 34 150,000-199,999 > 100,000 5-10
## 35 10,000-14,999 > 100,000 1-2
## 36 7,500-9,999 10,000-99,999 3-5
## 37 10,000-14,999 100-999 1-2
## 38 25,000-29,999 1-99 3-5
## 39 40,000-49,999 0 < 1
## 40 90,000-99,999 > 100,000 10-20
## 41 5,000-7,499 1000-9,999 1-2
## 42 <NA> <NA> < 1
## 43 <NA> <NA> < 1
## 44 3,000-3,999 0 1-2
## 45 2,000-2,999 100-999 3-5
## 46 10,000-14,999 0 1-2
## 47 10,000-14,999 0 3-5
## 48 0-999 0 < 1
## 49 40,000-49,999 1-99 5-10
## 50 40,000-49,999 1000-9,999 1-2
## 51 150,000-199,999 1-99 5-10
## 52 3,000-3,999 0 3-5
## 53 <NA> <NA> 1-2
## 54 80,000-89,999 1000-9,999 1-2
## 55 60,000-69,999 100-999 3-5
## 56 0-999 1-99 < 1
## 57 2,000-2,999 1-99 3-5
## 58 1,000-1,999 1000-9,999 < 1
## 59 150,000-199,999 0 3-5
## 60 <NA> <NA> < 1
## 61 40,000-49,999 10,000-99,999 1-2
## 62 100,000-124,999 100-999 3-5
## 63 <NA> <NA> 5-10
## 64 40,000-49,999 100-999 1-2
## 65 40,000-49,999 0 1-2
## 66 15,000-19,999 0 3-5
## 67 200,000-249,999 > 100,000 5-10
## 68 10,000-14,999 1-99 1-2
## 69 15,000-19,999 0 1-2
## 70 <NA> <NA> 1-2
## 71 20,000-24,999 0 3-5
## 72 50,000-59,999 0 1-2
## 73 <NA> <NA> None
## 74 <NA> <NA> 1-2
## 75 0-999 0 < 1
## 76 <NA> <NA> 1-2
## 77 1,000-1,999 0 1-2
## 78 125,000-149,999 1000-9,999 10-20
## 79 <NA> <NA> < 1
## 80 <NA> <NA> <NA>
## 81 15,000-19,999 0 5-10
## 82 70,000-79,999 0 1-2
## 83 1,000-1,999 1-99 1-2
## 84 <NA> <NA> None
## 85 70,000-79,999 > 100,000 3-5
## 86 125,000-149,999 10,000-99,999 3-5
## 87 40,000-49,999 1000-9,999 1-2
## 88 125,000-149,999 100-999 < 1
## 89 60,000-69,999 100-999 5-10
## 90 40,000-49,999 1-99 5-10
## 91 0-999 1-99 1-2
## 92 40,000-49,999 0 1-2
## 93 40,000-49,999 100-999 1-2
## 94 90,000-99,999 1000-9,999 < 1
## 95 4,000-4,999 1-99 3-5
## 96 10,000-14,999 0 1-2
## 97 50,000-59,999 1-99 1-2
## 98 10,000-14,999 1-99 1-2
## 99 30,000-39,999 0 1-2
## 100 200,000-249,999 0 3-5
## 101 <NA> <NA> < 1
## 102 0-999 0 < 1
## 103 4,000-4,999 0 < 1
## 104 60,000-69,999 1000-9,999 10-20
## 105 125,000-149,999 10,000-99,999 3-5
## 106 <NA> <NA> 1-2
## 107 <NA> <NA> 1-2
## 108 100,000-124,999 10,000-99,999 10-20
## 109 <NA> <NA> < 1
## 110 70,000-79,999 1000-9,999 5-10
## 111 90,000-99,999 > 100,000 3-5
## 112 <NA> <NA> < 1
## 113 25,000-29,999 0 3-5
## 114 3,000-3,999 100-999 1-2
## 115 40,000-49,999 1000-9,999 3-5
## 116 <NA> <NA> None
## 117 <NA> <NA> < 1
## 118 40,000-49,999 1000-9,999 10-20
## 119 60,000-69,999 0 None
## 120 0-999 100-999 1-2
## 121 > 500,000 > 100,000 5-10
## 122 80,000-89,999 0 3-5
## 123 <NA> <NA> < 1
## 124 150,000-199,999 1000-9,999 5-10
## 125 20,000-24,999 10,000-99,999 1-2
## 126 25,000-29,999 100-999 3-5
## 127 <NA> <NA> < 1
## 128 <NA> <NA> 1-2
## 129 <NA> <NA> 1-2
## 130 30,000-39,999 100-999 1-2
## 131 15,000-19,999 100-999 1-2
## 132 <NA> <NA> 1-2
## 133 300,000-500,000 1-99 3-5
## 134 2,000-2,999 0 1-2
## 135 25,000-29,999 100-999 3-5
## 136 50,000-59,999 1000-9,999 20+
## 137 4,000-4,999 1-99 3-5
## 138 <NA> <NA> < 1
## 139 25,000-29,999 1000-9,999 1-2
## 140 <NA> <NA> 3-5
## 141 20,000-24,999 0 None
## 142 40,000-49,999 > 100,000 3-5
## 143 100,000-124,999 > 100,000 20+
## 144 15,000-19,999 0 5-10
## 145 1,000-1,999 10,000-99,999 5-10
## 146 150,000-199,999 0 10-20
## 147 30,000-39,999 100-999 1-2
## 148 <NA> <NA> < 1
## 149 <NA> <NA> 1-2
## 150 125,000-149,999 1000-9,999 3-5
## 151 <NA> <NA> <NA>
## 152 0-999 1-99 3-5
## 153 20,000-24,999 100-999 5-10
## 154 30,000-39,999 100-999 3-5
## 155 10,000-14,999 100-999 1-2
## 156 200,000-249,999 > 100,000 10-20
## 157 7,500-9,999 1-99 3-5
## 158 50,000-59,999 1-99 3-5
## 159 30,000-39,999 0 5-10
## 160 125,000-149,999 > 100,000 10-20
## 161 30,000-39,999 100-999 < 1
## 162 5,000-7,499 1-99 < 1
## 163 <NA> <NA> 10-20
## 164 <NA> <NA> < 1
## 165 10,000-14,999 1000-9,999 3-5
## 166 3,000-3,999 0 1-2
## 167 125,000-149,999 10,000-99,999 5-10
## 168 125,000-149,999 1000-9,999 5-10
## 169 125,000-149,999 1000-9,999 10-20
## 170 40,000-49,999 100-999 3-5
## 171 <NA> <NA> 3-5
## 172 <NA> <NA> 1-2
## 173 60,000-69,999 10,000-99,999 3-5
## 174 <NA> <NA> < 1
## 175 30,000-39,999 0 3-5
## 176 <NA> <NA> < 1
## 177 1,000-1,999 1000-9,999 1-2
## 178 5,000-7,499 100-999 1-2
## 179 <NA> <NA> < 1
## 180 40,000-49,999 100-999 3-5
## 181 0-999 0 < 1
## 182 70,000-79,999 0 3-5
## 183 0-999 0 3-5
## 184 1,000-1,999 1-99 < 1
## 185 90,000-99,999 10,000-99,999 20+
## 186 0-999 1-99 1-2
## 187 20,000-24,999 1-99 3-5
## 188 20,000-24,999 1000-9,999 1-2
## 189 70,000-79,999 1000-9,999 5-10
## 190 125,000-149,999 10,000-99,999 20+
## 191 15,000-19,999 1000-9,999 None
## 192 5,000-7,499 10,000-99,999 20+
## 193 <NA> <NA> < 1
## 194 0-999 1-99 < 1
## 195 <NA> <NA> < 1
## 196 <NA> <NA> 1-2
## 197 <NA> <NA> 1-2
## 198 125,000-149,999 1000-9,999 5-10
## 199 0-999 100-999 3-5
## 200 40,000-49,999 0 5-10
## 201 <NA> <NA> 1-2
## 202 70,000-79,999 0 3-5
## 203 60,000-69,999 1-99 < 1
## 204 <NA> <NA> 3-5
## 205 10,000-14,999 1-99 3-5
## 206 10,000-14,999 0 3-5
## 207 10,000-14,999 1000-9,999 3-5
## 208 1,000-1,999 100-999 5-10
## 209 10,000-14,999 0 3-5
## 210 60,000-69,999 0 1-2
## 211 <NA> <NA> 1-2
## 212 0-999 100-999 5-10
## 213 70,000-79,999 > 100,000 3-5
## 214 <NA> <NA> 1-2
## 215 10,000-14,999 10,000-99,999 1-2
## 216 <NA> <NA> < 1
## 217 40,000-49,999 1000-9,999 3-5
## 218 <NA> <NA> < 1
## 219 50,000-59,999 0 3-5
## 220 0-999 1000-9,999 1-2
## 221 25,000-29,999 0 10-20
## 222 20,000-24,999 0 < 1
## 223 60,000-69,999 1000-9,999 5-10
## 224 90,000-99,999 0 10-20
## 225 0-999 1-99 < 1
## 226 30,000-39,999 0 None
## 227 <NA> <NA> 20+
## 228 <NA> <NA> 3-5
## 229 <NA> <NA> 1-2
## 230 10,000-14,999 1000-9,999 1-2
## 231 150,000-199,999 0 20+
## 232 <NA> <NA> None
## 233 150,000-199,999 > 100,000 5-10
## 234 15,000-19,999 100-999 < 1
## 235 5,000-7,499 1000-9,999 1-2
## 236 70,000-79,999 1000-9,999 3-5
## 237 30,000-39,999 1-99 1-2
## 238 200,000-249,999 > 100,000 5-10
## 239 2,000-2,999 0 3-5
## 240 100,000-124,999 1000-9,999 10-20
## 241 80,000-89,999 10,000-99,999 10-20
## 242 50,000-59,999 0 3-5
## 243 <NA> <NA> < 1
## 244 <NA> <NA> < 1
## 245 15,000-19,999 0 < 1
## 246 <NA> <NA> None
## 247 3,000-3,999 0 3-5
## 248 <NA> <NA> None
## 249 50,000-59,999 1000-9,999 5-10
## 250 50,000-59,999 10,000-99,999 3-5
## 251 30,000-39,999 100-999 10-20
## 252 5,000-7,499 100-999 5-10
## 253 40,000-49,999 100-999 3-5
## 254 200,000-249,999 1000-9,999 5-10
## 255 60,000-69,999 100-999 5-10
## 256 100,000-124,999 10,000-99,999 20+
## 257 <NA> <NA> 3-5
## 258 70,000-79,999 0 1-2
## 259 200,000-249,999 1000-9,999 1-2
## 260 10,000-14,999 0 3-5
## 261 90,000-99,999 10,000-99,999 3-5
## 262 80,000-89,999 100-999 5-10
## 263 70,000-79,999 0 5-10
## 264 250,000-299,999 > 100,000 10-20
## 265 <NA> <NA> 1-2
## 266 <NA> <NA> 1-2
## 267 100,000-124,999 0 < 1
## 268 4,000-4,999 1-99 5-10
## 269 <NA> <NA> < 1
## 270 50,000-59,999 1000-9,999 5-10
## 271 150,000-199,999 10,000-99,999 10-20
## 272 90,000-99,999 10,000-99,999 20+
## 273 40,000-49,999 100-999 1-2
## 274 200,000-249,999 100-999 3-5
## 275 <NA> <NA> 3-5
## 276 <NA> <NA> 1-2
## 277 5,000-7,499 1000-9,999 < 1
## 278 0-999 0 < 1
## 279 125,000-149,999 10,000-99,999 10-20
## 280 5,000-7,499 1000-9,999 3-5
## 281 40,000-49,999 100-999 1-2
## 282 125,000-149,999 10,000-99,999 5-10
## 283 <NA> <NA> < 1
## 284 > 500,000 > 100,000 10-20
## 285 4,000-4,999 1-99 1-2
## 286 <NA> <NA> 1-2
## 287 <NA> <NA> < 1
## 288 70,000-79,999 10,000-99,999 1-2
## 289 150,000-199,999 > 100,000 1-2
## 290 <NA> <NA> 3-5
## 291 10,000-14,999 1-99 3-5
## 292 40,000-49,999 1000-9,999 3-5
## 293 15,000-19,999 0 3-5
## 294 40,000-49,999 1-99 5-10
## 295 125,000-149,999 > 100,000 10-20
## 296 100,000-124,999 10,000-99,999 10-20
## 297 100,000-124,999 0 20+
## 298 0-999 0 1-2
## 299 40,000-49,999 1-99 5-10
## 300 60,000-69,999 1000-9,999 5-10
## 301 90,000-99,999 0 5-10
## 302 90,000-99,999 0 5-10
## 303 25,000-29,999 10,000-99,999 10-20
## 304 100,000-124,999 100-999 None
## 305 3,000-3,999 100-999 < 1
## 306 30,000-39,999 1000-9,999 20+
## 307 <NA> <NA> None
## 308 0-999 1-99 < 1
## 309 <NA> <NA> 5-10
## 310 <NA> <NA> < 1
## 311 60,000-69,999 0 5-10
## 312 4,000-4,999 0 < 1
## 313 80,000-89,999 > 100,000 3-5
## 314 2,000-2,999 100-999 1-2
## 315 <NA> <NA> 1-2
## 316 10,000-14,999 1-99 < 1
## 317 <NA> <NA> < 1
## 318 20,000-24,999 0 < 1
## 319 10,000-14,999 1-99 1-2
## 320 3,000-3,999 1000-9,999 10-20
## 321 20,000-24,999 1000-9,999 1-2
## 322 0-999 1-99 1-2
## 323 4,000-4,999 1000-9,999 < 1
## 324 7,500-9,999 100-999 3-5
## 325 <NA> <NA> < 1
## 326 90,000-99,999 100-999 10-20
## 327 10,000-14,999 100-999 < 1
## 328 15,000-19,999 0 3-5
## 329 <NA> <NA> < 1
## 330 25,000-29,999 0 1-2
## 331 7,500-9,999 0 3-5
## 332 100,000-124,999 1-99 1-2
## 333 <NA> <NA> 3-5
## 334 30,000-39,999 0 < 1
## 335 25,000-29,999 > 100,000 3-5
## 336 70,000-79,999 0 5-10
## 337 80,000-89,999 0 < 1
## 338 0-999 0 < 1
## 339 100,000-124,999 > 100,000 3-5
## 340 40,000-49,999 0 < 1
## 341 100,000-124,999 > 100,000 5-10
## 342 <NA> <NA> 3-5
## 343 4,000-4,999 0 1-2
## 344 7,500-9,999 0 None
## 345 <NA> <NA> < 1
## 346 <NA> <NA> 1-2
## 347 <NA> <NA> 1-2
## 348 125,000-149,999 10,000-99,999 5-10
## 349 <NA> <NA> None
## 350 <NA> <NA> < 1
## 351 <NA> <NA> 1-2
## 352 80,000-89,999 0 5-10
## 353 <NA> <NA> 1-2
## 354 25,000-29,999 0 3-5
## 355 <NA> <NA> < 1
## 356 1,000-1,999 1-99 < 1
## 357 300,000-500,000 100-999 20+
## 358 25,000-29,999 1000-9,999 3-5
## 359 20,000-24,999 0 1-2
## 360 20,000-24,999 100-999 5-10
## 361 150,000-199,999 > 100,000 20+
## 362 15,000-19,999 1-99 1-2
## 363 10,000-14,999 1000-9,999 1-2
## 364 40,000-49,999 0 5-10
## 365 80,000-89,999 1000-9,999 5-10
## 366 0-999 1-99 1-2
## 367 <NA> <NA> < 1
## 368 5,000-7,499 100-999 < 1
## 369 90,000-99,999 1-99 3-5
## 370 10,000-14,999 0 1-2
## 371 5,000-7,499 1-99 < 1
## 372 40,000-49,999 1-99 3-5
## 373 125,000-149,999 0 3-5
## 374 <NA> <NA> 3-5
## 375 <NA> <NA> < 1
## 376 125,000-149,999 10,000-99,999 1-2
## 377 40,000-49,999 0 3-5
## 378 5,000-7,499 1-99 1-2
## 379 200,000-249,999 100-999 20+
## 380 4,000-4,999 0 3-5
## 381 30,000-39,999 100-999 1-2
## 382 20,000-24,999 1-99 3-5
## 383 10,000-14,999 1000-9,999 3-5
## 384 2,000-2,999 100-999 1-2
## 385 10,000-14,999 1000-9,999 1-2
## 386 25,000-29,999 > 100,000 < 1
## 387 5,000-7,499 1000-9,999 < 1
## 388 0-999 100-999 None
## 389 50,000-59,999 0 3-5
## 390 15,000-19,999 0 10-20
## 391 <NA> <NA> 1-2
## 392 <NA> <NA> 1-2
## 393 10,000-14,999 100-999 < 1
## 394 0-999 0 1-2
## 395 300,000-500,000 0 1-2
## 396 100,000-124,999 10,000-99,999 5-10
## 397 200,000-249,999 > 100,000 5-10
## 398 10,000-14,999 1-99 5-10
## 399 7,500-9,999 100-999 3-5
## 400 <NA> <NA> 1-2
## 401 90,000-99,999 0 < 1
## 402 <NA> <NA> 1-2
## 403 5,000-7,499 > 100,000 5-10
## 404 <NA> <NA> < 1
## 405 <NA> <NA> < 1
## 406 <NA> <NA> < 1
## 407 10,000-14,999 1-99 1-2
## 408 15,000-19,999 0 5-10
## 409 <NA> <NA> < 1
## 410 80,000-89,999 100-999 < 1
## 411 <NA> <NA> 3-5
## 412 10,000-14,999 100-999 3-5
## 413 70,000-79,999 1000-9,999 3-5
## 414 20,000-24,999 1000-9,999 < 1
## 415 50,000-59,999 1-99 5-10
## 416 <NA> <NA> < 1
## 417 100,000-124,999 100-999 1-2
## 418 10,000-14,999 0 < 1
## 419 <NA> <NA> < 1
## 420 <NA> <NA> < 1
## 421 100,000-124,999 10,000-99,999 10-20
## 422 30,000-39,999 100-999 1-2
## 423 150,000-199,999 1000-9,999 5-10
## 424 <NA> <NA> 3-5
## 425 15,000-19,999 0 1-2
## 426 125,000-149,999 10,000-99,999 5-10
## 427 <NA> <NA> 3-5
## 428 7,500-9,999 10,000-99,999 3-5
## 429 60,000-69,999 0 1-2
## 430 <NA> <NA> < 1
## 431 70,000-79,999 10,000-99,999 10-20
## 432 <NA> <NA> 3-5
## 433 <NA> <NA> < 1
## 434 <NA> <NA> 1-2
## 435 <NA> <NA> < 1
## 436 10,000-14,999 0 None
## 437 0-999 0 < 1
## 438 20,000-24,999 100-999 1-2
## 439 > 500,000 10,000-99,999 < 1
## 440 <NA> <NA> < 1
## 441 <NA> <NA> < 1
## 442 <NA> <NA> None
## 443 10,000-14,999 0 5-10
## 444 20,000-24,999 100-999 3-5
## 445 <NA> <NA> < 1
## 446 <NA> <NA> 1-2
## 447 50,000-59,999 100-999 5-10
## 448 60,000-69,999 1000-9,999 1-2
## 449 50,000-59,999 0 3-5
## 450 30,000-39,999 1000-9,999 5-10
## 451 125,000-149,999 1000-9,999 3-5
## 452 <NA> <NA> 3-5
## 453 125,000-149,999 10,000-99,999 20+
## 454 1,000-1,999 1-99 < 1
## 455 70,000-79,999 1-99 10-20
## 456 15,000-19,999 1000-9,999 < 1
## 457 125,000-149,999 0 20+
## 458 90,000-99,999 10,000-99,999 1-2
## 459 <NA> <NA> 1-2
## 460 90,000-99,999 10,000-99,999 5-10
## 461 25,000-29,999 0 < 1
## 462 1,000-1,999 100-999 3-5
## 463 200,000-249,999 > 100,000 5-10
## 464 <NA> <NA> < 1
## 465 30,000-39,999 > 100,000 None
## 466 <NA> <NA> 1-2
## 467 100,000-124,999 > 100,000 10-20
## 468 25,000-29,999 0 < 1
## 469 100,000-124,999 > 100,000 3-5
## 470 70,000-79,999 0 5-10
## 471 <NA> <NA> None
## 472 150,000-199,999 > 100,000 10-20
## 473 40,000-49,999 1000-9,999 3-5
## 474 10,000-14,999 0 < 1
## 475 <NA> <NA> <NA>
## 476 125,000-149,999 100-999 < 1
## 477 50,000-59,999 0 1-2
## 478 100,000-124,999 0 5-10
## 479 100,000-124,999 0 20+
## 480 <NA> <NA> None
## 481 25,000-29,999 1000-9,999 3-5
## 482 5,000-7,499 1000-9,999 3-5
## 483 100,000-124,999 10,000-99,999 3-5
## 484 100,000-124,999 100-999 1-2
## 485 <NA> <NA> 1-2
## 486 50,000-59,999 0 < 1
## 487 60,000-69,999 > 100,000 3-5
## 488 250,000-299,999 > 100,000 10-20
## 489 <NA> <NA> 3-5
## 490 <NA> <NA> 1-2
## 491 80,000-89,999 > 100,000 3-5
## 492 90,000-99,999 0 10-20
## 493 10,000-14,999 0 < 1
## 494 250,000-299,999 > 100,000 10-20
## 495 90,000-99,999 0 < 1
## 496 125,000-149,999 > 100,000 5-10
## 497 1,000-1,999 1-99 3-5
## 498 20,000-24,999 0 10-20
## 499 20,000-24,999 0 3-5
## 500 90,000-99,999 1000-9,999 5-10
## 501 <NA> <NA> None
## 502 5,000-7,499 100-999 < 1
## 503 300,000-500,000 > 100,000 10-20
## 504 30,000-39,999 1000-9,999 3-5
## 505 7,500-9,999 10,000-99,999 1-2
## 506 40,000-49,999 100-999 < 1
## 507 <NA> <NA> 3-5
## 508 40,000-49,999 1000-9,999 1-2
## 509 80,000-89,999 10,000-99,999 5-10
## 510 <NA> <NA> 3-5
## 511 20,000-24,999 100-999 3-5
## 512 0-999 0 1-2
## 513 20,000-24,999 100-999 1-2
## 514 0-999 1-99 < 1
## 515 125,000-149,999 > 100,000 3-5
## 516 80,000-89,999 0 20+
## 517 <NA> <NA> < 1
## 518 7,500-9,999 100-999 3-5
## 519 <NA> <NA> < 1
## 520 0-999 0 10-20
## 521 10,000-14,999 100-999 1-2
## 522 <NA> <NA> 1-2
## 523 90,000-99,999 10,000-99,999 5-10
## 524 25,000-29,999 0 None
## 525 20,000-24,999 0 1-2
## 526 200,000-249,999 10,000-99,999 20+
## 527 150,000-199,999 0 10-20
## 528 <NA> <NA> 1-2
## 529 125,000-149,999 10,000-99,999 10-20
## 530 <NA> <NA> 3-5
## 531 <NA> <NA> 1-2
## 532 150,000-199,999 10,000-99,999 20+
## 533 30,000-39,999 10,000-99,999 10-20
## 534 150,000-199,999 > 100,000 10-20
## 535 125,000-149,999 10,000-99,999 3-5
## 536 <NA> <NA> 3-5
## 537 <NA> <NA> < 1
## 538 7,500-9,999 0 None
## 539 125,000-149,999 1000-9,999 10-20
## 540 <NA> <NA> < 1
## 541 15,000-19,999 100-999 3-5
## 542 60,000-69,999 1000-9,999 3-5
## 543 <NA> <NA> 5-10
## 544 90,000-99,999 10,000-99,999 1-2
## 545 <NA> <NA> < 1
## 546 300,000-500,000 10,000-99,999 5-10
## 547 40,000-49,999 1000-9,999 1-2
## 548 <NA> <NA> 1-2
## 549 <NA> <NA> 3-5
## 550 150,000-199,999 10,000-99,999 5-10
## 551 1,000-1,999 > 100,000 3-5
## 552 60,000-69,999 0 3-5
## 553 100,000-124,999 0 1-2
## 554 150,000-199,999 0 10-20
## 555 10,000-14,999 0 1-2
## 556 4,000-4,999 0 3-5
## 557 3,000-3,999 1000-9,999 < 1
## 558 <NA> <NA> 1-2
## 559 15,000-19,999 0 < 1
## 560 <NA> <NA> 20+
## 561 100,000-124,999 1000-9,999 10-20
## 562 60,000-69,999 1000-9,999 3-5
## 563 40,000-49,999 1-99 5-10
## 564 <NA> <NA> < 1
## 565 250,000-299,999 10,000-99,999 10-20
## 566 0-999 0 < 1
## 567 125,000-149,999 0 5-10
## 568 40,000-49,999 100-999 3-5
## 569 0-999 0 < 1
## 570 25,000-29,999 0 3-5
## 571 <NA> <NA> < 1
## 572 50,000-59,999 10,000-99,999 3-5
## 573 0-999 1-99 < 1
## 574 50,000-59,999 > 100,000 20+
## 575 <NA> <NA> 1-2
## 576 125,000-149,999 1-99 < 1
## 577 50,000-59,999 0 5-10
## 578 4,000-4,999 1000-9,999 10-20
## 579 0-999 100-999 1-2
## 580 <NA> <NA> None
## 581 1,000-1,999 1-99 < 1
## 582 <NA> <NA> < 1
## 583 15,000-19,999 100-999 10-20
## 584 60,000-69,999 1-99 5-10
## 585 90,000-99,999 1000-9,999 1-2
## 586 10,000-14,999 0 3-5
## 587 150,000-199,999 1000-9,999 10-20
## 588 80,000-89,999 > 100,000 < 1
## 589 <NA> <NA> 3-5
## 590 70,000-79,999 1000-9,999 10-20
## 591 <NA> <NA> < 1
## 592 30,000-39,999 1000-9,999 10-20
## 593 <NA> <NA> 1-2
## 594 50,000-59,999 0 3-5
## 595 10,000-14,999 1000-9,999 5-10
## 596 <NA> <NA> < 1
## 597 <NA> <NA> 1-2
## 598 <NA> <NA> < 1
## 599 <NA> <NA> < 1
## 600 <NA> <NA> < 1
## 601 25,000-29,999 0 3-5
## 602 90,000-99,999 1000-9,999 < 1
## 603 <NA> <NA> 1-2
## 604 <NA> <NA> None
## 605 <NA> <NA> 3-5
## 606 40,000-49,999 0 5-10
## 607 0-999 0 1-2
## 608 25,000-29,999 10,000-99,999 3-5
## 609 <NA> <NA> 1-2
## 610 0-999 100-999 3-5
## 611 20,000-24,999 10,000-99,999 5-10
## 612 60,000-69,999 10,000-99,999 None
## 613 <NA> <NA> < 1
## 614 30,000-39,999 100-999 10-20
## 615 3,000-3,999 0 None
## 616 2,000-2,999 1000-9,999 5-10
## 617 5,000-7,499 100-999 3-5
## 618 100,000-124,999 > 100,000 5-10
## 619 50,000-59,999 > 100,000 1-2
## 620 15,000-19,999 10,000-99,999 10-20
## 621 30,000-39,999 1000-9,999 3-5
## 622 <NA> <NA> 1-2
## 623 150,000-199,999 100-999 3-5
## 624 <NA> <NA> 1-2
## 625 7,500-9,999 1-99 3-5
## 626 10,000-14,999 1-99 3-5
## 627 1,000-1,999 100-999 None
## 628 <NA> <NA> < 1
## 629 60,000-69,999 0 5-10
## 630 25,000-29,999 1-99 1-2
## 631 50,000-59,999 1000-9,999 1-2
## 632 <NA> <NA> < 1
## 633 70,000-79,999 0 3-5
## 634 200,000-249,999 > 100,000 20+
## 635 3,000-3,999 0 3-5
## 636 10,000-14,999 100-999 1-2
## 637 50,000-59,999 1000-9,999 None
## 638 <NA> <NA> 20+
## 639 <NA> <NA> 1-2
## 640 <NA> <NA> 1-2
## 641 125,000-149,999 1000-9,999 10-20
## 642 <NA> <NA> 1-2
## 643 90,000-99,999 0 3-5
## 644 125,000-149,999 10,000-99,999 5-10
## 645 60,000-69,999 1000-9,999 5-10
## 646 <NA> <NA> 1-2
## 647 <NA> <NA> < 1
## 648 0-999 1-99 3-5
## 649 25,000-29,999 100-999 5-10
## 650 80,000-89,999 100-999 3-5
## 651 <NA> <NA> < 1
## 652 <NA> <NA> < 1
## 653 100,000-124,999 > 100,000 10-20
## 654 <NA> <NA> 3-5
## 655 30,000-39,999 0 < 1
## 656 10,000-14,999 1000-9,999 1-2
## 657 15,000-19,999 0 < 1
## 658 4,000-4,999 1000-9,999 5-10
## 659 <NA> <NA> 1-2
## 660 25,000-29,999 0 1-2
## 661 7,500-9,999 0 1-2
## 662 <NA> <NA> 1-2
## 663 200,000-249,999 > 100,000 1-2
## 664 <NA> <NA> 5-10
## 665 125,000-149,999 > 100,000 3-5
## 666 10,000-14,999 100-999 < 1
## 667 <NA> <NA> None
## 668 <NA> <NA> 5-10
## 669 60,000-69,999 0 3-5
## 670 <NA> <NA> < 1
## 671 40,000-49,999 1000-9,999 10-20
## 672 <NA> <NA> < 1
## 673 150,000-199,999 1000-9,999 None
## 674 0-999 100-999 < 1
## 675 150,000-199,999 > 100,000 10-20
## 676 40,000-49,999 0 3-5
## 677 0-999 0 None
## 678 <NA> <NA> 1-2
## 679 <NA> <NA> < 1
## 680 0-999 1-99 None
## 681 30,000-39,999 0 5-10
## 682 60,000-69,999 > 100,000 10-20
## 683 50,000-59,999 0 3-5
## 684 125,000-149,999 10,000-99,999 10-20
## 685 <NA> <NA> < 1
## 686 <NA> <NA> 1-2
## 687 70,000-79,999 10,000-99,999 3-5
## 688 <NA> <NA> < 1
## 689 0-999 0 < 1
## 690 80,000-89,999 1-99 3-5
## 691 0-999 1000-9,999 < 1
## 692 3,000-3,999 10,000-99,999 < 1
## 693 0-999 1000-9,999 1-2
## 694 20,000-24,999 10,000-99,999 < 1
## 695 1,000-1,999 1-99 3-5
## 696 <NA> <NA> < 1
## 697 70,000-79,999 10,000-99,999 20+
## 698 5,000-7,499 1000-9,999 3-5
## 699 70,000-79,999 0 5-10
## 700 70,000-79,999 100-999 10-20
## 701 100,000-124,999 > 100,000 3-5
## 702 <NA> <NA> 5-10
## 703 <NA> <NA> < 1
## 704 10,000-14,999 100-999 1-2
## 705 200,000-249,999 0 5-10
## 706 15,000-19,999 0 1-2
## 707 100,000-124,999 1000-9,999 3-5
## 708 80,000-89,999 10,000-99,999 10-20
## 709 <NA> <NA> < 1
## 710 <NA> <NA> 1-2
## 711 5,000-7,499 100-999 3-5
## 712 60,000-69,999 0 3-5
## 713 0-999 1-99 3-5
## 714 0-999 0 < 1
## 715 <NA> <NA> None
## 716 60,000-69,999 > 100,000 3-5
## 717 1,000-1,999 100-999 1-2
## 718 <NA> <NA> < 1
## 719 <NA> <NA> 20+
## 720 3,000-3,999 100-999 10-20
## 721 2,000-2,999 0 < 1
## 722 <NA> <NA> < 1
## 723 <NA> <NA> 3-5
## 724 90,000-99,999 10,000-99,999 3-5
## 725 15,000-19,999 0 None
## 726 1,000-1,999 1-99 1-2
## 727 125,000-149,999 100-999 3-5
## 728 50,000-59,999 1-99 5-10
## 729 150,000-199,999 100-999 5-10
## 730 <NA> <NA> < 1
## 731 50,000-59,999 0 5-10
## 732 <NA> <NA> < 1
## 733 7,500-9,999 1-99 < 1
## 734 70,000-79,999 10,000-99,999 3-5
## 735 5,000-7,499 100-999 1-2
## 736 5,000-7,499 10,000-99,999 1-2
## 737 100,000-124,999 0 5-10
## 738 <NA> <NA> 1-2
## 739 <NA> <NA> 3-5
## 740 30,000-39,999 > 100,000 1-2
## 741 25,000-29,999 100-999 3-5
## 742 <NA> <NA> 1-2
## 743 40,000-49,999 0 1-2
## 744 15,000-19,999 100-999 1-2
## 745 2,000-2,999 0 < 1
## 746 150,000-199,999 0 5-10
## 747 <NA> <NA> < 1
## 748 <NA> <NA> 5-10
## 749 40,000-49,999 > 100,000 3-5
## 750 10,000-14,999 1000-9,999 1-2
## 751 125,000-149,999 1000-9,999 20+
## 752 <NA> <NA> < 1
## 753 1,000-1,999 1-99 < 1
## 754 60,000-69,999 100-999 < 1
## 755 100,000-124,999 0 5-10
## 756 50,000-59,999 0 10-20
## 757 0-999 0 None
## 758 7,500-9,999 0 1-2
## 759 1,000-1,999 0 3-5
## 760 25,000-29,999 0 < 1
## 761 10,000-14,999 10,000-99,999 3-5
## 762 > 500,000 > 100,000 10-20
## 763 125,000-149,999 > 100,000 1-2
## 764 > 500,000 > 100,000 10-20
## 765 70,000-79,999 0 < 1
## 766 20,000-24,999 10,000-99,999 3-5
## 767 100,000-124,999 1000-9,999 1-2
## 768 125,000-149,999 0 5-10
## 769 1,000-1,999 0 None
## 770 15,000-19,999 1000-9,999 1-2
## 771 10,000-14,999 0 1-2
## 772 125,000-149,999 10,000-99,999 3-5
## 773 0-999 0 < 1
## 774 10,000-14,999 10,000-99,999 3-5
## 775 <NA> <NA> 1-2
## 776 <NA> <NA> < 1
## 777 30,000-39,999 0 < 1
## 778 25,000-29,999 0 < 1
## 779 <NA> <NA> 3-5
## 780 40,000-49,999 1000-9,999 10-20
## 781 <NA> <NA> 1-2
## 782 125,000-149,999 100-999 5-10
## 783 25,000-29,999 0 1-2
## 784 15,000-19,999 10,000-99,999 1-2
## 785 <NA> <NA> < 1
## 786 7,500-9,999 1000-9,999 5-10
## 787 <NA> <NA> < 1
## 788 <NA> <NA> 3-5
## 789 40,000-49,999 10,000-99,999 5-10
## 790 125,000-149,999 10,000-99,999 5-10
## 791 <NA> <NA> < 1
## 792 10,000-14,999 100-999 < 1
## 793 50,000-59,999 0 5-10
## 794 <NA> <NA> 3-5
## 795 50,000-59,999 1-99 10-20
## 796 30,000-39,999 100-999 5-10
## 797 20,000-24,999 > 100,000 3-5
## 798 <NA> <NA> < 1
## 799 0-999 1000-9,999 10-20
## 800 100,000-124,999 1000-9,999 < 1
## 801 25,000-29,999 0 < 1
## 802 20,000-24,999 100-999 10-20
## 803 40,000-49,999 1-99 5-10
## 804 100,000-124,999 0 5-10
## 805 40,000-49,999 0 1-2
## 806 25,000-29,999 0 3-5
## 807 70,000-79,999 10,000-99,999 1-2
## 808 10,000-14,999 1000-9,999 1-2
## 809 7,500-9,999 1-99 < 1
## 810 60,000-69,999 1000-9,999 3-5
## 811 1,000-1,999 0 < 1
## 812 <NA> <NA> None
## 813 <NA> <NA> < 1
## 814 70,000-79,999 0 3-5
## 815 2,000-2,999 1000-9,999 1-2
## 816 <NA> <NA> < 1
## 817 70,000-79,999 1000-9,999 3-5
## 818 250,000-299,999 10,000-99,999 5-10
## 819 <NA> <NA> 5-10
## 820 80,000-89,999 0 5-10
## 821 <NA> <NA> None
## 822 2,000-2,999 100-999 None
## 823 50,000-59,999 0 10-20
## 824 50,000-59,999 0 3-5
## 825 40,000-49,999 0 5-10
## 826 150,000-199,999 > 100,000 3-5
## 827 25,000-29,999 1-99 < 1
## 828 80,000-89,999 > 100,000 3-5
## 829 100,000-124,999 100-999 3-5
## 830 > 500,000 > 100,000 10-20
## 831 5,000-7,499 100-999 < 1
## 832 150,000-199,999 0 5-10
## 833 0-999 100-999 3-5
## 834 5,000-7,499 10,000-99,999 5-10
## 835 0-999 1-99 < 1
## 836 <NA> <NA> 1-2
## 837 <NA> <NA> 1-2
## 838 0-999 0 1-2
## 839 25,000-29,999 0 < 1
## 840 200,000-249,999 > 100,000 20+
## 841 25,000-29,999 0 5-10
## 842 <NA> <NA> < 1
## 843 0-999 1000-9,999 < 1
## 844 30,000-39,999 0 < 1
## 845 25,000-29,999 1000-9,999 3-5
## 846 <NA> <NA> 5-10
## 847 1,000-1,999 100-999 < 1
## 848 100,000-124,999 > 100,000 3-5
## 849 <NA> <NA> < 1
## 850 40,000-49,999 100-999 5-10
## 851 10,000-14,999 1-99 3-5
## 852 60,000-69,999 10,000-99,999 1-2
## 853 125,000-149,999 10,000-99,999 10-20
## 854 125,000-149,999 10,000-99,999 20+
## 855 30,000-39,999 10,000-99,999 5-10
## 856 0-999 0 None
## 857 100,000-124,999 10,000-99,999 20+
## 858 <NA> <NA> 3-5
## 859 <NA> <NA> None
## 860 <NA> <NA> None
## 861 <NA> <NA> 3-5
## 862 <NA> <NA> < 1
## 863 5,000-7,499 0 1-2
## 864 125,000-149,999 0 3-5
## 865 60,000-69,999 100-999 5-10
## 866 1,000-1,999 1000-9,999 3-5
## 867 5,000-7,499 1-99 1-2
## 868 <NA> <NA> 1-2
## 869 <NA> <NA> < 1
## 870 <NA> <NA> 3-5
## 871 2,000-2,999 1000-9,999 1-2
## 872 60,000-69,999 100-999 5-10
## 873 4,000-4,999 1000-9,999 5-10
## 874 <NA> <NA> < 1
## 875 200,000-249,999 0 3-5
## 876 15,000-19,999 100-999 1-2
## 877 20,000-24,999 1000-9,999 3-5
## 878 7,500-9,999 0 < 1
## 879 5,000-7,499 100-999 < 1
## 880 5,000-7,499 > 100,000 None
## 881 <NA> <NA> < 1
## 882 3,000-3,999 0 1-2
## 883 70,000-79,999 1000-9,999 1-2
## 884 <NA> <NA> 3-5
## 885 <NA> <NA> < 1
## 886 125,000-149,999 0 10-20
## 887 50,000-59,999 0 3-5
## 888 <NA> <NA> < 1
## 889 <NA> <NA> 1-2
## 890 0-999 0 3-5
## 891 150,000-199,999 10,000-99,999 5-10
## 892 60,000-69,999 10,000-99,999 5-10
## 893 25,000-29,999 1000-9,999 10-20
## 894 30,000-39,999 0 < 1
## 895 60,000-69,999 1000-9,999 10-20
## 896 <NA> <NA> < 1
## 897 <NA> <NA> 3-5
## 898 0-999 0 None
## 899 5,000-7,499 100-999 1-2
## 900 3,000-3,999 0 None
## 901 <NA> <NA> 5-10
## 902 <NA> <NA> 1-2
## 903 100,000-124,999 10,000-99,999 3-5
## 904 4,000-4,999 0 < 1
## 905 10,000-14,999 100-999 3-5
## 906 125,000-149,999 10,000-99,999 10-20
## 907 7,500-9,999 > 100,000 1-2
## 908 20,000-24,999 0 1-2
## 909 <NA> <NA> < 1
## 910 125,000-149,999 1000-9,999 3-5
## 911 100,000-124,999 0 < 1
## 912 30,000-39,999 > 100,000 1-2
## 913 <NA> <NA> 1-2
## 914 15,000-19,999 1-99 1-2
## 915 20,000-24,999 100-999 1-2
## 916 100,000-124,999 > 100,000 3-5
## 917 80,000-89,999 100-999 1-2
## 918 30,000-39,999 10,000-99,999 None
## 919 80,000-89,999 0 1-2
## 920 <NA> <NA> < 1
## 921 <NA> <NA> 3-5
## 922 <NA> <NA> < 1
## 923 2,000-2,999 1-99 < 1
## 924 <NA> <NA> 3-5
## 925 5,000-7,499 100-999 < 1
## 926 <NA> <NA> None
## 927 <NA> <NA> 1-2
## 928 0-999 100-999 3-5
## 929 125,000-149,999 10,000-99,999 10-20
## 930 0-999 1-99 3-5
## 931 <NA> <NA> < 1
## 932 <NA> <NA> < 1
## 933 <NA> <NA> < 1
## 934 0-999 100-999 5-10
## 935 40,000-49,999 1000-9,999 1-2
## 936 <NA> <NA> 3-5
## 937 30,000-39,999 100-999 5-10
## 938 1,000-1,999 0 20+
## 939 <NA> <NA> 1-2
## 940 100,000-124,999 > 100,000 5-10
## 941 30,000-39,999 0 < 1
## 942 1,000-1,999 1-99 5-10
## 943 300,000-500,000 > 100,000 10-20
## 944 150,000-199,999 10,000-99,999 10-20
## 945 70,000-79,999 0 3-5
## 946 20,000-24,999 100-999 3-5
## 947 <NA> <NA> < 1
## 948 70,000-79,999 0 10-20
## 949 0-999 100-999 < 1
## 950 0-999 100-999 1-2
## 951 30,000-39,999 10,000-99,999 1-2
## 952 <NA> <NA> < 1
## 953 2,000-2,999 0 5-10
## 954 100,000-124,999 10,000-99,999 3-5
## 955 20,000-24,999 100-999 5-10
## 956 70,000-79,999 1000-9,999 5-10
## 957 3,000-3,999 1-99 3-5
## 958 <NA> <NA> 10-20
## 959 <NA> <NA> 3-5
## 960 5,000-7,499 1-99 1-2
## 961 0-999 1000-9,999 < 1
## 962 0-999 100-999 3-5
## 963 10,000-14,999 100-999 < 1
## 964 <NA> <NA> < 1
## 965 25,000-29,999 10,000-99,999 5-10
## 966 150,000-199,999 > 100,000 5-10
## 967 30,000-39,999 1-99 3-5
## 968 <NA> <NA> 1-2
## 969 0-999 0 1-2
## 970 30,000-39,999 0 1-2
## 971 0-999 1000-9,999 < 1
## 972 250,000-299,999 0 20+
## 973 300,000-500,000 10,000-99,999 20+
## 974 <NA> <NA> 1-2
## 975 100,000-124,999 10,000-99,999 10-20
## 976 4,000-4,999 1-99 1-2
## 977 125,000-149,999 > 100,000 10-20
## 978 1,000-1,999 0 None
## 979 <NA> <NA> < 1
## 980 <NA> <NA> 1-2
## 981 <NA> <NA> None
## 982 150,000-199,999 0 1-2
## 983 <NA> <NA> 1-2
## 984 100,000-124,999 0 3-5
## 985 250,000-299,999 > 100,000 1-2
## 986 <NA> <NA> < 1
## 987 70,000-79,999 0 1-2
## 988 25,000-29,999 1000-9,999 5-10
## 989 5,000-7,499 0 1-2
## 990 10,000-14,999 1000-9,999 1-2
## 991 100,000-124,999 0 20+
## 992 125,000-149,999 10,000-99,999 20+
## 993 25,000-29,999 1-99 1-2
## 994 80,000-89,999 1000-9,999 3-5
## 995 0-999 100-999 3-5
## 996 15,000-19,999 100-999 < 1
## 997 0-999 100-999 5-10
## 998 <NA> <NA> < 1
## 999 30,000-39,999 10,000-99,999 3-5
## 1000 <NA> <NA> None
## 1001 40,000-49,999 1000-9,999 5-10
## 1002 80,000-89,999 0 3-5
## 1003 <NA> <NA> < 1
## 1004 1,000-1,999 100-999 1-2
## 1005 0-999 1-99 1-2
## 1006 30,000-39,999 100-999 3-5
## 1007 7,500-9,999 1000-9,999 3-5
## 1008 20,000-24,999 0 1-2
## 1009 60,000-69,999 0 1-2
## 1010 <NA> <NA> None
## 1011 10,000-14,999 0 1-2
## 1012 150,000-199,999 > 100,000 3-5
## 1013 <NA> <NA> 5-10
## 1014 90,000-99,999 10,000-99,999 5-10
## 1015 125,000-149,999 10,000-99,999 5-10
## 1016 80,000-89,999 > 100,000 < 1
## 1017 30,000-39,999 1-99 1-2
## 1018 1,000-1,999 0 1-2
## 1019 150,000-199,999 > 100,000 10-20
## 1020 0-999 0 5-10
## 1021 50,000-59,999 10,000-99,999 10-20
## 1022 150,000-199,999 > 100,000 10-20
## 1023 15,000-19,999 1000-9,999 3-5
## 1024 20,000-24,999 10,000-99,999 3-5
## 1025 3,000-3,999 100-999 3-5
## 1026 <NA> <NA> 1-2
## 1027 50,000-59,999 100-999 3-5
## 1028 250,000-299,999 1000-9,999 10-20
## 1029 100,000-124,999 100-999 < 1
## 1030 0-999 0 3-5
## 1031 25,000-29,999 1-99 5-10
## 1032 <NA> <NA> 1-2
## 1033 0-999 100-999 1-2
## 1034 60,000-69,999 0 3-5
## 1035 150,000-199,999 > 100,000 None
## 1036 70,000-79,999 0 3-5
## 1037 0-999 0 < 1
## 1038 15,000-19,999 0 None
## 1039 15,000-19,999 0 10-20
## 1040 70,000-79,999 1000-9,999 1-2
## 1041 90,000-99,999 1000-9,999 20+
## 1042 40,000-49,999 10,000-99,999 10-20
## 1043 4,000-4,999 100-999 3-5
## 1044 200,000-249,999 0 10-20
## 1045 125,000-149,999 10,000-99,999 < 1
## 1046 <NA> <NA> None
## 1047 25,000-29,999 100-999 1-2
## 1048 30,000-39,999 0 < 1
## 1049 5,000-7,499 0 None
## 1050 5,000-7,499 0 None
## 1051 125,000-149,999 1000-9,999 5-10
## 1052 <NA> <NA> 3-5
## 1053 0-999 1-99 < 1
## 1054 100,000-124,999 0 3-5
## 1055 15,000-19,999 10,000-99,999 < 1
## 1056 0-999 100-999 < 1
## 1057 25,000-29,999 0 5-10
## 1058 125,000-149,999 1000-9,999 3-5
## 1059 <NA> <NA> 3-5
## 1060 5,000-7,499 0 1-2
## 1061 40,000-49,999 100-999 5-10
## 1062 50,000-59,999 100-999 5-10
## 1063 <NA> <NA> < 1
## 1064 5,000-7,499 0 < 1
## 1065 0-999 100-999 1-2
## 1066 20,000-24,999 10,000-99,999 1-2
## 1067 <NA> <NA> 5-10
## 1068 40,000-49,999 0 3-5
## 1069 90,000-99,999 1000-9,999 3-5
## 1070 125,000-149,999 > 100,000 1-2
## 1071 50,000-59,999 0 1-2
## 1072 70,000-79,999 > 100,000 1-2
## 1073 <NA> <NA> 3-5
## 1074 25,000-29,999 0 < 1
## 1075 2,000-2,999 1000-9,999 < 1
## 1076 <NA> <NA> < 1
## 1077 150,000-199,999 > 100,000 5-10
## 1078 <NA> <NA> < 1
## 1079 15,000-19,999 1-99 < 1
## 1080 30,000-39,999 0 5-10
## 1081 150,000-199,999 1-99 5-10
## 1082 <NA> <NA> 3-5
## 1083 80,000-89,999 1000-9,999 5-10
## 1084 20,000-24,999 100-999 1-2
## 1085 30,000-39,999 100-999 3-5
## 1086 40,000-49,999 100-999 < 1
## 1087 15,000-19,999 0 < 1
## 1088 <NA> <NA> 3-5
## 1089 0-999 1-99 < 1
## 1090 0-999 100-999 < 1
## 1091 10,000-14,999 1-99 3-5
## 1092 <NA> <NA> < 1
## 1093 90,000-99,999 100-999 3-5
## 1094 <NA> <NA> 3-5
## 1095 20,000-24,999 100-999 1-2
## 1096 15,000-19,999 1000-9,999 3-5
## 1097 10,000-14,999 0 1-2
## 1098 100,000-124,999 10,000-99,999 5-10
## 1099 <NA> <NA> < 1
## 1100 10,000-14,999 1-99 3-5
## 1101 125,000-149,999 1000-9,999 3-5
## 1102 50,000-59,999 0 1-2
## 1103 150,000-199,999 10,000-99,999 10-20
## 1104 70,000-79,999 0 5-10
## 1105 10,000-14,999 1000-9,999 < 1
## 1106 <NA> <NA> < 1
## 1107 50,000-59,999 0 5-10
## 1108 1,000-1,999 1000-9,999 3-5
## 1109 30,000-39,999 1000-9,999 5-10
## 1110 <NA> <NA> 1-2
## 1111 80,000-89,999 1000-9,999 3-5
## 1112 20,000-24,999 100-999 3-5
## 1113 1,000-1,999 100-999 None
## 1114 <NA> <NA> 1-2
## 1115 <NA> <NA> < 1
## 1116 0-999 1-99 < 1
## 1117 60,000-69,999 10,000-99,999 5-10
## 1118 100,000-124,999 10,000-99,999 None
## 1119 50,000-59,999 100-999 3-5
## 1120 125,000-149,999 1000-9,999 1-2
## 1121 100,000-124,999 0 5-10
## 1122 <NA> <NA> 1-2
## 1123 7,500-9,999 1000-9,999 1-2
## 1124 30,000-39,999 0 20+
## 1125 60,000-69,999 0 3-5
## 1126 20,000-24,999 100-999 3-5
## 1127 80,000-89,999 1000-9,999 5-10
## 1128 70,000-79,999 1-99 1-2
## 1129 20,000-24,999 0 10-20
## 1130 125,000-149,999 0 3-5
## 1131 150,000-199,999 0 10-20
## 1132 0-999 0 3-5
## 1133 125,000-149,999 0 1-2
## 1134 <NA> <NA> 1-2
## 1135 125,000-149,999 > 100,000 3-5
## 1136 0-999 1-99 < 1
## 1137 <NA> <NA> 1-2
## 1138 10,000-14,999 0 1-2
## 1139 70,000-79,999 > 100,000 1-2
## 1140 125,000-149,999 1000-9,999 3-5
## 1141 7,500-9,999 100-999 3-5
## 1142 30,000-39,999 1000-9,999 5-10
## 1143 <NA> <NA> None
## 1144 25,000-29,999 1000-9,999 20+
## 1145 2,000-2,999 1000-9,999 1-2
## 1146 20,000-24,999 > 100,000 3-5
## 1147 <NA> <NA> < 1
## 1148 <NA> <NA> 1-2
## 1149 70,000-79,999 1-99 3-5
## 1150 0-999 0 10-20
## 1151 <NA> <NA> 5-10
## 1152 80,000-89,999 10,000-99,999 3-5
## 1153 200,000-249,999 1000-9,999 1-2
## 1154 90,000-99,999 10,000-99,999 3-5
## 1155 15,000-19,999 0 10-20
## 1156 10,000-14,999 1-99 < 1
## 1157 125,000-149,999 100-999 5-10
## 1158 5,000-7,499 1-99 1-2
## 1159 7,500-9,999 100-999 3-5
## 1160 70,000-79,999 0 3-5
## 1161 30,000-39,999 0 1-2
## 1162 <NA> <NA> 5-10
## 1163 20,000-24,999 1000-9,999 3-5
## 1164 125,000-149,999 1-99 10-20
## 1165 <NA> <NA> < 1
## 1166 <NA> <NA> 1-2
## 1167 <NA> <NA> 1-2
## 1168 <NA> <NA> 1-2
## 1169 <NA> <NA> 20+
## 1170 <NA> <NA> 5-10
## 1171 150,000-199,999 > 100,000 20+
## 1172 40,000-49,999 100-999 3-5
## 1173 10,000-14,999 0 1-2
## 1174 <NA> <NA> 1-2
## 1175 125,000-149,999 1000-9,999 20+
## 1176 <NA> <NA> 1-2
## 1177 2,000-2,999 1-99 < 1
## 1178 7,500-9,999 1000-9,999 1-2
## 1179 0-999 100-999 5-10
## 1180 <NA> <NA> <NA>
## 1181 20,000-24,999 100-999 20+
## 1182 <NA> <NA> 3-5
## 1183 10,000-14,999 0 < 1
## 1184 <NA> <NA> < 1
## 1185 15,000-19,999 1000-9,999 None
## 1186 <NA> <NA> 3-5
## 1187 <NA> <NA> 1-2
## 1188 <NA> <NA> < 1
## 1189 <NA> <NA> 3-5
## 1190 200,000-249,999 0 20+
## 1191 0-999 0 1-2
## 1192 20,000-24,999 100-999 3-5
## 1193 <NA> <NA> 1-2
## 1194 20,000-24,999 100-999 3-5
## 1195 125,000-149,999 10,000-99,999 5-10
## 1196 <NA> <NA> 3-5
## 1197 25,000-29,999 0 < 1
## 1198 10,000-14,999 1-99 1-2
## 1199 125,000-149,999 10,000-99,999 20+
## 1200 5,000-7,499 1000-9,999 < 1
## 1201 3,000-3,999 0 < 1
## 1202 90,000-99,999 1000-9,999 10-20
## 1203 20,000-24,999 1000-9,999 1-2
## 1204 30,000-39,999 100-999 3-5
## 1205 100,000-124,999 100-999 10-20
## 1206 90,000-99,999 0 1-2
## 1207 <NA> <NA> < 1
## 1208 30,000-39,999 1-99 3-5
## 1209 <NA> <NA> 1-2
## 1210 <NA> <NA> < 1
## 1211 <NA> <NA> None
## 1212 <NA> <NA> < 1
## 1213 40,000-49,999 0 1-2
## 1214 <NA> <NA> None
## 1215 70,000-79,999 10,000-99,999 3-5
## 1216 30,000-39,999 0 < 1
## 1217 125,000-149,999 > 100,000 20+
## 1218 <NA> <NA> 3-5
## 1219 50,000-59,999 10,000-99,999 3-5
## 1220 100,000-124,999 10,000-99,999 5-10
## 1221 70,000-79,999 100-999 3-5
## 1222 30,000-39,999 0 < 1
## 1223 <NA> <NA> < 1
## 1224 <NA> <NA> 3-5
## 1225 250,000-299,999 > 100,000 10-20
## 1226 <NA> <NA> 1-2
## 1227 125,000-149,999 100-999 20+
## 1228 <NA> <NA> < 1
## 1229 2,000-2,999 0 1-2
## 1230 0-999 1-99 < 1
## 1231 50,000-59,999 1000-9,999 5-10
## 1232 3,000-3,999 0 < 1
## 1233 90,000-99,999 1000-9,999 1-2
## 1234 250,000-299,999 10,000-99,999 10-20
## 1235 60,000-69,999 0 5-10
## 1236 100,000-124,999 > 100,000 3-5
## 1237 30,000-39,999 100-999 3-5
## 1238 100,000-124,999 0 10-20
## 1239 <NA> <NA> 1-2
## 1240 100,000-124,999 1000-9,999 10-20
## 1241 20,000-24,999 0 3-5
## 1242 <NA> <NA> None
## 1243 <NA> <NA> None
## 1244 70,000-79,999 0 1-2
## 1245 150,000-199,999 0 3-5
## 1246 25,000-29,999 0 5-10
## 1247 15,000-19,999 100-999 3-5
## 1248 40,000-49,999 0 3-5
## 1249 80,000-89,999 1000-9,999 3-5
## 1250 20,000-24,999 > 100,000 3-5
## 1251 <NA> <NA> < 1
## 1252 <NA> <NA> 1-2
## 1253 20,000-24,999 1000-9,999 5-10
## 1254 30,000-39,999 1-99 1-2
## 1255 4,000-4,999 100-999 3-5
## 1256 150,000-199,999 10,000-99,999 5-10
## 1257 0-999 1-99 3-5
## 1258 15,000-19,999 0 < 1
## 1259 100,000-124,999 0 5-10
## 1260 70,000-79,999 0 1-2
## 1261 125,000-149,999 10,000-99,999 1-2
## 1262 20,000-24,999 0 < 1
## 1263 7,500-9,999 1000-9,999 3-5
## 1264 250,000-299,999 > 100,000 3-5
## 1265 80,000-89,999 1000-9,999 3-5
## 1266 60,000-69,999 1-99 1-2
## 1267 200,000-249,999 > 100,000 1-2
## 1268 100,000-124,999 1000-9,999 10-20
## 1269 <NA> <NA> < 1
## 1270 <NA> <NA> None
## 1271 70,000-79,999 10,000-99,999 3-5
## 1272 1,000-1,999 1000-9,999 3-5
## 1273 <NA> <NA> < 1
## 1274 2,000-2,999 0 5-10
## 1275 70,000-79,999 0 5-10
## 1276 20,000-24,999 100-999 < 1
## 1277 200,000-249,999 > 100,000 10-20
## 1278 0-999 1-99 1-2
## 1279 0-999 10,000-99,999 1-2
## 1280 0-999 0 5-10
## 1281 80,000-89,999 1-99 10-20
## 1282 15,000-19,999 0 1-2
## 1283 4,000-4,999 0 1-2
## 1284 90,000-99,999 10,000-99,999 10-20
## 1285 7,500-9,999 1-99 1-2
## 1286 50,000-59,999 1-99 3-5
## 1287 <NA> <NA> 1-2
## 1288 <NA> <NA> < 1
## 1289 80,000-89,999 1000-9,999 3-5
## 1290 5,000-7,499 10,000-99,999 5-10
## 1291 30,000-39,999 0 5-10
## 1292 <NA> <NA> 20+
## 1293 40,000-49,999 1000-9,999 3-5
## 1294 40,000-49,999 100-999 5-10
## 1295 125,000-149,999 > 100,000 5-10
## 1296 90,000-99,999 10,000-99,999 None
## 1297 80,000-89,999 0 10-20
## 1298 40,000-49,999 0 3-5
## 1299 150,000-199,999 > 100,000 10-20
## 1300 60,000-69,999 0 5-10
## 1301 10,000-14,999 1-99 1-2
## 1302 0-999 1-99 < 1
## 1303 80,000-89,999 0 5-10
## 1304 150,000-199,999 10,000-99,999 20+
## 1305 100,000-124,999 0 10-20
## 1306 0-999 0 1-2
## 1307 25,000-29,999 0 1-2
## 1308 0-999 1-99 < 1
## 1309 100,000-124,999 0 3-5
## 1310 <NA> <NA> 1-2
## 1311 100,000-124,999 0 3-5
## 1312 <NA> <NA> 20+
## 1313 20,000-24,999 0 1-2
## 1314 100,000-124,999 10,000-99,999 3-5
## 1315 <NA> <NA> 5-10
## 1316 150,000-199,999 1000-9,999 5-10
## 1317 <NA> <NA> < 1
## 1318 200,000-249,999 10,000-99,999 20+
## 1319 15,000-19,999 0 3-5
## 1320 70,000-79,999 0 10-20
## 1321 0-999 1-99 1-2
## 1322 30,000-39,999 1000-9,999 < 1
## 1323 100,000-124,999 10,000-99,999 20+
## 1324 125,000-149,999 1-99 10-20
## 1325 0-999 1-99 1-2
## 1326 7,500-9,999 1000-9,999 10-20
## 1327 0-999 0 None
## 1328 20,000-24,999 10,000-99,999 3-5
## 1329 100,000-124,999 1-99 3-5
## 1330 100,000-124,999 0 10-20
## 1331 <NA> <NA> < 1
## 1332 50,000-59,999 > 100,000 3-5
## 1333 90,000-99,999 10,000-99,999 5-10
## 1334 300,000-500,000 10,000-99,999 10-20
## 1335 0-999 0 3-5
## 1336 90,000-99,999 > 100,000 10-20
## 1337 <NA> <NA> 3-5
## 1338 150,000-199,999 0 20+
## 1339 150,000-199,999 10,000-99,999 3-5
## 1340 40,000-49,999 100-999 1-2
## 1341 125,000-149,999 1000-9,999 10-20
## 1342 125,000-149,999 0 3-5
## 1343 40,000-49,999 0 3-5
## 1344 1,000-1,999 0 < 1
## 1345 100,000-124,999 0 10-20
## 1346 10,000-14,999 0 20+
## 1347 200,000-249,999 > 100,000 20+
## 1348 100,000-124,999 0 5-10
## 1349 3,000-3,999 10,000-99,999 5-10
## 1350 <NA> <NA> 1-2
## 1351 <NA> <NA> 3-5
## 1352 70,000-79,999 0 1-2
## 1353 100,000-124,999 10,000-99,999 10-20
## 1354 90,000-99,999 100-999 3-5
## 1355 90,000-99,999 10,000-99,999 3-5
## 1356 100,000-124,999 0 5-10
## 1357 10,000-14,999 1-99 3-5
## 1358 5,000-7,499 1-99 1-2
## 1359 100,000-124,999 0 3-5
## 1360 70,000-79,999 0 1-2
## 1361 40,000-49,999 1000-9,999 10-20
## 1362 10,000-14,999 0 < 1
## 1363 100,000-124,999 > 100,000 5-10
## 1364 <NA> <NA> < 1
## 1365 60,000-69,999 1000-9,999 5-10
## 1366 100,000-124,999 100-999 1-2
## 1367 50,000-59,999 1-99 10-20
## 1368 10,000-14,999 0 3-5
## 1369 0-999 0 < 1
## 1370 <NA> <NA> None
## 1371 80,000-89,999 0 3-5
## 1372 > 500,000 1000-9,999 5-10
## 1373 40,000-49,999 1000-9,999 3-5
## 1374 40,000-49,999 0 < 1
## 1375 5,000-7,499 100-999 None
## 1376 30,000-39,999 1-99 1-2
## 1377 30,000-39,999 0 < 1
## 1378 60,000-69,999 10,000-99,999 5-10
## 1379 5,000-7,499 0 < 1
## 1380 50,000-59,999 1000-9,999 < 1
## 1381 <NA> <NA> < 1
## 1382 150,000-199,999 0 10-20
## 1383 <NA> <NA> 3-5
## 1384 150,000-199,999 > 100,000 20+
## 1385 300,000-500,000 > 100,000 20+
## 1386 7,500-9,999 0 3-5
## 1387 10,000-14,999 1000-9,999 None
## 1388 70,000-79,999 1000-9,999 10-20
## 1389 5,000-7,499 > 100,000 3-5
## 1390 4,000-4,999 1-99 < 1
## 1391 <NA> <NA> < 1
## 1392 <NA> <NA> < 1
## 1393 <NA> <NA> 1-2
## 1394 0-999 0 < 1
## 1395 20,000-24,999 100-999 3-5
## 1396 <NA> <NA> < 1
## 1397 0-999 0 1-2
## 1398 1,000-1,999 100-999 < 1
## 1399 <NA> <NA> < 1
## 1400 <NA> <NA> 1-2
## 1401 100,000-124,999 > 100,000 5-10
## 1402 <NA> <NA> 1-2
## 1403 90,000-99,999 1000-9,999 3-5
## 1404 15,000-19,999 1000-9,999 3-5
## 1405 <NA> <NA> < 1
## 1406 20,000-24,999 1000-9,999 < 1
## 1407 15,000-19,999 0 < 1
## 1408 <NA> <NA> 1-2
## 1409 60,000-69,999 100-999 10-20
## 1410 150,000-199,999 0 5-10
## 1411 25,000-29,999 > 100,000 < 1
## 1412 <NA> <NA> < 1
## 1413 0-999 0 < 1
## 1414 30,000-39,999 > 100,000 3-5
## 1415 10,000-14,999 0 None
## 1416 10,000-14,999 0 5-10
## 1417 10,000-14,999 1000-9,999 3-5
## 1418 60,000-69,999 0 10-20
## 1419 70,000-79,999 0 5-10
## 1420 25,000-29,999 1000-9,999 5-10
## 1421 50,000-59,999 > 100,000 5-10
## 1422 0-999 > 100,000 10-20
## 1423 90,000-99,999 0 < 1
## 1424 70,000-79,999 0 10-20
## 1425 50,000-59,999 100-999 3-5
## 1426 <NA> <NA> < 1
## 1427 10,000-14,999 10,000-99,999 1-2
## 1428 20,000-24,999 100-999 1-2
## 1429 <NA> <NA> < 1
## 1430 150,000-199,999 100-999 10-20
## 1431 100,000-124,999 100-999 20+
## 1432 150,000-199,999 0 3-5
## 1433 100,000-124,999 10,000-99,999 5-10
## 1434 50,000-59,999 100-999 10-20
## 1435 <NA> <NA> None
## 1436 100,000-124,999 > 100,000 20+
## 1437 3,000-3,999 1000-9,999 < 1
## 1438 <NA> <NA> 1-2
## 1439 <NA> <NA> 1-2
## 1440 25,000-29,999 0 5-10
## 1441 <NA> <NA> 1-2
## 1442 100,000-124,999 0 3-5
## 1443 70,000-79,999 10,000-99,999 3-5
## 1444 10,000-14,999 0 1-2
## 1445 <NA> <NA> 1-2
## 1446 <NA> <NA> < 1
## 1447 15,000-19,999 0 1-2
## 1448 0-999 1-99 3-5
## 1449 30,000-39,999 100-999 3-5
## 1450 3,000-3,999 100-999 1-2
## 1451 <NA> <NA> 1-2
## 1452 90,000-99,999 0 5-10
## 1453 150,000-199,999 > 100,000 5-10
## 1454 100,000-124,999 > 100,000 10-20
## 1455 4,000-4,999 0 < 1
## 1456 <NA> <NA> < 1
## 1457 <NA> <NA> 1-2
## 1458 300,000-500,000 10,000-99,999 5-10
## 1459 90,000-99,999 1000-9,999 < 1
## 1460 5,000-7,499 0 None
## 1461 60,000-69,999 1000-9,999 < 1
## 1462 150,000-199,999 > 100,000 5-10
## 1463 <NA> <NA> < 1
## 1464 50,000-59,999 0 5-10
## 1465 150,000-199,999 10,000-99,999 10-20
## 1466 3,000-3,999 0 1-2
## 1467 <NA> <NA> 1-2
## 1468 125,000-149,999 0 None
## 1469 30,000-39,999 1000-9,999 1-2
## 1470 80,000-89,999 10,000-99,999 5-10
## 1471 150,000-199,999 > 100,000 20+
## 1472 70,000-79,999 1000-9,999 10-20
## 1473 0-999 1-99 5-10
## 1474 40,000-49,999 10,000-99,999 3-5
## 1475 10,000-14,999 1000-9,999 3-5
## 1476 90,000-99,999 0 5-10
## 1477 <NA> <NA> < 1
## 1478 20,000-24,999 1000-9,999 1-2
## 1479 100,000-124,999 0 3-5
## 1480 150,000-199,999 0 20+
## 1481 40,000-49,999 0 None
## 1482 80,000-89,999 > 100,000 20+
## 1483 90,000-99,999 10,000-99,999 5-10
## 1484 <NA> <NA> 1-2
## 1485 200,000-249,999 > 100,000 10-20
## 1486 0-999 100-999 1-2
## 1487 10,000-14,999 1-99 1-2
## 1488 <NA> <NA> < 1
## 1489 3,000-3,999 0 None
## 1490 30,000-39,999 1000-9,999 5-10
## 1491 <NA> <NA> < 1
## 1492 100,000-124,999 100-999 5-10
## 1493 50,000-59,999 > 100,000 3-5
## 1494 10,000-14,999 0 1-2
## 1495 300,000-500,000 > 100,000 20+
## 1496 <NA> <NA> 3-5
## 1497 <NA> <NA> < 1
## 1498 <NA> <NA> 1-2
## 1499 30,000-39,999 1000-9,999 3-5
## 1500 <NA> <NA> 1-2
## 1501 <NA> <NA> 1-2
## 1502 250,000-299,999 100-999 20+
## 1503 60,000-69,999 0 3-5
## 1504 4,000-4,999 0 < 1
## 1505 <NA> <NA> < 1
## 1506 50,000-59,999 100-999 1-2
## 1507 60,000-69,999 1000-9,999 3-5
## 1508 90,000-99,999 10,000-99,999 10-20
## 1509 60,000-69,999 1000-9,999 5-10
## 1510 40,000-49,999 100-999 3-5
## 1511 4,000-4,999 0 3-5
## 1512 <NA> <NA> 3-5
## 1513 0-999 1000-9,999 5-10
## 1514 100,000-124,999 0 1-2
## 1515 0-999 > 100,000 3-5
## 1516 0-999 0 3-5
## 1517 40,000-49,999 1-99 1-2
## 1518 15,000-19,999 100-999 3-5
## 1519 90,000-99,999 100-999 3-5
## 1520 80,000-89,999 0 < 1
## 1521 0-999 1000-9,999 None
## 1522 150,000-199,999 10,000-99,999 20+
## 1523 90,000-99,999 0 10-20
## 1524 3,000-3,999 0 1-2
## 1525 80,000-89,999 0 5-10
## 1526 50,000-59,999 0 3-5
## 1527 125,000-149,999 1000-9,999 3-5
## 1528 70,000-79,999 > 100,000 3-5
## 1529 <NA> <NA> < 1
## 1530 2,000-2,999 1000-9,999 < 1
## 1531 1,000-1,999 100-999 5-10
## 1532 60,000-69,999 100-999 < 1
## 1533 15,000-19,999 1000-9,999 20+
## 1534 30,000-39,999 10,000-99,999 1-2
## 1535 100,000-124,999 10,000-99,999 10-20
## 1536 70,000-79,999 1000-9,999 3-5
## 1537 10,000-14,999 0 3-5
## 1538 <NA> <NA> 5-10
## 1539 1,000-1,999 100-999 < 1
## 1540 10,000-14,999 100-999 3-5
## 1541 20,000-24,999 1000-9,999 10-20
## 1542 150,000-199,999 > 100,000 < 1
## 1543 20,000-24,999 1000-9,999 3-5
## 1544 50,000-59,999 1000-9,999 1-2
## 1545 70,000-79,999 1000-9,999 5-10
## 1546 <NA> <NA> None
## 1547 15,000-19,999 1000-9,999 20+
## 1548 200,000-249,999 > 100,000 5-10
## 1549 <NA> <NA> 1-2
## 1550 2,000-2,999 0 < 1
## 1551 125,000-149,999 10,000-99,999 5-10
## 1552 <NA> <NA> < 1
## 1553 <NA> <NA> 1-2
## 1554 <NA> <NA> < 1
## 1555 40,000-49,999 1000-9,999 20+
## 1556 200,000-249,999 > 100,000 5-10
## 1557 90,000-99,999 0 None
## 1558 60,000-69,999 1000-9,999 5-10
## 1559 > 500,000 0 10-20
## 1560 150,000-199,999 0 5-10
## 1561 20,000-24,999 10,000-99,999 3-5
## 1562 25,000-29,999 1-99 1-2
## 1563 60,000-69,999 > 100,000 1-2
## 1564 60,000-69,999 10,000-99,999 3-5
## 1565 60,000-69,999 100-999 1-2
## 1566 <NA> <NA> None
## 1567 0-999 1-99 5-10
## 1568 <NA> <NA> 1-2
## 1569 15,000-19,999 100-999 < 1
## 1570 20,000-24,999 1-99 < 1
## 1571 0-999 1-99 3-5
## 1572 1,000-1,999 1-99 3-5
## 1573 20,000-24,999 100-999 10-20
## 1574 4,000-4,999 100-999 < 1
## 1575 0-999 0 None
## 1576 15,000-19,999 0 1-2
## 1577 0-999 100-999 1-2
## 1578 <NA> <NA> < 1
## 1579 25,000-29,999 1-99 3-5
## 1580 <NA> <NA> None
## 1581 40,000-49,999 0 3-5
## 1582 125,000-149,999 > 100,000 20+
## 1583 30,000-39,999 100-999 1-2
## 1584 150,000-199,999 10,000-99,999 10-20
## 1585 60,000-69,999 0 3-5
## 1586 30,000-39,999 100-999 1-2
## 1587 1,000-1,999 1000-9,999 < 1
## 1588 <NA> <NA> 1-2
## 1589 80,000-89,999 1000-9,999 < 1
## 1590 100,000-124,999 1000-9,999 1-2
## 1591 <NA> <NA> 3-5
## 1592 10,000-14,999 0 20+
## 1593 125,000-149,999 10,000-99,999 10-20
## 1594 <NA> <NA> < 1
## 1595 0-999 1000-9,999 5-10
## 1596 30,000-39,999 1000-9,999 5-10
## 1597 90,000-99,999 10,000-99,999 10-20
## 1598 <NA> <NA> < 1
## 1599 15,000-19,999 1000-9,999 3-5
## 1600 <NA> <NA> 5-10
## 1601 30,000-39,999 0 1-2
## 1602 90,000-99,999 > 100,000 1-2
## 1603 3,000-3,999 0 5-10
## 1604 <NA> <NA> < 1
## 1605 <NA> <NA> 10-20
## 1606 <NA> <NA> < 1
## 1607 20,000-24,999 1000-9,999 < 1
## 1608 70,000-79,999 > 100,000 1-2
## 1609 125,000-149,999 > 100,000 5-10
## 1610 <NA> <NA> < 1
## 1611 50,000-59,999 0 3-5
## 1612 <NA> <NA> < 1
## 1613 0-999 0 20+
## 1614 150,000-199,999 10,000-99,999 20+
## 1615 150,000-199,999 > 100,000 3-5
## 1616 150,000-199,999 10,000-99,999 5-10
## 1617 <NA> <NA> < 1
## 1618 20,000-24,999 10,000-99,999 5-10
## 1619 125,000-149,999 > 100,000 3-5
## 1620 2,000-2,999 1000-9,999 3-5
## 1621 60,000-69,999 0 5-10
## 1622 100,000-124,999 1000-9,999 20+
## 1623 4,000-4,999 100-999 < 1
## 1624 40,000-49,999 1000-9,999 1-2
## 1625 0-999 > 100,000 3-5
## 1626 70,000-79,999 0 20+
## 1627 25,000-29,999 > 100,000 < 1
## 1628 50,000-59,999 > 100,000 10-20
## 1629 150,000-199,999 0 10-20
## 1630 25,000-29,999 10,000-99,999 1-2
## 1631 40,000-49,999 0 10-20
## 1632 5,000-7,499 100-999 < 1
## 1633 30,000-39,999 1000-9,999 5-10
## 1634 200,000-249,999 10,000-99,999 20+
## 1635 <NA> <NA> < 1
## 1636 100,000-124,999 > 100,000 3-5
## 1637 2,000-2,999 0 5-10
## 1638 0-999 100-999 1-2
## 1639 1,000-1,999 0 3-5
## 1640 150,000-199,999 > 100,000 10-20
## 1641 <NA> <NA> < 1
## 1642 3,000-3,999 0 1-2
## 1643 80,000-89,999 0 3-5
## 1644 70,000-79,999 100-999 < 1
## 1645 100,000-124,999 0 None
## 1646 100,000-124,999 0 5-10
## 1647 <NA> <NA> < 1
## 1648 0-999 1-99 < 1
## 1649 10,000-14,999 100-999 < 1
## 1650 <NA> <NA> 1-2
## 1651 <NA> <NA> < 1
## 1652 60,000-69,999 100-999 5-10
## 1653 20,000-24,999 0 < 1
## 1654 <NA> <NA> 3-5
## 1655 100,000-124,999 10,000-99,999 3-5
## 1656 1,000-1,999 1000-9,999 1-2
## 1657 40,000-49,999 1-99 1-2
## 1658 125,000-149,999 10,000-99,999 10-20
## 1659 80,000-89,999 10,000-99,999 3-5
## 1660 70,000-79,999 0 < 1
## 1661 60,000-69,999 0 10-20
## 1662 <NA> <NA> 1-2
## 1663 30,000-39,999 0 5-10
## 1664 100,000-124,999 0 10-20
## 1665 70,000-79,999 1000-9,999 < 1
## 1666 125,000-149,999 1000-9,999 3-5
## 1667 0-999 1-99 < 1
## 1668 125,000-149,999 100-999 3-5
## 1669 100,000-124,999 > 100,000 5-10
## 1670 50,000-59,999 10,000-99,999 1-2
## 1671 30,000-39,999 100-999 1-2
## 1672 <NA> <NA> < 1
## 1673 10,000-14,999 > 100,000 None
## 1674 25,000-29,999 0 < 1
## 1675 60,000-69,999 0 20+
## 1676 <NA> <NA> 5-10
## 1677 200,000-249,999 > 100,000 10-20
## 1678 40,000-49,999 0 1-2
## 1679 5,000-7,499 0 < 1
## 1680 150,000-199,999 0 3-5
## 1681 125,000-149,999 10,000-99,999 20+
## 1682 90,000-99,999 10,000-99,999 20+
## 1683 125,000-149,999 0 1-2
## 1684 <NA> <NA> 1-2
## 1685 70,000-79,999 1-99 5-10
## 1686 <NA> <NA> < 1
## 1687 <NA> <NA> 5-10
## 1688 7,500-9,999 100-999 3-5
## 1689 50,000-59,999 0 3-5
## 1690 30,000-39,999 0 < 1
## 1691 50,000-59,999 1-99 3-5
## 1692 40,000-49,999 0 3-5
## 1693 <NA> <NA> < 1
## 1694 <NA> <NA> None
## 1695 150,000-199,999 1000-9,999 10-20
## 1696 1,000-1,999 1-99 3-5
## 1697 50,000-59,999 1000-9,999 1-2
## 1698 90,000-99,999 1-99 10-20
## 1699 50,000-59,999 > 100,000 10-20
## 1700 20,000-24,999 0 None
## 1701 0-999 1-99 20+
## 1702 <NA> <NA> 1-2
## 1703 150,000-199,999 10,000-99,999 5-10
## 1704 150,000-199,999 0 5-10
## 1705 200,000-249,999 0 None
## 1706 3,000-3,999 1000-9,999 3-5
## 1707 1,000-1,999 100-999 1-2
## 1708 125,000-149,999 0 3-5
## 1709 150,000-199,999 10,000-99,999 3-5
## 1710 <NA> <NA> < 1
## 1711 <NA> <NA> 1-2
## 1712 0-999 1-99 < 1
## 1713 125,000-149,999 > 100,000 10-20
## 1714 50,000-59,999 100-999 5-10
## 1715 70,000-79,999 100-999 10-20
## 1716 50,000-59,999 10,000-99,999 5-10
## 1717 70,000-79,999 0 < 1
## 1718 25,000-29,999 0 3-5
## 1719 <NA> <NA> 3-5
## 1720 10,000-14,999 1000-9,999 3-5
## 1721 25,000-29,999 100-999 3-5
## 1722 0-999 1-99 < 1
## 1723 30,000-39,999 0 1-2
## 1724 20,000-24,999 0 < 1
## 1725 <NA> <NA> 1-2
## 1726 40,000-49,999 1-99 5-10
## 1727 0-999 0 5-10
## 1728 90,000-99,999 100-999 3-5
## 1729 <NA> <NA> 1-2
## 1730 5,000-7,499 0 5-10
## 1731 25,000-29,999 0 None
## 1732 100,000-124,999 1000-9,999 20+
## 1733 150,000-199,999 > 100,000 20+
## 1734 50,000-59,999 100-999 3-5
## 1735 0-999 0 < 1
## 1736 30,000-39,999 100-999 1-2
## 1737 3,000-3,999 1-99 < 1
## 1738 70,000-79,999 0 3-5
## 1739 50,000-59,999 100-999 3-5
## 1740 2,000-2,999 10,000-99,999 20+
## 1741 <NA> <NA> < 1
## 1742 <NA> <NA> 3-5
## 1743 <NA> <NA> 1-2
## 1744 60,000-69,999 10,000-99,999 5-10
## 1745 100,000-124,999 > 100,000 10-20
## 1746 40,000-49,999 1-99 10-20
## 1747 <NA> <NA> 3-5
## 1748 90,000-99,999 100-999 < 1
## 1749 70,000-79,999 0 1-2
## 1750 40,000-49,999 0 3-5
## 1751 <NA> <NA> < 1
## 1752 100,000-124,999 1-99 5-10
## 1753 4,000-4,999 1000-9,999 1-2
## 1754 40,000-49,999 100-999 5-10
## 1755 <NA> <NA> < 1
## 1756 <NA> <NA> < 1
## 1757 60,000-69,999 1-99 20+
## 1758 20,000-24,999 0 < 1
## 1759 5,000-7,499 100-999 3-5
## 1760 100,000-124,999 100-999 10-20
## 1761 40,000-49,999 100-999 3-5
## 1762 40,000-49,999 0 3-5
## 1763 1,000-1,999 0 1-2
## 1764 4,000-4,999 0 None
## 1765 150,000-199,999 10,000-99,999 3-5
## 1766 50,000-59,999 100-999 1-2
## 1767 <NA> <NA> < 1
## 1768 200,000-249,999 0 10-20
## 1769 50,000-59,999 > 100,000 5-10
## 1770 1,000-1,999 100-999 1-2
## 1771 50,000-59,999 0 1-2
## 1772 <NA> <NA> < 1
## 1773 <NA> <NA> < 1
## 1774 <NA> <NA> 1-2
## 1775 40,000-49,999 0 1-2
## 1776 2,000-2,999 1-99 < 1
## 1777 80,000-89,999 1000-9,999 None
## 1778 90,000-99,999 1000-9,999 5-10
## 1779 10,000-14,999 0 1-2
## 1780 60,000-69,999 0 3-5
## 1781 <NA> <NA> 1-2
## 1782 60,000-69,999 1000-9,999 5-10
## 1783 <NA> <NA> 5-10
## 1784 40,000-49,999 1-99 < 1
## 1785 125,000-149,999 > 100,000 10-20
## 1786 5,000-7,499 0 5-10
## 1787 4,000-4,999 1000-9,999 1-2
## 1788 25,000-29,999 0 5-10
## 1789 0-999 0 < 1
## 1790 40,000-49,999 0 5-10
## 1791 70,000-79,999 0 5-10
## 1792 0-999 0 < 1
## 1793 30,000-39,999 0 3-5
## 1794 80,000-89,999 0 < 1
## 1795 125,000-149,999 100-999 None
## 1796 90,000-99,999 > 100,000 3-5
## 1797 0-999 0 10-20
## 1798 30,000-39,999 0 < 1
## 1799 200,000-249,999 100-999 < 1
## 1800 <NA> <NA> < 1
## 1801 10,000-14,999 1000-9,999 5-10
## 1802 <NA> <NA> 1-2
## 1803 60,000-69,999 0 3-5
## 1804 <NA> <NA> < 1
## 1805 60,000-69,999 10,000-99,999 5-10
## 1806 100,000-124,999 > 100,000 5-10
## 1807 2,000-2,999 1000-9,999 None
## 1808 <NA> <NA> 1-2
## 1809 0-999 1-99 1-2
## 1810 <NA> <NA> 5-10
## 1811 25,000-29,999 0 5-10
## 1812 <NA> <NA> 1-2
## 1813 0-999 1-99 5-10
## 1814 70,000-79,999 1000-9,999 None
## 1815 <NA> <NA> 20+
## 1816 <NA> <NA> < 1
## 1817 60,000-69,999 10,000-99,999 5-10
## 1818 100,000-124,999 0 20+
## 1819 70,000-79,999 1-99 10-20
## 1820 250,000-299,999 10,000-99,999 10-20
## 1821 <NA> <NA> 3-5
## 1822 0-999 0 < 1
## 1823 70,000-79,999 0 None
## 1824 60,000-69,999 1000-9,999 5-10
## 1825 90,000-99,999 0 3-5
## 1826 100,000-124,999 100-999 20+
## 1827 0-999 0 < 1
## 1828 <NA> <NA> 5-10
## 1829 5,000-7,499 0 < 1
## 1830 100,000-124,999 0 5-10
## 1831 125,000-149,999 > 100,000 20+
## 1832 150,000-199,999 > 100,000 20+
## 1833 0-999 0 1-2
## 1834 60,000-69,999 > 100,000 3-5
## 1835 <NA> <NA> 3-5
## 1836 <NA> <NA> 1-2
## 1837 <NA> <NA> None
## 1838 1,000-1,999 0 3-5
## 1839 10,000-14,999 10,000-99,999 < 1
## 1840 7,500-9,999 0 5-10
## 1841 <NA> <NA> 3-5
## 1842 50,000-59,999 100-999 5-10
## 1843 125,000-149,999 0 1-2
## 1844 <NA> <NA> 1-2
## 1845 300,000-500,000 10,000-99,999 10-20
## 1846 <NA> <NA> < 1
## 1847 300,000-500,000 10,000-99,999 3-5
## 1848 40,000-49,999 100-999 1-2
## 1849 <NA> <NA> 5-10
## 1850 40,000-49,999 1-99 1-2
## 1851 0-999 0 1-2
## 1852 90,000-99,999 10,000-99,999 3-5
## 1853 90,000-99,999 0 5-10
## 1854 200,000-249,999 100-999 5-10
## 1855 300,000-500,000 0 20+
## 1856 50,000-59,999 10,000-99,999 < 1
## 1857 250,000-299,999 > 100,000 20+
## 1858 90,000-99,999 0 20+
## 1859 40,000-49,999 0 3-5
## 1860 0-999 0 < 1
## 1861 100,000-124,999 100-999 10-20
## 1862 <NA> <NA> < 1
## 1863 <NA> <NA> < 1
## 1864 10,000-14,999 1000-9,999 < 1
## 1865 80,000-89,999 1000-9,999 3-5
## 1866 60,000-69,999 0 20+
## 1867 3,000-3,999 100-999 10-20
## 1868 125,000-149,999 1000-9,999 5-10
## 1869 2,000-2,999 100-999 3-5
## 1870 > 500,000 100-999 1-2
## 1871 60,000-69,999 0 3-5
## 1872 <NA> <NA> 1-2
## 1873 <NA> <NA> < 1
## 1874 <NA> <NA> 1-2
## 1875 90,000-99,999 > 100,000 20+
## 1876 100,000-124,999 1000-9,999 20+
## 1877 7,500-9,999 0 < 1
## 1878 100,000-124,999 100-999 20+
## 1879 300,000-500,000 > 100,000 5-10
## 1880 0-999 0 None
## 1881 0-999 100-999 1-2
## 1882 125,000-149,999 10,000-99,999 10-20
## 1883 10,000-14,999 0 1-2
## 1884 <NA> <NA> < 1
## 1885 150,000-199,999 10,000-99,999 5-10
## 1886 70,000-79,999 1000-9,999 5-10
## 1887 7,500-9,999 100-999 < 1
## 1888 40,000-49,999 > 100,000 3-5
## 1889 <NA> <NA> < 1
## 1890 <NA> <NA> < 1
## 1891 300,000-500,000 > 100,000 20+
## 1892 150,000-199,999 10,000-99,999 10-20
## 1893 25,000-29,999 10,000-99,999 3-5
## 1894 15,000-19,999 1000-9,999 3-5
## 1895 <NA> <NA> 3-5
## 1896 100,000-124,999 > 100,000 3-5
## 1897 <NA> <NA> 3-5
## 1898 150,000-199,999 10,000-99,999 5-10
## 1899 60,000-69,999 100-999 10-20
## 1900 <NA> <NA> 1-2
## 1901 80,000-89,999 1000-9,999 5-10
## 1902 20,000-24,999 0 < 1
## 1903 70,000-79,999 > 100,000 3-5
## 1904 125,000-149,999 10,000-99,999 10-20
## 1905 10,000-14,999 100-999 < 1
## 1906 50,000-59,999 > 100,000 20+
## 1907 300,000-500,000 0 3-5
## 1908 100,000-124,999 > 100,000 5-10
## 1909 10,000-14,999 0 < 1
## 1910 90,000-99,999 1000-9,999 10-20
## 1911 <NA> <NA> 1-2
## 1912 10,000-14,999 0 1-2
## 1913 20,000-24,999 0 1-2
## 1914 250,000-299,999 10,000-99,999 3-5
## 1915 15,000-19,999 10,000-99,999 10-20
## 1916 150,000-199,999 10,000-99,999 1-2
## 1917 250,000-299,999 10,000-99,999 10-20
## 1918 50,000-59,999 100-999 1-2
## 1919 <NA> <NA> < 1
## 1920 150,000-199,999 0 3-5
## 1921 0-999 1-99 1-2
## 1922 0-999 0 < 1
## 1923 80,000-89,999 0 3-5
## 1924 1,000-1,999 100-999 1-2
## 1925 10,000-14,999 100-999 10-20
## 1926 <NA> <NA> 1-2
## 1927 125,000-149,999 10,000-99,999 5-10
## 1928 <NA> <NA> 3-5
## 1929 60,000-69,999 > 100,000 3-5
## 1930 <NA> <NA> < 1
## 1931 30,000-39,999 1-99 3-5
## 1932 <NA> <NA> 3-5
## 1933 80,000-89,999 > 100,000 3-5
## 1934 25,000-29,999 > 100,000 3-5
## 1935 50,000-59,999 100-999 5-10
## 1936 30,000-39,999 1000-9,999 1-2
## 1937 100,000-124,999 0 3-5
## 1938 50,000-59,999 1-99 < 1
## 1939 30,000-39,999 0 5-10
## 1940 40,000-49,999 100-999 5-10
## 1941 10,000-14,999 100-999 1-2
## 1942 100,000-124,999 10,000-99,999 10-20
## 1943 <NA> <NA> < 1
## 1944 30,000-39,999 10,000-99,999 5-10
## 1945 <NA> <NA> < 1
## 1946 0-999 10,000-99,999 5-10
## 1947 150,000-199,999 0 3-5
## 1948 25,000-29,999 100-999 3-5
## 1949 0-999 1000-9,999 < 1
## 1950 5,000-7,499 0 5-10
## 1951 20,000-24,999 0 5-10
## 1952 125,000-149,999 > 100,000 5-10
## 1953 2,000-2,999 0 5-10
## 1954 25,000-29,999 > 100,000 < 1
## 1955 150,000-199,999 > 100,000 20+
## 1956 100,000-124,999 1000-9,999 3-5
## 1957 0-999 1-99 1-2
## 1958 30,000-39,999 1000-9,999 1-2
## 1959 15,000-19,999 100-999 1-2
## 1960 <NA> <NA> 5-10
## 1961 20,000-24,999 0 1-2
## 1962 150,000-199,999 100-999 1-2
## 1963 80,000-89,999 10,000-99,999 20+
## 1964 2,000-2,999 1000-9,999 5-10
## 1965 0-999 1000-9,999 1-2
## 1966 80,000-89,999 1-99 5-10
## 1967 <NA> <NA> 5-10
## 1968 60,000-69,999 0 1-2
## 1969 <NA> <NA> None
## 1970 250,000-299,999 0 5-10
## 1971 10,000-14,999 0 < 1
## 1972 0-999 0 < 1
## 1973 <NA> <NA> 3-5
## 1974 100,000-124,999 0 < 1
## 1975 0-999 0 1-2
## 1976 100,000-124,999 > 100,000 10-20
## 1977 100,000-124,999 10,000-99,999 10-20
## 1978 <NA> <NA> 1-2
## 1979 <NA> <NA> None
## 1980 <NA> <NA> 3-5
## 1981 100,000-124,999 100-999 1-2
## 1982 <NA> <NA> 1-2
## 1983 <NA> <NA> 1-2
## 1984 5,000-7,499 1000-9,999 1-2
## 1985 125,000-149,999 0 < 1
## 1986 2,000-2,999 0 3-5
## 1987 125,000-149,999 > 100,000 3-5
## 1988 90,000-99,999 0 < 1
## 1989 80,000-89,999 10,000-99,999 3-5
## 1990 150,000-199,999 0 10-20
## 1991 <NA> <NA> < 1
## 1992 7,500-9,999 0 < 1
## 1993 125,000-149,999 0 < 1
## 1994 5,000-7,499 1000-9,999 < 1
## 1995 1,000-1,999 1-99 1-2
## 1996 <NA> <NA> 1-2
## 1997 50,000-59,999 100-999 3-5
## 1998 100,000-124,999 1000-9,999 5-10
## 1999 40,000-49,999 > 100,000 3-5
## 2000 5,000-7,499 0 1-2
## 2001 40,000-49,999 100-999 5-10
## 2002 40,000-49,999 1000-9,999 1-2
## 2003 100,000-124,999 0 5-10
## 2004 80,000-89,999 0 1-2
## 2005 70,000-79,999 100-999 3-5
## 2006 7,500-9,999 100-999 1-2
## 2007 70,000-79,999 > 100,000 1-2
## 2008 10,000-14,999 100-999 < 1
## 2009 <NA> <NA> 1-2
## 2010 30,000-39,999 1-99 < 1
## 2011 <NA> <NA> < 1
## 2012 <NA> <NA> < 1
## 2013 125,000-149,999 100-999 20+
## 2014 <NA> <NA> 1-2
## 2015 1,000-1,999 10,000-99,999 3-5
## 2016 50,000-59,999 10,000-99,999 1-2
## 2017 15,000-19,999 0 20+
## 2018 100,000-124,999 10,000-99,999 20+
## 2019 100,000-124,999 0 < 1
## 2020 0-999 0 5-10
## 2021 3,000-3,999 100-999 1-2
## 2022 100,000-124,999 100-999 3-5
## 2023 <NA> <NA> None
## 2024 0-999 0 < 1
## 2025 7,500-9,999 1000-9,999 3-5
## 2026 70,000-79,999 0 3-5
## 2027 0-999 1-99 1-2
## 2028 7,500-9,999 0 1-2
## 2029 <NA> <NA> 3-5
## 2030 80,000-89,999 10,000-99,999 10-20
## 2031 250,000-299,999 10,000-99,999 5-10
## 2032 <NA> <NA> 1-2
## 2033 100,000-124,999 100-999 3-5
## 2034 <NA> <NA> < 1
## 2035 50,000-59,999 0 1-2
## 2036 0-999 0 < 1
## 2037 <NA> <NA> 3-5
## 2038 > 500,000 > 100,000 10-20
## 2039 100,000-124,999 > 100,000 3-5
## 2040 60,000-69,999 1000-9,999 10-20
## 2041 70,000-79,999 0 < 1
## 2042 <NA> <NA> 1-2
## 2043 0-999 0 5-10
## 2044 60,000-69,999 100-999 3-5
## 2045 5,000-7,499 1-99 < 1
## 2046 90,000-99,999 0 < 1
## 2047 90,000-99,999 100-999 3-5
## 2048 3,000-3,999 100-999 1-2
## 2049 <NA> <NA> < 1
## 2050 <NA> <NA> 1-2
## 2051 100,000-124,999 0 < 1
## 2052 <NA> <NA> 1-2
## 2053 60,000-69,999 1000-9,999 1-2
## 2054 90,000-99,999 0 3-5
## 2055 5,000-7,499 10,000-99,999 5-10
## 2056 10,000-14,999 1000-9,999 3-5
## 2057 300,000-500,000 10,000-99,999 20+
## 2058 1,000-1,999 1000-9,999 None
## 2059 7,500-9,999 0 < 1
## 2060 <NA> <NA> < 1
## 2061 <NA> <NA> 3-5
## 2062 7,500-9,999 0 None
## 2063 100,000-124,999 10,000-99,999 5-10
## 2064 <NA> <NA> < 1
## 2065 50,000-59,999 0 < 1
## 2066 125,000-149,999 10,000-99,999 3-5
## 2067 60,000-69,999 0 1-2
## 2068 90,000-99,999 0 1-2
## 2069 <NA> <NA> 3-5
## 2070 150,000-199,999 > 100,000 5-10
## 2071 150,000-199,999 > 100,000 5-10
## 2072 70,000-79,999 1-99 10-20
## 2073 80,000-89,999 100-999 5-10
## 2074 30,000-39,999 0 3-5
## 2075 100,000-124,999 0 5-10
## 2076 20,000-24,999 100-999 3-5
## 2077 50,000-59,999 0 5-10
## 2078 150,000-199,999 1000-9,999 10-20
## 2079 7,500-9,999 0 None
## 2080 125,000-149,999 100-999 3-5
## 2081 <NA> <NA> < 1
## 2082 20,000-24,999 100-999 3-5
## 2083 80,000-89,999 1000-9,999 3-5
## 2084 10,000-14,999 1-99 3-5
## 2085 40,000-49,999 10,000-99,999 1-2
## 2086 30,000-39,999 1-99 3-5
## 2087 25,000-29,999 0 < 1
## 2088 40,000-49,999 0 3-5
## 2089 20,000-24,999 100-999 < 1
## 2090 40,000-49,999 1000-9,999 10-20
## 2091 7,500-9,999 0 3-5
## 2092 5,000-7,499 0 < 1
## 2093 <NA> <NA> < 1
## 2094 10,000-14,999 1000-9,999 1-2
## 2095 <NA> <NA> < 1
## 2096 100,000-124,999 1000-9,999 10-20
## 2097 <NA> <NA> < 1
## 2098 125,000-149,999 100-999 1-2
## 2099 40,000-49,999 0 < 1
## 2100 70,000-79,999 1000-9,999 10-20
## 2101 > 500,000 100-999 5-10
## 2102 <NA> <NA> 1-2
## 2103 90,000-99,999 1000-9,999 3-5
## 2104 40,000-49,999 10,000-99,999 10-20
## 2105 70,000-79,999 > 100,000 3-5
## 2106 3,000-3,999 100-999 3-5
## 2107 50,000-59,999 0 < 1
## 2108 30,000-39,999 0 < 1
## 2109 0-999 1000-9,999 1-2
## 2110 90,000-99,999 > 100,000 10-20
## 2111 60,000-69,999 100-999 5-10
## 2112 <NA> <NA> 1-2
## 2113 10,000-14,999 0 1-2
## 2114 20,000-24,999 0 < 1
## 2115 1,000-1,999 100-999 1-2
## 2116 <NA> <NA> 1-2
## 2117 <NA> <NA> < 1
## 2118 <NA> <NA> < 1
## 2119 100,000-124,999 10,000-99,999 5-10
## 2120 20,000-24,999 10,000-99,999 3-5
## 2121 10,000-14,999 0 < 1
## 2122 <NA> <NA> < 1
## 2123 30,000-39,999 0 3-5
## 2124 125,000-149,999 1000-9,999 5-10
## 2125 <NA> <NA> 3-5
## 2126 30,000-39,999 0 20+
## 2127 25,000-29,999 100-999 3-5
## 2128 50,000-59,999 1000-9,999 3-5
## 2129 100,000-124,999 > 100,000 3-5
## 2130 <NA> <NA> 1-2
## 2131 <NA> <NA> < 1
## 2132 125,000-149,999 100-999 3-5
## 2133 50,000-59,999 100-999 3-5
## 2134 <NA> <NA> 1-2
## 2135 100,000-124,999 0 20+
## 2136 125,000-149,999 0 5-10
## 2137 100,000-124,999 > 100,000 3-5
## 2138 90,000-99,999 100-999 5-10
## 2139 <NA> <NA> 1-2
## 2140 70,000-79,999 1000-9,999 10-20
## 2141 15,000-19,999 1000-9,999 1-2
## 2142 <NA> <NA> 1-2
## 2143 200,000-249,999 10,000-99,999 10-20
## 2144 1,000-1,999 1-99 1-2
## 2145 <NA> <NA> 1-2
## 2146 1,000-1,999 100-999 1-2
## 2147 50,000-59,999 1-99 < 1
## 2148 3,000-3,999 10,000-99,999 < 1
## 2149 10,000-14,999 1-99 5-10
## 2150 <NA> <NA> 3-5
## 2151 3,000-3,999 1000-9,999 1-2
## 2152 125,000-149,999 10,000-99,999 5-10
## 2153 100,000-124,999 0 5-10
## 2154 <NA> <NA> 3-5
## 2155 150,000-199,999 > 100,000 5-10
## 2156 <NA> <NA> 1-2
## 2157 <NA> <NA> < 1
## 2158 70,000-79,999 100-999 1-2
## 2159 0-999 0 3-5
## 2160 10,000-14,999 1-99 < 1
## 2161 20,000-24,999 > 100,000 10-20
## 2162 125,000-149,999 10,000-99,999 5-10
## 2163 20,000-24,999 0 < 1
## 2164 125,000-149,999 100-999 3-5
## 2165 70,000-79,999 > 100,000 20+
## 2166 4,000-4,999 0 3-5
## 2167 7,500-9,999 10,000-99,999 5-10
## 2168 10,000-14,999 > 100,000 10-20
## 2169 70,000-79,999 0 5-10
## 2170 40,000-49,999 1000-9,999 3-5
## 2171 <NA> <NA> 5-10
## 2172 2,000-2,999 100-999 3-5
## 2173 <NA> <NA> 3-5
## 2174 <NA> <NA> 5-10
## 2175 0-999 0 1-2
## 2176 <NA> <NA> 1-2
## 2177 70,000-79,999 0 20+
## 2178 300,000-500,000 1000-9,999 5-10
## 2179 15,000-19,999 0 3-5
## 2180 80,000-89,999 10,000-99,999 3-5
## 2181 30,000-39,999 1000-9,999 1-2
## 2182 60,000-69,999 100-999 20+
## 2183 50,000-59,999 0 1-2
## 2184 <NA> <NA> 1-2
## 2185 30,000-39,999 100-999 3-5
## 2186 20,000-24,999 1000-9,999 3-5
## 2187 <NA> <NA> 1-2
## 2188 300,000-500,000 > 100,000 5-10
## 2189 250,000-299,999 10,000-99,999 5-10
## 2190 <NA> <NA> 1-2
## 2191 100,000-124,999 10,000-99,999 5-10
## 2192 30,000-39,999 1000-9,999 < 1
## 2193 <NA> <NA> None
## 2194 90,000-99,999 1000-9,999 3-5
## 2195 25,000-29,999 1000-9,999 3-5
## 2196 150,000-199,999 > 100,000 5-10
## 2197 5,000-7,499 0 None
## 2198 <NA> <NA> 1-2
## 2199 25,000-29,999 100-999 < 1
## 2200 40,000-49,999 100-999 1-2
## 2201 0-999 100-999 1-2
## 2202 125,000-149,999 0 10-20
## 2203 90,000-99,999 1-99 3-5
## 2204 70,000-79,999 0 1-2
## 2205 60,000-69,999 0 3-5
## 2206 90,000-99,999 1000-9,999 3-5
## 2207 70,000-79,999 1-99 3-5
## 2208 0-999 10,000-99,999 3-5
## 2209 200,000-249,999 > 100,000 3-5
## 2210 40,000-49,999 100-999 3-5
## 2211 5,000-7,499 1-99 1-2
## 2212 200,000-249,999 10,000-99,999 5-10
## 2213 80,000-89,999 100-999 3-5
## 2214 0-999 0 3-5
## 2215 <NA> <NA> None
## 2216 0-999 0 None
## 2217 150,000-199,999 1000-9,999 20+
## 2218 70,000-79,999 1000-9,999 3-5
## 2219 3,000-3,999 0 1-2
## 2220 10,000-14,999 0 3-5
## 2221 15,000-19,999 1-99 1-2
## 2222 125,000-149,999 10,000-99,999 5-10
## 2223 150,000-199,999 1000-9,999 3-5
## 2224 250,000-299,999 > 100,000 10-20
## 2225 15,000-19,999 1000-9,999 < 1
## 2226 5,000-7,499 0 1-2
## 2227 2,000-2,999 1-99 5-10
## 2228 30,000-39,999 100-999 < 1
## 2229 125,000-149,999 0 5-10
## 2230 200,000-249,999 10,000-99,999 5-10
## 2231 300,000-500,000 10,000-99,999 20+
## 2232 <NA> <NA> 1-2
## 2233 10,000-14,999 0 1-2
## 2234 <NA> <NA> 1-2
## 2235 <NA> <NA> < 1
## 2236 100,000-124,999 10,000-99,999 3-5
## 2237 100,000-124,999 1000-9,999 10-20
## 2238 2,000-2,999 1-99 1-2
## 2239 <NA> <NA> 1-2
## 2240 <NA> <NA> < 1
## 2241 5,000-7,499 0 < 1
## 2242 10,000-14,999 100-999 1-2
## 2243 125,000-149,999 > 100,000 5-10
## 2244 10,000-14,999 1000-9,999 5-10
## 2245 50,000-59,999 0 None
## 2246 100,000-124,999 1000-9,999 None
## 2247 125,000-149,999 1000-9,999 < 1
## 2248 <NA> <NA> 3-5
## 2249 30,000-39,999 1-99 1-2
## 2250 <NA> <NA> 3-5
## 2251 <NA> <NA> < 1
## 2252 100,000-124,999 0 1-2
## 2253 50,000-59,999 10,000-99,999 3-5
## 2254 1,000-1,999 0 3-5
## 2255 5,000-7,499 100-999 1-2
## 2256 50,000-59,999 > 100,000 1-2
## 2257 0-999 0 < 1
## 2258 50,000-59,999 0 < 1
## 2259 20,000-24,999 0 1-2
## 2260 <NA> <NA> 1-2
## 2261 50,000-59,999 1000-9,999 5-10
## 2262 5,000-7,499 0 1-2
## 2263 0-999 0 < 1
## 2264 <NA> <NA> 5-10
## 2265 30,000-39,999 1000-9,999 1-2
## 2266 <NA> <NA> < 1
## 2267 5,000-7,499 100-999 None
## 2268 <NA> <NA> < 1
## 2269 40,000-49,999 0 10-20
## 2270 150,000-199,999 > 100,000 3-5
## 2271 200,000-249,999 > 100,000 20+
## 2272 <NA> <NA> 1-2
## 2273 <NA> <NA> 1-2
## 2274 150,000-199,999 10,000-99,999 3-5
## 2275 2,000-2,999 0 3-5
## 2276 0-999 0 < 1
## 2277 100,000-124,999 10,000-99,999 3-5
## 2278 <NA> <NA> < 1
## 2279 10,000-14,999 0 1-2
## 2280 70,000-79,999 100-999 < 1
## 2281 200,000-249,999 > 100,000 1-2
## 2282 <NA> <NA> < 1
## 2283 70,000-79,999 0 < 1
## 2284 <NA> <NA> < 1
## 2285 2,000-2,999 1000-9,999 < 1
## 2286 0-999 0 3-5
## 2287 80,000-89,999 100-999 3-5
## 2288 80,000-89,999 0 < 1
## 2289 50,000-59,999 > 100,000 1-2
## 2290 4,000-4,999 1000-9,999 1-2
## 2291 4,000-4,999 0 None
## 2292 100,000-124,999 0 5-10
## 2293 5,000-7,499 100-999 1-2
## 2294 100,000-124,999 1-99 3-5
## 2295 10,000-14,999 1-99 1-2
## 2296 60,000-69,999 100-999 < 1
## 2297 <NA> <NA> 5-10
## 2298 40,000-49,999 1000-9,999 3-5
## 2299 7,500-9,999 100-999 3-5
## 2300 50,000-59,999 0 1-2
## 2301 7,500-9,999 0 None
## 2302 50,000-59,999 0 3-5
## 2303 1,000-1,999 10,000-99,999 3-5
## 2304 40,000-49,999 > 100,000 20+
## 2305 50,000-59,999 1000-9,999 < 1
## 2306 150,000-199,999 1-99 5-10
## 2307 4,000-4,999 1-99 3-5
## 2308 100,000-124,999 10,000-99,999 20+
## 2309 25,000-29,999 100-999 1-2
## 2310 <NA> <NA> 1-2
## 2311 60,000-69,999 0 < 1
## 2312 <NA> <NA> < 1
## 2313 7,500-9,999 10,000-99,999 3-5
## 2314 80,000-89,999 0 5-10
## 2315 150,000-199,999 0 5-10
## 2316 15,000-19,999 0 None
## 2317 0-999 100-999 1-2
## 2318 250,000-299,999 > 100,000 20+
## 2319 <NA> <NA> 1-2
## 2320 <NA> <NA> < 1
## 2321 30,000-39,999 > 100,000 1-2
## 2322 0-999 0 3-5
## 2323 60,000-69,999 100-999 1-2
## 2324 <NA> <NA> None
## 2325 50,000-59,999 1000-9,999 3-5
## 2326 100,000-124,999 100-999 20+
## 2327 200,000-249,999 10,000-99,999 3-5
## 2328 125,000-149,999 10,000-99,999 20+
## 2329 30,000-39,999 0 1-2
## 2330 <NA> <NA> < 1
## 2331 30,000-39,999 10,000-99,999 10-20
## 2332 0-999 0 3-5
## 2333 30,000-39,999 0 < 1
## 2334 0-999 0 1-2
## 2335 <NA> <NA> < 1
## 2336 <NA> <NA> 1-2
## 2337 40,000-49,999 1000-9,999 1-2
## 2338 3,000-3,999 0 1-2
## 2339 50,000-59,999 100-999 < 1
## 2340 80,000-89,999 100-999 3-5
## 2341 100,000-124,999 0 10-20
## 2342 1,000-1,999 100-999 3-5
## 2343 200,000-249,999 > 100,000 1-2
## 2344 <NA> <NA> < 1
## 2345 <NA> <NA> 1-2
## 2346 <NA> <NA> < 1
## 2347 <NA> <NA> 1-2
## 2348 <NA> <NA> None
## 2349 70,000-79,999 0 < 1
## 2350 <NA> <NA> 1-2
## 2351 200,000-249,999 > 100,000 20+
## 2352 15,000-19,999 0 < 1
## 2353 4,000-4,999 100-999 1-2
## 2354 20,000-24,999 0 1-2
## 2355 15,000-19,999 0 < 1
## 2356 10,000-14,999 10,000-99,999 None
## 2357 <NA> <NA> < 1
## 2358 15,000-19,999 1000-9,999 None
## 2359 0-999 > 100,000 10-20
## 2360 10,000-14,999 1-99 None
## 2361 2,000-2,999 100-999 3-5
## 2362 2,000-2,999 > 100,000 None
## 2363 125,000-149,999 1000-9,999 20+
## 2364 30,000-39,999 1000-9,999 < 1
## 2365 <NA> <NA> 3-5
## 2366 50,000-59,999 0 1-2
## 2367 4,000-4,999 100-999 1-2
## 2368 <NA> <NA> 1-2
## 2369 40,000-49,999 1000-9,999 10-20
## 2370 10,000-14,999 0 < 1
## 2371 125,000-149,999 100-999 5-10
## 2372 <NA> <NA> < 1
## 2373 7,500-9,999 0 1-2
## 2374 10,000-14,999 1000-9,999 3-5
## 2375 4,000-4,999 100-999 3-5
## 2376 70,000-79,999 1000-9,999 3-5
## 2377 70,000-79,999 100-999 3-5
## 2378 70,000-79,999 0 1-2
## 2379 100,000-124,999 10,000-99,999 3-5
## 2380 <NA> <NA> < 1
## 2381 2,000-2,999 0 1-2
## 2382 4,000-4,999 1-99 3-5
## 2383 150,000-199,999 > 100,000 10-20
## 2384 70,000-79,999 100-999 < 1
## 2385 150,000-199,999 1-99 5-10
## 2386 150,000-199,999 > 100,000 20+
## 2387 25,000-29,999 10,000-99,999 3-5
## 2388 <NA> <NA> 1-2
## 2389 30,000-39,999 1000-9,999 3-5
## 2390 <NA> <NA> < 1
## 2391 100,000-124,999 10,000-99,999 10-20
## 2392 60,000-69,999 100-999 1-2
## 2393 2,000-2,999 100-999 < 1
## 2394 5,000-7,499 1000-9,999 1-2
## 2395 60,000-69,999 100-999 1-2
## 2396 70,000-79,999 100-999 20+
## 2397 <NA> <NA> < 1
## 2398 100,000-124,999 1000-9,999 10-20
## 2399 <NA> <NA> None
## 2400 <NA> <NA> < 1
## 2401 200,000-249,999 10,000-99,999 1-2
## 2402 0-999 1-99 < 1
## 2403 <NA> <NA> < 1
## 2404 100,000-124,999 100-999 3-5
## 2405 <NA> <NA> 5-10
## 2406 100,000-124,999 10,000-99,999 3-5
## 2407 90,000-99,999 100-999 5-10
## 2408 4,000-4,999 > 100,000 < 1
## 2409 <NA> <NA> < 1
## 2410 90,000-99,999 100-999 10-20
## 2411 50,000-59,999 10,000-99,999 3-5
## 2412 125,000-149,999 10,000-99,999 5-10
## 2413 1,000-1,999 100-999 < 1
## 2414 5,000-7,499 0 1-2
## 2415 7,500-9,999 0 < 1
## 2416 15,000-19,999 0 10-20
## 2417 40,000-49,999 10,000-99,999 < 1
## 2418 40,000-49,999 0 5-10
## 2419 <NA> <NA> 3-5
## 2420 <NA> <NA> 1-2
## 2421 <NA> <NA> 1-2
## 2422 <NA> <NA> None
## 2423 15,000-19,999 100-999 1-2
## 2424 100,000-124,999 10,000-99,999 10-20
## 2425 100,000-124,999 0 5-10
## 2426 <NA> <NA> < 1
## 2427 70,000-79,999 100-999 3-5
## 2428 <NA> <NA> 1-2
## 2429 50,000-59,999 > 100,000 3-5
## 2430 125,000-149,999 100-999 20+
## 2431 40,000-49,999 100-999 < 1
## 2432 <NA> <NA> < 1
## 2433 2,000-2,999 100-999 5-10
## 2434 <NA> <NA> < 1
## 2435 60,000-69,999 1-99 3-5
## 2436 5,000-7,499 100-999 5-10
## 2437 5,000-7,499 0 1-2
## 2438 0-999 100-999 < 1
## 2439 5,000-7,499 100-999 1-2
## 2440 40,000-49,999 0 10-20
## 2441 <NA> <NA> < 1
## 2442 <NA> <NA> < 1
## 2443 70,000-79,999 0 3-5
## 2444 90,000-99,999 10,000-99,999 5-10
## 2445 150,000-199,999 1000-9,999 3-5
## 2446 10,000-14,999 0 < 1
## 2447 <NA> <NA> < 1
## 2448 70,000-79,999 > 100,000 3-5
## 2449 50,000-59,999 10,000-99,999 3-5
## 2450 300,000-500,000 > 100,000 10-20
## 2451 25,000-29,999 0 1-2
## 2452 > 500,000 0 5-10
## 2453 50,000-59,999 10,000-99,999 None
## 2454 15,000-19,999 100-999 1-2
## 2455 100,000-124,999 100-999 3-5
## 2456 150,000-199,999 1000-9,999 20+
## 2457 <NA> <NA> < 1
## 2458 1,000-1,999 1000-9,999 10-20
## 2459 80,000-89,999 100-999 1-2
## 2460 100,000-124,999 100-999 5-10
## 2461 2,000-2,999 100-999 < 1
## 2462 0-999 100-999 < 1
## 2463 0-999 1-99 < 1
## 2464 30,000-39,999 100-999 1-2
## 2465 5,000-7,499 0 None
## 2466 100,000-124,999 100-999 5-10
## 2467 <NA> <NA> 1-2
## 2468 100,000-124,999 100-999 5-10
## 2469 70,000-79,999 0 3-5
## 2470 <NA> <NA> < 1
## 2471 10,000-14,999 1000-9,999 3-5
## 2472 <NA> <NA> < 1
## 2473 70,000-79,999 0 < 1
## 2474 150,000-199,999 1000-9,999 5-10
## 2475 <NA> <NA> 1-2
## 2476 250,000-299,999 > 100,000 5-10
## 2477 80,000-89,999 1000-9,999 1-2
## 2478 <NA> <NA> 3-5
## 2479 90,000-99,999 100-999 1-2
## 2480 100,000-124,999 > 100,000 < 1
## 2481 5,000-7,499 100-999 5-10
## 2482 4,000-4,999 1-99 1-2
## 2483 <NA> <NA> 5-10
## 2484 <NA> <NA> 3-5
## 2485 <NA> <NA> < 1
## 2486 15,000-19,999 100-999 1-2
## 2487 1,000-1,999 1-99 < 1
## 2488 <NA> <NA> 10-20
## 2489 20,000-24,999 0 < 1
## 2490 0-999 100-999 3-5
## 2491 50,000-59,999 100-999 3-5
## 2492 1,000-1,999 10,000-99,999 3-5
## 2493 60,000-69,999 100-999 < 1
## 2494 125,000-149,999 > 100,000 5-10
## 2495 1,000-1,999 0 1-2
## 2496 150,000-199,999 0 20+
## 2497 <NA> <NA> < 1
## 2498 150,000-199,999 100-999 < 1
## 2499 0-999 100-999 3-5
## 2500 <NA> <NA> 1-2
## 2501 10,000-14,999 100-999 1-2
## 2502 5,000-7,499 0 < 1
## 2503 <NA> <NA> < 1
## 2504 10,000-14,999 0 None
## 2505 7,500-9,999 0 None
## 2506 <NA> <NA> None
## 2507 5,000-7,499 0 5-10
## 2508 15,000-19,999 100-999 < 1
## 2509 70,000-79,999 1000-9,999 3-5
## 2510 50,000-59,999 0 10-20
## 2511 <NA> <NA> < 1
## 2512 > 500,000 > 100,000 5-10
## 2513 0-999 0 None
## 2514 5,000-7,499 1000-9,999 3-5
## 2515 <NA> <NA> < 1
## 2516 <NA> <NA> 3-5
## 2517 1,000-1,999 1000-9,999 3-5
## 2518 0-999 0 None
## 2519 100,000-124,999 10,000-99,999 20+
## 2520 <NA> <NA> None
## 2521 1,000-1,999 1-99 3-5
## 2522 30,000-39,999 1000-9,999 3-5
## 2523 10,000-14,999 0 < 1
## 2524 0-999 0 < 1
## 2525 40,000-49,999 0 5-10
## 2526 150,000-199,999 10,000-99,999 20+
## 2527 60,000-69,999 0 1-2
## 2528 4,000-4,999 0 5-10
## 2529 25,000-29,999 1-99 None
## 2530 300,000-500,000 0 3-5
## 2531 70,000-79,999 100-999 10-20
## 2532 30,000-39,999 1000-9,999 5-10
## 2533 100,000-124,999 1-99 20+
## 2534 40,000-49,999 10,000-99,999 3-5
## 2535 0-999 0 < 1
## 2536 60,000-69,999 0 10-20
## 2537 15,000-19,999 10,000-99,999 5-10
## 2538 <NA> <NA> 3-5
## 2539 <NA> <NA> < 1
## 2540 <NA> <NA> 1-2
## 2541 125,000-149,999 1000-9,999 5-10
## 2542 <NA> <NA> < 1
## 2543 <NA> <NA> 1-2
## 2544 20,000-24,999 1000-9,999 1-2
## 2545 70,000-79,999 > 100,000 5-10
## 2546 90,000-99,999 10,000-99,999 20+
## 2547 1,000-1,999 0 None
## 2548 3,000-3,999 1-99 3-5
## 2549 <NA> <NA> 1-2
## 2550 25,000-29,999 1000-9,999 10-20
## 2551 0-999 1-99 None
## 2552 1,000-1,999 10,000-99,999 3-5
## 2553 100,000-124,999 1-99 1-2
## 2554 5,000-7,499 1000-9,999 1-2
## 2555 60,000-69,999 0 < 1
## 2556 125,000-149,999 > 100,000 5-10
## 2557 100,000-124,999 10,000-99,999 3-5
## 2558 100,000-124,999 100-999 3-5
## 2559 70,000-79,999 1000-9,999 5-10
## 2560 20,000-24,999 1000-9,999 3-5
## 2561 4,000-4,999 1000-9,999 < 1
## 2562 <NA> <NA> < 1
## 2563 70,000-79,999 0 < 1
## 2564 50,000-59,999 1000-9,999 3-5
## 2565 <NA> <NA> 1-2
## 2566 40,000-49,999 1-99 3-5
## 2567 10,000-14,999 100-999 1-2
## 2568 7,500-9,999 1-99 < 1
## 2569 1,000-1,999 1-99 5-10
## 2570 125,000-149,999 > 100,000 5-10
## 2571 40,000-49,999 0 3-5
## 2572 25,000-29,999 1-99 3-5
## 2573 4,000-4,999 0 1-2
## 2574 0-999 0 < 1
## 2575 25,000-29,999 100-999 3-5
## 2576 25,000-29,999 10,000-99,999 5-10
## 2577 100,000-124,999 1000-9,999 5-10
## 2578 80,000-89,999 100-999 5-10
## 2579 90,000-99,999 0 5-10
## 2580 <NA> <NA> 5-10
## 2581 30,000-39,999 0 3-5
## 2582 200,000-249,999 10,000-99,999 20+
## 2583 4,000-4,999 1000-9,999 3-5
## 2584 0-999 100-999 < 1
## 2585 40,000-49,999 0 3-5
## 2586 2,000-2,999 1-99 5-10
## 2587 2,000-2,999 10,000-99,999 3-5
## 2588 60,000-69,999 100-999 1-2
## 2589 5,000-7,499 0 None
## 2590 4,000-4,999 1000-9,999 3-5
## 2591 20,000-24,999 > 100,000 3-5
## 2592 25,000-29,999 10,000-99,999 10-20
## 2593 <NA> <NA> 1-2
## 2594 <NA> <NA> 1-2
## 2595 25,000-29,999 1000-9,999 < 1
## 2596 15,000-19,999 100-999 3-5
## 2597 <NA> <NA> 1-2
## 2598 <NA> <NA> < 1
## 2599 60,000-69,999 10,000-99,999 5-10
## 2600 25,000-29,999 100-999 5-10
## 2601 0-999 0 1-2
## 2602 100,000-124,999 0 None
## 2603 <NA> <NA> < 1
## 2604 80,000-89,999 100-999 5-10
## 2605 90,000-99,999 > 100,000 10-20
## 2606 200,000-249,999 1000-9,999 10-20
## 2607 15,000-19,999 100-999 5-10
## 2608 <NA> <NA> 1-2
## 2609 <NA> <NA> 1-2
## 2610 <NA> <NA> < 1
## 2611 <NA> <NA> < 1
## 2612 0-999 0 None
## 2613 <NA> <NA> 1-2
## 2614 <NA> <NA> < 1
## 2615 5,000-7,499 1000-9,999 1-2
## 2616 250,000-299,999 10,000-99,999 5-10
## 2617 200,000-249,999 100-999 10-20
## 2618 70,000-79,999 10,000-99,999 3-5
## 2619 1,000-1,999 0 < 1
## 2620 125,000-149,999 > 100,000 5-10
## 2621 <NA> <NA> < 1
## 2622 5,000-7,499 1000-9,999 1-2
## 2623 70,000-79,999 1-99 5-10
## 2624 <NA> <NA> 1-2
## 2625 80,000-89,999 10,000-99,999 1-2
## 2626 40,000-49,999 0 < 1
## 2627 200,000-249,999 > 100,000 20+
## 2628 60,000-69,999 1000-9,999 1-2
## 2629 <NA> <NA> None
## 2630 60,000-69,999 > 100,000 3-5
## 2631 2,000-2,999 0 < 1
## 2632 <NA> <NA> < 1
## 2633 80,000-89,999 > 100,000 3-5
## 2634 <NA> <NA> 1-2
## 2635 2,000-2,999 1-99 < 1
## 2636 30,000-39,999 1-99 < 1
## 2637 <NA> <NA> 3-5
## 2638 <NA> <NA> < 1
## 2639 150,000-199,999 1000-9,999 3-5
## 2640 25,000-29,999 1000-9,999 1-2
## 2641 25,000-29,999 1000-9,999 3-5
## 2642 0-999 0 3-5
## 2643 0-999 1000-9,999 20+
## 2644 7,500-9,999 1-99 < 1
## 2645 60,000-69,999 0 3-5
## 2646 0-999 0 3-5
## 2647 <NA> <NA> None
## 2648 70,000-79,999 > 100,000 1-2
## 2649 40,000-49,999 0 5-10
## 2650 <NA> <NA> 20+
## 2651 125,000-149,999 > 100,000 20+
## 2652 150,000-199,999 10,000-99,999 10-20
## 2653 3,000-3,999 1-99 1-2
## 2654 100,000-124,999 10,000-99,999 3-5
## 2655 30,000-39,999 10,000-99,999 3-5
## 2656 90,000-99,999 1000-9,999 5-10
## 2657 70,000-79,999 0 20+
## 2658 <NA> <NA> 1-2
## 2659 70,000-79,999 100-999 5-10
## 2660 10,000-14,999 1000-9,999 5-10
## 2661 <NA> <NA> < 1
## 2662 25,000-29,999 10,000-99,999 1-2
## 2663 <NA> <NA> 1-2
## 2664 70,000-79,999 1000-9,999 3-5
## 2665 10,000-14,999 1000-9,999 3-5
## 2666 > 500,000 > 100,000 1-2
## 2667 30,000-39,999 0 < 1
## 2668 3,000-3,999 100-999 3-5
## 2669 <NA> <NA> 1-2
## 2670 50,000-59,999 100-999 3-5
## 2671 40,000-49,999 0 5-10
## 2672 100,000-124,999 > 100,000 5-10
## 2673 <NA> <NA> 1-2
## 2674 125,000-149,999 > 100,000 5-10
## 2675 <NA> <NA> < 1
## 2676 0-999 1-99 1-2
## 2677 <NA> <NA> 3-5
## 2678 <NA> <NA> 3-5
## 2679 10,000-14,999 0 3-5
## 2680 0-999 1-99 < 1
## 2681 <NA> <NA> 1-2
## 2682 125,000-149,999 100-999 20+
## 2683 <NA> <NA> None
## 2684 10,000-14,999 1000-9,999 3-5
## 2685 0-999 0 3-5
## 2686 100,000-124,999 1000-9,999 3-5
## 2687 70,000-79,999 100-999 3-5
## 2688 40,000-49,999 0 1-2
## 2689 150,000-199,999 1000-9,999 1-2
## 2690 40,000-49,999 1000-9,999 < 1
## 2691 1,000-1,999 0 < 1
## 2692 1,000-1,999 1-99 3-5
## 2693 <NA> <NA> 20+
## 2694 30,000-39,999 1000-9,999 5-10
## 2695 15,000-19,999 1000-9,999 3-5
## 2696 0-999 100-999 < 1
## 2697 90,000-99,999 > 100,000 5-10
## 2698 40,000-49,999 1000-9,999 3-5
## 2699 <NA> <NA> < 1
## 2700 0-999 1000-9,999 < 1
## 2701 <NA> <NA> < 1
## 2702 0-999 100-999 < 1
## 2703 <NA> <NA> < 1
## 2704 60,000-69,999 10,000-99,999 10-20
## 2705 5,000-7,499 0 None
## 2706 300,000-500,000 > 100,000 10-20
## 2707 50,000-59,999 0 < 1
## 2708 <NA> <NA> 1-2
## 2709 15,000-19,999 1-99 3-5
## 2710 125,000-149,999 10,000-99,999 3-5
## 2711 7,500-9,999 100-999 3-5
## 2712 0-999 0 3-5
## 2713 150,000-199,999 1000-9,999 10-20
## 2714 100,000-124,999 10,000-99,999 5-10
## 2715 0-999 0 3-5
## 2716 <NA> <NA> 1-2
## 2717 <NA> <NA> < 1
## 2718 125,000-149,999 1-99 5-10
## 2719 0-999 100-999 5-10
## 2720 <NA> <NA> < 1
## 2721 100,000-124,999 1-99 20+
## 2722 60,000-69,999 1000-9,999 3-5
## 2723 1,000-1,999 100-999 1-2
## 2724 2,000-2,999 0 < 1
## 2725 15,000-19,999 1-99 20+
## 2726 90,000-99,999 0 5-10
## 2727 10,000-14,999 0 1-2
## 2728 10,000-14,999 1-99 5-10
## 2729 <NA> <NA> < 1
## 2730 <NA> <NA> None
## 2731 10,000-14,999 1-99 5-10
## 2732 40,000-49,999 100-999 3-5
## 2733 0-999 0 < 1
## 2734 <NA> <NA> 1-2
## 2735 100,000-124,999 0 1-2
## 2736 30,000-39,999 > 100,000 5-10
## 2737 > 500,000 10,000-99,999 10-20
## 2738 <NA> <NA> 1-2
## 2739 1,000-1,999 0 None
## 2740 7,500-9,999 1-99 3-5
## 2741 80,000-89,999 0 < 1
## 2742 10,000-14,999 100-999 3-5
## 2743 <NA> <NA> 1-2
## 2744 50,000-59,999 > 100,000 5-10
## 2745 90,000-99,999 1000-9,999 3-5
## 2746 125,000-149,999 0 1-2
## 2747 20,000-24,999 0 < 1
## 2748 <NA> <NA> < 1
## 2749 5,000-7,499 100-999 1-2
## 2750 <NA> <NA> < 1
## 2751 20,000-24,999 100-999 1-2
## 2752 60,000-69,999 1000-9,999 10-20
## 2753 50,000-59,999 100-999 1-2
## 2754 20,000-24,999 100-999 3-5
## 2755 100,000-124,999 10,000-99,999 3-5
## 2756 90,000-99,999 100-999 3-5
## 2757 2,000-2,999 0 5-10
## 2758 10,000-14,999 100-999 < 1
## 2759 2,000-2,999 1000-9,999 None
## 2760 0-999 0 < 1
## 2761 30,000-39,999 1000-9,999 5-10
## 2762 60,000-69,999 > 100,000 10-20
## 2763 <NA> <NA> 1-2
## 2764 <NA> <NA> 1-2
## 2765 1,000-1,999 1-99 1-2
## 2766 5,000-7,499 1-99 1-2
## 2767 15,000-19,999 1000-9,999 3-5
## 2768 15,000-19,999 1000-9,999 5-10
## 2769 80,000-89,999 0 1-2
## 2770 60,000-69,999 1000-9,999 3-5
## 2771 <NA> <NA> None
## 2772 50,000-59,999 0 3-5
## 2773 10,000-14,999 1-99 < 1
## 2774 <NA> <NA> < 1
## 2775 100,000-124,999 100-999 < 1
## 2776 70,000-79,999 0 3-5
## 2777 <NA> <NA> < 1
## 2778 <NA> <NA> 5-10
## 2779 <NA> <NA> None
## 2780 0-999 0 1-2
## 2781 125,000-149,999 10,000-99,999 3-5
## 2782 70,000-79,999 10,000-99,999 1-2
## 2783 <NA> <NA> 1-2
## 2784 80,000-89,999 0 1-2
## 2785 5,000-7,499 0 3-5
## 2786 90,000-99,999 10,000-99,999 10-20
## 2787 40,000-49,999 100-999 < 1
## 2788 5,000-7,499 0 < 1
## 2789 <NA> <NA> < 1
## 2790 50,000-59,999 0 10-20
## 2791 7,500-9,999 1-99 3-5
## 2792 30,000-39,999 10,000-99,999 10-20
## 2793 25,000-29,999 1000-9,999 5-10
## 2794 <NA> <NA> < 1
## 2795 <NA> <NA> < 1
## 2796 100,000-124,999 100-999 10-20
## 2797 60,000-69,999 0 1-2
## 2798 90,000-99,999 0 10-20
## 2799 5,000-7,499 100-999 1-2
## 2800 2,000-2,999 100-999 3-5
## 2801 0-999 1-99 1-2
## 2802 300,000-500,000 > 100,000 5-10
## 2803 50,000-59,999 0 10-20
## 2804 20,000-24,999 1000-9,999 3-5
## 2805 50,000-59,999 100-999 3-5
## 2806 30,000-39,999 10,000-99,999 < 1
## 2807 0-999 100-999 5-10
## 2808 <NA> <NA> 1-2
## 2809 40,000-49,999 1000-9,999 20+
## 2810 <NA> <NA> < 1
## 2811 1,000-1,999 0 3-5
## 2812 3,000-3,999 100-999 < 1
## 2813 60,000-69,999 100-999 3-5
## 2814 90,000-99,999 10,000-99,999 20+
## 2815 <NA> <NA> < 1
## 2816 0-999 0 < 1
## 2817 10,000-14,999 0 < 1
## 2818 2,000-2,999 1-99 < 1
## 2819 0-999 0 < 1
## 2820 1,000-1,999 1000-9,999 1-2
## 2821 2,000-2,999 1-99 3-5
## 2822 <NA> <NA> 1-2
## 2823 <NA> <NA> < 1
## 2824 60,000-69,999 100-999 3-5
## 2825 15,000-19,999 10,000-99,999 None
## 2826 0-999 0 1-2
## 2827 <NA> <NA> < 1
## 2828 <NA> <NA> 3-5
## 2829 0-999 100-999 < 1
## 2830 1,000-1,999 1000-9,999 1-2
## 2831 <NA> <NA> < 1
## 2832 0-999 1000-9,999 3-5
## 2833 90,000-99,999 100-999 1-2
## 2834 > 500,000 > 100,000 3-5
## 2835 <NA> <NA> < 1
## 2836 15,000-19,999 100-999 1-2
## 2837 150,000-199,999 > 100,000 10-20
## 2838 <NA> <NA> 1-2
## 2839 15,000-19,999 0 5-10
## 2840 <NA> <NA> 1-2
## 2841 15,000-19,999 10,000-99,999 3-5
## 2842 5,000-7,499 0 < 1
## 2843 0-999 100-999 None
## 2844 300,000-500,000 10,000-99,999 5-10
## 2845 <NA> <NA> 1-2
## 2846 30,000-39,999 1000-9,999 5-10
## 2847 50,000-59,999 1000-9,999 1-2
## 2848 <NA> <NA> 1-2
## 2849 0-999 100-999 5-10
## 2850 10,000-14,999 1000-9,999 1-2
## 2851 20,000-24,999 1000-9,999 1-2
## 2852 <NA> <NA> < 1
## 2853 200,000-249,999 10,000-99,999 < 1
## 2854 30,000-39,999 0 3-5
## 2855 <NA> <NA> < 1
## 2856 50,000-59,999 100-999 1-2
## 2857 7,500-9,999 100-999 10-20
## 2858 0-999 0 < 1
## 2859 <NA> <NA> < 1
## 2860 <NA> <NA> 1-2
## 2861 <NA> <NA> 1-2
## 2862 1,000-1,999 0 1-2
## 2863 5,000-7,499 0 None
## 2864 2,000-2,999 10,000-99,999 10-20
## 2865 0-999 0 < 1
## 2866 <NA> <NA> 1-2
## 2867 0-999 0 20+
## 2868 10,000-14,999 100-999 1-2
## 2869 100,000-124,999 1-99 3-5
## 2870 <NA> <NA> < 1
## 2871 0-999 1-99 < 1
## 2872 125,000-149,999 > 100,000 10-20
## 2873 <NA> <NA> None
## 2874 <NA> <NA> < 1
## 2875 5,000-7,499 0 < 1
## 2876 1,000-1,999 100-999 3-5
## 2877 70,000-79,999 1-99 5-10
## 2878 30,000-39,999 10,000-99,999 10-20
## 2879 60,000-69,999 1-99 1-2
## 2880 5,000-7,499 0 1-2
## 2881 60,000-69,999 1000-9,999 1-2
## 2882 200,000-249,999 > 100,000 10-20
## 2883 <NA> <NA> < 1
## 2884 <NA> <NA> < 1
## 2885 20,000-24,999 100-999 3-5
## 2886 20,000-24,999 0 1-2
## 2887 0-999 0 < 1
## 2888 80,000-89,999 1000-9,999 None
## 2889 30,000-39,999 0 3-5
## 2890 10,000-14,999 0 None
## 2891 10,000-14,999 1000-9,999 3-5
## 2892 3,000-3,999 0 < 1
## 2893 150,000-199,999 100-999 10-20
## 2894 7,500-9,999 0 1-2
## 2895 150,000-199,999 0 5-10
## 2896 <NA> <NA> 20+
## 2897 70,000-79,999 0 1-2
## 2898 150,000-199,999 > 100,000 5-10
## 2899 <NA> <NA> < 1
## 2900 <NA> <NA> < 1
## 2901 <NA> <NA> 1-2
## 2902 <NA> <NA> 1-2
## 2903 <NA> <NA> < 1
## 2904 <NA> <NA> None
## 2905 15,000-19,999 1000-9,999 1-2
## 2906 20,000-24,999 100-999 5-10
## 2907 30,000-39,999 > 100,000 3-5
## 2908 25,000-29,999 0 1-2
## 2909 3,000-3,999 1000-9,999 1-2
## 2910 10,000-14,999 1000-9,999 5-10
## 2911 <NA> <NA> 3-5
## 2912 80,000-89,999 10,000-99,999 3-5
## 2913 150,000-199,999 > 100,000 20+
## 2914 125,000-149,999 > 100,000 5-10
## 2915 <NA> <NA> < 1
## 2916 10,000-14,999 1000-9,999 1-2
## 2917 20,000-24,999 > 100,000 3-5
## 2918 60,000-69,999 > 100,000 5-10
## 2919 5,000-7,499 1000-9,999 None
## 2920 <NA> <NA> 5-10
## 2921 40,000-49,999 1-99 10-20
## 2922 3,000-3,999 1-99 1-2
## 2923 10,000-14,999 10,000-99,999 None
## 2924 0-999 1000-9,999 3-5
## 2925 20,000-24,999 1000-9,999 < 1
## 2926 <NA> <NA> 1-2
## 2927 <NA> <NA> 1-2
## 2928 <NA> <NA> < 1
## 2929 30,000-39,999 10,000-99,999 < 1
## 2930 150,000-199,999 0 5-10
## 2931 <NA> <NA> 1-2
## 2932 25,000-29,999 1-99 1-2
## 2933 <NA> <NA> 1-2
## 2934 30,000-39,999 1-99 3-5
## 2935 <NA> <NA> 1-2
## 2936 50,000-59,999 1-99 None
## 2937 <NA> <NA> None
## 2938 5,000-7,499 0 < 1
## 2939 30,000-39,999 0 < 1
## 2940 15,000-19,999 100-999 1-2
## 2941 60,000-69,999 > 100,000 5-10
## 2942 60,000-69,999 0 3-5
## 2943 <NA> <NA> 3-5
## 2944 10,000-14,999 1000-9,999 1-2
## 2945 20,000-24,999 0 < 1
## 2946 <NA> <NA> < 1
## 2947 <NA> <NA> 1-2
## 2948 200,000-249,999 10,000-99,999 1-2
## 2949 <NA> <NA> 1-2
## 2950 <NA> <NA> < 1
## 2951 <NA> <NA> < 1
## 2952 10,000-14,999 0 < 1
## 2953 <NA> <NA> < 1
## 2954 <NA> <NA> < 1
## 2955 10,000-14,999 1000-9,999 3-5
## 2956 25,000-29,999 100-999 3-5
## 2957 150,000-199,999 100-999 None
## 2958 0-999 1-99 None
## 2959 40,000-49,999 100-999 1-2
## 2960 0-999 0 1-2
## 2961 7,500-9,999 1-99 3-5
## 2962 0-999 10,000-99,999 20+
## 2963 40,000-49,999 0 3-5
## 2964 30,000-39,999 0 < 1
## 2965 0-999 0 < 1
## 2966 2,000-2,999 100-999 3-5
## 2967 <NA> <NA> 1-2
## 2968 10,000-14,999 10,000-99,999 3-5
## 2969 <NA> <NA> 1-2
## 2970 2,000-2,999 1000-9,999 1-2
## 2971 <NA> <NA> 1-2
## 2972 <NA> <NA> None
## 2973 <NA> <NA> < 1
## 2974 20,000-24,999 1000-9,999 10-20
## 2975 <NA> <NA> 10-20
## 2976 3,000-3,999 100-999 5-10
## 2977 1,000-1,999 100-999 1-2
## 2978 60,000-69,999 10,000-99,999 10-20
## 2979 25,000-29,999 1-99 3-5
## 2980 7,500-9,999 1-99 1-2
## 2981 3,000-3,999 1000-9,999 5-10
## 2982 10,000-14,999 0 3-5
## 2983 60,000-69,999 10,000-99,999 10-20
## 2984 10,000-14,999 10,000-99,999 < 1
## 2985 125,000-149,999 10,000-99,999 3-5
## 2986 15,000-19,999 0 < 1
## 2987 0-999 0 None
## 2988 <NA> <NA> 1-2
## 2989 <NA> <NA> < 1
## 2990 0-999 1-99 < 1
## 2991 40,000-49,999 1000-9,999 5-10
## 2992 <NA> <NA> < 1
## 2993 <NA> <NA> 1-2
## 2994 70,000-79,999 0 < 1
## 2995 <NA> <NA> 1-2
## 2996 <NA> <NA> None
## 2997 3,000-3,999 1000-9,999 3-5
## 2998 0-999 0 1-2
## 2999 80,000-89,999 10,000-99,999 < 1
## 3000 70,000-79,999 1000-9,999 10-20
## 3001 0-999 0 None
## 3002 50,000-59,999 10,000-99,999 3-5
## 3003 5,000-7,499 100-999 3-5
## 3004 1,000-1,999 0 None
## 3005 <NA> <NA> 1-2
## 3006 0-999 100-999 1-2
## 3007 40,000-49,999 100-999 5-10
## 3008 25,000-29,999 100-999 5-10
## 3009 5,000-7,499 0 5-10
## 3010 3,000-3,999 100-999 < 1
## 3011 300,000-500,000 100-999 None
## 3012 <NA> <NA> 3-5
## 3013 0-999 100-999 3-5
## 3014 250,000-299,999 > 100,000 1-2
## 3015 80,000-89,999 1000-9,999 5-10
## 3016 <NA> <NA> < 1
## 3017 5,000-7,499 > 100,000 3-5
## 3018 <NA> <NA> 1-2
## 3019 3,000-3,999 1-99 5-10
## 3020 <NA> <NA> < 1
## 3021 <NA> <NA> < 1
## 3022 <NA> <NA> < 1
## 3023 150,000-199,999 1000-9,999 5-10
## 3024 30,000-39,999 1-99 < 1
## 3025 50,000-59,999 0 3-5
## 3026 7,500-9,999 0 1-2
## 3027 40,000-49,999 0 1-2
## 3028 100,000-124,999 10,000-99,999 3-5
## 3029 10,000-14,999 0 < 1
## 3030 20,000-24,999 1-99 None
## 3031 4,000-4,999 1000-9,999 < 1
## 3032 15,000-19,999 100-999 1-2
## 3033 80,000-89,999 0 3-5
## 3034 80,000-89,999 0 < 1
## 3035 7,500-9,999 1-99 < 1
## 3036 1,000-1,999 0 3-5
## 3037 <NA> <NA> < 1
## 3038 <NA> <NA> 1-2
## 3039 70,000-79,999 100-999 1-2
## 3040 <NA> <NA> < 1
## 3041 2,000-2,999 1000-9,999 None
## 3042 15,000-19,999 1000-9,999 3-5
## 3043 125,000-149,999 1000-9,999 3-5
## 3044 60,000-69,999 100-999 1-2
## 3045 10,000-14,999 100-999 < 1
## 3046 0-999 100-999 1-2
## 3047 60,000-69,999 10,000-99,999 5-10
## 3048 10,000-14,999 1000-9,999 1-2
## 3049 10,000-14,999 0 1-2
## 3050 100,000-124,999 > 100,000 20+
## 3051 80,000-89,999 0 1-2
## 3052 40,000-49,999 10,000-99,999 3-5
## 3053 0-999 100-999 < 1
## 3054 <NA> <NA> 1-2
## 3055 <NA> <NA> < 1
## 3056 <NA> <NA> < 1
## 3057 <NA> <NA> < 1
## 3058 40,000-49,999 1000-9,999 10-20
## 3059 150,000-199,999 0 < 1
## 3060 <NA> <NA> 1-2
## 3061 <NA> <NA> 3-5
## 3062 <NA> <NA> 3-5
## 3063 25,000-29,999 1000-9,999 3-5
## 3064 <NA> <NA> 1-2
## 3065 60,000-69,999 > 100,000 None
## 3066 90,000-99,999 1000-9,999 1-2
## 3067 <NA> <NA> < 1
## 3068 <NA> <NA> 3-5
## 3069 100,000-124,999 10,000-99,999 3-5
## 3070 30,000-39,999 > 100,000 None
## 3071 30,000-39,999 > 100,000 1-2
## 3072 <NA> <NA> < 1
## 3073 1,000-1,999 10,000-99,999 5-10
## 3074 1,000-1,999 0 None
## 3075 0-999 100-999 5-10
## 3076 0-999 100-999 3-5
## 3077 <NA> <NA> None
## 3078 10,000-14,999 1-99 1-2
## 3079 <NA> <NA> < 1
## 3080 5,000-7,499 1-99 < 1
## 3081 0-999 0 1-2
## 3082 2,000-2,999 0 1-2
## 3083 <NA> <NA> 3-5
## 3084 <NA> <NA> 1-2
## 3085 7,500-9,999 10,000-99,999 < 1
## 3086 50,000-59,999 10,000-99,999 < 1
## 3087 70,000-79,999 0 10-20
## 3088 <NA> <NA> < 1
## 3089 50,000-59,999 100-999 5-10
## 3090 15,000-19,999 100-999 3-5
## 3091 25,000-29,999 0 1-2
## 3092 1,000-1,999 0 1-2
## 3093 100,000-124,999 1-99 10-20
## 3094 20,000-24,999 1-99 1-2
## 3095 <NA> <NA> < 1
## 3096 <NA> <NA> None
## 3097 50,000-59,999 10,000-99,999 5-10
## 3098 125,000-149,999 1000-9,999 5-10
## 3099 <NA> <NA> 3-5
## 3100 <NA> <NA> < 1
## 3101 0-999 100-999 < 1
## 3102 70,000-79,999 0 5-10
## 3103 15,000-19,999 0 < 1
## 3104 <NA> <NA> < 1
## 3105 <NA> <NA> 10-20
## 3106 0-999 1-99 < 1
## 3107 100,000-124,999 > 100,000 3-5
## 3108 15,000-19,999 100-999 5-10
## 3109 0-999 100-999 3-5
## 3110 <NA> <NA> 1-2
## 3111 <NA> <NA> 3-5
## 3112 50,000-59,999 0 10-20
## 3113 4,000-4,999 1000-9,999 1-2
## 3114 1,000-1,999 0 < 1
## 3115 <NA> <NA> < 1
## 3116 <NA> <NA> 1-2
## 3117 <NA> <NA> 1-2
## 3118 <NA> <NA> < 1
## 3119 30,000-39,999 0 3-5
## 3120 10,000-14,999 > 100,000 3-5
## 3121 7,500-9,999 0 3-5
## 3122 1,000-1,999 1000-9,999 1-2
## 3123 0-999 1-99 3-5
## 3124 15,000-19,999 10,000-99,999 1-2
## 3125 10,000-14,999 1000-9,999 1-2
## 3126 100,000-124,999 100-999 3-5
## 3127 50,000-59,999 1000-9,999 3-5
## 3128 60,000-69,999 100-999 3-5
## 3129 0-999 0 < 1
## 3130 20,000-24,999 100-999 5-10
## 3131 5,000-7,499 > 100,000 1-2
## 3132 10,000-14,999 1-99 < 1
## 3133 60,000-69,999 100-999 10-20
## 3134 150,000-199,999 10,000-99,999 10-20
## 3135 <NA> <NA> 20+
## 3136 150,000-199,999 > 100,000 10-20
## 3137 7,500-9,999 0 5-10
## 3138 2,000-2,999 0 < 1
## 3139 20,000-24,999 0 1-2
## 3140 <NA> <NA> < 1
## 3141 <NA> <NA> None
## 3142 80,000-89,999 0 1-2
## 3143 0-999 10,000-99,999 10-20
## 3144 15,000-19,999 100-999 5-10
## 3145 10,000-14,999 0 < 1
## 3146 25,000-29,999 1000-9,999 10-20
## 3147 20,000-24,999 1000-9,999 < 1
## 3148 5,000-7,499 1-99 None
## 3149 100,000-124,999 0 5-10
## 3150 3,000-3,999 1000-9,999 1-2
## 3151 5,000-7,499 0 1-2
## 3152 20,000-24,999 100-999 10-20
## 3153 2,000-2,999 1-99 3-5
## 3154 <NA> <NA> 1-2
## 3155 80,000-89,999 > 100,000 5-10
## 3156 30,000-39,999 1-99 3-5
## 3157 0-999 1-99 < 1
## 3158 25,000-29,999 0 3-5
## 3159 <NA> <NA> < 1
## 3160 125,000-149,999 100-999 20+
## 3161 <NA> <NA> None
## 3162 2,000-2,999 1000-9,999 < 1
## 3163 <NA> <NA> None
## 3164 60,000-69,999 0 3-5
## 3165 0-999 1-99 < 1
## 3166 70,000-79,999 10,000-99,999 5-10
## 3167 1,000-1,999 1-99 < 1
## 3168 0-999 1-99 1-2
## 3169 5,000-7,499 0 1-2
## 3170 70,000-79,999 > 100,000 5-10
## 3171 40,000-49,999 1-99 1-2
## 3172 <NA> <NA> 1-2
## 3173 <NA> <NA> < 1
## 3174 5,000-7,499 0 < 1
## 3175 0-999 0 None
## 3176 <NA> <NA> 1-2
## 3177 50,000-59,999 1000-9,999 5-10
## 3178 50,000-59,999 100-999 3-5
## 3179 100,000-124,999 1000-9,999 1-2
## 3180 70,000-79,999 > 100,000 10-20
## 3181 5,000-7,499 1000-9,999 None
## 3182 125,000-149,999 100-999 3-5
## 3183 <NA> <NA> < 1
## 3184 10,000-14,999 0 5-10
## 3185 40,000-49,999 0 1-2
## 3186 0-999 100-999 1-2
## 3187 70,000-79,999 > 100,000 3-5
## 3188 0-999 1-99 < 1
## 3189 90,000-99,999 > 100,000 1-2
## 3190 20,000-24,999 1-99 < 1
## 3191 7,500-9,999 10,000-99,999 5-10
## 3192 5,000-7,499 1000-9,999 10-20
## 3193 60,000-69,999 100-999 20+
## 3194 20,000-24,999 10,000-99,999 10-20
## 3195 90,000-99,999 0 10-20
## 3196 <NA> <NA> 3-5
## 3197 80,000-89,999 1000-9,999 3-5
## 3198 60,000-69,999 > 100,000 1-2
## 3199 <NA> <NA> 5-10
## 3200 50,000-59,999 0 5-10
## 3201 150,000-199,999 > 100,000 5-10
## 3202 0-999 0 < 1
## 3203 0-999 1-99 3-5
## 3204 25,000-29,999 100-999 3-5
## 3205 40,000-49,999 > 100,000 5-10
## 3206 0-999 0 None
## 3207 <NA> <NA> < 1
## 3208 <NA> <NA> 1-2
## 3209 <NA> <NA> < 1
## 3210 5,000-7,499 100-999 1-2
## 3211 150,000-199,999 0 1-2
## 3212 <NA> <NA> < 1
## 3213 <NA> <NA> 5-10
## 3214 3,000-3,999 100-999 1-2
## 3215 15,000-19,999 100-999 20+
## 3216 80,000-89,999 0 10-20
## 3217 5,000-7,499 1-99 1-2
## 3218 20,000-24,999 1000-9,999 3-5
## 3219 125,000-149,999 0 3-5
## 3220 20,000-24,999 10,000-99,999 10-20
## 3221 5,000-7,499 1-99 < 1
## 3222 0-999 0 < 1
## 3223 100,000-124,999 100-999 20+
## 3224 3,000-3,999 100-999 1-2
## 3225 60,000-69,999 1000-9,999 3-5
## 3226 0-999 0 1-2
## 3227 0-999 0 1-2
## 3228 <NA> <NA> 3-5
## 3229 <NA> <NA> < 1
## 3230 <NA> <NA> < 1
## 3231 <NA> <NA> 1-2
## 3232 <NA> <NA> < 1
## 3233 <NA> <NA> < 1
## 3234 <NA> <NA> 3-5
## 3235 0-999 1-99 None
## 3236 <NA> <NA> < 1
## 3237 3,000-3,999 0 < 1
## 3238 100,000-124,999 1000-9,999 10-20
## 3239 <NA> <NA> < 1
## 3240 0-999 1000-9,999 < 1
## 3241 <NA> <NA> < 1
## 3242 <NA> <NA> 1-2
## 3243 5,000-7,499 0 1-2
## 3244 200,000-249,999 > 100,000 10-20
## 3245 70,000-79,999 > 100,000 3-5
## 3246 10,000-14,999 0 < 1
## 3247 4,000-4,999 100-999 1-2
## 3248 10,000-14,999 > 100,000 1-2
## 3249 200,000-249,999 10,000-99,999 5-10
## 3250 10,000-14,999 100-999 1-2
## 3251 30,000-39,999 0 5-10
## 3252 0-999 0 < 1
## 3253 <NA> <NA> < 1
## 3254 7,500-9,999 1-99 3-5
## 3255 50,000-59,999 100-999 < 1
## 3256 25,000-29,999 1000-9,999 5-10
## 3257 30,000-39,999 0 1-2
## 3258 10,000-14,999 1000-9,999 1-2
## 3259 <NA> <NA> < 1
## 3260 0-999 100-999 < 1
## 3261 25,000-29,999 100-999 1-2
## 3262 5,000-7,499 10,000-99,999 1-2
## 3263 150,000-199,999 1000-9,999 5-10
## 3264 <NA> <NA> 1-2
## 3265 <NA> <NA> < 1
## 3266 1,000-1,999 1000-9,999 < 1
## 3267 7,500-9,999 0 < 1
## 3268 30,000-39,999 100-999 1-2
## 3269 60,000-69,999 10,000-99,999 5-10
## 3270 25,000-29,999 0 < 1
## 3271 1,000-1,999 0 10-20
## 3272 <NA> <NA> < 1
## 3273 40,000-49,999 1-99 3-5
## 3274 2,000-2,999 0 None
## 3275 100,000-124,999 10,000-99,999 10-20
## 3276 30,000-39,999 0 5-10
## 3277 80,000-89,999 0 10-20
## 3278 4,000-4,999 1-99 None
## 3279 5,000-7,499 1-99 < 1
## 3280 2,000-2,999 100-999 1-2
## 3281 <NA> <NA> < 1
## 3282 4,000-4,999 0 None
## 3283 <NA> <NA> 1-2
## 3284 90,000-99,999 1000-9,999 3-5
## 3285 <NA> <NA> < 1
## 3286 0-999 1000-9,999 3-5
## 3287 60,000-69,999 > 100,000 5-10
## 3288 > 500,000 0 5-10
## 3289 5,000-7,499 0 1-2
## 3290 <NA> <NA> 20+
## 3291 <NA> <NA> 1-2
## 3292 3,000-3,999 0 None
## 3293 0-999 1-99 None
## 3294 20,000-24,999 100-999 1-2
## 3295 30,000-39,999 100-999 < 1
## 3296 30,000-39,999 > 100,000 3-5
## 3297 <NA> <NA> < 1
## 3298 10,000-14,999 100-999 1-2
## 3299 7,500-9,999 1-99 1-2
## 3300 40,000-49,999 0 10-20
## 3301 25,000-29,999 100-999 < 1
## 3302 150,000-199,999 10,000-99,999 3-5
## 3303 150,000-199,999 10,000-99,999 20+
## 3304 40,000-49,999 1000-9,999 5-10
## 3305 <NA> <NA> 1-2
## 3306 <NA> <NA> < 1
## 3307 30,000-39,999 0 None
## 3308 60,000-69,999 > 100,000 10-20
## 3309 15,000-19,999 100-999 1-2
## 3310 7,500-9,999 1000-9,999 1-2
## 3311 20,000-24,999 100-999 1-2
## 3312 40,000-49,999 0 5-10
## 3313 70,000-79,999 100-999 5-10
## 3314 25,000-29,999 100-999 5-10
## 3315 0-999 100-999 < 1
## 3316 150,000-199,999 10,000-99,999 10-20
## 3317 <NA> <NA> < 1
## 3318 0-999 1-99 1-2
## 3319 30,000-39,999 1-99 20+
## 3320 30,000-39,999 1-99 1-2
## 3321 7,500-9,999 0 None
## 3322 <NA> <NA> < 1
## 3323 60,000-69,999 0 20+
## 3324 <NA> <NA> < 1
## 3325 <NA> <NA> None
## 3326 15,000-19,999 0 1-2
## 3327 1,000-1,999 100-999 1-2
## 3328 40,000-49,999 1000-9,999 5-10
## 3329 1,000-1,999 100-999 1-2
## 3330 60,000-69,999 > 100,000 10-20
## 3331 <NA> <NA> 1-2
## 3332 <NA> <NA> 1-2
## 3333 1,000-1,999 100-999 1-2
## 3334 <NA> <NA> None
## 3335 <NA> <NA> None
## 3336 40,000-49,999 1000-9,999 3-5
## 3337 <NA> <NA> 1-2
## 3338 1,000-1,999 100-999 3-5
## 3339 7,500-9,999 10,000-99,999 3-5
## 3340 125,000-149,999 > 100,000 10-20
## 3341 5,000-7,499 0 < 1
## 3342 <NA> <NA> 3-5
## 3343 0-999 0 1-2
## 3344 5,000-7,499 0 3-5
## 3345 <NA> <NA> None
## 3346 40,000-49,999 0 3-5
## 3347 <NA> <NA> < 1
## 3348 0-999 0 < 1
## 3349 30,000-39,999 0 20+
## 3350 <NA> <NA> 3-5
## 3351 10,000-14,999 1000-9,999 5-10
## 3352 <NA> <NA> None
## 3353 125,000-149,999 > 100,000 5-10
## 3354 0-999 1-99 < 1
## 3355 25,000-29,999 1000-9,999 < 1
## 3356 80,000-89,999 1000-9,999 20+
## 3357 7,500-9,999 100-999 1-2
## 3358 5,000-7,499 0 1-2
## 3359 0-999 0 < 1
## 3360 30,000-39,999 1000-9,999 3-5
## 3361 60,000-69,999 0 3-5
## 3362 <NA> <NA> 1-2
## 3363 50,000-59,999 100-999 1-2
## 3364 125,000-149,999 > 100,000 1-2
## 3365 <NA> <NA> < 1
## 3366 80,000-89,999 10,000-99,999 10-20
## 3367 40,000-49,999 1-99 1-2
## 3368 0-999 0 < 1
## 3369 <NA> <NA> 1-2
## 3370 70,000-79,999 10,000-99,999 5-10
## 3371 30,000-39,999 0 5-10
## 3372 20,000-24,999 > 100,000 1-2
## 3373 25,000-29,999 1-99 3-5
## 3374 20,000-24,999 0 1-2
## 3375 25,000-29,999 0 1-2
## 3376 70,000-79,999 100-999 5-10
## 3377 10,000-14,999 1000-9,999 1-2
## 3378 3,000-3,999 0 1-2
## 3379 60,000-69,999 0 1-2
## 3380 <NA> <NA> < 1
## 3381 100,000-124,999 > 100,000 20+
## 3382 125,000-149,999 10,000-99,999 5-10
## 3383 60,000-69,999 0 < 1
## 3384 <NA> <NA> 1-2
## 3385 30,000-39,999 0 < 1
## 3386 0-999 0 < 1
## 3387 15,000-19,999 1000-9,999 1-2
## 3388 90,000-99,999 1000-9,999 10-20
## 3389 0-999 1000-9,999 < 1
## 3390 <NA> <NA> < 1
## 3391 <NA> <NA> None
## 3392 50,000-59,999 1000-9,999 10-20
## 3393 > 500,000 > 100,000 None
## 3394 50,000-59,999 10,000-99,999 20+
## 3395 <NA> <NA> < 1
## 3396 2,000-2,999 100-999 1-2
## 3397 5,000-7,499 0 < 1
## 3398 <NA> <NA> < 1
## 3399 4,000-4,999 0 3-5
## 3400 2,000-2,999 1-99 1-2
## 3401 <NA> <NA> 1-2
## 3402 25,000-29,999 100-999 3-5
## 3403 20,000-24,999 0 1-2
## 3404 60,000-69,999 1000-9,999 5-10
## 3405 0-999 0 < 1
## 3406 50,000-59,999 0 < 1
## 3407 0-999 1000-9,999 5-10
## 3408 10,000-14,999 1000-9,999 1-2
## 3409 15,000-19,999 0 1-2
## 3410 5,000-7,499 1000-9,999 3-5
## 3411 200,000-249,999 > 100,000 1-2
## 3412 70,000-79,999 10,000-99,999 3-5
## 3413 <NA> <NA> 1-2
## 3414 <NA> <NA> < 1
## 3415 <NA> <NA> 5-10
## 3416 40,000-49,999 1000-9,999 5-10
## 3417 0-999 0 < 1
## 3418 90,000-99,999 100-999 10-20
## 3419 10,000-14,999 0 5-10
## 3420 <NA> <NA> 1-2
## 3421 25,000-29,999 0 1-2
## 3422 30,000-39,999 1000-9,999 3-5
## 3423 <NA> <NA> 1-2
## 3424 50,000-59,999 0 3-5
## 3425 30,000-39,999 0 < 1
## 3426 25,000-29,999 0 1-2
## 3427 90,000-99,999 10,000-99,999 20+
## 3428 30,000-39,999 0 < 1
## 3429 2,000-2,999 1-99 1-2
## 3430 20,000-24,999 0 3-5
## 3431 20,000-24,999 1000-9,999 < 1
## 3432 40,000-49,999 10,000-99,999 1-2
## 3433 50,000-59,999 0 1-2
## 3434 <NA> <NA> < 1
## 3435 50,000-59,999 0 5-10
## 3436 <NA> <NA> 1-2
## 3437 0-999 1-99 20+
## 3438 1,000-1,999 1-99 1-2
## 3439 70,000-79,999 0 1-2
## 3440 10,000-14,999 0 None
## 3441 25,000-29,999 10,000-99,999 3-5
## 3442 50,000-59,999 0 20+
## 3443 3,000-3,999 > 100,000 3-5
## 3444 <NA> <NA> 1-2
## 3445 4,000-4,999 100-999 < 1
## 3446 10,000-14,999 100-999 1-2
## 3447 10,000-14,999 0 < 1
## 3448 100,000-124,999 100-999 5-10
## 3449 <NA> <NA> < 1
## 3450 <NA> <NA> 1-2
## 3451 0-999 0 1-2
## 3452 0-999 100-999 < 1
## 3453 <NA> <NA> 3-5
## 3454 25,000-29,999 0 10-20
## 3455 <NA> <NA> < 1
## 3456 15,000-19,999 0 10-20
## 3457 15,000-19,999 > 100,000 5-10
## 3458 150,000-199,999 > 100,000 3-5
## 3459 40,000-49,999 1000-9,999 3-5
## 3460 30,000-39,999 0 3-5
## 3461 80,000-89,999 1000-9,999 5-10
## 3462 <NA> <NA> < 1
## 3463 30,000-39,999 1000-9,999 3-5
## 3464 150,000-199,999 1000-9,999 3-5
## 3465 100,000-124,999 1000-9,999 5-10
## 3466 250,000-299,999 100-999 5-10
## 3467 4,000-4,999 0 < 1
## 3468 90,000-99,999 10,000-99,999 3-5
## 3469 10,000-14,999 100-999 < 1
## 3470 <NA> <NA> None
## 3471 1,000-1,999 > 100,000 3-5
## 3472 <NA> <NA> 1-2
## 3473 7,500-9,999 10,000-99,999 10-20
## 3474 60,000-69,999 0 < 1
## 3475 40,000-49,999 10,000-99,999 5-10
## 3476 1,000-1,999 1-99 < 1
## 3477 2,000-2,999 0 1-2
## 3478 <NA> <NA> < 1
## 3479 60,000-69,999 1-99 3-5
## 3480 1,000-1,999 1000-9,999 20+
## 3481 40,000-49,999 10,000-99,999 1-2
## 3482 <NA> <NA> < 1
## 3483 <NA> <NA> None
## 3484 40,000-49,999 0 None
## 3485 <NA> <NA> 20+
## 3486 30,000-39,999 100-999 5-10
## 3487 50,000-59,999 1000-9,999 10-20
## 3488 0-999 0 < 1
## 3489 50,000-59,999 0 3-5
## 3490 30,000-39,999 1000-9,999 5-10
## 3491 100,000-124,999 10,000-99,999 5-10
## 3492 40,000-49,999 100-999 3-5
## 3493 3,000-3,999 0 1-2
## 3494 20,000-24,999 0 < 1
## 3495 25,000-29,999 0 1-2
## 3496 <NA> <NA> < 1
## 3497 25,000-29,999 100-999 5-10
## 3498 <NA> <NA> < 1
## 3499 50,000-59,999 100-999 5-10
## 3500 250,000-299,999 100-999 10-20
## 3501 40,000-49,999 0 1-2
## 3502 3,000-3,999 100-999 1-2
## 3503 <NA> <NA> < 1
## 3504 <NA> <NA> < 1
## 3505 20,000-24,999 1-99 3-5
## 3506 15,000-19,999 100-999 1-2
## 3507 0-999 100-999 1-2
## 3508 <NA> <NA> 1-2
## 3509 3,000-3,999 1-99 3-5
## 3510 60,000-69,999 1-99 < 1
## 3511 30,000-39,999 1-99 3-5
## 3512 70,000-79,999 10,000-99,999 1-2
## 3513 15,000-19,999 0 1-2
## 3514 40,000-49,999 0 10-20
## 3515 15,000-19,999 1-99 5-10
## 3516 50,000-59,999 1000-9,999 10-20
## 3517 0-999 100-999 1-2
## 3518 4,000-4,999 0 3-5
## 3519 30,000-39,999 10,000-99,999 5-10
## 3520 <NA> <NA> < 1
## 3521 300,000-500,000 > 100,000 20+
## 3522 15,000-19,999 0 < 1
## 3523 2,000-2,999 1-99 3-5
## 3524 10,000-14,999 0 3-5
## 3525 15,000-19,999 1000-9,999 3-5
## 3526 25,000-29,999 0 < 1
## 3527 90,000-99,999 0 < 1
## 3528 20,000-24,999 0 < 1
## 3529 50,000-59,999 1-99 1-2
## 3530 40,000-49,999 0 3-5
## 3531 40,000-49,999 > 100,000 10-20
## 3532 <NA> <NA> < 1
## 3533 15,000-19,999 10,000-99,999 20+
## 3534 15,000-19,999 10,000-99,999 1-2
## 3535 70,000-79,999 1000-9,999 10-20
## 3536 50,000-59,999 1000-9,999 5-10
## 3537 1,000-1,999 1-99 < 1
## 3538 50,000-59,999 1000-9,999 20+
## 3539 <NA> <NA> 1-2
## 3540 50,000-59,999 0 < 1
## 3541 80,000-89,999 0 10-20
## 3542 15,000-19,999 1-99 1-2
## 3543 60,000-69,999 10,000-99,999 5-10
## 3544 40,000-49,999 1000-9,999 5-10
## 3545 15,000-19,999 100-999 None
## 3546 80,000-89,999 100-999 5-10
## 3547 20,000-24,999 1-99 3-5
## 3548 60,000-69,999 1000-9,999 3-5
## 3549 <NA> <NA> < 1
## 3550 60,000-69,999 1000-9,999 20+
## 3551 0-999 100-999 None
## 3552 3,000-3,999 100-999 < 1
## 3553 40,000-49,999 1000-9,999 3-5
## 3554 1,000-1,999 1-99 3-5
## 3555 40,000-49,999 100-999 3-5
## 3556 1,000-1,999 0 1-2
## 3557 <NA> <NA> < 1
## 3558 15,000-19,999 1000-9,999 1-2
## 3559 50,000-59,999 0 10-20
## 3560 <NA> <NA> 3-5
## 3561 <NA> <NA> 1-2
## 3562 10,000-14,999 1-99 3-5
## 3563 5,000-7,499 0 3-5
## 3564 15,000-19,999 100-999 10-20
## 3565 7,500-9,999 1000-9,999 1-2
## 3566 25,000-29,999 0 1-2
## 3567 50,000-59,999 10,000-99,999 10-20
## 3568 50,000-59,999 1000-9,999 1-2
## 3569 <NA> <NA> 3-5
## 3570 <NA> <NA> 1-2
## 3571 40,000-49,999 100-999 5-10
## 3572 0-999 0 < 1
## 3573 150,000-199,999 0 10-20
## 3574 200,000-249,999 10,000-99,999 5-10
## 3575 <NA> <NA> 3-5
## 3576 125,000-149,999 > 100,000 3-5
## 3577 15,000-19,999 100-999 1-2
## 3578 80,000-89,999 1000-9,999 3-5
## 3579 <NA> <NA> 1-2
## 3580 <NA> <NA> 1-2
## 3581 2,000-2,999 100-999 < 1
## 3582 40,000-49,999 > 100,000 1-2
## 3583 1,000-1,999 0 < 1
## 3584 20,000-24,999 100-999 None
## 3585 125,000-149,999 1000-9,999 1-2
## 3586 <NA> <NA> 1-2
## 3587 100,000-124,999 1000-9,999 5-10
## 3588 100,000-124,999 1000-9,999 10-20
## 3589 <NA> <NA> 1-2
## 3590 1,000-1,999 100-999 < 1
## 3591 25,000-29,999 100-999 3-5
## 3592 <NA> <NA> < 1
## 3593 <NA> <NA> < 1
## 3594 15,000-19,999 10,000-99,999 3-5
## 3595 3,000-3,999 0 1-2
## 3596 1,000-1,999 0 < 1
## 3597 <NA> <NA> < 1
## 3598 15,000-19,999 0 3-5
## 3599 100,000-124,999 > 100,000 20+
## 3600 2,000-2,999 0 1-2
## 3601 <NA> <NA> 3-5
## 3602 100,000-124,999 10,000-99,999 1-2
## 3603 30,000-39,999 100-999 3-5
## 3604 40,000-49,999 1-99 1-2
## 3605 60,000-69,999 1000-9,999 10-20
## 3606 10,000-14,999 100-999 3-5
## 3607 70,000-79,999 1-99 < 1
## 3608 1,000-1,999 1-99 < 1
## 3609 <NA> <NA> < 1
## 3610 40,000-49,999 0 1-2
## 3611 60,000-69,999 1-99 5-10
## 3612 <NA> <NA> 1-2
## 3613 40,000-49,999 1000-9,999 10-20
## 3614 25,000-29,999 > 100,000 5-10
## 3615 30,000-39,999 1000-9,999 3-5
## 3616 10,000-14,999 1000-9,999 5-10
## 3617 2,000-2,999 100-999 10-20
## 3618 15,000-19,999 1000-9,999 1-2
## 3619 <NA> <NA> 1-2
## 3620 <NA> <NA> 1-2
## 3621 0-999 1-99 3-5
## 3622 50,000-59,999 0 10-20
## 3623 <NA> <NA> < 1
## 3624 50,000-59,999 1000-9,999 1-2
## 3625 10,000-14,999 100-999 5-10
## 3626 30,000-39,999 1000-9,999 5-10
## 3627 60,000-69,999 0 10-20
## 3628 <NA> <NA> None
## 3629 <NA> <NA> < 1
## 3630 <NA> <NA> 1-2
## 3631 7,500-9,999 0 3-5
## 3632 125,000-149,999 100-999 5-10
## 3633 70,000-79,999 1000-9,999 20+
## 3634 0-999 1-99 < 1
## 3635 <NA> <NA> 1-2
## 3636 15,000-19,999 > 100,000 < 1
## 3637 <NA> <NA> 3-5
## 3638 100,000-124,999 100-999 5-10
## 3639 40,000-49,999 1000-9,999 3-5
## 3640 125,000-149,999 > 100,000 20+
## 3641 125,000-149,999 > 100,000 5-10
## 3642 90,000-99,999 0 5-10
## 3643 40,000-49,999 10,000-99,999 20+
## 3644 <NA> <NA> 1-2
## 3645 50,000-59,999 100-999 1-2
## 3646 0-999 0 3-5
## 3647 30,000-39,999 0 10-20
## 3648 40,000-49,999 10,000-99,999 < 1
## 3649 25,000-29,999 1000-9,999 1-2
## 3650 7,500-9,999 0 5-10
## 3651 25,000-29,999 100-999 3-5
## 3652 <NA> <NA> 3-5
## 3653 20,000-24,999 100-999 3-5
## 3654 10,000-14,999 1-99 3-5
## 3655 0-999 0 < 1
## 3656 40,000-49,999 0 10-20
## 3657 2,000-2,999 1000-9,999 1-2
## 3658 15,000-19,999 0 1-2
## 3659 <NA> <NA> 1-2
## 3660 20,000-24,999 1000-9,999 10-20
## 3661 15,000-19,999 0 3-5
## 3662 15,000-19,999 1000-9,999 10-20
## 3663 40,000-49,999 1000-9,999 None
## 3664 60,000-69,999 100-999 5-10
## 3665 <NA> <NA> None
## 3666 4,000-4,999 0 3-5
## 3667 40,000-49,999 100-999 1-2
## 3668 <NA> <NA> < 1
## 3669 <NA> <NA> 5-10
## 3670 50,000-59,999 10,000-99,999 3-5
## 3671 <NA> <NA> 1-2
## 3672 10,000-14,999 0 1-2
## 3673 <NA> <NA> < 1
## 3674 1,000-1,999 1000-9,999 1-2
## 3675 <NA> <NA> < 1
## 3676 <NA> <NA> < 1
## 3677 150,000-199,999 1000-9,999 5-10
## 3678 80,000-89,999 10,000-99,999 10-20
## 3679 30,000-39,999 0 1-2
## 3680 25,000-29,999 0 3-5
## 3681 4,000-4,999 100-999 3-5
## 3682 100,000-124,999 1000-9,999 3-5
## 3683 150,000-199,999 1000-9,999 5-10
## 3684 100,000-124,999 1000-9,999 20+
## 3685 50,000-59,999 > 100,000 1-2
## 3686 60,000-69,999 10,000-99,999 1-2
## 3687 40,000-49,999 0 3-5
## 3688 <NA> <NA> 1-2
## 3689 70,000-79,999 10,000-99,999 5-10
## 3690 90,000-99,999 > 100,000 5-10
## 3691 5,000-7,499 100-999 10-20
## 3692 250,000-299,999 10,000-99,999 10-20
## 3693 25,000-29,999 1000-9,999 5-10
## 3694 <NA> <NA> < 1
## 3695 <NA> <NA> < 1
## 3696 30,000-39,999 10,000-99,999 10-20
## 3697 125,000-149,999 > 100,000 5-10
## 3698 20,000-24,999 1-99 1-2
## 3699 30,000-39,999 10,000-99,999 5-10
## 3700 30,000-39,999 1000-9,999 20+
## 3701 15,000-19,999 0 1-2
## 3702 70,000-79,999 10,000-99,999 1-2
## 3703 30,000-39,999 100-999 3-5
## 3704 0-999 1-99 1-2
## 3705 30,000-39,999 1000-9,999 5-10
## 3706 125,000-149,999 1-99 5-10
## 3707 7,500-9,999 0 3-5
## 3708 40,000-49,999 0 5-10
## 3709 1,000-1,999 100-999 3-5
## 3710 30,000-39,999 0 5-10
## 3711 20,000-24,999 1-99 3-5
## 3712 50,000-59,999 1000-9,999 10-20
## 3713 <NA> <NA> < 1
## 3714 <NA> <NA> < 1
## 3715 80,000-89,999 1000-9,999 10-20
## 3716 150,000-199,999 > 100,000 10-20
## 3717 30,000-39,999 0 3-5
## 3718 30,000-39,999 100-999 5-10
## 3719 4,000-4,999 1000-9,999 3-5
## 3720 200,000-249,999 > 100,000 3-5
## 3721 90,000-99,999 10,000-99,999 10-20
## 3722 <NA> <NA> 3-5
## 3723 60,000-69,999 1000-9,999 5-10
## 3724 7,500-9,999 0 1-2
## 3725 2,000-2,999 100-999 < 1
## 3726 <NA> <NA> 1-2
## 3727 <NA> <NA> 1-2
## 3728 <NA> <NA> < 1
## 3729 50,000-59,999 1-99 1-2
## 3730 30,000-39,999 100-999 < 1
## 3731 <NA> <NA> < 1
## 3732 10,000-14,999 1-99 1-2
## 3733 2,000-2,999 0 1-2
## 3734 1,000-1,999 100-999 3-5
## 3735 <NA> <NA> < 1
## 3736 7,500-9,999 0 1-2
## 3737 50,000-59,999 1000-9,999 5-10
## 3738 15,000-19,999 100-999 5-10
## 3739 <NA> <NA> 1-2
## 3740 30,000-39,999 1000-9,999 5-10
## 3741 <NA> <NA> 1-2
## 3742 30,000-39,999 10,000-99,999 5-10
## 3743 0-999 100-999 < 1
## 3744 30,000-39,999 1-99 < 1
## 3745 40,000-49,999 1000-9,999 3-5
## 3746 50,000-59,999 1-99 3-5
## 3747 3,000-3,999 0 1-2
## 3748 40,000-49,999 1000-9,999 5-10
## 3749 25,000-29,999 0 5-10
## 3750 60,000-69,999 1000-9,999 10-20
## 3751 10,000-14,999 0 3-5
## 3752 40,000-49,999 0 < 1
## 3753 150,000-199,999 > 100,000 20+
## 3754 90,000-99,999 10,000-99,999 10-20
## 3755 100,000-124,999 1-99 10-20
## 3756 0-999 1-99 None
## 3757 100,000-124,999 10,000-99,999 10-20
## 3758 25,000-29,999 1000-9,999 1-2
## 3759 <NA> <NA> None
## 3760 20,000-24,999 1000-9,999 3-5
## 3761 150,000-199,999 0 20+
## 3762 20,000-24,999 0 1-2
## 3763 80,000-89,999 0 1-2
## 3764 100,000-124,999 1000-9,999 1-2
## 3765 <NA> <NA> None
## 3766 3,000-3,999 100-999 3-5
## 3767 10,000-14,999 0 None
## 3768 10,000-14,999 100-999 1-2
## 3769 <NA> <NA> 1-2
## 3770 25,000-29,999 0 < 1
## 3771 40,000-49,999 0 < 1
## 3772 7,500-9,999 1-99 1-2
## 3773 10,000-14,999 1-99 3-5
## 3774 30,000-39,999 0 5-10
## 3775 3,000-3,999 1000-9,999 1-2
## 3776 50,000-59,999 0 < 1
## 3777 3,000-3,999 100-999 1-2
## 3778 10,000-14,999 0 < 1
## 3779 50,000-59,999 > 100,000 3-5
## 3780 30,000-39,999 0 3-5
## 3781 50,000-59,999 0 5-10
## 3782 25,000-29,999 10,000-99,999 1-2
## 3783 30,000-39,999 0 < 1
## 3784 30,000-39,999 1-99 3-5
## 3785 <NA> <NA> < 1
## 3786 15,000-19,999 1-99 3-5
## 3787 5,000-7,499 1000-9,999 3-5
## 3788 30,000-39,999 > 100,000 < 1
## 3789 0-999 0 1-2
## 3790 40,000-49,999 1000-9,999 5-10
## 3791 40,000-49,999 100-999 10-20
## 3792 25,000-29,999 0 < 1
## 3793 70,000-79,999 1000-9,999 10-20
## 3794 60,000-69,999 100-999 5-10
## 3795 70,000-79,999 100-999 < 1
## 3796 <NA> <NA> 5-10
## 3797 25,000-29,999 1-99 < 1
## 3798 0-999 0 1-2
## 3799 0-999 100-999 < 1
## 3800 3,000-3,999 1-99 < 1
## 3801 60,000-69,999 10,000-99,999 < 1
## 3802 1,000-1,999 100-999 1-2
## 3803 20,000-24,999 1000-9,999 < 1
## 3804 15,000-19,999 100-999 1-2
## 3805 1,000-1,999 1-99 1-2
## 3806 125,000-149,999 1000-9,999 3-5
## 3807 20,000-24,999 0 < 1
## 3808 40,000-49,999 1-99 3-5
## 3809 1,000-1,999 1-99 3-5
## 3810 0-999 1-99 < 1
## 3811 80,000-89,999 10,000-99,999 3-5
## 3812 <NA> <NA> 1-2
## 3813 3,000-3,999 1000-9,999 5-10
## 3814 40,000-49,999 100-999 3-5
## 3815 7,500-9,999 1-99 < 1
## 3816 30,000-39,999 10,000-99,999 5-10
## 3817 100,000-124,999 1000-9,999 3-5
## 3818 <NA> <NA> < 1
## 3819 125,000-149,999 100-999 5-10
## 3820 <NA> <NA> < 1
## 3821 70,000-79,999 0 3-5
## 3822 100,000-124,999 0 < 1
## 3823 0-999 0 10-20
## 3824 100,000-124,999 1-99 5-10
## 3825 20,000-24,999 1000-9,999 1-2
## 3826 15,000-19,999 1000-9,999 1-2
## 3827 150,000-199,999 1-99 20+
## 3828 30,000-39,999 100-999 3-5
## 3829 0-999 0 < 1
## 3830 <NA> <NA> 1-2
## 3831 40,000-49,999 1000-9,999 1-2
## 3832 1,000-1,999 0 < 1
## 3833 50,000-59,999 1-99 < 1
## 3834 <NA> <NA> < 1
## 3835 60,000-69,999 10,000-99,999 1-2
## 3836 <NA> <NA> < 1
## 3837 5,000-7,499 0 1-2
## 3838 50,000-59,999 0 10-20
## 3839 25,000-29,999 0 3-5
## 3840 70,000-79,999 0 < 1
## 3841 2,000-2,999 0 5-10
## 3842 30,000-39,999 1000-9,999 3-5
## 3843 <NA> <NA> < 1
## 3844 90,000-99,999 1000-9,999 5-10
## 3845 4,000-4,999 1000-9,999 1-2
## 3846 <NA> <NA> < 1
## 3847 40,000-49,999 0 3-5
## 3848 40,000-49,999 0 1-2
## 3849 1,000-1,999 1-99 1-2
## 3850 <NA> <NA> < 1
## 3851 30,000-39,999 1-99 1-2
## 3852 50,000-59,999 10,000-99,999 5-10
## 3853 0-999 1-99 < 1
## 3854 20,000-24,999 1000-9,999 5-10
## 3855 <NA> <NA> 1-2
## 3856 10,000-14,999 10,000-99,999 3-5
## 3857 70,000-79,999 100-999 5-10
## 3858 2,000-2,999 100-999 1-2
## 3859 10,000-14,999 0 1-2
## 3860 60,000-69,999 10,000-99,999 3-5
## 3861 5,000-7,499 1000-9,999 None
## 3862 15,000-19,999 1000-9,999 1-2
## 3863 <NA> <NA> < 1
## 3864 0-999 100-999 3-5
## 3865 80,000-89,999 100-999 1-2
## 3866 80,000-89,999 1000-9,999 3-5
## 3867 60,000-69,999 0 3-5
## 3868 7,500-9,999 100-999 1-2
## 3869 <NA> <NA> 1-2
## 3870 70,000-79,999 1000-9,999 3-5
## 3871 <NA> <NA> < 1
## 3872 <NA> <NA> < 1
## 3873 30,000-39,999 100-999 1-2
## 3874 40,000-49,999 1000-9,999 5-10
## 3875 5,000-7,499 0 5-10
## 3876 80,000-89,999 > 100,000 3-5
## 3877 <NA> <NA> 1-2
## 3878 30,000-39,999 10,000-99,999 3-5
## 3879 <NA> <NA> < 1
## 3880 <NA> <NA> 1-2
## 3881 7,500-9,999 1-99 1-2
## 3882 70,000-79,999 > 100,000 10-20
## 3883 <NA> <NA> 1-2
## 3884 50,000-59,999 1000-9,999 3-5
## 3885 25,000-29,999 1000-9,999 3-5
## 3886 15,000-19,999 0 5-10
## 3887 <NA> <NA> < 1
## 3888 25,000-29,999 0 < 1
## 3889 50,000-59,999 1000-9,999 3-5
## 3890 <NA> <NA> < 1
## 3891 100,000-124,999 10,000-99,999 20+
## 3892 60,000-69,999 10,000-99,999 3-5
## 3893 5,000-7,499 100-999 None
## 3894 60,000-69,999 0 5-10
## 3895 <NA> <NA> 5-10
## 3896 7,500-9,999 0 None
## 3897 50,000-59,999 0 5-10
## 3898 <NA> <NA> < 1
## 3899 50,000-59,999 10,000-99,999 3-5
## 3900 25,000-29,999 1000-9,999 10-20
## 3901 3,000-3,999 1000-9,999 5-10
## 3902 <NA> <NA> 1-2
## 3903 <NA> <NA> 1-2
## 3904 50,000-59,999 1000-9,999 3-5
## 3905 20,000-24,999 100-999 1-2
## 3906 <NA> <NA> 3-5
## 3907 30,000-39,999 10,000-99,999 3-5
## 3908 40,000-49,999 > 100,000 10-20
## 3909 30,000-39,999 0 5-10
## 3910 0-999 1-99 None
## 3911 0-999 100-999 1-2
## 3912 7,500-9,999 100-999 1-2
## 3913 25,000-29,999 0 3-5
## 3914 5,000-7,499 100-999 1-2
## 3915 30,000-39,999 > 100,000 1-2
## 3916 125,000-149,999 10,000-99,999 5-10
## 3917 60,000-69,999 0 5-10
## 3918 > 500,000 0 None
## 3919 100,000-124,999 10,000-99,999 10-20
## 3920 1,000-1,999 100-999 1-2
## 3921 40,000-49,999 10,000-99,999 20+
## 3922 3,000-3,999 0 5-10
## 3923 4,000-4,999 0 < 1
## 3924 70,000-79,999 0 None
## 3925 25,000-29,999 1000-9,999 3-5
## 3926 0-999 0 None
## 3927 0-999 0 < 1
## 3928 30,000-39,999 0 1-2
## 3929 50,000-59,999 0 1-2
## 3930 50,000-59,999 0 1-2
## 3931 15,000-19,999 10,000-99,999 3-5
## 3932 60,000-69,999 100-999 3-5
## 3933 10,000-14,999 10,000-99,999 3-5
## 3934 2,000-2,999 100-999 1-2
## 3935 0-999 1-99 3-5
## 3936 3,000-3,999 0 1-2
## 3937 <NA> <NA> < 1
## 3938 10,000-14,999 > 100,000 1-2
## 3939 80,000-89,999 0 1-2
## 3940 5,000-7,499 100-999 < 1
## 3941 70,000-79,999 10,000-99,999 20+
## 3942 7,500-9,999 0 3-5
## 3943 <NA> <NA> < 1
## 3944 40,000-49,999 100-999 3-5
## 3945 40,000-49,999 1000-9,999 3-5
## 3946 4,000-4,999 0 < 1
## 3947 4,000-4,999 0 3-5
## 3948 40,000-49,999 10,000-99,999 3-5
## 3949 15,000-19,999 0 3-5
## 3950 <NA> <NA> < 1
## 3951 <NA> <NA> < 1
## 3952 15,000-19,999 100-999 1-2
## 3953 4,000-4,999 0 3-5
## 3954 4,000-4,999 0 5-10
## 3955 <NA> <NA> 3-5
## 3956 0-999 0 3-5
## 3957 40,000-49,999 100-999 1-2
## 3958 <NA> <NA> None
## 3959 40,000-49,999 1-99 1-2
## 3960 80,000-89,999 0 20+
## 3961 0-999 0 1-2
## 3962 90,000-99,999 > 100,000 3-5
## 3963 125,000-149,999 0 5-10
## 3964 <NA> <NA> < 1
## 3965 1,000-1,999 10,000-99,999 1-2
## 3966 30,000-39,999 0 5-10
## 3967 70,000-79,999 100-999 10-20
## 3968 <NA> <NA> 1-2
## 3969 0-999 0 3-5
## 3970 1,000-1,999 100-999 1-2
## 3971 60,000-69,999 1000-9,999 < 1
## 3972 150,000-199,999 100-999 20+
## 3973 30,000-39,999 0 20+
## 3974 25,000-29,999 100-999 1-2
## 3975 60,000-69,999 0 1-2
## 3976 4,000-4,999 1000-9,999 5-10
## 3977 30,000-39,999 1-99 < 1
## 3978 0-999 100-999 5-10
## 3979 1,000-1,999 100-999 1-2
## 3980 50,000-59,999 0 None
## 3981 0-999 100-999 < 1
## 3982 90,000-99,999 0 5-10
## 3983 0-999 0 < 1
## 3984 <NA> <NA> None
## 3985 60,000-69,999 100-999 3-5
## 3986 <NA> <NA> 3-5
## 3987 40,000-49,999 > 100,000 5-10
## 3988 <NA> <NA> < 1
## 3989 3,000-3,999 0 < 1
## 3990 50,000-59,999 1000-9,999 5-10
## 3991 40,000-49,999 > 100,000 5-10
## 3992 80,000-89,999 1000-9,999 < 1
## 3993 30,000-39,999 1000-9,999 3-5
## 3994 60,000-69,999 0 1-2
## 3995 60,000-69,999 10,000-99,999 5-10
## 3996 3,000-3,999 0 1-2
## 3997 <NA> <NA> 1-2
## 3998 10,000-14,999 10,000-99,999 10-20
## 3999 40,000-49,999 0 1-2
## 4000 30,000-39,999 0 5-10
## 4001 1,000-1,999 100-999 3-5
## 4002 5,000-7,499 0 < 1
## 4003 1,000-1,999 100-999 < 1
## 4004 30,000-39,999 1000-9,999 10-20
## 4005 90,000-99,999 1000-9,999 10-20
## 4006 30,000-39,999 10,000-99,999 3-5
## 4007 4,000-4,999 1-99 1-2
## 4008 15,000-19,999 100-999 3-5
## 4009 3,000-3,999 0 1-2
## 4010 <NA> <NA> None
## 4011 <NA> <NA> < 1
## 4012 <NA> <NA> < 1
## 4013 <NA> <NA> 3-5
## 4014 0-999 1-99 1-2
## 4015 70,000-79,999 10,000-99,999 3-5
## 4016 0-999 1-99 3-5
## 4017 200,000-249,999 0 10-20
## 4018 1,000-1,999 0 < 1
## 4019 <NA> <NA> 10-20
## 4020 30,000-39,999 10,000-99,999 5-10
## 4021 50,000-59,999 1000-9,999 20+
## 4022 50,000-59,999 1000-9,999 3-5
## 4023 15,000-19,999 0 < 1
## 4024 25,000-29,999 1-99 1-2
## 4025 30,000-39,999 100-999 3-5
## 4026 70,000-79,999 100-999 3-5
## 4027 90,000-99,999 > 100,000 5-10
## 4028 2,000-2,999 100-999 None
## 4029 30,000-39,999 1000-9,999 3-5
## 4030 30,000-39,999 0 1-2
## 4031 4,000-4,999 100-999 3-5
## 4032 7,500-9,999 10,000-99,999 3-5
## 4033 7,500-9,999 100-999 None
## 4034 15,000-19,999 0 < 1
## 4035 50,000-59,999 100-999 3-5
## 4036 40,000-49,999 0 5-10
## 4037 1,000-1,999 100-999 1-2
## 4038 <NA> <NA> 1-2
## 4039 25,000-29,999 100-999 20+
## 4040 0-999 1-99 1-2
## 4041 30,000-39,999 > 100,000 5-10
## 4042 70,000-79,999 > 100,000 20+
## 4043 60,000-69,999 1000-9,999 5-10
## 4044 <NA> <NA> 1-2
## 4045 <NA> <NA> 20+
## 4046 10,000-14,999 1-99 < 1
## 4047 60,000-69,999 1000-9,999 5-10
## 4048 <NA> <NA> 1-2
## 4049 <NA> <NA> 3-5
## 4050 0-999 1-99 1-2
## 4051 25,000-29,999 10,000-99,999 5-10
## 4052 5,000-7,499 100-999 < 1
## 4053 1,000-1,999 1-99 5-10
## 4054 20,000-24,999 100-999 1-2
## 4055 40,000-49,999 100-999 1-2
## 4056 0-999 0 3-5
## 4057 7,500-9,999 > 100,000 < 1
## 4058 70,000-79,999 0 10-20
## 4059 7,500-9,999 0 < 1
## 4060 40,000-49,999 100-999 3-5
## 4061 125,000-149,999 1000-9,999 10-20
## 4062 5,000-7,499 100-999 1-2
## 4063 10,000-14,999 1000-9,999 1-2
## 4064 30,000-39,999 0 20+
## 4065 <NA> <NA> 1-2
## 4066 0-999 1000-9,999 None
## 4067 40,000-49,999 1000-9,999 3-5
## 4068 0-999 0 1-2
## 4069 25,000-29,999 0 5-10
## 4070 10,000-14,999 1-99 5-10
## 4071 <NA> <NA> None
## 4072 50,000-59,999 > 100,000 5-10
## 4073 2,000-2,999 0 1-2
## 4074 5,000-7,499 100-999 3-5
## 4075 <NA> <NA> < 1
## 4076 0-999 0 1-2
## 4077 7,500-9,999 0 3-5
## 4078 40,000-49,999 0 5-10
## 4079 10,000-14,999 0 3-5
## 4080 60,000-69,999 0 3-5
## 4081 0-999 0 < 1
## 4082 <NA> <NA> < 1
## 4083 <NA> <NA> 5-10
## 4084 10,000-14,999 0 1-2
## 4085 10,000-14,999 1000-9,999 5-10
## 4086 0-999 100-999 < 1
## 4087 30,000-39,999 10,000-99,999 5-10
## 4088 50,000-59,999 1-99 1-2
## 4089 1,000-1,999 1-99 3-5
## 4090 4,000-4,999 1-99 5-10
## 4091 1,000-1,999 10,000-99,999 1-2
## 4092 70,000-79,999 0 3-5
## 4093 <NA> <NA> < 1
## 4094 30,000-39,999 0 3-5
## 4095 <NA> <NA> < 1
## 4096 4,000-4,999 0 < 1
## 4097 <NA> <NA> 3-5
## 4098 40,000-49,999 100-999 3-5
## 4099 30,000-39,999 1-99 1-2
## 4100 50,000-59,999 100-999 1-2
## 4101 40,000-49,999 > 100,000 5-10
## 4102 <NA> <NA> 5-10
## 4103 0-999 0 None
## 4104 25,000-29,999 1000-9,999 3-5
## 4105 <NA> <NA> 1-2
## 4106 <NA> <NA> 1-2
## 4107 0-999 0 3-5
## 4108 0-999 0 < 1
## 4109 <NA> <NA> < 1
## 4110 30,000-39,999 0 5-10
## 4111 25,000-29,999 0 1-2
## 4112 7,500-9,999 100-999 < 1
## 4113 2,000-2,999 100-999 1-2
## 4114 70,000-79,999 1-99 3-5
## 4115 200,000-249,999 10,000-99,999 20+
## 4116 0-999 0 1-2
## 4117 10,000-14,999 10,000-99,999 3-5
## 4118 10,000-14,999 1000-9,999 3-5
## 4119 10,000-14,999 0 1-2
## 4120 2,000-2,999 0 3-5
## 4121 10,000-14,999 1000-9,999 1-2
## 4122 15,000-19,999 1-99 3-5
## 4123 50,000-59,999 100-999 1-2
## 4124 30,000-39,999 0 3-5
## 4125 <NA> <NA> 1-2
## 4126 25,000-29,999 100-999 5-10
## 4127 5,000-7,499 0 < 1
## 4128 0-999 0 1-2
## 4129 30,000-39,999 0 5-10
## 4130 <NA> <NA> < 1
## 4131 <NA> <NA> 3-5
## 4132 <NA> <NA> < 1
## 4133 <NA> <NA> 1-2
## 4134 40,000-49,999 1000-9,999 20+
## 4135 7,500-9,999 0 1-2
## 4136 0-999 0 None
## 4137 <NA> <NA> < 1
## 4138 10,000-14,999 100-999 3-5
## 4139 0-999 1-99 1-2
## 4140 50,000-59,999 0 5-10
## 4141 <NA> <NA> None
## 4142 <NA> <NA> < 1
## 4143 60,000-69,999 10,000-99,999 3-5
## 4144 <NA> <NA> 1-2
## 4145 <NA> <NA> 1-2
## 4146 7,500-9,999 10,000-99,999 < 1
## 4147 10,000-14,999 1-99 3-5
## 4148 15,000-19,999 0 None
## 4149 <NA> <NA> 5-10
## 4150 <NA> <NA> < 1
## 4151 <NA> <NA> 3-5
## 4152 <NA> <NA> < 1
## 4153 0-999 0 < 1
## 4154 <NA> <NA> 3-5
## 4155 2,000-2,999 1000-9,999 1-2
## 4156 80,000-89,999 100-999 20+
## 4157 <NA> <NA> None
## 4158 80,000-89,999 100-999 10-20
## 4159 <NA> <NA> 3-5
## 4160 10,000-14,999 1000-9,999 5-10
## 4161 <NA> <NA> < 1
## 4162 7,500-9,999 0 < 1
## 4163 <NA> <NA> 5-10
## 4164 125,000-149,999 0 3-5
## 4165 7,500-9,999 0 1-2
## 4166 30,000-39,999 0 1-2
## 4167 2,000-2,999 0 1-2
## 4168 30,000-39,999 1000-9,999 3-5
## 4169 <NA> <NA> 1-2
## 4170 10,000-14,999 1-99 1-2
## 4171 20,000-24,999 0 10-20
## 4172 5,000-7,499 0 1-2
## 4173 10,000-14,999 100-999 3-5
## 4174 0-999 0 < 1
## 4175 20,000-24,999 10,000-99,999 10-20
## 4176 25,000-29,999 100-999 3-5
## 4177 50,000-59,999 > 100,000 5-10
## 4178 <NA> <NA> None
## 4179 150,000-199,999 10,000-99,999 < 1
## 4180 0-999 100-999 < 1
## 4181 250,000-299,999 1000-9,999 5-10
## 4182 2,000-2,999 0 1-2
## 4183 30,000-39,999 0 3-5
## 4184 <NA> <NA> < 1
## 4185 4,000-4,999 1000-9,999 None
## 4186 30,000-39,999 100-999 5-10
## 4187 7,500-9,999 100-999 1-2
## 4188 <NA> <NA> 3-5
## 4189 30,000-39,999 0 5-10
## 4190 50,000-59,999 100-999 5-10
## 4191 15,000-19,999 1-99 1-2
## 4192 0-999 0 < 1
## 4193 10,000-14,999 0 1-2
## 4194 30,000-39,999 0 5-10
## 4195 40,000-49,999 100-999 3-5
## 4196 70,000-79,999 0 5-10
## 4197 40,000-49,999 0 < 1
## 4198 0-999 100-999 1-2
## 4199 70,000-79,999 1000-9,999 5-10
## 4200 <NA> <NA> 1-2
## 4201 90,000-99,999 > 100,000 5-10
## 4202 15,000-19,999 0 5-10
## 4203 <NA> <NA> < 1
## 4204 <NA> <NA> < 1
## 4205 60,000-69,999 0 3-5
## 4206 <NA> <NA> None
## 4207 <NA> <NA> 1-2
## 4208 125,000-149,999 1000-9,999 5-10
## 4209 125,000-149,999 100-999 10-20
## 4210 7,500-9,999 10,000-99,999 1-2
## 4211 5,000-7,499 1-99 < 1
## 4212 30,000-39,999 100-999 3-5
## 4213 50,000-59,999 1000-9,999 20+
## 4214 80,000-89,999 1000-9,999 5-10
## 4215 1,000-1,999 0 3-5
## 4216 90,000-99,999 0 1-2
## 4217 <NA> <NA> < 1
## 4218 50,000-59,999 1-99 1-2
## 4219 50,000-59,999 1000-9,999 1-2
## 4220 7,500-9,999 1000-9,999 None
## 4221 15,000-19,999 0 1-2
## 4222 0-999 0 3-5
## 4223 100,000-124,999 100-999 1-2
## 4224 2,000-2,999 100-999 < 1
## 4225 20,000-24,999 0 10-20
## 4226 15,000-19,999 100-999 1-2
## 4227 <NA> <NA> 1-2
## 4228 <NA> <NA> < 1
## 4229 5,000-7,499 0 None
## 4230 3,000-3,999 0 None
## 4231 60,000-69,999 1000-9,999 3-5
## 4232 90,000-99,999 10,000-99,999 3-5
## 4233 40,000-49,999 100-999 3-5
## 4234 <NA> <NA> < 1
## 4235 200,000-249,999 > 100,000 20+
## 4236 15,000-19,999 1000-9,999 1-2
## 4237 1,000-1,999 1-99 None
## 4238 <NA> <NA> 20+
## 4239 <NA> <NA> < 1
## 4240 50,000-59,999 100-999 5-10
## 4241 60,000-69,999 10,000-99,999 < 1
## 4242 <NA> <NA> 1-2
## 4243 150,000-199,999 1000-9,999 10-20
## 4244 4,000-4,999 100-999 3-5
## 4245 60,000-69,999 > 100,000 10-20
## 4246 70,000-79,999 0 1-2
## 4247 3,000-3,999 100-999 1-2
## 4248 0-999 0 None
## 4249 60,000-69,999 1-99 5-10
## 4250 <NA> <NA> None
## 4251 50,000-59,999 100-999 5-10
## 4252 30,000-39,999 100-999 3-5
## 4253 60,000-69,999 > 100,000 3-5
## 4254 1,000-1,999 1-99 1-2
## 4255 <NA> <NA> 1-2
## 4256 0-999 0 1-2
## 4257 10,000-14,999 > 100,000 < 1
## 4258 1,000-1,999 0 < 1
## 4259 5,000-7,499 1000-9,999 None
## 4260 15,000-19,999 100-999 1-2
## 4261 50,000-59,999 1000-9,999 10-20
## 4262 30,000-39,999 0 3-5
## 4263 <NA> <NA> 20+
## 4264 5,000-7,499 > 100,000 < 1
## 4265 100,000-124,999 100-999 1-2
## 4266 40,000-49,999 0 1-2
## 4267 0-999 1-99 3-5
## 4268 7,500-9,999 0 < 1
## 4269 <NA> <NA> < 1
## 4270 30,000-39,999 0 5-10
## 4271 > 500,000 > 100,000 20+
## 4272 0-999 1-99 3-5
## 4273 <NA> <NA> 3-5
## 4274 <NA> <NA> 1-2
## 4275 <NA> <NA> 10-20
## 4276 <NA> <NA> < 1
## 4277 0-999 0 1-2
## 4278 <NA> <NA> < 1
## 4279 <NA> <NA> < 1
## 4280 0-999 0 5-10
## 4281 <NA> <NA> < 1
## 4282 7,500-9,999 1-99 1-2
## 4283 50,000-59,999 10,000-99,999 10-20
## 4284 90,000-99,999 0 None
## 4285 70,000-79,999 1000-9,999 10-20
## 4286 1,000-1,999 1-99 < 1
## 4287 40,000-49,999 0 10-20
## 4288 125,000-149,999 0 1-2
## 4289 20,000-24,999 0 5-10
## 4290 4,000-4,999 0 1-2
## 4291 20,000-24,999 0 < 1
## 4292 1,000-1,999 1-99 1-2
## 4293 90,000-99,999 1000-9,999 3-5
## 4294 4,000-4,999 0 < 1
## 4295 <NA> <NA> < 1
## 4296 <NA> <NA> 1-2
## 4297 10,000-14,999 100-999 < 1
## 4298 40,000-49,999 > 100,000 3-5
## 4299 70,000-79,999 10,000-99,999 10-20
## 4300 25,000-29,999 100-999 5-10
## 4301 30,000-39,999 1000-9,999 10-20
## 4302 <NA> <NA> < 1
## 4303 <NA> <NA> 1-2
## 4304 15,000-19,999 100-999 3-5
## 4305 0-999 100-999 1-2
## 4306 2,000-2,999 100-999 1-2
## 4307 150,000-199,999 0 None
## 4308 25,000-29,999 10,000-99,999 3-5
## 4309 20,000-24,999 1000-9,999 5-10
## 4310 <NA> <NA> < 1
## 4311 <NA> <NA> 20+
## 4312 30,000-39,999 1000-9,999 < 1
## 4313 30,000-39,999 0 5-10
## 4314 3,000-3,999 0 3-5
## 4315 <NA> <NA> 1-2
## 4316 7,500-9,999 1-99 < 1
## 4317 <NA> <NA> < 1
## 4318 125,000-149,999 0 3-5
## 4319 15,000-19,999 10,000-99,999 1-2
## 4320 40,000-49,999 0 5-10
## 4321 10,000-14,999 100-999 None
## 4322 40,000-49,999 0 < 1
## 4323 7,500-9,999 0 < 1
## 4324 125,000-149,999 10,000-99,999 20+
## 4325 70,000-79,999 100-999 5-10
## 4326 20,000-24,999 0 < 1
## 4327 20,000-24,999 0 1-2
## 4328 150,000-199,999 10,000-99,999 5-10
## 4329 1,000-1,999 0 < 1
## 4330 4,000-4,999 0 5-10
## 4331 5,000-7,499 0 1-2
## 4332 40,000-49,999 0 3-5
## 4333 0-999 100-999 1-2
## 4334 <NA> <NA> 3-5
## 4335 3,000-3,999 0 1-2
## 4336 40,000-49,999 0 None
## 4337 40,000-49,999 10,000-99,999 1-2
## 4338 50,000-59,999 0 3-5
## 4339 10,000-14,999 100-999 3-5
## 4340 30,000-39,999 0 10-20
## 4341 40,000-49,999 0 3-5
## 4342 10,000-14,999 1-99 1-2
## 4343 40,000-49,999 0 5-10
## 4344 5,000-7,499 0 < 1
## 4345 <NA> <NA> 1-2
## 4346 100,000-124,999 1000-9,999 20+
## 4347 70,000-79,999 1000-9,999 10-20
## 4348 1,000-1,999 0 3-5
## 4349 100,000-124,999 10,000-99,999 20+
## 4350 80,000-89,999 > 100,000 3-5
## 4351 5,000-7,499 1000-9,999 3-5
## 4352 4,000-4,999 100-999 < 1
## 4353 <NA> <NA> 1-2
## 4354 0-999 0 1-2
## 4355 90,000-99,999 1000-9,999 5-10
## 4356 40,000-49,999 10,000-99,999 3-5
## 4357 0-999 0 1-2
## 4358 0-999 100-999 1-2
## 4359 80,000-89,999 0 3-5
## 4360 60,000-69,999 1-99 3-5
## 4361 100,000-124,999 0 3-5
## 4362 60,000-69,999 0 10-20
## 4363 50,000-59,999 1000-9,999 10-20
## 4364 3,000-3,999 1-99 1-2
## 4365 25,000-29,999 0 < 1
## 4366 <NA> <NA> 1-2
## 4367 15,000-19,999 100-999 1-2
## 4368 <NA> <NA> 1-2
## 4369 20,000-24,999 0 None
## 4370 10,000-14,999 0 1-2
## 4371 1,000-1,999 100-999 None
## 4372 125,000-149,999 > 100,000 10-20
## 4373 125,000-149,999 10,000-99,999 5-10
## 4374 0-999 0 3-5
## 4375 150,000-199,999 > 100,000 10-20
## 4376 10,000-14,999 0 None
## 4377 7,500-9,999 100-999 5-10
## 4378 250,000-299,999 > 100,000 20+
## 4379 10,000-14,999 0 None
## 4380 30,000-39,999 0 3-5
## 4381 0-999 0 5-10
## 4382 5,000-7,499 1000-9,999 < 1
## 4383 100,000-124,999 10,000-99,999 3-5
## 4384 <NA> <NA> 1-2
## 4385 25,000-29,999 > 100,000 3-5
## 4386 3,000-3,999 0 < 1
## 4387 3,000-3,999 0 1-2
## 4388 4,000-4,999 100-999 1-2
## 4389 <NA> <NA> 1-2
## 4390 0-999 10,000-99,999 < 1
## 4391 <NA> <NA> 3-5
## 4392 0-999 0 < 1
## 4393 <NA> <NA> < 1
## 4394 0-999 1-99 < 1
## 4395 25,000-29,999 1-99 1-2
## 4396 <NA> <NA> < 1
## 4397 30,000-39,999 0 1-2
## 4398 <NA> <NA> < 1
## 4399 30,000-39,999 1000-9,999 3-5
## 4400 <NA> <NA> None
## 4401 <NA> <NA> 3-5
## 4402 40,000-49,999 > 100,000 3-5
## 4403 <NA> <NA> None
## 4404 25,000-29,999 100-999 1-2
## 4405 2,000-2,999 100-999 1-2
## 4406 0-999 10,000-99,999 1-2
## 4407 15,000-19,999 10,000-99,999 3-5
## 4408 0-999 1-99 < 1
## 4409 <NA> <NA> 3-5
## 4410 <NA> <NA> < 1
## 4411 15,000-19,999 0 1-2
## 4412 5,000-7,499 1-99 1-2
## 4413 40,000-49,999 1000-9,999 3-5
## 4414 0-999 100-999 < 1
## 4415 <NA> <NA> < 1
## 4416 30,000-39,999 0 1-2
## 4417 7,500-9,999 100-999 1-2
## 4418 5,000-7,499 1-99 1-2
## 4419 10,000-14,999 0 < 1
## 4420 <NA> <NA> < 1
## 4421 100,000-124,999 10,000-99,999 3-5
## 4422 60,000-69,999 0 1-2
## 4423 100,000-124,999 100-999 3-5
## 4424 <NA> <NA> < 1
## 4425 25,000-29,999 100-999 1-2
## 4426 <NA> <NA> 3-5
## 4427 <NA> <NA> <NA>
## 4428 40,000-49,999 100-999 10-20
## 4429 50,000-59,999 0 1-2
## 4430 100,000-124,999 1-99 10-20
## 4431 1,000-1,999 1-99 < 1
## 4432 <NA> <NA> 3-5
## 4433 <NA> <NA> < 1
## 4434 125,000-149,999 0 3-5
## 4435 <NA> <NA> 1-2
## 4436 0-999 0 1-2
## 4437 5,000-7,499 0 1-2
## 4438 1,000-1,999 100-999 < 1
## 4439 10,000-14,999 > 100,000 3-5
## 4440 100,000-124,999 0 3-5
## 4441 1,000-1,999 100-999 5-10
## 4442 <NA> <NA> < 1
## 4443 100,000-124,999 > 100,000 < 1
## 4444 <NA> <NA> < 1
## 4445 80,000-89,999 100-999 5-10
## 4446 100,000-124,999 > 100,000 5-10
## 4447 40,000-49,999 0 1-2
## 4448 0-999 0 < 1
## 4449 <NA> <NA> < 1
## 4450 30,000-39,999 100-999 1-2
## 4451 10,000-14,999 0 3-5
## 4452 100,000-124,999 10,000-99,999 5-10
## 4453 0-999 0 < 1
## 4454 0-999 0 < 1
## 4455 100,000-124,999 > 100,000 10-20
## 4456 100,000-124,999 1000-9,999 5-10
## 4457 20,000-24,999 100-999 3-5
## 4458 40,000-49,999 10,000-99,999 3-5
## 4459 0-999 100-999 < 1
## 4460 25,000-29,999 0 < 1
## 4461 7,500-9,999 100-999 < 1
## 4462 10,000-14,999 0 5-10
## 4463 125,000-149,999 0 1-2
## 4464 7,500-9,999 0 None
## 4465 10,000-14,999 > 100,000 1-2
## 4466 0-999 0 1-2
## 4467 1,000-1,999 100-999 5-10
## 4468 <NA> <NA> 1-2
## 4469 0-999 100-999 3-5
## 4470 250,000-299,999 0 None
## 4471 4,000-4,999 100-999 3-5
## 4472 125,000-149,999 100-999 5-10
## 4473 <NA> <NA> < 1
## 4474 90,000-99,999 1000-9,999 20+
## 4475 <NA> <NA> < 1
## 4476 60,000-69,999 100-999 1-2
## 4477 80,000-89,999 0 3-5
## 4478 80,000-89,999 1000-9,999 3-5
## 4479 10,000-14,999 0 1-2
## 4480 30,000-39,999 > 100,000 3-5
## 4481 20,000-24,999 10,000-99,999 3-5
## 4482 40,000-49,999 0 10-20
## 4483 70,000-79,999 1000-9,999 20+
## 4484 100,000-124,999 100-999 1-2
## 4485 40,000-49,999 100-999 None
## 4486 10,000-14,999 0 1-2
## 4487 <NA> <NA> 1-2
## 4488 25,000-29,999 1000-9,999 5-10
## 4489 10,000-14,999 0 < 1
## 4490 40,000-49,999 10,000-99,999 1-2
## 4491 7,500-9,999 100-999 < 1
## 4492 <NA> <NA> 3-5
## 4493 20,000-24,999 0 None
## 4494 30,000-39,999 1000-9,999 1-2
## 4495 1,000-1,999 100-999 < 1
## 4496 <NA> <NA> < 1
## 4497 100,000-124,999 1000-9,999 1-2
## 4498 <NA> <NA> 1-2
## 4499 0-999 1000-9,999 3-5
## 4500 150,000-199,999 0 3-5
## 4501 20,000-24,999 100-999 3-5
## 4502 40,000-49,999 100-999 3-5
## 4503 20,000-24,999 10,000-99,999 1-2
## 4504 10,000-14,999 1000-9,999 None
## 4505 <NA> <NA> < 1
## 4506 30,000-39,999 100-999 5-10
## 4507 1,000-1,999 0 None
## 4508 100,000-124,999 0 10-20
## 4509 70,000-79,999 100-999 5-10
## 4510 <NA> <NA> 1-2
## 4511 <NA> <NA> 1-2
## 4512 15,000-19,999 > 100,000 3-5
## 4513 30,000-39,999 100-999 < 1
## 4514 <NA> <NA> < 1
## 4515 5,000-7,499 100-999 < 1
## 4516 100,000-124,999 1000-9,999 3-5
## 4517 2,000-2,999 0 3-5
## 4518 100,000-124,999 0 < 1
## 4519 50,000-59,999 1000-9,999 20+
## 4520 30,000-39,999 0 3-5
## 4521 10,000-14,999 100-999 1-2
## 4522 10,000-14,999 1000-9,999 5-10
## 4523 <NA> <NA> 1-2
## 4524 15,000-19,999 0 3-5
## 4525 30,000-39,999 0 1-2
## 4526 90,000-99,999 100-999 3-5
## 4527 200,000-249,999 > 100,000 20+
## 4528 3,000-3,999 1-99 3-5
## 4529 10,000-14,999 1-99 < 1
## 4530 40,000-49,999 100-999 3-5
## 4531 4,000-4,999 1000-9,999 5-10
## 4532 90,000-99,999 0 5-10
## 4533 10,000-14,999 0 3-5
## 4534 2,000-2,999 10,000-99,999 3-5
## 4535 <NA> <NA> 1-2
## 4536 50,000-59,999 0 10-20
## 4537 40,000-49,999 0 3-5
## 4538 90,000-99,999 10,000-99,999 3-5
## 4539 150,000-199,999 > 100,000 20+
## 4540 5,000-7,499 100-999 None
## 4541 1,000-1,999 100-999 1-2
## 4542 40,000-49,999 100-999 3-5
## 4543 7,500-9,999 1000-9,999 1-2
## 4544 <NA> <NA> < 1
## 4545 70,000-79,999 10,000-99,999 10-20
## 4546 80,000-89,999 10,000-99,999 3-5
## 4547 30,000-39,999 0 20+
## 4548 30,000-39,999 1-99 10-20
## 4549 60,000-69,999 100-999 < 1
## 4550 <NA> <NA> 1-2
## 4551 20,000-24,999 1000-9,999 None
## 4552 40,000-49,999 > 100,000 1-2
## 4553 <NA> <NA> < 1
## 4554 15,000-19,999 0 3-5
## 4555 125,000-149,999 1000-9,999 10-20
## 4556 25,000-29,999 10,000-99,999 5-10
## 4557 150,000-199,999 > 100,000 10-20
## 4558 0-999 100-999 < 1
## 4559 100,000-124,999 0 5-10
## 4560 20,000-24,999 0 5-10
## 4561 0-999 1-99 None
## 4562 <NA> <NA> < 1
## 4563 10,000-14,999 0 3-5
## 4564 10,000-14,999 1000-9,999 3-5
## 4565 50,000-59,999 10,000-99,999 3-5
## 4566 70,000-79,999 100-999 20+
## 4567 60,000-69,999 1000-9,999 10-20
## 4568 <NA> <NA> 1-2
## 4569 30,000-39,999 0 3-5
## 4570 15,000-19,999 0 < 1
## 4571 1,000-1,999 0 1-2
## 4572 3,000-3,999 10,000-99,999 3-5
## 4573 40,000-49,999 0 1-2
## 4574 10,000-14,999 0 5-10
## 4575 0-999 100-999 1-2
## 4576 <NA> <NA> < 1
## 4577 60,000-69,999 1000-9,999 5-10
## 4578 <NA> <NA> 1-2
## 4579 25,000-29,999 0 1-2
## 4580 <NA> <NA> 3-5
## 4581 40,000-49,999 0 1-2
## 4582 0-999 0 3-5
## 4583 <NA> <NA> < 1
## 4584 20,000-24,999 1000-9,999 1-2
## 4585 30,000-39,999 1000-9,999 3-5
## 4586 <NA> <NA> < 1
## 4587 <NA> <NA> 5-10
## 4588 30,000-39,999 1000-9,999 None
## 4589 1,000-1,999 100-999 3-5
## 4590 0-999 1-99 < 1
## 4591 300,000-500,000 1000-9,999 10-20
## 4592 <NA> <NA> < 1
## 4593 0-999 0 1-2
## 4594 <NA> <NA> < 1
## 4595 30,000-39,999 1000-9,999 < 1
## 4596 40,000-49,999 10,000-99,999 5-10
## 4597 <NA> <NA> None
## 4598 <NA> <NA> < 1
## 4599 25,000-29,999 1000-9,999 1-2
## 4600 15,000-19,999 100-999 3-5
## 4601 2,000-2,999 100-999 1-2
## 4602 <NA> <NA> < 1
## 4603 70,000-79,999 > 100,000 1-2
## 4604 20,000-24,999 0 5-10
## 4605 2,000-2,999 0 5-10
## 4606 0-999 100-999 < 1
## 4607 4,000-4,999 0 < 1
## 4608 10,000-14,999 100-999 1-2
## 4609 60,000-69,999 100-999 3-5
## 4610 25,000-29,999 1000-9,999 < 1
## 4611 70,000-79,999 0 10-20
## 4612 125,000-149,999 0 3-5
## 4613 30,000-39,999 100-999 20+
## 4614 50,000-59,999 10,000-99,999 5-10
## 4615 0-999 0 10-20
## 4616 150,000-199,999 10,000-99,999 5-10
## 4617 0-999 1-99 3-5
## 4618 0-999 100-999 1-2
## 4619 80,000-89,999 0 1-2
## 4620 125,000-149,999 1000-9,999 3-5
## 4621 50,000-59,999 0 3-5
## 4622 <NA> <NA> < 1
## 4623 150,000-199,999 > 100,000 10-20
## 4624 40,000-49,999 10,000-99,999 3-5
## 4625 80,000-89,999 1000-9,999 10-20
## 4626 70,000-79,999 1000-9,999 1-2
## 4627 3,000-3,999 0 20+
## 4628 1,000-1,999 0 1-2
## 4629 <NA> <NA> < 1
## 4630 <NA> <NA> < 1
## 4631 150,000-199,999 10,000-99,999 5-10
## 4632 100,000-124,999 0 5-10
## 4633 30,000-39,999 1000-9,999 3-5
## 4634 30,000-39,999 1000-9,999 3-5
## 4635 7,500-9,999 1-99 1-2
## 4636 1,000-1,999 1-99 1-2
## 4637 200,000-249,999 > 100,000 None
## 4638 10,000-14,999 0 < 1
## 4639 <NA> <NA> None
## 4640 70,000-79,999 0 < 1
## 4641 100,000-124,999 0 None
## 4642 7,500-9,999 0 1-2
## 4643 <NA> <NA> 1-2
## 4644 80,000-89,999 100-999 1-2
## 4645 25,000-29,999 1-99 5-10
## 4646 100,000-124,999 10,000-99,999 10-20
## 4647 > 500,000 100-999 10-20
## 4648 1,000-1,999 1-99 10-20
## 4649 0-999 100-999 < 1
## 4650 100,000-124,999 1000-9,999 3-5
## 4651 90,000-99,999 > 100,000 5-10
## 4652 100,000-124,999 > 100,000 10-20
## 4653 <NA> <NA> < 1
## 4654 <NA> <NA> 1-2
## 4655 20,000-24,999 1000-9,999 3-5
## 4656 50,000-59,999 10,000-99,999 3-5
## 4657 <NA> <NA> < 1
## 4658 70,000-79,999 100-999 5-10
## 4659 50,000-59,999 > 100,000 5-10
## 4660 0-999 0 < 1
## 4661 60,000-69,999 100-999 10-20
## 4662 <NA> <NA> 3-5
## 4663 25,000-29,999 0 10-20
## 4664 4,000-4,999 1000-9,999 3-5
## 4665 40,000-49,999 1000-9,999 1-2
## 4666 25,000-29,999 0 1-2
## 4667 <NA> <NA> < 1
## 4668 25,000-29,999 1-99 1-2
## 4669 <NA> <NA> 1-2
## 4670 125,000-149,999 10,000-99,999 10-20
## 4671 40,000-49,999 1-99 5-10
## 4672 0-999 0 < 1
## 4673 15,000-19,999 1000-9,999 3-5
## 4674 125,000-149,999 1000-9,999 3-5
## 4675 100,000-124,999 > 100,000 3-5
## 4676 90,000-99,999 1000-9,999 5-10
## 4677 50,000-59,999 1-99 5-10
## 4678 <NA> <NA> 1-2
## 4679 0-999 0 3-5
## 4680 <NA> <NA> < 1
## 4681 <NA> <NA> < 1
## 4682 50,000-59,999 1000-9,999 3-5
## 4683 <NA> <NA> < 1
## 4684 0-999 0 < 1
## 4685 40,000-49,999 1000-9,999 3-5
## 4686 2,000-2,999 1-99 10-20
## 4687 10,000-14,999 0 3-5
## 4688 40,000-49,999 100-999 1-2
## 4689 <NA> <NA> < 1
## 4690 10,000-14,999 100-999 3-5
## 4691 5,000-7,499 10,000-99,999 < 1
## 4692 60,000-69,999 10,000-99,999 1-2
## 4693 20,000-24,999 10,000-99,999 5-10
## 4694 30,000-39,999 100-999 5-10
## 4695 40,000-49,999 100-999 3-5
## 4696 25,000-29,999 100-999 3-5
## 4697 <NA> <NA> < 1
## 4698 150,000-199,999 > 100,000 20+
## 4699 2,000-2,999 > 100,000 3-5
## 4700 <NA> <NA> None
## 4701 40,000-49,999 100-999 1-2
## 4702 <NA> <NA> < 1
## 4703 <NA> <NA> None
## 4704 300,000-500,000 0 20+
## 4705 80,000-89,999 10,000-99,999 5-10
## 4706 125,000-149,999 10,000-99,999 5-10
## 4707 <NA> <NA> < 1
## 4708 5,000-7,499 1000-9,999 3-5
## 4709 <NA> <NA> None
## 4710 50,000-59,999 1000-9,999 5-10
## 4711 40,000-49,999 10,000-99,999 3-5
## 4712 <NA> <NA> < 1
## 4713 40,000-49,999 0 5-10
## 4714 <NA> <NA> None
## 4715 <NA> <NA> 5-10
## 4716 125,000-149,999 1000-9,999 10-20
## 4717 2,000-2,999 0 5-10
## 4718 80,000-89,999 0 10-20
## 4719 40,000-49,999 1000-9,999 5-10
## 4720 15,000-19,999 100-999 3-5
## 4721 0-999 0 < 1
## 4722 15,000-19,999 1000-9,999 3-5
## 4723 <NA> <NA> None
## 4724 100,000-124,999 10,000-99,999 3-5
## 4725 70,000-79,999 1000-9,999 1-2
## 4726 0-999 1-99 < 1
## 4727 80,000-89,999 0 3-5
## 4728 <NA> <NA> None
## 4729 2,000-2,999 1000-9,999 10-20
## 4730 100,000-124,999 > 100,000 10-20
## 4731 5,000-7,499 0 1-2
## 4732 150,000-199,999 0 3-5
## 4733 60,000-69,999 0 3-5
## 4734 90,000-99,999 1000-9,999 3-5
## 4735 10,000-14,999 1-99 3-5
## 4736 0-999 0 < 1
## 4737 <NA> <NA> < 1
## 4738 60,000-69,999 1-99 1-2
## 4739 90,000-99,999 10,000-99,999 5-10
## 4740 50,000-59,999 1000-9,999 3-5
## 4741 1,000-1,999 0 < 1
## 4742 100,000-124,999 100-999 10-20
## 4743 <NA> <NA> 5-10
## 4744 30,000-39,999 0 3-5
## 4745 90,000-99,999 > 100,000 3-5
## 4746 <NA> <NA> < 1
## 4747 <NA> <NA> < 1
## 4748 10,000-14,999 0 None
## 4749 10,000-14,999 0 < 1
## 4750 100,000-124,999 1000-9,999 3-5
## 4751 <NA> <NA> 1-2
## 4752 125,000-149,999 1000-9,999 3-5
## 4753 40,000-49,999 > 100,000 1-2
## 4754 <NA> <NA> 1-2
## 4755 40,000-49,999 0 3-5
## 4756 <NA> <NA> 1-2
## 4757 100,000-124,999 > 100,000 3-5
## 4758 100,000-124,999 100-999 3-5
## 4759 30,000-39,999 0 3-5
## 4760 150,000-199,999 > 100,000 5-10
## 4761 200,000-249,999 > 100,000 10-20
## 4762 <NA> <NA> 1-2
## 4763 1,000-1,999 1-99 3-5
## 4764 150,000-199,999 10,000-99,999 5-10
## 4765 <NA> <NA> 1-2
## 4766 10,000-14,999 1-99 < 1
## 4767 5,000-7,499 0 3-5
## 4768 25,000-29,999 > 100,000 10-20
## 4769 70,000-79,999 100-999 3-5
## 4770 30,000-39,999 > 100,000 10-20
## 4771 0-999 1000-9,999 3-5
## 4772 <NA> <NA> None
## 4773 <NA> <NA> 1-2
## 4774 200,000-249,999 > 100,000 10-20
## 4775 90,000-99,999 1000-9,999 5-10
## 4776 60,000-69,999 1000-9,999 3-5
## 4777 100,000-124,999 0 3-5
## 4778 <NA> <NA> < 1
## 4779 1,000-1,999 1000-9,999 3-5
## 4780 80,000-89,999 0 10-20
## 4781 <NA> <NA> 1-2
## 4782 125,000-149,999 1000-9,999 5-10
## 4783 > 500,000 > 100,000 3-5
## 4784 <NA> <NA> < 1
## 4785 60,000-69,999 0 1-2
## 4786 25,000-29,999 1-99 3-5
## 4787 <NA> <NA> < 1
## 4788 <NA> <NA> < 1
## 4789 50,000-59,999 100-999 1-2
## 4790 <NA> <NA> 1-2
## 4791 125,000-149,999 1-99 < 1
## 4792 125,000-149,999 0 3-5
## 4793 300,000-500,000 > 100,000 None
## 4794 300,000-500,000 0 3-5
## 4795 50,000-59,999 1000-9,999 5-10
## 4796 80,000-89,999 0 3-5
## 4797 7,500-9,999 0 < 1
## 4798 <NA> <NA> < 1
## 4799 <NA> <NA> < 1
## 4800 100,000-124,999 0 3-5
## 4801 <NA> <NA> 1-2
## 4802 <NA> <NA> 1-2
## 4803 <NA> <NA> 1-2
## 4804 1,000-1,999 1-99 1-2
## 4805 10,000-14,999 100-999 1-2
## 4806 <NA> <NA> < 1
## 4807 15,000-19,999 10,000-99,999 3-5
## 4808 100,000-124,999 0 < 1
## 4809 <NA> <NA> 1-2
## 4810 90,000-99,999 100-999 3-5
## 4811 90,000-99,999 1000-9,999 3-5
## 4812 5,000-7,499 100-999 < 1
## 4813 20,000-24,999 1000-9,999 1-2
## 4814 25,000-29,999 10,000-99,999 None
## 4815 <NA> <NA> 1-2
## 4816 > 500,000 > 100,000 10-20
## 4817 80,000-89,999 1000-9,999 3-5
## 4818 100,000-124,999 > 100,000 5-10
## 4819 2,000-2,999 1000-9,999 10-20
## 4820 10,000-14,999 0 1-2
## 4821 <NA> <NA> 1-2
## 4822 70,000-79,999 > 100,000 10-20
## 4823 90,000-99,999 10,000-99,999 1-2
## 4824 100,000-124,999 0 1-2
## 4825 0-999 100-999 5-10
## 4826 40,000-49,999 100-999 None
## 4827 90,000-99,999 1000-9,999 3-5
## 4828 125,000-149,999 > 100,000 3-5
## 4829 <NA> <NA> 3-5
## 4830 <NA> <NA> < 1
## 4831 100,000-124,999 > 100,000 1-2
## 4832 4,000-4,999 0 < 1
## 4833 80,000-89,999 0 20+
## 4834 <NA> <NA> < 1
## 4835 60,000-69,999 0 3-5
## 4836 5,000-7,499 1-99 < 1
## 4837 200,000-249,999 10,000-99,999 10-20
## 4838 <NA> <NA> None
## 4839 30,000-39,999 100-999 < 1
## 4840 5,000-7,499 0 3-5
## 4841 1,000-1,999 0 3-5
## 4842 70,000-79,999 100-999 1-2
## 4843 150,000-199,999 0 10-20
## 4844 100,000-124,999 > 100,000 5-10
## 4845 30,000-39,999 100-999 5-10
## 4846 90,000-99,999 0 3-5
## 4847 70,000-79,999 1000-9,999 5-10
## 4848 50,000-59,999 0 < 1
## 4849 70,000-79,999 100-999 None
## 4850 150,000-199,999 10,000-99,999 20+
## 4851 50,000-59,999 0 10-20
## 4852 25,000-29,999 10,000-99,999 10-20
## 4853 5,000-7,499 0 < 1
## 4854 90,000-99,999 10,000-99,999 3-5
## 4855 30,000-39,999 100-999 5-10
## 4856 150,000-199,999 10,000-99,999 3-5
## 4857 70,000-79,999 1000-9,999 5-10
## 4858 80,000-89,999 1000-9,999 20+
## 4859 50,000-59,999 100-999 1-2
## 4860 50,000-59,999 0 3-5
## 4861 10,000-14,999 0 < 1
## 4862 <NA> <NA> 1-2
## 4863 100,000-124,999 0 10-20
## 4864 30,000-39,999 0 10-20
## 4865 <NA> <NA> < 1
## 4866 5,000-7,499 0 1-2
## 4867 25,000-29,999 1000-9,999 3-5
## 4868 <NA> <NA> 3-5
## 4869 40,000-49,999 1-99 < 1
## 4870 125,000-149,999 0 10-20
## 4871 80,000-89,999 > 100,000 3-5
## 4872 15,000-19,999 1000-9,999 10-20
## 4873 1,000-1,999 0 < 1
## 4874 150,000-199,999 > 100,000 5-10
## 4875 70,000-79,999 1000-9,999 20+
## 4876 7,500-9,999 10,000-99,999 5-10
## 4877 <NA> <NA> None
## 4878 0-999 100-999 1-2
## 4879 <NA> <NA> < 1
## 4880 40,000-49,999 100-999 3-5
## 4881 1,000-1,999 100-999 1-2
## 4882 <NA> <NA> 1-2
## 4883 <NA> <NA> < 1
## 4884 20,000-24,999 1000-9,999 3-5
## 4885 <NA> <NA> None
## 4886 90,000-99,999 1-99 20+
## 4887 70,000-79,999 0 10-20
## 4888 60,000-69,999 10,000-99,999 1-2
## 4889 40,000-49,999 > 100,000 3-5
## 4890 20,000-24,999 100-999 1-2
## 4891 3,000-3,999 > 100,000 10-20
## 4892 125,000-149,999 100-999 5-10
## 4893 <NA> <NA> 3-5
## 4894 <NA> <NA> < 1
## 4895 0-999 1-99 < 1
## 4896 30,000-39,999 10,000-99,999 3-5
## 4897 <NA> <NA> 3-5
## 4898 <NA> <NA> 3-5
## 4899 125,000-149,999 10,000-99,999 10-20
## 4900 1,000-1,999 10,000-99,999 3-5
## 4901 90,000-99,999 100-999 5-10
## 4902 0-999 100-999 20+
## 4903 100,000-124,999 10,000-99,999 None
## 4904 <NA> <NA> None
## 4905 80,000-89,999 10,000-99,999 10-20
## 4906 15,000-19,999 100-999 3-5
## 4907 250,000-299,999 0 10-20
## 4908 <NA> <NA> 1-2
## 4909 0-999 1-99 1-2
## 4910 <NA> <NA> < 1
## 4911 100,000-124,999 100-999 3-5
## 4912 100,000-124,999 100-999 5-10
## 4913 <NA> <NA> 1-2
## 4914 150,000-199,999 > 100,000 5-10
## 4915 100,000-124,999 10,000-99,999 5-10
## 4916 150,000-199,999 > 100,000 10-20
## 4917 10,000-14,999 100-999 1-2
## 4918 50,000-59,999 1-99 < 1
## 4919 10,000-14,999 0 1-2
## 4920 90,000-99,999 > 100,000 3-5
## 4921 30,000-39,999 0 < 1
## 4922 70,000-79,999 0 < 1
## 4923 100,000-124,999 > 100,000 5-10
## 4924 2,000-2,999 1-99 < 1
## 4925 <NA> <NA> < 1
## 4926 90,000-99,999 0 5-10
## 4927 7,500-9,999 0 < 1
## 4928 15,000-19,999 1-99 1-2
## 4929 10,000-14,999 100-999 5-10
## 4930 4,000-4,999 1000-9,999 3-5
## 4931 1,000-1,999 0 3-5
## 4932 80,000-89,999 0 < 1
## 4933 4,000-4,999 1000-9,999 1-2
## 4934 25,000-29,999 100-999 5-10
## 4935 3,000-3,999 1000-9,999 5-10
## 4936 70,000-79,999 0 1-2
## 4937 1,000-1,999 1-99 < 1
## 4938 <NA> <NA> None
## 4939 <NA> <NA> < 1
## 4940 <NA> <NA> None
## 4941 25,000-29,999 0 None
## 4942 100,000-124,999 10,000-99,999 20+
## 4943 25,000-29,999 1000-9,999 3-5
## 4944 30,000-39,999 1-99 20+
## 4945 2,000-2,999 0 < 1
## 4946 30,000-39,999 1000-9,999 3-5
## 4947 100,000-124,999 10,000-99,999 10-20
## 4948 100,000-124,999 1000-9,999 20+
## 4949 150,000-199,999 > 100,000 20+
## 4950 0-999 1-99 < 1
## 4951 150,000-199,999 10,000-99,999 10-20
## 4952 20,000-24,999 10,000-99,999 < 1
## 4953 20,000-24,999 1000-9,999 10-20
## 4954 150,000-199,999 > 100,000 1-2
## 4955 150,000-199,999 10,000-99,999 10-20
## 4956 125,000-149,999 > 100,000 10-20
## 4957 <NA> <NA> < 1
## 4958 <NA> <NA> < 1
## 4959 100,000-124,999 100-999 20+
## 4960 0-999 1-99 1-2
## 4961 10,000-14,999 0 1-2
## 4962 10,000-14,999 100-999 1-2
## 4963 125,000-149,999 0 10-20
## 4964 <NA> <NA> < 1
## 4965 90,000-99,999 > 100,000 3-5
## 4966 0-999 1-99 < 1
## 4967 20,000-24,999 1-99 3-5
## 4968 3,000-3,999 100-999 1-2
## 4969 0-999 100-999 5-10
## 4970 1,000-1,999 0 < 1
## 4971 <NA> <NA> 3-5
## 4972 <NA> <NA> < 1
## 4973 40,000-49,999 1-99 < 1
## 4974 150,000-199,999 > 100,000 10-20
## 4975 10,000-14,999 10,000-99,999 1-2
## 4976 150,000-199,999 > 100,000 20+
## 4977 10,000-14,999 100-999 5-10
## 4978 4,000-4,999 0 5-10
## 4979 150,000-199,999 1000-9,999 1-2
## 4980 1,000-1,999 1-99 None
## 4981 125,000-149,999 10,000-99,999 10-20
## 4982 0-999 0 10-20
## 4983 10,000-14,999 100-999 1-2
## 4984 150,000-199,999 > 100,000 5-10
## 4985 <NA> <NA> None
## 4986 100,000-124,999 1000-9,999 None
## 4987 50,000-59,999 0 < 1
## 4988 30,000-39,999 1000-9,999 3-5
## 4989 90,000-99,999 100-999 3-5
## 4990 60,000-69,999 100-999 10-20
## 4991 70,000-79,999 1000-9,999 3-5
## 4992 60,000-69,999 0 5-10
## 4993 20,000-24,999 0 < 1
## 4994 1,000-1,999 1-99 1-2
## 4995 80,000-89,999 1000-9,999 5-10
## 4996 150,000-199,999 1000-9,999 5-10
## 4997 50,000-59,999 100-999 1-2
## 4998 10,000-14,999 0 5-10
## 4999 1,000-1,999 1-99 3-5
## 5000 10,000-14,999 0 1-2
## 5001 7,500-9,999 100-999 1-2
## 5002 5,000-7,499 10,000-99,999 1-2
## 5003 20,000-24,999 100-999 3-5
## 5004 50,000-59,999 0 3-5
## 5005 <NA> <NA> 1-2
## 5006 40,000-49,999 0 1-2
## 5007 200,000-249,999 100-999 None
## 5008 150,000-199,999 1000-9,999 5-10
## 5009 50,000-59,999 0 5-10
## 5010 150,000-199,999 100-999 10-20
## 5011 3,000-3,999 1-99 1-2
## 5012 60,000-69,999 0 5-10
## 5013 40,000-49,999 0 3-5
## 5014 15,000-19,999 0 5-10
## 5015 > 500,000 > 100,000 20+
## 5016 <NA> <NA> 1-2
## 5017 <NA> <NA> 1-2
## 5018 60,000-69,999 10,000-99,999 5-10
## 5019 0-999 0 1-2
## 5020 100,000-124,999 1000-9,999 1-2
## 5021 0-999 0 1-2
## 5022 <NA> <NA> 3-5
## 5023 150,000-199,999 100-999 20+
## 5024 60,000-69,999 10,000-99,999 5-10
## 5025 <NA> <NA> 1-2
## 5026 <NA> <NA> None
## 5027 90,000-99,999 1000-9,999 3-5
## 5028 100,000-124,999 1000-9,999 5-10
## 5029 100,000-124,999 > 100,000 5-10
## 5030 4,000-4,999 0 5-10
## 5031 7,500-9,999 10,000-99,999 20+
## 5032 20,000-24,999 100-999 None
## 5033 25,000-29,999 10,000-99,999 1-2
## 5034 <NA> <NA> < 1
## 5035 90,000-99,999 1000-9,999 20+
## 5036 40,000-49,999 100-999 3-5
## 5037 <NA> <NA> 1-2
## 5038 80,000-89,999 0 1-2
## 5039 40,000-49,999 > 100,000 3-5
## 5040 2,000-2,999 0 < 1
## 5041 60,000-69,999 0 10-20
## 5042 60,000-69,999 0 1-2
## 5043 7,500-9,999 0 3-5
## 5044 <NA> <NA> < 1
## 5045 80,000-89,999 100-999 1-2
## 5046 <NA> <NA> 3-5
## 5047 <NA> <NA> < 1
## 5048 <NA> <NA> 3-5
## 5049 30,000-39,999 0 10-20
## 5050 25,000-29,999 0 5-10
## 5051 25,000-29,999 0 1-2
## 5052 0-999 100-999 < 1
## 5053 <NA> <NA> < 1
## 5054 1,000-1,999 1000-9,999 1-2
## 5055 100,000-124,999 10,000-99,999 5-10
## 5056 > 500,000 > 100,000 1-2
## 5057 60,000-69,999 0 5-10
## 5058 100,000-124,999 0 None
## 5059 100,000-124,999 1-99 3-5
## 5060 300,000-500,000 1000-9,999 3-5
## 5061 <NA> <NA> 3-5
## 5062 10,000-14,999 100-999 1-2
## 5063 <NA> <NA> < 1
## 5064 70,000-79,999 10,000-99,999 1-2
## 5065 <NA> <NA> None
## 5066 <NA> <NA> 3-5
## 5067 80,000-89,999 100-999 1-2
## 5068 2,000-2,999 0 3-5
## 5069 150,000-199,999 1000-9,999 20+
## 5070 <NA> <NA> 3-5
## 5071 50,000-59,999 0 1-2
## 5072 300,000-500,000 > 100,000 5-10
## 5073 80,000-89,999 10,000-99,999 10-20
## 5074 <NA> <NA> 3-5
## 5075 0-999 1-99 1-2
## 5076 <NA> <NA> 1-2
## 5077 60,000-69,999 0 3-5
## 5078 <NA> <NA> < 1
## 5079 30,000-39,999 0 1-2
## 5080 <NA> <NA> None
## 5081 100,000-124,999 10,000-99,999 1-2
## 5082 100,000-124,999 10,000-99,999 5-10
## 5083 <NA> <NA> 1-2
## 5084 <NA> <NA> 3-5
## 5085 1,000-1,999 1000-9,999 1-2
## 5086 40,000-49,999 1000-9,999 3-5
## 5087 <NA> <NA> None
## 5088 <NA> <NA> < 1
## 5089 4,000-4,999 0 3-5
## 5090 30,000-39,999 100-999 1-2
## 5091 <NA> <NA> 3-5
## 5092 2,000-2,999 1000-9,999 3-5
## 5093 4,000-4,999 1-99 3-5
## 5094 <NA> <NA> 3-5
## 5095 0-999 0 < 1
## 5096 40,000-49,999 0 < 1
## 5097 20,000-24,999 0 3-5
## 5098 200,000-249,999 1000-9,999 3-5
## 5099 5,000-7,499 0 5-10
## 5100 0-999 0 1-2
## 5101 <NA> <NA> < 1
## 5102 0-999 0 3-5
## 5103 0-999 1000-9,999 1-2
## 5104 30,000-39,999 0 3-5
## 5105 70,000-79,999 100-999 < 1
## 5106 7,500-9,999 0 < 1
## 5107 90,000-99,999 1-99 5-10
## 5108 100,000-124,999 > 100,000 5-10
## 5109 15,000-19,999 0 1-2
## 5110 20,000-24,999 100-999 3-5
## 5111 1,000-1,999 0 < 1
## 5112 1,000-1,999 0 3-5
## 5113 300,000-500,000 1000-9,999 20+
## 5114 2,000-2,999 10,000-99,999 5-10
## 5115 150,000-199,999 > 100,000 5-10
## 5116 100,000-124,999 0 < 1
## 5117 100,000-124,999 10,000-99,999 10-20
## 5118 0-999 0 None
## 5119 <NA> <NA> 1-2
## 5120 80,000-89,999 0 < 1
## 5121 <NA> <NA> < 1
## 5122 <NA> <NA> None
## 5123 2,000-2,999 10,000-99,999 1-2
## 5124 10,000-14,999 100-999 1-2
## 5125 100,000-124,999 100-999 None
## 5126 40,000-49,999 10,000-99,999 3-5
## 5127 100,000-124,999 > 100,000 10-20
## 5128 30,000-39,999 1000-9,999 3-5
## 5129 10,000-14,999 0 5-10
## 5130 40,000-49,999 1000-9,999 1-2
## 5131 0-999 100-999 3-5
## 5132 3,000-3,999 100-999 1-2
## 5133 <NA> <NA> 3-5
## 5134 40,000-49,999 100-999 5-10
## 5135 100,000-124,999 1-99 10-20
## 5136 100,000-124,999 > 100,000 3-5
## 5137 <NA> <NA> < 1
## 5138 <NA> <NA> < 1
## 5139 300,000-500,000 > 100,000 10-20
## 5140 0-999 100-999 5-10
## 5141 <NA> <NA> 5-10
## 5142 <NA> <NA> 1-2
## 5143 0-999 1-99 3-5
## 5144 50,000-59,999 1-99 1-2
## 5145 <NA> <NA> 3-5
## 5146 50,000-59,999 10,000-99,999 5-10
## 5147 10,000-14,999 1000-9,999 3-5
## 5148 100,000-124,999 10,000-99,999 1-2
## 5149 125,000-149,999 10,000-99,999 None
## 5150 <NA> <NA> < 1
## 5151 125,000-149,999 > 100,000 10-20
## 5152 20,000-24,999 10,000-99,999 1-2
## 5153 10,000-14,999 0 < 1
## 5154 10,000-14,999 10,000-99,999 3-5
## 5155 3,000-3,999 1-99 1-2
## 5156 50,000-59,999 0 3-5
## 5157 150,000-199,999 > 100,000 20+
## 5158 0-999 0 3-5
## 5159 <NA> <NA> 5-10
## 5160 60,000-69,999 1-99 3-5
## 5161 60,000-69,999 0 5-10
## 5162 5,000-7,499 0 < 1
## 5163 15,000-19,999 100-999 1-2
## 5164 40,000-49,999 1-99 3-5
## 5165 30,000-39,999 0 None
## 5166 10,000-14,999 100-999 < 1
## 5167 90,000-99,999 1-99 1-2
## 5168 5,000-7,499 100-999 < 1
## 5169 3,000-3,999 100-999 < 1
## 5170 150,000-199,999 1000-9,999 10-20
## 5171 150,000-199,999 1000-9,999 5-10
## 5172 100,000-124,999 10,000-99,999 3-5
## 5173 70,000-79,999 10,000-99,999 20+
## 5174 40,000-49,999 100-999 5-10
## 5175 20,000-24,999 1000-9,999 1-2
## 5176 10,000-14,999 > 100,000 3-5
## 5177 <NA> <NA> < 1
## 5178 250,000-299,999 10,000-99,999 10-20
## 5179 100,000-124,999 1000-9,999 20+
## 5180 0-999 1000-9,999 5-10
## 5181 125,000-149,999 0 1-2
## 5182 10,000-14,999 0 None
## 5183 125,000-149,999 10,000-99,999 10-20
## 5184 0-999 0 1-2
## 5185 150,000-199,999 > 100,000 3-5
## 5186 80,000-89,999 1000-9,999 5-10
## 5187 7,500-9,999 0 < 1
## 5188 <NA> <NA> 1-2
## 5189 <NA> <NA> < 1
## 5190 80,000-89,999 > 100,000 20+
## 5191 60,000-69,999 1-99 3-5
## 5192 <NA> <NA> < 1
## 5193 10,000-14,999 1000-9,999 3-5
## 5194 100,000-124,999 > 100,000 3-5
## 5195 100,000-124,999 1000-9,999 3-5
## 5196 <NA> <NA> < 1
## 5197 100,000-124,999 0 10-20
## 5198 100,000-124,999 1000-9,999 3-5
## 5199 100,000-124,999 1000-9,999 10-20
## 5200 3,000-3,999 0 1-2
## 5201 25,000-29,999 0 3-5
## 5202 <NA> <NA> < 1
## 5203 2,000-2,999 10,000-99,999 3-5
## 5204 200,000-249,999 > 100,000 10-20
## 5205 10,000-14,999 0 1-2
## 5206 150,000-199,999 10,000-99,999 1-2
## 5207 125,000-149,999 10,000-99,999 10-20
## 5208 <NA> <NA> 5-10
## 5209 20,000-24,999 100-999 5-10
## 5210 150,000-199,999 1000-9,999 10-20
## 5211 90,000-99,999 1000-9,999 20+
## 5212 7,500-9,999 1000-9,999 5-10
## 5213 200,000-249,999 > 100,000 10-20
## 5214 250,000-299,999 > 100,000 10-20
## 5215 40,000-49,999 1000-9,999 5-10
## 5216 70,000-79,999 1000-9,999 10-20
## 5217 <NA> <NA> < 1
## 5218 200,000-249,999 > 100,000 10-20
## 5219 100,000-124,999 0 1-2
## 5220 0-999 0 20+
## 5221 125,000-149,999 > 100,000 5-10
## 5222 15,000-19,999 100-999 5-10
## 5223 70,000-79,999 0 3-5
## 5224 50,000-59,999 1-99 1-2
## 5225 <NA> <NA> None
## 5226 > 500,000 > 100,000 20+
## 5227 70,000-79,999 1000-9,999 3-5
## 5228 70,000-79,999 100-999 10-20
## 5229 <NA> <NA> < 1
## 5230 0-999 0 10-20
## 5231 125,000-149,999 10,000-99,999 3-5
## 5232 7,500-9,999 100-999 3-5
## 5233 150,000-199,999 > 100,000 20+
## 5234 50,000-59,999 0 1-2
## 5235 0-999 > 100,000 1-2
## 5236 100,000-124,999 1000-9,999 3-5
## 5237 100,000-124,999 100-999 3-5
## 5238 10,000-14,999 1-99 10-20
## 5239 15,000-19,999 1000-9,999 10-20
## 5240 100,000-124,999 100-999 5-10
## 5241 100,000-124,999 100-999 1-2
## 5242 100,000-124,999 10,000-99,999 3-5
## 5243 80,000-89,999 0 3-5
## 5244 60,000-69,999 1000-9,999 3-5
## 5245 2,000-2,999 1-99 < 1
## 5246 150,000-199,999 10,000-99,999 20+
## 5247 <NA> <NA> 1-2
## 5248 <NA> <NA> None
## 5249 <NA> <NA> 3-5
## 5250 0-999 100-999 < 1
## 5251 > 500,000 10,000-99,999 20+
## 5252 0-999 0 1-2
## 5253 2,000-2,999 0 None
## 5254 200,000-249,999 1000-9,999 20+
## 5255 70,000-79,999 100-999 3-5
## 5256 1,000-1,999 1-99 < 1
## 5257 0-999 0 1-2
## 5258 40,000-49,999 0 < 1
## 5259 125,000-149,999 0 10-20
## 5260 <NA> <NA> < 1
## 5261 <NA> <NA> 3-5
## 5262 150,000-199,999 100-999 10-20
## 5263 250,000-299,999 10,000-99,999 20+
## 5264 90,000-99,999 > 100,000 10-20
## 5265 80,000-89,999 100-999 < 1
## 5266 50,000-59,999 10,000-99,999 1-2
## 5267 60,000-69,999 100-999 10-20
## 5268 200,000-249,999 1-99 < 1
## 5269 70,000-79,999 100-999 3-5
## 5270 125,000-149,999 1-99 3-5
## 5271 90,000-99,999 100-999 None
## 5272 50,000-59,999 1000-9,999 1-2
## 5273 <NA> <NA> 1-2
## 5274 100,000-124,999 10,000-99,999 3-5
## 5275 60,000-69,999 1-99 3-5
## 5276 <NA> <NA> None
## 5277 150,000-199,999 100-999 10-20
## 5278 <NA> <NA> None
## 5279 <NA> <NA> 1-2
## 5280 4,000-4,999 1-99 10-20
## 5281 <NA> <NA> 1-2
## 5282 60,000-69,999 0 5-10
## 5283 15,000-19,999 0 < 1
## 5284 40,000-49,999 > 100,000 1-2
## 5285 30,000-39,999 100-999 3-5
## 5286 30,000-39,999 1-99 5-10
## 5287 100,000-124,999 > 100,000 5-10
## 5288 <NA> <NA> 1-2
## 5289 30,000-39,999 0 5-10
## 5290 200,000-249,999 10,000-99,999 10-20
## 5291 90,000-99,999 10,000-99,999 10-20
## 5292 20,000-24,999 100-999 1-2
## 5293 10,000-14,999 0 5-10
## 5294 <NA> <NA> 1-2
## 5295 200,000-249,999 > 100,000 10-20
## 5296 0-999 1-99 3-5
## 5297 125,000-149,999 > 100,000 10-20
## 5298 30,000-39,999 1000-9,999 < 1
## 5299 10,000-14,999 1000-9,999 < 1
## 5300 5,000-7,499 1-99 3-5
## 5301 <NA> <NA> 5-10
## 5302 30,000-39,999 0 < 1
## 5303 100,000-124,999 0 10-20
## 5304 100,000-124,999 10,000-99,999 3-5
## 5305 <NA> <NA> 3-5
## 5306 125,000-149,999 10,000-99,999 10-20
## 5307 60,000-69,999 0 20+
## 5308 <NA> <NA> 1-2
## 5309 60,000-69,999 0 5-10
## 5310 125,000-149,999 > 100,000 5-10
## 5311 70,000-79,999 10,000-99,999 1-2
## 5312 25,000-29,999 1-99 3-5
## 5313 7,500-9,999 0 1-2
## 5314 0-999 0 1-2
## 5315 4,000-4,999 1000-9,999 5-10
## 5316 100,000-124,999 100-999 3-5
## 5317 70,000-79,999 100-999 5-10
## 5318 50,000-59,999 1000-9,999 3-5
## 5319 <NA> <NA> < 1
## 5320 <NA> <NA> 1-2
## 5321 0-999 1000-9,999 < 1
## 5322 <NA> <NA> < 1
## 5323 90,000-99,999 > 100,000 5-10
## 5324 3,000-3,999 0 3-5
## 5325 125,000-149,999 0 3-5
## 5326 125,000-149,999 1000-9,999 3-5
## 5327 2,000-2,999 100-999 1-2
## 5328 <NA> <NA> 3-5
## 5329 4,000-4,999 1-99 None
## 5330 1,000-1,999 1000-9,999 5-10
## 5331 30,000-39,999 1-99 1-2
## 5332 2,000-2,999 0 < 1
## 5333 <NA> <NA> 1-2
## 5334 10,000-14,999 1-99 5-10
## 5335 20,000-24,999 100-999 1-2
## 5336 0-999 0 1-2
## 5337 <NA> <NA> None
## 5338 90,000-99,999 0 5-10
## 5339 5,000-7,499 1000-9,999 3-5
## 5340 90,000-99,999 10,000-99,999 3-5
## 5341 70,000-79,999 100-999 3-5
## 5342 125,000-149,999 > 100,000 1-2
## 5343 <NA> <NA> 5-10
## 5344 2,000-2,999 > 100,000 10-20
## 5345 1,000-1,999 0 3-5
## 5346 10,000-14,999 100-999 10-20
## 5347 15,000-19,999 1000-9,999 1-2
## 5348 80,000-89,999 0 5-10
## 5349 <NA> <NA> 1-2
## 5350 0-999 0 10-20
## 5351 1,000-1,999 0 < 1
## 5352 7,500-9,999 1-99 < 1
## 5353 <NA> <NA> < 1
## 5354 80,000-89,999 10,000-99,999 3-5
## 5355 10,000-14,999 1-99 1-2
## 5356 4,000-4,999 1000-9,999 5-10
## 5357 150,000-199,999 10,000-99,999 10-20
## 5358 0-999 1-99 1-2
## 5359 0-999 0 1-2
## 5360 5,000-7,499 1-99 < 1
## 5361 0-999 0 3-5
## 5362 <NA> <NA> 1-2
## 5363 40,000-49,999 10,000-99,999 < 1
## 5364 <NA> <NA> 1-2
## 5365 <NA> <NA> None
## 5366 70,000-79,999 10,000-99,999 3-5
## 5367 60,000-69,999 0 3-5
## 5368 <NA> <NA> 1-2
## 5369 40,000-49,999 0 1-2
## 5370 150,000-199,999 1000-9,999 3-5
## 5371 10,000-14,999 1000-9,999 3-5
## 5372 5,000-7,499 0 < 1
## 5373 <NA> <NA> 1-2
## 5374 3,000-3,999 100-999 1-2
## 5375 20,000-24,999 0 3-5
## 5376 <NA> <NA> < 1
## 5377 <NA> <NA> 1-2
## 5378 <NA> <NA> 1-2
## 5379 90,000-99,999 0 1-2
## 5380 <NA> <NA> < 1
## 5381 5,000-7,499 1000-9,999 1-2
## 5382 60,000-69,999 0 20+
## 5383 0-999 100-999 1-2
## 5384 2,000-2,999 0 3-5
## 5385 100,000-124,999 10,000-99,999 10-20
## 5386 0-999 0 < 1
## 5387 15,000-19,999 100-999 3-5
## 5388 50,000-59,999 1000-9,999 5-10
## 5389 0-999 1-99 1-2
## 5390 100,000-124,999 10,000-99,999 3-5
## 5391 125,000-149,999 1000-9,999 3-5
## 5392 <NA> <NA> 1-2
## 5393 <NA> <NA> < 1
## 5394 <NA> <NA> 1-2
## 5395 20,000-24,999 0 1-2
## 5396 0-999 1000-9,999 3-5
## 5397 70,000-79,999 100-999 < 1
## 5398 15,000-19,999 1000-9,999 < 1
## 5399 2,000-2,999 1-99 None
## 5400 0-999 0 < 1
## 5401 0-999 0 3-5
## 5402 40,000-49,999 > 100,000 3-5
## 5403 20,000-24,999 100-999 1-2
## 5404 4,000-4,999 10,000-99,999 < 1
## 5405 1,000-1,999 10,000-99,999 1-2
## 5406 <NA> <NA> 10-20
## 5407 <NA> <NA> None
## 5408 0-999 100-999 1-2
## 5409 100,000-124,999 10,000-99,999 3-5
## 5410 60,000-69,999 100-999 < 1
## 5411 3,000-3,999 1000-9,999 < 1
## 5412 90,000-99,999 > 100,000 1-2
## 5413 70,000-79,999 > 100,000 3-5
## 5414 <NA> <NA> < 1
## 5415 30,000-39,999 0 None
## 5416 60,000-69,999 1000-9,999 10-20
## 5417 4,000-4,999 100-999 1-2
## 5418 40,000-49,999 100-999 1-2
## 5419 100,000-124,999 0 1-2
## 5420 1,000-1,999 0 1-2
## 5421 <NA> <NA> 1-2
## 5422 <NA> <NA> < 1
## 5423 15,000-19,999 100-999 3-5
## 5424 10,000-14,999 10,000-99,999 5-10
## 5425 200,000-249,999 0 10-20
## 5426 4,000-4,999 0 3-5
## 5427 <NA> <NA> 3-5
## 5428 0-999 1000-9,999 < 1
## 5429 25,000-29,999 0 3-5
## 5430 2,000-2,999 1-99 3-5
## 5431 15,000-19,999 1-99 3-5
## 5432 25,000-29,999 100-999 5-10
## 5433 70,000-79,999 100-999 3-5
## 5434 <NA> <NA> < 1
## 5435 25,000-29,999 10,000-99,999 5-10
## 5436 15,000-19,999 1000-9,999 1-2
## 5437 <NA> <NA> 1-2
## 5438 30,000-39,999 100-999 3-5
## 5439 100,000-124,999 10,000-99,999 10-20
## 5440 1,000-1,999 0 None
## 5441 70,000-79,999 100-999 5-10
## 5442 <NA> <NA> 1-2
## 5443 <NA> <NA> < 1
## 5444 30,000-39,999 0 3-5
## 5445 60,000-69,999 0 < 1
## 5446 <NA> <NA> 3-5
## 5447 <NA> <NA> 1-2
## 5448 1,000-1,999 0 1-2
## 5449 10,000-14,999 10,000-99,999 5-10
## 5450 40,000-49,999 0 None
## 5451 25,000-29,999 1000-9,999 5-10
## 5452 100,000-124,999 100-999 5-10
## 5453 15,000-19,999 0 3-5
## 5454 25,000-29,999 0 None
## 5455 30,000-39,999 0 3-5
## 5456 15,000-19,999 0 < 1
## 5457 90,000-99,999 10,000-99,999 10-20
## 5458 10,000-14,999 1-99 1-2
## 5459 1,000-1,999 1-99 < 1
## 5460 40,000-49,999 10,000-99,999 5-10
## 5461 100,000-124,999 0 3-5
## 5462 40,000-49,999 1-99 1-2
## 5463 <NA> <NA> None
## 5464 5,000-7,499 100-999 < 1
## 5465 60,000-69,999 1000-9,999 5-10
## 5466 0-999 0 1-2
## 5467 7,500-9,999 0 1-2
## 5468 <NA> <NA> 1-2
## 5469 100,000-124,999 > 100,000 20+
## 5470 125,000-149,999 1000-9,999 < 1
## 5471 25,000-29,999 1000-9,999 < 1
## 5472 <NA> <NA> 1-2
## 5473 15,000-19,999 1-99 1-2
## 5474 <NA> <NA> < 1
## 5475 25,000-29,999 0 3-5
## 5476 25,000-29,999 1000-9,999 < 1
## 5477 2,000-2,999 0 10-20
## 5478 50,000-59,999 0 3-5
## 5479 50,000-59,999 100-999 10-20
## 5480 3,000-3,999 100-999 3-5
## 5481 80,000-89,999 1000-9,999 10-20
## 5482 7,500-9,999 100-999 10-20
## 5483 100,000-124,999 1-99 10-20
## 5484 <NA> <NA> < 1
## 5485 30,000-39,999 1000-9,999 5-10
## 5486 <NA> <NA> 1-2
## 5487 15,000-19,999 0 1-2
## 5488 4,000-4,999 10,000-99,999 None
## 5489 7,500-9,999 0 20+
## 5490 4,000-4,999 0 < 1
## 5491 40,000-49,999 100-999 3-5
## 5492 0-999 1-99 3-5
## 5493 15,000-19,999 100-999 1-2
## 5494 4,000-4,999 0 1-2
## 5495 30,000-39,999 10,000-99,999 3-5
## 5496 15,000-19,999 0 < 1
## 5497 5,000-7,499 0 < 1
## 5498 25,000-29,999 1-99 None
## 5499 <NA> <NA> < 1
## 5500 <NA> <NA> < 1
## 5501 <NA> <NA> < 1
## 5502 50,000-59,999 10,000-99,999 5-10
## 5503 1,000-1,999 100-999 1-2
## 5504 10,000-14,999 100-999 1-2
## 5505 4,000-4,999 0 < 1
## 5506 40,000-49,999 0 10-20
## 5507 15,000-19,999 0 < 1
## 5508 1,000-1,999 100-999 1-2
## 5509 5,000-7,499 1000-9,999 1-2
## 5510 30,000-39,999 100-999 1-2
## 5511 20,000-24,999 1-99 1-2
## 5512 3,000-3,999 100-999 < 1
## 5513 <NA> <NA> 1-2
## 5514 <NA> <NA> None
## 5515 0-999 0 None
## 5516 30,000-39,999 0 3-5
## 5517 0-999 0 < 1
## 5518 0-999 0 1-2
## 5519 50,000-59,999 10,000-99,999 5-10
## 5520 30,000-39,999 100-999 3-5
## 5521 4,000-4,999 100-999 < 1
## 5522 2,000-2,999 100-999 3-5
## 5523 25,000-29,999 100-999 3-5
## 5524 <NA> <NA> None
## 5525 15,000-19,999 0 3-5
## 5526 40,000-49,999 10,000-99,999 10-20
## 5527 <NA> <NA> 10-20
## 5528 0-999 1-99 < 1
## 5529 <NA> <NA> < 1
## 5530 50,000-59,999 100-999 1-2
## 5531 <NA> <NA> None
## 5532 <NA> <NA> < 1
## 5533 100,000-124,999 > 100,000 20+
## 5534 0-999 1-99 None
## 5535 4,000-4,999 1-99 3-5
## 5536 80,000-89,999 0 10-20
## 5537 2,000-2,999 1-99 3-5
## 5538 20,000-24,999 100-999 3-5
## 5539 <NA> <NA> None
## 5540 <NA> <NA> < 1
## 5541 30,000-39,999 1000-9,999 None
## 5542 4,000-4,999 10,000-99,999 < 1
## 5543 20,000-24,999 > 100,000 None
## 5544 2,000-2,999 100-999 1-2
## 5545 2,000-2,999 1000-9,999 None
## 5546 <NA> <NA> < 1
## 5547 100,000-124,999 0 1-2
## 5548 125,000-149,999 0 None
## 5549 5,000-7,499 0 < 1
## 5550 15,000-19,999 1000-9,999 3-5
## 5551 50,000-59,999 100-999 3-5
## 5552 <NA> <NA> 1-2
## 5553 100,000-124,999 0 20+
## 5554 <NA> <NA> None
## 5555 0-999 1-99 < 1
## 5556 <NA> <NA> 1-2
## 5557 125,000-149,999 0 3-5
## 5558 125,000-149,999 0 10-20
## 5559 50,000-59,999 100-999 3-5
## 5560 <NA> <NA> 1-2
## 5561 <NA> <NA> < 1
## 5562 50,000-59,999 0 1-2
## 5563 1,000-1,999 100-999 < 1
## 5564 <NA> <NA> < 1
## 5565 50,000-59,999 1000-9,999 3-5
## 5566 0-999 0 1-2
## 5567 10,000-14,999 1000-9,999 3-5
## 5568 <NA> <NA> 1-2
## 5569 <NA> <NA> 10-20
## 5570 30,000-39,999 0 None
## 5571 <NA> <NA> 1-2
## 5572 50,000-59,999 10,000-99,999 3-5
## 5573 100,000-124,999 10,000-99,999 10-20
## 5574 15,000-19,999 0 10-20
## 5575 3,000-3,999 0 1-2
## 5576 70,000-79,999 10,000-99,999 1-2
## 5577 50,000-59,999 1000-9,999 5-10
## 5578 <NA> <NA> < 1
## 5579 <NA> <NA> 1-2
## 5580 20,000-24,999 0 3-5
## 5581 40,000-49,999 0 3-5
## 5582 15,000-19,999 100-999 < 1
## 5583 <NA> <NA> < 1
## 5584 <NA> <NA> 1-2
## 5585 25,000-29,999 10,000-99,999 3-5
## 5586 30,000-39,999 > 100,000 5-10
## 5587 0-999 100-999 3-5
## 5588 15,000-19,999 0 3-5
## 5589 125,000-149,999 100-999 10-20
## 5590 4,000-4,999 0 None
## 5591 40,000-49,999 0 1-2
## 5592 <NA> <NA> 1-2
## 5593 60,000-69,999 10,000-99,999 3-5
## 5594 <NA> <NA> None
## 5595 125,000-149,999 100-999 5-10
## 5596 70,000-79,999 10,000-99,999 10-20
## 5597 50,000-59,999 100-999 < 1
## 5598 <NA> <NA> 10-20
## 5599 <NA> <NA> 1-2
## 5600 80,000-89,999 0 5-10
## 5601 <NA> <NA> None
## 5602 60,000-69,999 1000-9,999 10-20
## 5603 0-999 100-999 10-20
## 5604 40,000-49,999 10,000-99,999 3-5
## 5605 <NA> <NA> < 1
## 5606 25,000-29,999 0 None
## 5607 30,000-39,999 0 1-2
## 5608 <NA> <NA> 3-5
## 5609 0-999 0 1-2
## 5610 80,000-89,999 1-99 10-20
## 5611 30,000-39,999 1-99 10-20
## 5612 <NA> <NA> < 1
## 5613 50,000-59,999 0 5-10
## 5614 25,000-29,999 100-999 < 1
## 5615 50,000-59,999 1-99 3-5
## 5616 0-999 1-99 < 1
## 5617 <NA> <NA> < 1
## 5618 <NA> <NA> 5-10
## 5619 <NA> <NA> 1-2
## 5620 1,000-1,999 1-99 1-2
## 5621 <NA> <NA> 1-2
## 5622 25,000-29,999 1-99 None
## 5623 5,000-7,499 1000-9,999 20+
## 5624 <NA> <NA> < 1
## 5625 80,000-89,999 1000-9,999 5-10
## 5626 15,000-19,999 1-99 < 1
## 5627 25,000-29,999 100-999 3-5
## 5628 90,000-99,999 1000-9,999 3-5
## 5629 60,000-69,999 1-99 5-10
## 5630 <NA> <NA> 5-10
## 5631 70,000-79,999 1-99 20+
## 5632 <NA> <NA> < 1
## 5633 4,000-4,999 100-999 < 1
## 5634 125,000-149,999 100-999 20+
## 5635 100,000-124,999 1000-9,999 3-5
## 5636 <NA> <NA> < 1
## 5637 <NA> <NA> < 1
## 5638 100,000-124,999 0 5-10
## 5639 25,000-29,999 10,000-99,999 3-5
## 5640 15,000-19,999 1000-9,999 1-2
## 5641 0-999 0 1-2
## 5642 20,000-24,999 0 3-5
## 5643 <NA> <NA> 1-2
## 5644 <NA> <NA> 1-2
## 5645 0-999 1000-9,999 1-2
## 5646 20,000-24,999 10,000-99,999 1-2
## 5647 80,000-89,999 0 < 1
## 5648 <NA> <NA> 1-2
## 5649 <NA> <NA> 5-10
## 5650 <NA> <NA> < 1
## 5651 100,000-124,999 10,000-99,999 10-20
## 5652 5,000-7,499 1-99 1-2
## 5653 <NA> <NA> 1-2
## 5654 2,000-2,999 0 1-2
## 5655 60,000-69,999 100-999 < 1
## 5656 100,000-124,999 100-999 None
## 5657 <NA> <NA> 5-10
## 5658 <NA> <NA> < 1
## 5659 60,000-69,999 0 10-20
## 5660 5,000-7,499 0 3-5
## 5661 5,000-7,499 0 1-2
## 5662 10,000-14,999 0 < 1
## 5663 70,000-79,999 0 20+
## 5664 40,000-49,999 > 100,000 10-20
## 5665 30,000-39,999 > 100,000 5-10
## 5666 <NA> <NA> < 1
## 5667 2,000-2,999 1000-9,999 1-2
## 5668 80,000-89,999 1-99 None
## 5669 125,000-149,999 1000-9,999 10-20
## 5670 0-999 1-99 1-2
## 5671 1,000-1,999 100-999 < 1
## 5672 <NA> <NA> < 1
## 5673 7,500-9,999 1000-9,999 3-5
## 5674 150,000-199,999 10,000-99,999 20+
## 5675 70,000-79,999 1-99 5-10
## 5676 30,000-39,999 10,000-99,999 < 1
## 5677 <NA> <NA> < 1
## 5678 40,000-49,999 1000-9,999 3-5
## 5679 100,000-124,999 1000-9,999 5-10
## 5680 <NA> <NA> 1-2
## 5681 <NA> <NA> <NA>
## 5682 0-999 1-99 1-2
## 5683 15,000-19,999 100-999 1-2
## 5684 125,000-149,999 0 1-2
## 5685 1,000-1,999 0 < 1
## 5686 <NA> <NA> 1-2
## 5687 90,000-99,999 10,000-99,999 3-5
## 5688 20,000-24,999 1000-9,999 3-5
## 5689 0-999 1000-9,999 None
## 5690 10,000-14,999 0 3-5
## 5691 1,000-1,999 0 5-10
## 5692 60,000-69,999 100-999 1-2
## 5693 <NA> <NA> < 1
## 5694 <NA> <NA> 3-5
## 5695 60,000-69,999 0 < 1
## 5696 5,000-7,499 0 1-2
## 5697 10,000-14,999 1000-9,999 3-5
## 5698 20,000-24,999 10,000-99,999 1-2
## 5699 70,000-79,999 10,000-99,999 3-5
## 5700 10,000-14,999 10,000-99,999 3-5
## 5701 <NA> <NA> 3-5
## 5702 10,000-14,999 1-99 < 1
## 5703 <NA> <NA> < 1
## 5704 1,000-1,999 0 < 1
## 5705 50,000-59,999 0 1-2
## 5706 4,000-4,999 1-99 3-5
## 5707 15,000-19,999 0 < 1
## 5708 30,000-39,999 > 100,000 10-20
## 5709 100,000-124,999 10,000-99,999 5-10
## 5710 60,000-69,999 100-999 1-2
## 5711 125,000-149,999 1000-9,999 5-10
## 5712 0-999 0 < 1
## 5713 1,000-1,999 100-999 1-2
## 5714 90,000-99,999 > 100,000 < 1
## 5715 30,000-39,999 10,000-99,999 3-5
## 5716 80,000-89,999 10,000-99,999 5-10
## 5717 5,000-7,499 1-99 1-2
## 5718 20,000-24,999 0 1-2
## 5719 150,000-199,999 1000-9,999 1-2
## 5720 <NA> <NA> < 1
## 5721 <NA> <NA> < 1
## 5722 10,000-14,999 100-999 3-5
## 5723 10,000-14,999 100-999 5-10
## 5724 0-999 0 None
## 5725 <NA> <NA> 5-10
## 5726 <NA> <NA> < 1
## 5727 10,000-14,999 100-999 1-2
## 5728 <NA> <NA> 1-2
## 5729 10,000-14,999 1000-9,999 10-20
## 5730 40,000-49,999 > 100,000 5-10
## 5731 90,000-99,999 100-999 None
## 5732 <NA> <NA> 1-2
## 5733 70,000-79,999 1000-9,999 3-5
## 5734 0-999 1-99 None
## 5735 70,000-79,999 0 1-2
## 5736 10,000-14,999 1-99 3-5
## 5737 1,000-1,999 1000-9,999 1-2
## 5738 5,000-7,499 0 < 1
## 5739 100,000-124,999 > 100,000 5-10
## 5740 1,000-1,999 0 3-5
## 5741 20,000-24,999 100-999 3-5
## 5742 <NA> <NA> < 1
## 5743 125,000-149,999 10,000-99,999 5-10
## 5744 0-999 0 None
## 5745 <NA> <NA> < 1
## 5746 3,000-3,999 0 1-2
## 5747 <NA> <NA> 1-2
## 5748 <NA> <NA> 1-2
## 5749 40,000-49,999 1-99 5-10
## 5750 7,500-9,999 1000-9,999 < 1
## 5751 <NA> <NA> 3-5
## 5752 2,000-2,999 100-999 < 1
## 5753 5,000-7,499 0 None
## 5754 25,000-29,999 0 None
## 5755 <NA> <NA> < 1
## 5756 <NA> <NA> 1-2
## 5757 1,000-1,999 1000-9,999 3-5
## 5758 25,000-29,999 0 5-10
## 5759 10,000-14,999 1000-9,999 1-2
## 5760 <NA> <NA> < 1
## 5761 <NA> <NA> 1-2
## 5762 125,000-149,999 > 100,000 1-2
## 5763 <NA> <NA> < 1
## 5764 <NA> <NA> 5-10
## 5765 10,000-14,999 10,000-99,999 3-5
## 5766 125,000-149,999 10,000-99,999 1-2
## 5767 70,000-79,999 > 100,000 1-2
## 5768 <NA> <NA> None
## 5769 <NA> <NA> < 1
## 5770 40,000-49,999 0 20+
## 5771 0-999 0 1-2
## 5772 20,000-24,999 100-999 5-10
## 5773 150,000-199,999 > 100,000 10-20
## 5774 1,000-1,999 0 1-2
## 5775 4,000-4,999 0 None
## 5776 1,000-1,999 100-999 3-5
## 5777 20,000-24,999 > 100,000 5-10
## 5778 10,000-14,999 0 1-2
## 5779 <NA> <NA> < 1
## 5780 20,000-24,999 0 3-5
## 5781 30,000-39,999 1-99 1-2
## 5782 30,000-39,999 > 100,000 < 1
## 5783 20,000-24,999 0 5-10
## 5784 150,000-199,999 > 100,000 5-10
## 5785 <NA> <NA> < 1
## 5786 10,000-14,999 0 None
## 5787 <NA> <NA> < 1
## 5788 20,000-24,999 0 < 1
## 5789 2,000-2,999 1-99 1-2
## 5790 <NA> <NA> 1-2
## 5791 125,000-149,999 1000-9,999 5-10
## 5792 <NA> <NA> 1-2
## 5793 <NA> <NA> 1-2
## 5794 7,500-9,999 1-99 1-2
## 5795 30,000-39,999 100-999 5-10
## 5796 0-999 1000-9,999 5-10
## 5797 <NA> <NA> 3-5
## 5798 50,000-59,999 10,000-99,999 5-10
## 5799 10,000-14,999 1000-9,999 10-20
## 5800 40,000-49,999 1-99 3-5
## 5801 60,000-69,999 100-999 5-10
## 5802 <NA> <NA> < 1
## 5803 <NA> <NA> < 1
## 5804 2,000-2,999 1000-9,999 1-2
## 5805 10,000-14,999 0 1-2
## 5806 100,000-124,999 1000-9,999 1-2
## 5807 25,000-29,999 10,000-99,999 3-5
## 5808 50,000-59,999 10,000-99,999 20+
## 5809 15,000-19,999 100-999 3-5
## 5810 125,000-149,999 > 100,000 5-10
## 5811 5,000-7,499 1-99 1-2
## 5812 <NA> <NA> 1-2
## 5813 150,000-199,999 10,000-99,999 3-5
## 5814 30,000-39,999 1000-9,999 5-10
## 5815 0-999 1-99 5-10
## 5816 10,000-14,999 1000-9,999 20+
## 5817 7,500-9,999 1-99 < 1
## 5818 > 500,000 > 100,000 20+
## 5819 <NA> <NA> < 1
## 5820 100,000-124,999 1000-9,999 3-5
## 5821 40,000-49,999 > 100,000 < 1
## 5822 0-999 1-99 1-2
## 5823 20,000-24,999 1000-9,999 1-2
## 5824 1,000-1,999 > 100,000 < 1
## 5825 5,000-7,499 1-99 1-2
## 5826 100,000-124,999 1000-9,999 3-5
## 5827 10,000-14,999 0 3-5
## 5828 50,000-59,999 1-99 3-5
## 5829 15,000-19,999 0 < 1
## 5830 150,000-199,999 0 3-5
## 5831 20,000-24,999 100-999 1-2
## 5832 <NA> <NA> 5-10
## 5833 <NA> <NA> 1-2
## 5834 30,000-39,999 1000-9,999 3-5
## 5835 <NA> <NA> 3-5
## 5836 300,000-500,000 > 100,000 10-20
## 5837 40,000-49,999 0 10-20
## 5838 20,000-24,999 0 3-5
## 5839 10,000-14,999 100-999 1-2
## 5840 5,000-7,499 1000-9,999 < 1
## 5841 3,000-3,999 1-99 10-20
## 5842 90,000-99,999 10,000-99,999 5-10
## 5843 200,000-249,999 0 20+
## 5844 90,000-99,999 1000-9,999 1-2
## 5845 125,000-149,999 1000-9,999 20+
## 5846 5,000-7,499 1000-9,999 1-2
## 5847 200,000-249,999 > 100,000 10-20
## 5848 <NA> <NA> < 1
## 5849 30,000-39,999 0 5-10
## 5850 <NA> <NA> 3-5
## 5851 <NA> <NA> < 1
## 5852 60,000-69,999 100-999 3-5
## 5853 40,000-49,999 10,000-99,999 5-10
## 5854 125,000-149,999 0 20+
## 5855 <NA> <NA> < 1
## 5856 <NA> <NA> < 1
## 5857 20,000-24,999 100-999 < 1
## 5858 10,000-14,999 100-999 1-2
## 5859 <NA> <NA> < 1
## 5860 2,000-2,999 100-999 3-5
## 5861 90,000-99,999 > 100,000 5-10
## 5862 10,000-14,999 0 3-5
## 5863 > 500,000 > 100,000 20+
## 5864 1,000-1,999 1000-9,999 1-2
## 5865 <NA> <NA> 1-2
## 5866 100,000-124,999 1000-9,999 10-20
## 5867 <NA> <NA> 3-5
## 5868 10,000-14,999 10,000-99,999 10-20
## 5869 <NA> <NA> < 1
## 5870 50,000-59,999 1000-9,999 5-10
## 5871 80,000-89,999 0 5-10
## 5872 100,000-124,999 > 100,000 1-2
## 5873 30,000-39,999 0 5-10
## 5874 <NA> <NA> 3-5
## 5875 60,000-69,999 1000-9,999 3-5
## 5876 10,000-14,999 1-99 1-2
## 5877 0-999 10,000-99,999 10-20
## 5878 100,000-124,999 0 5-10
## 5879 20,000-24,999 1-99 < 1
## 5880 4,000-4,999 1-99 < 1
## 5881 1,000-1,999 1000-9,999 1-2
## 5882 5,000-7,499 0 1-2
## 5883 0-999 1-99 3-5
## 5884 200,000-249,999 > 100,000 3-5
## 5885 0-999 0 5-10
## 5886 <NA> <NA> 3-5
## 5887 70,000-79,999 > 100,000 20+
## 5888 30,000-39,999 100-999 3-5
## 5889 150,000-199,999 > 100,000 3-5
## 5890 50,000-59,999 1000-9,999 5-10
## 5891 60,000-69,999 0 1-2
## 5892 70,000-79,999 0 3-5
## 5893 30,000-39,999 1000-9,999 1-2
## 5894 100,000-124,999 0 1-2
## 5895 4,000-4,999 0 5-10
## 5896 <NA> <NA> < 1
## 5897 <NA> <NA> < 1
## 5898 25,000-29,999 1000-9,999 3-5
## 5899 <NA> <NA> < 1
## 5900 70,000-79,999 > 100,000 5-10
## 5901 0-999 0 < 1
## 5902 70,000-79,999 100-999 5-10
## 5903 <NA> <NA> None
## 5904 50,000-59,999 0 None
## 5905 <NA> <NA> < 1
## 5906 80,000-89,999 1000-9,999 1-2
## 5907 20,000-24,999 100-999 1-2
## 5908 30,000-39,999 100-999 3-5
## 5909 3,000-3,999 1-99 1-2
## 5910 150,000-199,999 1-99 3-5
## 5911 50,000-59,999 0 < 1
## 5912 30,000-39,999 0 5-10
## 5913 60,000-69,999 10,000-99,999 5-10
## 5914 1,000-1,999 1000-9,999 10-20
## 5915 40,000-49,999 1-99 3-5
## 5916 100,000-124,999 > 100,000 10-20
## 5917 125,000-149,999 > 100,000 10-20
## 5918 70,000-79,999 10,000-99,999 10-20
## 5919 150,000-199,999 1000-9,999 5-10
## 5920 125,000-149,999 10,000-99,999 5-10
## 5921 30,000-39,999 > 100,000 5-10
## 5922 60,000-69,999 0 3-5
## 5923 0-999 1-99 1-2
## 5924 <NA> <NA> < 1
## 5925 40,000-49,999 1000-9,999 10-20
## 5926 <NA> <NA> < 1
## 5927 150,000-199,999 1000-9,999 5-10
## 5928 <NA> <NA> 1-2
## 5929 150,000-199,999 1000-9,999 20+
## 5930 60,000-69,999 1000-9,999 1-2
## 5931 125,000-149,999 1-99 10-20
## 5932 60,000-69,999 1000-9,999 10-20
## 5933 50,000-59,999 1000-9,999 3-5
## 5934 100,000-124,999 > 100,000 10-20
## 5935 100,000-124,999 > 100,000 3-5
## 5936 70,000-79,999 1-99 1-2
## 5937 125,000-149,999 > 100,000 10-20
## 5938 50,000-59,999 0 5-10
## 5939 <NA> <NA> 1-2
## 5940 40,000-49,999 1000-9,999 < 1
## 5941 <NA> <NA> < 1
## 5942 20,000-24,999 100-999 1-2
## 5943 3,000-3,999 1-99 < 1
## 5944 70,000-79,999 0 3-5
## 5945 <NA> <NA> 1-2
## 5946 40,000-49,999 1-99 5-10
## 5947 125,000-149,999 0 5-10
## 5948 150,000-199,999 1000-9,999 3-5
## 5949 <NA> <NA> < 1
## 5950 0-999 1000-9,999 10-20
## 5951 5,000-7,499 1000-9,999 3-5
## 5952 50,000-59,999 0 5-10
## 5953 70,000-79,999 10,000-99,999 3-5
## 5954 70,000-79,999 0 5-10
## 5955 80,000-89,999 0 1-2
## 5956 0-999 0 1-2
## 5957 50,000-59,999 100-999 20+
## 5958 150,000-199,999 > 100,000 3-5
## 5959 <NA> <NA> 3-5
## 5960 80,000-89,999 100-999 1-2
## 5961 200,000-249,999 10,000-99,999 20+
## 5962 70,000-79,999 100-999 1-2
## 5963 0-999 1-99 1-2
## 5964 70,000-79,999 1000-9,999 10-20
## 5965 <NA> <NA> 1-2
## 5966 150,000-199,999 > 100,000 10-20
## 5967 125,000-149,999 1000-9,999 5-10
## 5968 15,000-19,999 1-99 5-10
## 5969 4,000-4,999 0 < 1
## 5970 2,000-2,999 100-999 3-5
## 5971 70,000-79,999 0 1-2
## 5972 100,000-124,999 0 10-20
## 5973 50,000-59,999 1000-9,999 3-5
## 5974 <NA> <NA> 3-5
## 5975 2,000-2,999 1000-9,999 1-2
## 5976 40,000-49,999 100-999 1-2
## 5977 20,000-24,999 0 < 1
## 5978 125,000-149,999 0 5-10
## 5979 40,000-49,999 0 1-2
## 5980 <NA> <NA> 5-10
## 5981 10,000-14,999 0 3-5
## 5982 100,000-124,999 0 3-5
## 5983 70,000-79,999 1000-9,999 5-10
## 5984 0-999 100-999 3-5
## 5985 125,000-149,999 1-99 10-20
## 5986 40,000-49,999 100-999 < 1
## 5987 0-999 0 < 1
## 5988 100,000-124,999 100-999 3-5
## 5989 5,000-7,499 1000-9,999 3-5
## 5990 100,000-124,999 1000-9,999 5-10
## 5991 50,000-59,999 0 5-10
## 5992 20,000-24,999 0 10-20
## 5993 <NA> <NA> < 1
## 5994 0-999 100-999 1-2
## 5995 5,000-7,499 1000-9,999 5-10
## 5996 <NA> <NA> 1-2
## 5997 80,000-89,999 0 3-5
## 5998 40,000-49,999 100-999 3-5
## 5999 <NA> <NA> < 1
## 6000 <NA> <NA> 3-5
## 6001 <NA> <NA> < 1
## 6002 3,000-3,999 > 100,000 5-10
## 6003 <NA> <NA> < 1
## 6004 40,000-49,999 0 10-20
## 6005 7,500-9,999 0 None
## 6006 80,000-89,999 1000-9,999 3-5
## 6007 <NA> <NA> 1-2
## 6008 100,000-124,999 1000-9,999 10-20
## 6009 4,000-4,999 100-999 1-2
## 6010 3,000-3,999 0 < 1
## 6011 125,000-149,999 0 3-5
## 6012 7,500-9,999 0 None
## 6013 3,000-3,999 100-999 1-2
## 6014 10,000-14,999 > 100,000 3-5
## 6015 <NA> <NA> < 1
## 6016 70,000-79,999 100-999 20+
## 6017 2,000-2,999 100-999 1-2
## 6018 <NA> <NA> 1-2
## 6019 <NA> <NA> 3-5
## 6020 <NA> <NA> None
## 6021 <NA> <NA> < 1
## 6022 0-999 1000-9,999 None
## 6023 0-999 0 None
## 6024 100,000-124,999 10,000-99,999 10-20
## 6025 125,000-149,999 0 20+
## 6026 <NA> <NA> < 1
## 6027 2,000-2,999 1000-9,999 5-10
## 6028 20,000-24,999 > 100,000 5-10
## 6029 80,000-89,999 100-999 5-10
## 6030 5,000-7,499 100-999 1-2
## 6031 90,000-99,999 100-999 3-5
## 6032 <NA> <NA> 1-2
## 6033 100,000-124,999 100-999 5-10
## 6034 <NA> <NA> None
## 6035 0-999 1-99 1-2
## 6036 20,000-24,999 0 1-2
## 6037 10,000-14,999 1-99 1-2
## 6038 <NA> <NA> 1-2
## 6039 15,000-19,999 100-999 < 1
## 6040 <NA> <NA> 1-2
## 6041 <NA> <NA> 1-2
## 6042 0-999 1-99 < 1
## 6043 <NA> <NA> < 1
## 6044 100,000-124,999 > 100,000 10-20
## 6045 90,000-99,999 10,000-99,999 5-10
## 6046 <NA> <NA> < 1
## 6047 0-999 0 None
## 6048 60,000-69,999 0 10-20
## 6049 1,000-1,999 1000-9,999 1-2
## 6050 30,000-39,999 1-99 None
## 6051 40,000-49,999 0 1-2
## 6052 25,000-29,999 1000-9,999 3-5
## 6053 5,000-7,499 0 3-5
## 6054 <NA> <NA> < 1
## 6055 0-999 0 < 1
## 6056 <NA> <NA> None
## 6057 2,000-2,999 10,000-99,999 < 1
## 6058 1,000-1,999 0 3-5
## 6059 15,000-19,999 10,000-99,999 1-2
## 6060 1,000-1,999 0 1-2
## 6061 <NA> <NA> < 1
## 6062 25,000-29,999 0 5-10
## 6063 5,000-7,499 1-99 10-20
## 6064 7,500-9,999 > 100,000 1-2
## 6065 30,000-39,999 1000-9,999 5-10
## 6066 90,000-99,999 100-999 10-20
## 6067 50,000-59,999 1000-9,999 10-20
## 6068 1,000-1,999 0 None
## 6069 <NA> <NA> < 1
## 6070 40,000-49,999 100-999 10-20
## 6071 0-999 0 < 1
## 6072 70,000-79,999 10,000-99,999 3-5
## 6073 <NA> <NA> < 1
## 6074 40,000-49,999 10,000-99,999 1-2
## 6075 <NA> <NA> < 1
## 6076 <NA> <NA> < 1
## 6077 90,000-99,999 100-999 10-20
## 6078 <NA> <NA> 3-5
## 6079 200,000-249,999 0 20+
## 6080 40,000-49,999 10,000-99,999 5-10
## 6081 50,000-59,999 0 3-5
## 6082 50,000-59,999 > 100,000 5-10
## 6083 <NA> <NA> None
## 6084 30,000-39,999 100-999 3-5
## 6085 <NA> <NA> < 1
## 6086 <NA> <NA> < 1
## 6087 <NA> <NA> 1-2
## 6088 20,000-24,999 0 5-10
## 6089 10,000-14,999 0 < 1
## 6090 30,000-39,999 0 1-2
## 6091 25,000-29,999 100-999 3-5
## 6092 <NA> <NA> 1-2
## 6093 <NA> <NA> None
## 6094 1,000-1,999 0 < 1
## 6095 3,000-3,999 0 < 1
## 6096 0-999 0 < 1
## 6097 15,000-19,999 0 1-2
## 6098 25,000-29,999 0 < 1
## 6099 <NA> <NA> 1-2
## 6100 0-999 0 < 1
## 6101 100,000-124,999 > 100,000 3-5
## 6102 <NA> <NA> < 1
## 6103 <NA> <NA> 1-2
## 6104 40,000-49,999 100-999 20+
## 6105 25,000-29,999 100-999 3-5
## 6106 <NA> <NA> < 1
## 6107 3,000-3,999 0 < 1
## 6108 <NA> <NA> 3-5
## 6109 10,000-14,999 100-999 1-2
## 6110 0-999 1-99 None
## 6111 80,000-89,999 10,000-99,999 5-10
## 6112 <NA> <NA> < 1
## 6113 125,000-149,999 10,000-99,999 20+
## 6114 0-999 0 1-2
## 6115 150,000-199,999 10,000-99,999 3-5
## 6116 0-999 1000-9,999 < 1
## 6117 200,000-249,999 0 5-10
## 6118 5,000-7,499 1000-9,999 1-2
## 6119 7,500-9,999 1-99 1-2
## 6120 10,000-14,999 1000-9,999 3-5
## 6121 4,000-4,999 1000-9,999 < 1
## 6122 <NA> <NA> < 1
## 6123 <NA> <NA> 1-2
## 6124 0-999 0 None
## 6125 40,000-49,999 100-999 < 1
## 6126 80,000-89,999 > 100,000 3-5
## 6127 3,000-3,999 1000-9,999 < 1
## 6128 200,000-249,999 > 100,000 20+
## 6129 70,000-79,999 1000-9,999 3-5
## 6130 40,000-49,999 1-99 3-5
## 6131 100,000-124,999 10,000-99,999 5-10
## 6132 <NA> <NA> < 1
## 6133 10,000-14,999 0 < 1
## 6134 10,000-14,999 100-999 1-2
## 6135 80,000-89,999 100-999 10-20
## 6136 <NA> <NA> None
## 6137 150,000-199,999 1000-9,999 20+
## 6138 <NA> <NA> 5-10
## 6139 50,000-59,999 1-99 1-2
## 6140 60,000-69,999 1000-9,999 10-20
## 6141 250,000-299,999 0 5-10
## 6142 150,000-199,999 10,000-99,999 10-20
## 6143 60,000-69,999 1000-9,999 3-5
## 6144 90,000-99,999 1-99 3-5
## 6145 70,000-79,999 100-999 1-2
## 6146 10,000-14,999 0 < 1
## 6147 60,000-69,999 0 1-2
## 6148 70,000-79,999 0 < 1
## 6149 <NA> <NA> 1-2
## 6150 0-999 100-999 < 1
## 6151 90,000-99,999 1000-9,999 10-20
## 6152 70,000-79,999 1000-9,999 < 1
## 6153 4,000-4,999 100-999 < 1
## 6154 25,000-29,999 1000-9,999 5-10
## 6155 150,000-199,999 0 5-10
## 6156 90,000-99,999 10,000-99,999 5-10
## 6157 90,000-99,999 0 3-5
## 6158 3,000-3,999 1-99 1-2
## 6159 4,000-4,999 10,000-99,999 < 1
## 6160 150,000-199,999 10,000-99,999 10-20
## 6161 <NA> <NA> 3-5
## 6162 <NA> <NA> < 1
## 6163 <NA> <NA> 1-2
## 6164 300,000-500,000 > 100,000 20+
## 6165 40,000-49,999 1000-9,999 3-5
## 6166 3,000-3,999 0 3-5
## 6167 10,000-14,999 100-999 3-5
## 6168 125,000-149,999 1000-9,999 1-2
## 6169 <NA> <NA> 3-5
## 6170 125,000-149,999 > 100,000 20+
## 6171 30,000-39,999 100-999 5-10
## 6172 1,000-1,999 0 < 1
## 6173 40,000-49,999 100-999 3-5
## 6174 60,000-69,999 0 < 1
## 6175 1,000-1,999 0 5-10
## 6176 <NA> <NA> < 1
## 6177 60,000-69,999 1-99 5-10
## 6178 15,000-19,999 1-99 1-2
## 6179 <NA> <NA> 3-5
## 6180 <NA> <NA> 5-10
## 6181 40,000-49,999 0 3-5
## 6182 40,000-49,999 1000-9,999 3-5
## 6183 90,000-99,999 100-999 5-10
## 6184 10,000-14,999 0 1-2
## 6185 20,000-24,999 1-99 1-2
## 6186 200,000-249,999 0 5-10
## 6187 50,000-59,999 > 100,000 5-10
## 6188 <NA> <NA> < 1
## 6189 <NA> <NA> None
## 6190 2,000-2,999 1-99 5-10
## 6191 200,000-249,999 100-999 5-10
## 6192 30,000-39,999 > 100,000 1-2
## 6193 20,000-24,999 100-999 3-5
## 6194 15,000-19,999 0 1-2
## 6195 80,000-89,999 0 None
## 6196 70,000-79,999 0 1-2
## 6197 80,000-89,999 0 < 1
## 6198 2,000-2,999 0 < 1
## 6199 70,000-79,999 1000-9,999 10-20
## 6200 4,000-4,999 100-999 3-5
## 6201 <NA> <NA> < 1
## 6202 100,000-124,999 > 100,000 3-5
## 6203 30,000-39,999 1000-9,999 5-10
## 6204 80,000-89,999 10,000-99,999 10-20
## 6205 15,000-19,999 0 3-5
## 6206 <NA> <NA> < 1
## 6207 30,000-39,999 100-999 3-5
## 6208 100,000-124,999 1000-9,999 < 1
## 6209 1,000-1,999 0 1-2
## 6210 5,000-7,499 1-99 1-2
## 6211 50,000-59,999 1-99 1-2
## 6212 150,000-199,999 > 100,000 20+
## 6213 4,000-4,999 1-99 5-10
## 6214 100,000-124,999 1000-9,999 1-2
## 6215 5,000-7,499 100-999 < 1
## 6216 90,000-99,999 0 10-20
## 6217 100,000-124,999 0 3-5
## 6218 5,000-7,499 0 5-10
## 6219 <NA> <NA> 10-20
## 6220 25,000-29,999 0 None
## 6221 50,000-59,999 1000-9,999 1-2
## 6222 90,000-99,999 0 10-20
## 6223 10,000-14,999 1-99 5-10
## 6224 60,000-69,999 100-999 < 1
## 6225 40,000-49,999 0 5-10
## 6226 50,000-59,999 0 5-10
## 6227 100,000-124,999 10,000-99,999 10-20
## 6228 <NA> <NA> 1-2
## 6229 15,000-19,999 10,000-99,999 3-5
## 6230 0-999 100-999 < 1
## 6231 <NA> <NA> None
## 6232 1,000-1,999 1-99 < 1
## 6233 125,000-149,999 10,000-99,999 10-20
## 6234 150,000-199,999 1000-9,999 5-10
## 6235 40,000-49,999 100-999 3-5
## 6236 40,000-49,999 0 10-20
## 6237 2,000-2,999 0 1-2
## 6238 100,000-124,999 10,000-99,999 1-2
## 6239 0-999 100-999 None
## 6240 3,000-3,999 > 100,000 5-10
## 6241 <NA> <NA> 1-2
## 6242 100,000-124,999 0 < 1
## 6243 <NA> <NA> 3-5
## 6244 <NA> <NA> 1-2
## 6245 80,000-89,999 0 20+
## 6246 100,000-124,999 1000-9,999 < 1
## 6247 <NA> <NA> 3-5
## 6248 60,000-69,999 1000-9,999 3-5
## 6249 100,000-124,999 100-999 10-20
## 6250 40,000-49,999 100-999 3-5
## 6251 80,000-89,999 0 10-20
## 6252 0-999 100-999 1-2
## 6253 100,000-124,999 1000-9,999 < 1
## 6254 0-999 1-99 3-5
## 6255 2,000-2,999 0 1-2
## 6256 90,000-99,999 10,000-99,999 5-10
## 6257 <NA> <NA> 3-5
## 6258 30,000-39,999 0 3-5
## 6259 150,000-199,999 0 < 1
## 6260 125,000-149,999 1000-9,999 None
## 6261 30,000-39,999 0 5-10
## 6262 90,000-99,999 10,000-99,999 20+
## 6263 80,000-89,999 10,000-99,999 10-20
## 6264 <NA> <NA> 1-2
## 6265 150,000-199,999 > 100,000 5-10
## 6266 30,000-39,999 > 100,000 5-10
## 6267 300,000-500,000 > 100,000 10-20
## 6268 60,000-69,999 1000-9,999 5-10
## 6269 <NA> <NA> < 1
## 6270 80,000-89,999 1000-9,999 5-10
## 6271 <NA> <NA> 10-20
## 6272 <NA> <NA> 3-5
## 6273 10,000-14,999 > 100,000 3-5
## 6274 200,000-249,999 10,000-99,999 10-20
## 6275 3,000-3,999 0 None
## 6276 15,000-19,999 1-99 1-2
## 6277 100,000-124,999 0 3-5
## 6278 150,000-199,999 1000-9,999 5-10
## 6279 25,000-29,999 0 3-5
## 6280 <NA> <NA> 1-2
## 6281 90,000-99,999 0 20+
## 6282 3,000-3,999 0 None
## 6283 80,000-89,999 1000-9,999 5-10
## 6284 90,000-99,999 0 5-10
## 6285 <NA> <NA> < 1
## 6286 70,000-79,999 0 3-5
## 6287 60,000-69,999 1-99 3-5
## 6288 10,000-14,999 1-99 3-5
## 6289 <NA> <NA> < 1
## 6290 7,500-9,999 1000-9,999 1-2
## 6291 <NA> <NA> None
## 6292 150,000-199,999 0 20+
## 6293 50,000-59,999 100-999 None
## 6294 0-999 1000-9,999 1-2
## 6295 <NA> <NA> < 1
## 6296 <NA> <NA> < 1
## 6297 <NA> <NA> None
## 6298 > 500,000 10,000-99,999 3-5
## 6299 5,000-7,499 1000-9,999 1-2
## 6300 10,000-14,999 0 None
## 6301 10,000-14,999 0 3-5
## 6302 125,000-149,999 10,000-99,999 3-5
## 6303 <NA> <NA> < 1
## 6304 20,000-24,999 0 None
## 6305 5,000-7,499 1000-9,999 3-5
## 6306 0-999 100-999 1-2
## 6307 <NA> <NA> 1-2
## 6308 125,000-149,999 > 100,000 3-5
## 6309 100,000-124,999 10,000-99,999 5-10
## 6310 60,000-69,999 0 10-20
## 6311 <NA> <NA> 1-2
## 6312 <NA> <NA> < 1
## 6313 0-999 100-999 < 1
## 6314 15,000-19,999 100-999 1-2
## 6315 <NA> <NA> 1-2
## 6316 50,000-59,999 0 5-10
## 6317 20,000-24,999 0 5-10
## 6318 5,000-7,499 0 < 1
## 6319 30,000-39,999 1-99 3-5
## 6320 60,000-69,999 1000-9,999 3-5
## 6321 30,000-39,999 10,000-99,999 10-20
## 6322 50,000-59,999 1000-9,999 5-10
## 6323 70,000-79,999 0 3-5
## 6324 2,000-2,999 100-999 5-10
## 6325 25,000-29,999 1-99 5-10
## 6326 <NA> <NA> < 1
## 6327 60,000-69,999 0 3-5
## 6328 50,000-59,999 1000-9,999 3-5
## 6329 80,000-89,999 100-999 10-20
## 6330 30,000-39,999 1000-9,999 5-10
## 6331 <NA> <NA> < 1
## 6332 10,000-14,999 0 3-5
## 6333 <NA> <NA> 5-10
## 6334 3,000-3,999 1-99 1-2
## 6335 50,000-59,999 0 5-10
## 6336 70,000-79,999 0 5-10
## 6337 60,000-69,999 10,000-99,999 None
## 6338 <NA> <NA> < 1
## 6339 30,000-39,999 0 1-2
## 6340 10,000-14,999 1000-9,999 1-2
## 6341 50,000-59,999 1-99 < 1
## 6342 10,000-14,999 0 < 1
## 6343 125,000-149,999 1-99 10-20
## 6344 200,000-249,999 10,000-99,999 10-20
## 6345 150,000-199,999 > 100,000 5-10
## 6346 90,000-99,999 100-999 5-10
## 6347 <NA> <NA> 3-5
## 6348 0-999 0 None
## 6349 100,000-124,999 0 20+
## 6350 <NA> <NA> < 1
## 6351 125,000-149,999 > 100,000 1-2
## 6352 90,000-99,999 > 100,000 5-10
## 6353 7,500-9,999 100-999 1-2
## 6354 40,000-49,999 1000-9,999 1-2
## 6355 0-999 0 1-2
## 6356 5,000-7,499 0 1-2
## 6357 0-999 1000-9,999 1-2
## 6358 1,000-1,999 0 None
## 6359 <NA> <NA> 1-2
## 6360 30,000-39,999 1-99 < 1
## 6361 125,000-149,999 1000-9,999 5-10
## 6362 100,000-124,999 > 100,000 3-5
## 6363 2,000-2,999 1000-9,999 10-20
## 6364 3,000-3,999 100-999 1-2
## 6365 <NA> <NA> < 1
## 6366 <NA> <NA> 1-2
## 6367 7,500-9,999 0 1-2
## 6368 70,000-79,999 0 3-5
## 6369 125,000-149,999 > 100,000 3-5
## 6370 40,000-49,999 100-999 5-10
## 6371 4,000-4,999 10,000-99,999 3-5
## 6372 0-999 1-99 1-2
## 6373 0-999 0 < 1
## 6374 20,000-24,999 0 5-10
## 6375 0-999 1-99 < 1
## 6376 10,000-14,999 1-99 1-2
## 6377 70,000-79,999 10,000-99,999 3-5
## 6378 20,000-24,999 100-999 3-5
## 6379 125,000-149,999 1000-9,999 1-2
## 6380 70,000-79,999 100-999 1-2
## 6381 7,500-9,999 10,000-99,999 < 1
## 6382 <NA> <NA> 3-5
## 6383 60,000-69,999 100-999 None
## 6384 100,000-124,999 100-999 5-10
## 6385 7,500-9,999 1000-9,999 < 1
## 6386 150,000-199,999 10,000-99,999 5-10
## 6387 250,000-299,999 10,000-99,999 20+
## 6388 100,000-124,999 10,000-99,999 10-20
## 6389 60,000-69,999 0 < 1
## 6390 <NA> <NA> < 1
## 6391 50,000-59,999 0 5-10
## 6392 20,000-24,999 1-99 3-5
## 6393 10,000-14,999 100-999 3-5
## 6394 0-999 0 < 1
## 6395 5,000-7,499 10,000-99,999 3-5
## 6396 100,000-124,999 10,000-99,999 10-20
## 6397 100,000-124,999 100-999 3-5
## 6398 <NA> <NA> < 1
## 6399 <NA> <NA> None
## 6400 <NA> <NA> < 1
## 6401 15,000-19,999 1000-9,999 3-5
## 6402 150,000-199,999 10,000-99,999 3-5
## 6403 2,000-2,999 100-999 < 1
## 6404 80,000-89,999 1-99 5-10
## 6405 1,000-1,999 100-999 < 1
## 6406 80,000-89,999 100-999 3-5
## 6407 0-999 100-999 10-20
## 6408 25,000-29,999 10,000-99,999 5-10
## 6409 <NA> <NA> 5-10
## 6410 <NA> <NA> 1-2
## 6411 0-999 100-999 < 1
## 6412 50,000-59,999 0 1-2
## 6413 20,000-24,999 1000-9,999 3-5
## 6414 25,000-29,999 10,000-99,999 10-20
## 6415 3,000-3,999 1000-9,999 5-10
## 6416 3,000-3,999 0 3-5
## 6417 <NA> <NA> < 1
## 6418 0-999 1000-9,999 3-5
## 6419 0-999 100-999 5-10
## 6420 30,000-39,999 1-99 3-5
## 6421 7,500-9,999 0 < 1
## 6422 70,000-79,999 0 10-20
## 6423 10,000-14,999 100-999 5-10
## 6424 <NA> <NA> 3-5
## 6425 3,000-3,999 1-99 3-5
## 6426 10,000-14,999 0 < 1
## 6427 0-999 0 3-5
## 6428 20,000-24,999 10,000-99,999 10-20
## 6429 40,000-49,999 0 5-10
## 6430 90,000-99,999 1000-9,999 5-10
## 6431 <NA> <NA> < 1
## 6432 125,000-149,999 1000-9,999 3-5
## 6433 0-999 0 < 1
## 6434 70,000-79,999 1-99 3-5
## 6435 10,000-14,999 0 < 1
## 6436 <NA> <NA> None
## 6437 125,000-149,999 10,000-99,999 5-10
## 6438 > 500,000 0 5-10
## 6439 0-999 100-999 3-5
## 6440 80,000-89,999 100-999 1-2
## 6441 <NA> <NA> < 1
## 6442 0-999 0 1-2
## 6443 20,000-24,999 10,000-99,999 3-5
## 6444 100,000-124,999 > 100,000 5-10
## 6445 300,000-500,000 10,000-99,999 10-20
## 6446 1,000-1,999 0 < 1
## 6447 20,000-24,999 0 < 1
## 6448 70,000-79,999 100-999 < 1
## 6449 7,500-9,999 1-99 1-2
## 6450 3,000-3,999 0 None
## 6451 <NA> <NA> None
## 6452 <NA> <NA> None
## 6453 20,000-24,999 > 100,000 3-5
## 6454 <NA> <NA> < 1
## 6455 <NA> <NA> 1-2
## 6456 <NA> <NA> 1-2
## 6457 5,000-7,499 1-99 1-2
## 6458 <NA> <NA> 3-5
## 6459 <NA> <NA> < 1
## 6460 <NA> <NA> < 1
## 6461 30,000-39,999 0 3-5
## 6462 20,000-24,999 0 3-5
## 6463 <NA> <NA> None
## 6464 0-999 0 10-20
## 6465 <NA> <NA> < 1
## 6466 0-999 0 1-2
## 6467 150,000-199,999 0 < 1
## 6468 30,000-39,999 10,000-99,999 1-2
## 6469 7,500-9,999 0 3-5
## 6470 10,000-14,999 0 5-10
## 6471 15,000-19,999 1-99 None
## 6472 <NA> <NA> < 1
## 6473 40,000-49,999 0 None
## 6474 <NA> <NA> 1-2
## 6475 200,000-249,999 > 100,000 5-10
## 6476 1,000-1,999 1000-9,999 < 1
## 6477 60,000-69,999 0 5-10
## 6478 20,000-24,999 > 100,000 1-2
## 6479 90,000-99,999 10,000-99,999 5-10
## 6480 <NA> <NA> < 1
## 6481 40,000-49,999 0 1-2
## 6482 7,500-9,999 0 < 1
## 6483 5,000-7,499 10,000-99,999 1-2
## 6484 70,000-79,999 100-999 5-10
## 6485 3,000-3,999 1000-9,999 1-2
## 6486 20,000-24,999 1000-9,999 3-5
## 6487 <NA> <NA> 1-2
## 6488 150,000-199,999 0 10-20
## 6489 30,000-39,999 1000-9,999 1-2
## 6490 60,000-69,999 1000-9,999 3-5
## 6491 90,000-99,999 100-999 5-10
## 6492 150,000-199,999 1-99 10-20
## 6493 50,000-59,999 0 None
## 6494 125,000-149,999 1000-9,999 3-5
## 6495 <NA> <NA> 3-5
## 6496 <NA> <NA> < 1
## 6497 90,000-99,999 1000-9,999 5-10
## 6498 <NA> <NA> < 1
## 6499 50,000-59,999 0 3-5
## 6500 <NA> <NA> 1-2
## 6501 20,000-24,999 0 3-5
## 6502 25,000-29,999 100-999 3-5
## 6503 125,000-149,999 100-999 1-2
## 6504 <NA> <NA> 1-2
## 6505 2,000-2,999 1000-9,999 5-10
## 6506 60,000-69,999 1000-9,999 3-5
## 6507 70,000-79,999 10,000-99,999 20+
## 6508 <NA> <NA> < 1
## 6509 40,000-49,999 0 1-2
## 6510 1,000-1,999 100-999 < 1
## 6511 100,000-124,999 0 5-10
## 6512 100,000-124,999 0 None
## 6513 0-999 1-99 3-5
## 6514 7,500-9,999 0 1-2
## 6515 10,000-14,999 0 1-2
## 6516 <NA> <NA> < 1
## 6517 20,000-24,999 10,000-99,999 5-10
## 6518 125,000-149,999 > 100,000 5-10
## 6519 100,000-124,999 1000-9,999 10-20
## 6520 <NA> <NA> 1-2
## 6521 1,000-1,999 0 3-5
## 6522 50,000-59,999 10,000-99,999 5-10
## 6523 20,000-24,999 0 1-2
## 6524 40,000-49,999 1000-9,999 5-10
## 6525 <NA> <NA> 1-2
## 6526 80,000-89,999 1-99 10-20
## 6527 4,000-4,999 0 < 1
## 6528 50,000-59,999 0 10-20
## 6529 60,000-69,999 1000-9,999 5-10
## 6530 30,000-39,999 0 3-5
## 6531 30,000-39,999 1000-9,999 5-10
## 6532 <NA> <NA> 3-5
## 6533 30,000-39,999 0 3-5
## 6534 <NA> <NA> < 1
## 6535 70,000-79,999 > 100,000 10-20
## 6536 0-999 1000-9,999 3-5
## 6537 10,000-14,999 1000-9,999 1-2
## 6538 300,000-500,000 1-99 < 1
## 6539 <NA> <NA> 1-2
## 6540 60,000-69,999 1000-9,999 5-10
## 6541 40,000-49,999 0 1-2
## 6542 <NA> <NA> 1-2
## 6543 150,000-199,999 1000-9,999 1-2
## 6544 7,500-9,999 1000-9,999 < 1
## 6545 50,000-59,999 100-999 < 1
## 6546 30,000-39,999 0 5-10
## 6547 0-999 100-999 < 1
## 6548 10,000-14,999 > 100,000 5-10
## 6549 15,000-19,999 1-99 < 1
## 6550 <NA> <NA> < 1
## 6551 10,000-14,999 0 3-5
## 6552 0-999 1000-9,999 1-2
## 6553 20,000-24,999 0 5-10
## 6554 5,000-7,499 1-99 1-2
## 6555 1,000-1,999 1000-9,999 3-5
## 6556 30,000-39,999 100-999 5-10
## 6557 <NA> <NA> 1-2
## 6558 10,000-14,999 100-999 < 1
## 6559 4,000-4,999 0 < 1
## 6560 <NA> <NA> None
## 6561 80,000-89,999 0 10-20
## 6562 100,000-124,999 100-999 5-10
## 6563 5,000-7,499 1000-9,999 1-2
## 6564 20,000-24,999 0 1-2
## 6565 50,000-59,999 1000-9,999 20+
## 6566 <NA> <NA> 5-10
## 6567 2,000-2,999 100-999 None
## 6568 0-999 0 1-2
## 6569 30,000-39,999 0 None
## 6570 <NA> <NA> < 1
## 6571 7,500-9,999 0 < 1
## 6572 1,000-1,999 0 1-2
## 6573 <NA> <NA> < 1
## 6574 50,000-59,999 1000-9,999 10-20
## 6575 2,000-2,999 1000-9,999 5-10
## 6576 60,000-69,999 1000-9,999 5-10
## 6577 5,000-7,499 0 < 1
## 6578 <NA> <NA> 1-2
## 6579 0-999 1-99 3-5
## 6580 90,000-99,999 100-999 10-20
## 6581 <NA> <NA> None
## 6582 100,000-124,999 1-99 1-2
## 6583 10,000-14,999 1000-9,999 3-5
## 6584 200,000-249,999 0 3-5
## 6585 2,000-2,999 0 3-5
## 6586 40,000-49,999 0 3-5
## 6587 7,500-9,999 0 < 1
## 6588 10,000-14,999 0 < 1
## 6589 40,000-49,999 0 3-5
## 6590 0-999 100-999 < 1
## 6591 70,000-79,999 0 < 1
## 6592 3,000-3,999 1-99 < 1
## 6593 <NA> <NA> 1-2
## 6594 1,000-1,999 1-99 3-5
## 6595 100,000-124,999 10,000-99,999 20+
## 6596 <NA> <NA> 1-2
## 6597 3,000-3,999 100-999 < 1
## 6598 40,000-49,999 100-999 1-2
## 6599 20,000-24,999 0 5-10
## 6600 0-999 1-99 < 1
## 6601 <NA> <NA> < 1
## 6602 80,000-89,999 1-99 3-5
## 6603 15,000-19,999 100-999 < 1
## 6604 0-999 0 < 1
## 6605 30,000-39,999 100-999 3-5
## 6606 1,000-1,999 0 1-2
## 6607 3,000-3,999 100-999 20+
## 6608 25,000-29,999 100-999 5-10
## 6609 0-999 0 5-10
## 6610 50,000-59,999 100-999 3-5
## 6611 30,000-39,999 10,000-99,999 < 1
## 6612 10,000-14,999 10,000-99,999 3-5
## 6613 <NA> <NA> < 1
## 6614 80,000-89,999 0 3-5
## 6615 2,000-2,999 0 1-2
## 6616 40,000-49,999 10,000-99,999 5-10
## 6617 10,000-14,999 0 None
## 6618 3,000-3,999 100-999 1-2
## 6619 90,000-99,999 > 100,000 1-2
## 6620 0-999 100-999 < 1
## 6621 0-999 1000-9,999 < 1
## 6622 15,000-19,999 0 < 1
## 6623 7,500-9,999 100-999 < 1
## 6624 200,000-249,999 1000-9,999 3-5
## 6625 <NA> <NA> 1-2
## 6626 15,000-19,999 1-99 3-5
## 6627 40,000-49,999 1000-9,999 10-20
## 6628 40,000-49,999 100-999 20+
## 6629 <NA> <NA> 1-2
## 6630 <NA> <NA> < 1
## 6631 20,000-24,999 1-99 < 1
## 6632 1,000-1,999 100-999 < 1
## 6633 30,000-39,999 1-99 5-10
## 6634 15,000-19,999 1000-9,999 1-2
## 6635 70,000-79,999 1000-9,999 20+
## 6636 2,000-2,999 1000-9,999 1-2
## 6637 70,000-79,999 10,000-99,999 1-2
## 6638 3,000-3,999 0 1-2
## 6639 10,000-14,999 0 1-2
## 6640 <NA> <NA> 3-5
## 6641 3,000-3,999 100-999 < 1
## 6642 40,000-49,999 > 100,000 1-2
## 6643 1,000-1,999 0 3-5
## 6644 150,000-199,999 1000-9,999 20+
## 6645 25,000-29,999 1000-9,999 5-10
## 6646 70,000-79,999 > 100,000 5-10
## 6647 40,000-49,999 1-99 1-2
## 6648 <NA> <NA> 3-5
## 6649 4,000-4,999 100-999 1-2
## 6650 20,000-24,999 1000-9,999 3-5
## 6651 1,000-1,999 0 1-2
## 6652 70,000-79,999 0 3-5
## 6653 30,000-39,999 100-999 < 1
## 6654 25,000-29,999 1-99 1-2
## 6655 80,000-89,999 0 3-5
## 6656 <NA> <NA> 1-2
## 6657 <NA> <NA> 1-2
## 6658 2,000-2,999 0 1-2
## 6659 50,000-59,999 1000-9,999 10-20
## 6660 80,000-89,999 0 < 1
## 6661 <NA> <NA> 1-2
## 6662 50,000-59,999 100-999 3-5
## 6663 40,000-49,999 0 3-5
## 6664 70,000-79,999 10,000-99,999 10-20
## 6665 4,000-4,999 100-999 1-2
## 6666 125,000-149,999 0 < 1
## 6667 <NA> <NA> < 1
## 6668 0-999 0 < 1
## 6669 300,000-500,000 100-999 3-5
## 6670 0-999 0 < 1
## 6671 15,000-19,999 1-99 < 1
## 6672 100,000-124,999 0 1-2
## 6673 <NA> <NA> < 1
## 6674 <NA> <NA> < 1
## 6675 30,000-39,999 1000-9,999 3-5
## 6676 <NA> <NA> 1-2
## 6677 <NA> <NA> < 1
## 6678 50,000-59,999 0 3-5
## 6679 90,000-99,999 > 100,000 5-10
## 6680 0-999 100-999 3-5
## 6681 <NA> <NA> 1-2
## 6682 40,000-49,999 100-999 1-2
## 6683 <NA> <NA> < 1
## 6684 7,500-9,999 1000-9,999 10-20
## 6685 <NA> <NA> < 1
## 6686 3,000-3,999 100-999 < 1
## 6687 50,000-59,999 > 100,000 10-20
## 6688 50,000-59,999 0 3-5
## 6689 50,000-59,999 > 100,000 3-5
## 6690 <NA> <NA> None
## 6691 25,000-29,999 100-999 < 1
## 6692 125,000-149,999 0 10-20
## 6693 40,000-49,999 0 5-10
## 6694 <NA> <NA> 3-5
## 6695 20,000-24,999 100-999 3-5
## 6696 125,000-149,999 0 3-5
## 6697 0-999 1-99 < 1
## 6698 150,000-199,999 100-999 3-5
## 6699 4,000-4,999 0 3-5
## 6700 80,000-89,999 0 3-5
## 6701 25,000-29,999 0 3-5
## 6702 <NA> <NA> < 1
## 6703 <NA> <NA> None
## 6704 125,000-149,999 1000-9,999 3-5
## 6705 30,000-39,999 1-99 1-2
## 6706 100,000-124,999 0 1-2
## 6707 1,000-1,999 0 1-2
## 6708 <NA> <NA> 1-2
## 6709 40,000-49,999 100-999 3-5
## 6710 <NA> <NA> < 1
## 6711 50,000-59,999 > 100,000 5-10
## 6712 0-999 0 3-5
## 6713 <NA> <NA> None
## 6714 80,000-89,999 10,000-99,999 5-10
## 6715 15,000-19,999 1-99 < 1
## 6716 90,000-99,999 10,000-99,999 None
## 6717 100,000-124,999 0 5-10
## 6718 <NA> <NA> < 1
## 6719 <NA> <NA> None
## 6720 50,000-59,999 10,000-99,999 5-10
## 6721 50,000-59,999 1000-9,999 None
## 6722 125,000-149,999 > 100,000 10-20
## 6723 60,000-69,999 0 5-10
## 6724 10,000-14,999 0 1-2
## 6725 5,000-7,499 0 10-20
## 6726 0-999 0 < 1
## 6727 <NA> <NA> 1-2
## 6728 50,000-59,999 0 1-2
## 6729 <NA> <NA> 1-2
## 6730 <NA> <NA> < 1
## 6731 10,000-14,999 0 3-5
## 6732 1,000-1,999 1-99 5-10
## 6733 <NA> <NA> < 1
## 6734 40,000-49,999 0 3-5
## 6735 <NA> <NA> 20+
## 6736 20,000-24,999 0 3-5
## 6737 50,000-59,999 100-999 3-5
## 6738 <NA> <NA> < 1
## 6739 <NA> <NA> < 1
## 6740 40,000-49,999 1000-9,999 1-2
## 6741 7,500-9,999 1000-9,999 5-10
## 6742 200,000-249,999 0 20+
## 6743 80,000-89,999 0 1-2
## 6744 100,000-124,999 0 3-5
## 6745 80,000-89,999 > 100,000 < 1
## 6746 10,000-14,999 0 3-5
## 6747 2,000-2,999 1-99 1-2
## 6748 30,000-39,999 1-99 10-20
## 6749 4,000-4,999 0 3-5
## 6750 50,000-59,999 0 5-10
## 6751 25,000-29,999 100-999 3-5
## 6752 125,000-149,999 > 100,000 5-10
## 6753 5,000-7,499 100-999 3-5
## 6754 5,000-7,499 0 3-5
## 6755 100,000-124,999 0 1-2
## 6756 125,000-149,999 0 5-10
## 6757 <NA> <NA> < 1
## 6758 60,000-69,999 1-99 3-5
## 6759 1,000-1,999 100-999 3-5
## 6760 100,000-124,999 10,000-99,999 3-5
## 6761 100,000-124,999 1000-9,999 3-5
## 6762 25,000-29,999 1-99 < 1
## 6763 <NA> <NA> None
## 6764 15,000-19,999 0 1-2
## 6765 2,000-2,999 100-999 1-2
## 6766 15,000-19,999 0 < 1
## 6767 <NA> <NA> < 1
## 6768 4,000-4,999 1000-9,999 1-2
## 6769 125,000-149,999 1-99 10-20
## 6770 125,000-149,999 0 5-10
## 6771 25,000-29,999 1000-9,999 1-2
## 6772 25,000-29,999 > 100,000 3-5
## 6773 25,000-29,999 1000-9,999 3-5
## 6774 70,000-79,999 10,000-99,999 10-20
## 6775 0-999 1000-9,999 1-2
## 6776 <NA> <NA> 1-2
## 6777 200,000-249,999 > 100,000 5-10
## 6778 0-999 1-99 < 1
## 6779 20,000-24,999 1000-9,999 3-5
## 6780 20,000-24,999 100-999 None
## 6781 <NA> <NA> 1-2
## 6782 10,000-14,999 1-99 3-5
## 6783 <NA> <NA> < 1
## 6784 <NA> <NA> None
## 6785 60,000-69,999 10,000-99,999 5-10
## 6786 50,000-59,999 0 None
## 6787 <NA> <NA> < 1
## 6788 60,000-69,999 > 100,000 5-10
## 6789 <NA> <NA> < 1
## 6790 <NA> <NA> < 1
## 6791 0-999 0 < 1
## 6792 <NA> <NA> < 1
## 6793 100,000-124,999 1000-9,999 5-10
## 6794 15,000-19,999 100-999 1-2
## 6795 60,000-69,999 0 3-5
## 6796 <NA> <NA> < 1
## 6797 <NA> <NA> < 1
## 6798 40,000-49,999 100-999 < 1
## 6799 0-999 100-999 < 1
## 6800 30,000-39,999 > 100,000 < 1
## 6801 20,000-24,999 1000-9,999 1-2
## 6802 7,500-9,999 100-999 3-5
## 6803 0-999 1000-9,999 3-5
## 6804 5,000-7,499 1000-9,999 1-2
## 6805 250,000-299,999 1000-9,999 10-20
## 6806 60,000-69,999 10,000-99,999 3-5
## 6807 20,000-24,999 100-999 < 1
## 6808 <NA> <NA> < 1
## 6809 0-999 1-99 1-2
## 6810 <NA> <NA> 1-2
## 6811 20,000-24,999 100-999 None
## 6812 90,000-99,999 > 100,000 1-2
## 6813 10,000-14,999 0 3-5
## 6814 40,000-49,999 1-99 3-5
## 6815 <NA> <NA> < 1
## 6816 40,000-49,999 100-999 5-10
## 6817 0-999 0 1-2
## 6818 2,000-2,999 1-99 1-2
## 6819 15,000-19,999 0 1-2
## 6820 2,000-2,999 > 100,000 < 1
## 6821 30,000-39,999 1-99 3-5
## 6822 0-999 1000-9,999 < 1
## 6823 70,000-79,999 > 100,000 5-10
## 6824 50,000-59,999 0 5-10
## 6825 <NA> <NA> 1-2
## 6826 4,000-4,999 1000-9,999 3-5
## 6827 15,000-19,999 0 None
## 6828 <NA> <NA> < 1
## 6829 150,000-199,999 > 100,000 10-20
## 6830 100,000-124,999 1000-9,999 1-2
## 6831 10,000-14,999 100-999 5-10
## 6832 90,000-99,999 0 3-5
## 6833 <NA> <NA> None
## 6834 80,000-89,999 0 1-2
## 6835 30,000-39,999 100-999 None
## 6836 1,000-1,999 1-99 < 1
## 6837 100,000-124,999 10,000-99,999 1-2
## 6838 200,000-249,999 0 3-5
## 6839 5,000-7,499 > 100,000 3-5
## 6840 40,000-49,999 100-999 3-5
## 6841 50,000-59,999 0 < 1
## 6842 3,000-3,999 100-999 3-5
## 6843 <NA> <NA> < 1
## 6844 90,000-99,999 0 3-5
## 6845 10,000-14,999 1000-9,999 3-5
## 6846 2,000-2,999 0 < 1
## 6847 <NA> <NA> < 1
## 6848 2,000-2,999 100-999 1-2
## 6849 40,000-49,999 10,000-99,999 3-5
## 6850 30,000-39,999 10,000-99,999 10-20
## 6851 2,000-2,999 0 < 1
## 6852 50,000-59,999 1-99 5-10
## 6853 <NA> <NA> 1-2
## 6854 <NA> <NA> < 1
## 6855 <NA> <NA> 1-2
## 6856 <NA> <NA> 3-5
## 6857 <NA> <NA> 1-2
## 6858 1,000-1,999 100-999 < 1
## 6859 125,000-149,999 > 100,000 20+
## 6860 <NA> <NA> 3-5
## 6861 90,000-99,999 0 1-2
## 6862 100,000-124,999 10,000-99,999 3-5
## 6863 80,000-89,999 10,000-99,999 1-2
## 6864 <NA> <NA> 3-5
## 6865 90,000-99,999 1000-9,999 5-10
## 6866 150,000-199,999 1000-9,999 10-20
## 6867 <NA> <NA> 1-2
## 6868 5,000-7,499 0 5-10
## 6869 30,000-39,999 100-999 3-5
## 6870 60,000-69,999 > 100,000 3-5
## 6871 <NA> <NA> 1-2
## 6872 15,000-19,999 100-999 3-5
## 6873 90,000-99,999 > 100,000 10-20
## 6874 <NA> <NA> < 1
## 6875 <NA> <NA> < 1
## 6876 7,500-9,999 0 < 1
## 6877 <NA> <NA> < 1
## 6878 <NA> <NA> < 1
## 6879 125,000-149,999 10,000-99,999 5-10
## 6880 90,000-99,999 0 3-5
## 6881 <NA> <NA> 1-2
## 6882 7,500-9,999 10,000-99,999 < 1
## 6883 <NA> <NA> 1-2
## 6884 <NA> <NA> 1-2
## 6885 50,000-59,999 10,000-99,999 3-5
## 6886 125,000-149,999 1000-9,999 3-5
## 6887 40,000-49,999 0 1-2
## 6888 70,000-79,999 100-999 5-10
## 6889 70,000-79,999 0 1-2
## 6890 2,000-2,999 0 < 1
## 6891 30,000-39,999 10,000-99,999 3-5
## 6892 30,000-39,999 0 5-10
## 6893 0-999 1-99 1-2
## 6894 25,000-29,999 1-99 < 1
## 6895 2,000-2,999 1000-9,999 < 1
## 6896 80,000-89,999 10,000-99,999 5-10
## 6897 60,000-69,999 100-999 None
## 6898 > 500,000 0 None
## 6899 30,000-39,999 10,000-99,999 10-20
## 6900 200,000-249,999 > 100,000 1-2
## 6901 50,000-59,999 0 10-20
## 6902 60,000-69,999 1000-9,999 1-2
## 6903 30,000-39,999 10,000-99,999 3-5
## 6904 90,000-99,999 100-999 < 1
## 6905 80,000-89,999 > 100,000 10-20
## 6906 0-999 100-999 5-10
## 6907 <NA> <NA> 1-2
## 6908 100,000-124,999 10,000-99,999 1-2
## 6909 <NA> <NA> 1-2
## 6910 40,000-49,999 > 100,000 < 1
## 6911 40,000-49,999 10,000-99,999 5-10
## 6912 90,000-99,999 1-99 10-20
## 6913 300,000-500,000 > 100,000 20+
## 6914 2,000-2,999 100-999 5-10
## 6915 4,000-4,999 100-999 3-5
## 6916 0-999 0 1-2
## 6917 <NA> <NA> 1-2
## 6918 <NA> <NA> < 1
## 6919 <NA> <NA> 10-20
## 6920 <NA> <NA> 1-2
## 6921 <NA> <NA> 1-2
## 6922 40,000-49,999 10,000-99,999 < 1
## 6923 7,500-9,999 100-999 3-5
## 6924 <NA> <NA> 1-2
## 6925 <NA> <NA> 1-2
## 6926 0-999 0 < 1
## 6927 60,000-69,999 0 5-10
## 6928 15,000-19,999 100-999 1-2
## 6929 <NA> <NA> 3-5
## 6930 0-999 0 < 1
## 6931 2,000-2,999 10,000-99,999 3-5
## 6932 <NA> <NA> 1-2
## 6933 <NA> <NA> 5-10
## 6934 20,000-24,999 0 1-2
## 6935 60,000-69,999 100-999 1-2
## 6936 <NA> <NA> 1-2
## 6937 50,000-59,999 > 100,000 5-10
## 6938 20,000-24,999 100-999 < 1
## 6939 <NA> <NA> < 1
## 6940 3,000-3,999 100-999 1-2
## 6941 70,000-79,999 1000-9,999 20+
## 6942 0-999 0 3-5
## 6943 5,000-7,499 0 1-2
## 6944 40,000-49,999 1-99 < 1
## 6945 10,000-14,999 0 3-5
## 6946 <NA> <NA> < 1
## 6947 0-999 0 < 1
## 6948 1,000-1,999 0 < 1
## 6949 40,000-49,999 10,000-99,999 3-5
## 6950 20,000-24,999 1000-9,999 3-5
## 6951 70,000-79,999 100-999 3-5
## 6952 15,000-19,999 1000-9,999 5-10
## 6953 <NA> <NA> 3-5
## 6954 2,000-2,999 1-99 1-2
## 6955 5,000-7,499 0 1-2
## 6956 <NA> <NA> < 1
## 6957 <NA> <NA> < 1
## 6958 <NA> <NA> < 1
## 6959 <NA> <NA> 3-5
## 6960 100,000-124,999 1000-9,999 3-5
## 6961 50,000-59,999 0 3-5
## 6962 90,000-99,999 0 1-2
## 6963 <NA> <NA> 3-5
## 6964 5,000-7,499 0 < 1
## 6965 1,000-1,999 0 < 1
## 6966 100,000-124,999 1000-9,999 3-5
## 6967 25,000-29,999 0 1-2
## 6968 <NA> <NA> < 1
## 6969 <NA> <NA> 1-2
## 6970 40,000-49,999 0 < 1
## 6971 20,000-24,999 1-99 3-5
## 6972 20,000-24,999 0 3-5
## 6973 4,000-4,999 0 20+
## 6974 1,000-1,999 100-999 < 1
## 6975 > 500,000 > 100,000 3-5
## 6976 100,000-124,999 10,000-99,999 5-10
## 6977 60,000-69,999 1-99 1-2
## 6978 30,000-39,999 1000-9,999 3-5
## 6979 125,000-149,999 10,000-99,999 3-5
## 6980 0-999 1-99 < 1
## 6981 150,000-199,999 0 10-20
## 6982 20,000-24,999 0 3-5
## 6983 200,000-249,999 > 100,000 20+
## 6984 150,000-199,999 10,000-99,999 5-10
## 6985 7,500-9,999 100-999 None
## 6986 1,000-1,999 1000-9,999 5-10
## 6987 125,000-149,999 1-99 5-10
## 6988 <NA> <NA> 10-20
## 6989 100,000-124,999 1000-9,999 10-20
## 6990 7,500-9,999 100-999 1-2
## 6991 <NA> <NA> < 1
## 6992 <NA> <NA> 1-2
## 6993 40,000-49,999 0 3-5
## 6994 50,000-59,999 0 20+
## 6995 > 500,000 1000-9,999 20+
## 6996 <NA> <NA> < 1
## 6997 125,000-149,999 1000-9,999 3-5
## 6998 2,000-2,999 10,000-99,999 5-10
## 6999 <NA> <NA> None
## 7000 <NA> <NA> < 1
## 7001 <NA> <NA> < 1
## 7002 15,000-19,999 1000-9,999 1-2
## 7003 0-999 0 1-2
## 7004 <NA> <NA> < 1
## 7005 25,000-29,999 100-999 < 1
## 7006 25,000-29,999 1000-9,999 3-5
## 7007 70,000-79,999 100-999 3-5
## 7008 40,000-49,999 1000-9,999 < 1
## 7009 <NA> <NA> 1-2
## 7010 70,000-79,999 1000-9,999 < 1
## 7011 50,000-59,999 0 < 1
## 7012 150,000-199,999 10,000-99,999 20+
## 7013 0-999 0 < 1
## 7014 4,000-4,999 0 < 1
## 7015 60,000-69,999 10,000-99,999 3-5
## 7016 5,000-7,499 1000-9,999 1-2
## 7017 90,000-99,999 100-999 < 1
## 7018 30,000-39,999 1-99 < 1
## 7019 125,000-149,999 > 100,000 5-10
## 7020 125,000-149,999 1-99 5-10
## 7021 15,000-19,999 0 5-10
## 7022 7,500-9,999 > 100,000 10-20
## 7023 0-999 1-99 1-2
## 7024 150,000-199,999 0 5-10
## 7025 150,000-199,999 100-999 1-2
## 7026 15,000-19,999 1-99 1-2
## 7027 0-999 1-99 < 1
## 7028 125,000-149,999 100-999 10-20
## 7029 40,000-49,999 1-99 5-10
## 7030 15,000-19,999 1-99 None
## 7031 <NA> <NA> < 1
## 7032 5,000-7,499 0 1-2
## 7033 3,000-3,999 100-999 5-10
## 7034 50,000-59,999 1000-9,999 5-10
## 7035 20,000-24,999 0 1-2
## 7036 10,000-14,999 10,000-99,999 1-2
## 7037 <NA> <NA> 3-5
## 7038 100,000-124,999 > 100,000 3-5
## 7039 10,000-14,999 0 5-10
## 7040 <NA> <NA> 5-10
## 7041 80,000-89,999 > 100,000 5-10
## 7042 <NA> <NA> 1-2
## 7043 7,500-9,999 100-999 < 1
## 7044 1,000-1,999 10,000-99,999 20+
## 7045 30,000-39,999 0 1-2
## 7046 <NA> <NA> 1-2
## 7047 40,000-49,999 0 1-2
## 7048 <NA> <NA> 1-2
## 7049 100,000-124,999 10,000-99,999 5-10
## 7050 50,000-59,999 0 10-20
## 7051 125,000-149,999 1000-9,999 5-10
## 7052 25,000-29,999 1000-9,999 5-10
## 7053 <NA> <NA> < 1
## 7054 70,000-79,999 1000-9,999 3-5
## 7055 5,000-7,499 100-999 5-10
## 7056 <NA> <NA> 1-2
## 7057 80,000-89,999 10,000-99,999 3-5
## 7058 100,000-124,999 0 < 1
## 7059 <NA> <NA> < 1
## 7060 0-999 0 < 1
## 7061 20,000-24,999 0 5-10
## 7062 4,000-4,999 0 < 1
## 7063 15,000-19,999 10,000-99,999 3-5
## 7064 5,000-7,499 1000-9,999 1-2
## 7065 0-999 1-99 < 1
## 7066 40,000-49,999 0 10-20
## 7067 15,000-19,999 100-999 5-10
## 7068 <NA> <NA> 1-2
## 7069 0-999 100-999 < 1
## 7070 <NA> <NA> 5-10
## 7071 5,000-7,499 0 1-2
## 7072 7,500-9,999 0 None
## 7073 4,000-4,999 1000-9,999 1-2
## 7074 <NA> <NA> 1-2
## 7075 10,000-14,999 1-99 < 1
## 7076 100,000-124,999 1000-9,999 10-20
## 7077 50,000-59,999 > 100,000 1-2
## 7078 30,000-39,999 0 5-10
## 7079 100,000-124,999 100-999 3-5
## 7080 125,000-149,999 1000-9,999 5-10
## 7081 200,000-249,999 > 100,000 10-20
## 7082 40,000-49,999 > 100,000 3-5
## 7083 <NA> <NA> < 1
## 7084 40,000-49,999 100-999 3-5
## 7085 10,000-14,999 > 100,000 5-10
## 7086 15,000-19,999 1000-9,999 5-10
## 7087 4,000-4,999 0 1-2
## 7088 100,000-124,999 1000-9,999 3-5
## 7089 0-999 100-999 1-2
## 7090 <NA> <NA> 1-2
## 7091 <NA> <NA> < 1
## 7092 70,000-79,999 0 3-5
## 7093 0-999 1-99 1-2
## 7094 <NA> <NA> < 1
## 7095 15,000-19,999 100-999 1-2
## 7096 <NA> <NA> 1-2
## 7097 80,000-89,999 100-999 < 1
## 7098 7,500-9,999 1000-9,999 5-10
## 7099 <NA> <NA> < 1
## 7100 <NA> <NA> 5-10
## 7101 2,000-2,999 100-999 3-5
## 7102 50,000-59,999 0 1-2
## 7103 50,000-59,999 1000-9,999 3-5
## 7104 90,000-99,999 1000-9,999 5-10
## 7105 40,000-49,999 1000-9,999 1-2
## 7106 20,000-24,999 0 20+
## 7107 5,000-7,499 0 < 1
## 7108 <NA> <NA> < 1
## 7109 15,000-19,999 0 < 1
## 7110 40,000-49,999 1000-9,999 5-10
## 7111 4,000-4,999 100-999 5-10
## 7112 30,000-39,999 0 10-20
## 7113 <NA> <NA> < 1
## 7114 15,000-19,999 100-999 3-5
## 7115 30,000-39,999 100-999 < 1
## 7116 <NA> <NA> 1-2
## 7117 <NA> <NA> 1-2
## 7118 <NA> <NA> 1-2
## 7119 150,000-199,999 10,000-99,999 < 1
## 7120 15,000-19,999 1000-9,999 3-5
## 7121 <NA> <NA> 1-2
## 7122 100,000-124,999 0 20+
## 7123 100,000-124,999 1000-9,999 20+
## 7124 <NA> <NA> 3-5
## 7125 250,000-299,999 10,000-99,999 10-20
## 7126 <NA> <NA> None
## 7127 125,000-149,999 10,000-99,999 1-2
## 7128 10,000-14,999 0 5-10
## 7129 25,000-29,999 > 100,000 1-2
## 7130 40,000-49,999 1-99 < 1
## 7131 80,000-89,999 100-999 10-20
## 7132 40,000-49,999 > 100,000 3-5
## 7133 <NA> <NA> < 1
## 7134 <NA> <NA> None
## 7135 0-999 0 3-5
## 7136 90,000-99,999 0 10-20
## 7137 0-999 1000-9,999 < 1
## 7138 15,000-19,999 0 3-5
## 7139 30,000-39,999 > 100,000 3-5
## 7140 <NA> <NA> 1-2
## 7141 30,000-39,999 1000-9,999 5-10
## 7142 25,000-29,999 100-999 1-2
## 7143 <NA> <NA> None
## 7144 100,000-124,999 10,000-99,999 10-20
## 7145 40,000-49,999 0 3-5
## 7146 150,000-199,999 0 10-20
## 7147 150,000-199,999 > 100,000 5-10
## 7148 <NA> <NA> 1-2
## 7149 0-999 0 < 1
## 7150 50,000-59,999 0 1-2
## 7151 0-999 0 5-10
## 7152 10,000-14,999 0 None
## 7153 <NA> <NA> None
## 7154 20,000-24,999 100-999 1-2
## 7155 <NA> <NA> < 1
## 7156 > 500,000 0 10-20
## 7157 125,000-149,999 1000-9,999 5-10
## 7158 <NA> <NA> < 1
## 7159 3,000-3,999 100-999 None
## 7160 <NA> <NA> 3-5
## 7161 <NA> <NA> 1-2
## 7162 80,000-89,999 1000-9,999 20+
## 7163 15,000-19,999 100-999 3-5
## 7164 40,000-49,999 0 3-5
## 7165 150,000-199,999 1000-9,999 5-10
## 7166 15,000-19,999 1000-9,999 < 1
## 7167 30,000-39,999 100-999 3-5
## 7168 0-999 0 1-2
## 7169 10,000-14,999 1-99 < 1
## 7170 80,000-89,999 10,000-99,999 3-5
## 7171 <NA> <NA> 3-5
## 7172 50,000-59,999 10,000-99,999 5-10
## 7173 <NA> <NA> < 1
## 7174 <NA> <NA> < 1
## 7175 80,000-89,999 10,000-99,999 10-20
## 7176 <NA> <NA> < 1
## 7177 90,000-99,999 10,000-99,999 20+
## 7178 1,000-1,999 0 < 1
## 7179 250,000-299,999 10,000-99,999 1-2
## 7180 60,000-69,999 1000-9,999 < 1
## 7181 0-999 0 1-2
## 7182 50,000-59,999 100-999 10-20
## 7183 <NA> <NA> 1-2
## 7184 50,000-59,999 100-999 10-20
## 7185 <NA> <NA> < 1
## 7186 5,000-7,499 0 1-2
## 7187 0-999 0 3-5
## 7188 2,000-2,999 0 1-2
## 7189 40,000-49,999 > 100,000 10-20
## 7190 <NA> <NA> < 1
## 7191 <NA> <NA> 1-2
## 7192 70,000-79,999 100-999 1-2
## 7193 <NA> <NA> < 1
## 7194 <NA> <NA> 1-2
## 7195 <NA> <NA> 1-2
## 7196 150,000-199,999 > 100,000 20+
## 7197 0-999 0 3-5
## 7198 <NA> <NA> 3-5
## 7199 100,000-124,999 1000-9,999 1-2
## 7200 > 500,000 > 100,000 10-20
## 7201 30,000-39,999 1000-9,999 3-5
## 7202 40,000-49,999 > 100,000 10-20
## 7203 <NA> <NA> < 1
## 7204 125,000-149,999 > 100,000 1-2
## 7205 80,000-89,999 1000-9,999 10-20
## 7206 125,000-149,999 10,000-99,999 5-10
## 7207 80,000-89,999 > 100,000 5-10
## 7208 <NA> <NA> 5-10
## 7209 60,000-69,999 1000-9,999 3-5
## 7210 10,000-14,999 10,000-99,999 3-5
## 7211 100,000-124,999 1-99 1-2
## 7212 10,000-14,999 1000-9,999 1-2
## 7213 25,000-29,999 1000-9,999 < 1
## 7214 0-999 1-99 < 1
## 7215 <NA> <NA> < 1
## 7216 <NA> <NA> < 1
## 7217 0-999 0 < 1
## 7218 <NA> <NA> < 1
## 7219 10,000-14,999 10,000-99,999 3-5
## 7220 0-999 1-99 3-5
## 7221 <NA> <NA> < 1
## 7222 10,000-14,999 0 < 1
## 7223 100,000-124,999 > 100,000 5-10
## 7224 <NA> <NA> 3-5
## 7225 <NA> <NA> < 1
## 7226 150,000-199,999 10,000-99,999 20+
## 7227 <NA> <NA> 3-5
## 7228 <NA> <NA> < 1
## 7229 60,000-69,999 1000-9,999 1-2
## 7230 100,000-124,999 1000-9,999 3-5
## 7231 60,000-69,999 0 1-2
## 7232 <NA> <NA> 1-2
## 7233 10,000-14,999 100-999 < 1
## 7234 60,000-69,999 10,000-99,999 5-10
## 7235 125,000-149,999 1000-9,999 1-2
## 7236 60,000-69,999 0 5-10
## 7237 3,000-3,999 0 10-20
## 7238 70,000-79,999 1000-9,999 1-2
## 7239 90,000-99,999 0 1-2
## 7240 2,000-2,999 0 < 1
## 7241 0-999 0 5-10
## 7242 70,000-79,999 10,000-99,999 1-2
## 7243 <NA> <NA> 5-10
## 7244 <NA> <NA> < 1
## 7245 50,000-59,999 100-999 1-2
## 7246 <NA> <NA> 1-2
## 7247 40,000-49,999 > 100,000 5-10
## 7248 90,000-99,999 1000-9,999 3-5
## 7249 50,000-59,999 100-999 None
## 7250 0-999 0 1-2
## 7251 25,000-29,999 100-999 3-5
## 7252 5,000-7,499 0 < 1
## 7253 100,000-124,999 1000-9,999 10-20
## 7254 80,000-89,999 10,000-99,999 5-10
## 7255 10,000-14,999 1-99 < 1
## 7256 25,000-29,999 0 3-5
## 7257 80,000-89,999 10,000-99,999 3-5
## 7258 20,000-24,999 100-999 1-2
## 7259 2,000-2,999 10,000-99,999 5-10
## 7260 20,000-24,999 1000-9,999 1-2
## 7261 <NA> <NA> 3-5
## 7262 30,000-39,999 100-999 3-5
## 7263 0-999 0 None
## 7264 125,000-149,999 10,000-99,999 3-5
## 7265 0-999 1-99 None
## 7266 <NA> <NA> 3-5
## 7267 70,000-79,999 > 100,000 3-5
## 7268 50,000-59,999 > 100,000 3-5
## 7269 30,000-39,999 0 5-10
## 7270 0-999 1-99 3-5
## 7271 80,000-89,999 0 5-10
## 7272 15,000-19,999 0 5-10
## 7273 60,000-69,999 10,000-99,999 20+
## 7274 60,000-69,999 0 < 1
## 7275 10,000-14,999 10,000-99,999 < 1
## 7276 15,000-19,999 0 < 1
## 7277 0-999 100-999 1-2
## 7278 100,000-124,999 1000-9,999 5-10
## 7279 30,000-39,999 1000-9,999 3-5
## 7280 0-999 0 < 1
## 7281 15,000-19,999 > 100,000 3-5
## 7282 1,000-1,999 10,000-99,999 1-2
## 7283 150,000-199,999 1000-9,999 3-5
## 7284 5,000-7,499 1-99 < 1
## 7285 80,000-89,999 1-99 5-10
## 7286 15,000-19,999 0 3-5
## 7287 60,000-69,999 100-999 10-20
## 7288 15,000-19,999 0 1-2
## 7289 150,000-199,999 > 100,000 10-20
## 7290 25,000-29,999 0 1-2
## 7291 <NA> <NA> < 1
## 7292 0-999 1000-9,999 1-2
## 7293 0-999 1-99 1-2
## 7294 0-999 100-999 1-2
## 7295 <NA> <NA> 5-10
## 7296 70,000-79,999 1000-9,999 5-10
## 7297 15,000-19,999 100-999 < 1
## 7298 20,000-24,999 100-999 5-10
## 7299 5,000-7,499 1-99 10-20
## 7300 40,000-49,999 0 1-2
## 7301 <NA> <NA> < 1
## 7302 <NA> <NA> < 1
## 7303 15,000-19,999 1000-9,999 1-2
## 7304 <NA> <NA> 1-2
## 7305 50,000-59,999 100-999 1-2
## 7306 10,000-14,999 0 1-2
## 7307 <NA> <NA> < 1
## 7308 70,000-79,999 1-99 3-5
## 7309 70,000-79,999 100-999 3-5
## 7310 80,000-89,999 0 1-2
## 7311 30,000-39,999 > 100,000 1-2
## 7312 150,000-199,999 > 100,000 3-5
## 7313 10,000-14,999 0 < 1
## 7314 10,000-14,999 > 100,000 3-5
## 7315 100,000-124,999 0 5-10
## 7316 60,000-69,999 1-99 1-2
## 7317 <NA> <NA> < 1
## 7318 5,000-7,499 100-999 1-2
## 7319 150,000-199,999 1000-9,999 5-10
## 7320 <NA> <NA> 1-2
## 7321 20,000-24,999 0 None
## 7322 10,000-14,999 1000-9,999 < 1
## 7323 5,000-7,499 100-999 1-2
## 7324 0-999 1-99 < 1
## 7325 25,000-29,999 0 1-2
## 7326 50,000-59,999 0 None
## 7327 <NA> <NA> 1-2
## 7328 <NA> <NA> < 1
## 7329 150,000-199,999 0 20+
## 7330 <NA> <NA> 1-2
## 7331 <NA> <NA> 1-2
## 7332 100,000-124,999 > 100,000 10-20
## 7333 0-999 100-999 < 1
## 7334 125,000-149,999 0 20+
## 7335 100,000-124,999 10,000-99,999 1-2
## 7336 10,000-14,999 1-99 1-2
## 7337 4,000-4,999 0 < 1
## 7338 <NA> <NA> 1-2
## 7339 20,000-24,999 0 10-20
## 7340 90,000-99,999 1000-9,999 1-2
## 7341 <NA> <NA> < 1
## 7342 0-999 1000-9,999 < 1
## 7343 70,000-79,999 0 1-2
## 7344 1,000-1,999 1-99 1-2
## 7345 30,000-39,999 1-99 None
## 7346 80,000-89,999 0 1-2
## 7347 <NA> <NA> < 1
## 7348 150,000-199,999 10,000-99,999 10-20
## 7349 300,000-500,000 > 100,000 20+
## 7350 <NA> <NA> < 1
## 7351 7,500-9,999 0 < 1
## 7352 100,000-124,999 > 100,000 3-5
## 7353 90,000-99,999 10,000-99,999 3-5
## 7354 25,000-29,999 100-999 1-2
## 7355 150,000-199,999 > 100,000 10-20
## 7356 0-999 100-999 5-10
## 7357 150,000-199,999 100-999 3-5
## 7358 <NA> <NA> 1-2
## 7359 0-999 10,000-99,999 < 1
## 7360 <NA> <NA> 5-10
## 7361 15,000-19,999 0 1-2
## 7362 15,000-19,999 1-99 < 1
## 7363 40,000-49,999 100-999 None
## 7364 15,000-19,999 100-999 1-2
## 7365 40,000-49,999 1-99 1-2
## 7366 30,000-39,999 1000-9,999 5-10
## 7367 40,000-49,999 100-999 10-20
## 7368 <NA> <NA> < 1
## 7369 0-999 1-99 3-5
## 7370 125,000-149,999 100-999 1-2
## 7371 25,000-29,999 100-999 20+
## 7372 125,000-149,999 1000-9,999 5-10
## 7373 <NA> <NA> < 1
## 7374 40,000-49,999 100-999 3-5
## 7375 90,000-99,999 100-999 3-5
## 7376 15,000-19,999 0 None
## 7377 5,000-7,499 100-999 < 1
## 7378 <NA> <NA> None
## 7379 50,000-59,999 100-999 10-20
## 7380 20,000-24,999 0 < 1
## 7381 4,000-4,999 0 20+
## 7382 <NA> <NA> 1-2
## 7383 7,500-9,999 100-999 < 1
## 7384 150,000-199,999 100-999 3-5
## 7385 0-999 0 None
## 7386 7,500-9,999 0 1-2
## 7387 15,000-19,999 100-999 3-5
## 7388 1,000-1,999 0 None
## 7389 20,000-24,999 0 < 1
## 7390 25,000-29,999 0 20+
## 7391 0-999 0 None
## 7392 0-999 0 < 1
## 7393 30,000-39,999 0 5-10
## 7394 100,000-124,999 1000-9,999 5-10
## 7395 25,000-29,999 1-99 5-10
## 7396 0-999 0 None
## 7397 1,000-1,999 1-99 1-2
## 7398 <NA> <NA> 3-5
## 7399 0-999 0 < 1
## 7400 150,000-199,999 10,000-99,999 < 1
## 7401 <NA> <NA> < 1
## 7402 70,000-79,999 100-999 3-5
## 7403 150,000-199,999 100-999 5-10
## 7404 4,000-4,999 1-99 < 1
## 7405 125,000-149,999 0 5-10
## 7406 100,000-124,999 10,000-99,999 3-5
## 7407 15,000-19,999 1-99 5-10
## 7408 3,000-3,999 1-99 < 1
## 7409 <NA> <NA> 1-2
## 7410 50,000-59,999 > 100,000 5-10
## 7411 30,000-39,999 10,000-99,999 3-5
## 7412 <NA> <NA> 1-2
## 7413 <NA> <NA> < 1
## 7414 <NA> <NA> < 1
## 7415 7,500-9,999 1000-9,999 1-2
## 7416 <NA> <NA> < 1
## 7417 15,000-19,999 1-99 3-5
## 7418 <NA> <NA> < 1
## 7419 3,000-3,999 1-99 1-2
## 7420 10,000-14,999 1-99 < 1
## 7421 0-999 100-999 < 1
## 7422 40,000-49,999 1000-9,999 10-20
## 7423 <NA> <NA> 1-2
## 7424 <NA> <NA> < 1
## 7425 <NA> <NA> < 1
## 7426 150,000-199,999 0 5-10
## 7427 2,000-2,999 0 < 1
## 7428 80,000-89,999 100-999 3-5
## 7429 <NA> <NA> < 1
## 7430 <NA> <NA> < 1
## 7431 15,000-19,999 0 1-2
## 7432 <NA> <NA> < 1
## 7433 0-999 10,000-99,999 < 1
## 7434 <NA> <NA> 1-2
## 7435 1,000-1,999 1-99 < 1
## 7436 20,000-24,999 1000-9,999 1-2
## 7437 <NA> <NA> 1-2
## 7438 0-999 0 < 1
## 7439 <NA> <NA> 3-5
## 7440 70,000-79,999 0 10-20
## 7441 <NA> <NA> 3-5
## 7442 80,000-89,999 > 100,000 10-20
## 7443 10,000-14,999 1-99 1-2
## 7444 100,000-124,999 1000-9,999 3-5
## 7445 50,000-59,999 100-999 20+
## 7446 <NA> <NA> < 1
## 7447 0-999 1-99 1-2
## 7448 10,000-14,999 1-99 3-5
## 7449 5,000-7,499 100-999 10-20
## 7450 50,000-59,999 > 100,000 10-20
## 7451 5,000-7,499 100-999 1-2
## 7452 1,000-1,999 1-99 3-5
## 7453 40,000-49,999 0 < 1
## 7454 15,000-19,999 10,000-99,999 1-2
## 7455 <NA> <NA> < 1
## 7456 0-999 1-99 3-5
## 7457 30,000-39,999 100-999 < 1
## 7458 0-999 0 1-2
## 7459 0-999 1000-9,999 3-5
## 7460 0-999 0 3-5
## 7461 10,000-14,999 0 < 1
## 7462 30,000-39,999 10,000-99,999 20+
## 7463 150,000-199,999 > 100,000 10-20
## 7464 250,000-299,999 10,000-99,999 5-10
## 7465 <NA> <NA> 5-10
## 7466 0-999 0 5-10
## 7467 70,000-79,999 1-99 3-5
## 7468 2,000-2,999 100-999 5-10
## 7469 70,000-79,999 1000-9,999 1-2
## 7470 0-999 0 3-5
## 7471 30,000-39,999 0 < 1
## 7472 5,000-7,499 1-99 1-2
## 7473 1,000-1,999 1000-9,999 1-2
## 7474 30,000-39,999 1000-9,999 3-5
## 7475 10,000-14,999 0 < 1
## 7476 2,000-2,999 1000-9,999 10-20
## 7477 <NA> <NA> < 1
## 7478 0-999 0 1-2
## 7479 15,000-19,999 0 1-2
## 7480 <NA> <NA> < 1
## 7481 <NA> <NA> None
## 7482 40,000-49,999 1000-9,999 < 1
## 7483 70,000-79,999 0 < 1
## 7484 200,000-249,999 10,000-99,999 20+
## 7485 15,000-19,999 100-999 3-5
## 7486 7,500-9,999 1-99 < 1
## 7487 <NA> <NA> 3-5
## 7488 <NA> <NA> 3-5
## 7489 5,000-7,499 100-999 3-5
## 7490 25,000-29,999 0 5-10
## 7491 15,000-19,999 0 None
## 7492 25,000-29,999 0 < 1
## 7493 2,000-2,999 0 5-10
## 7494 7,500-9,999 10,000-99,999 3-5
## 7495 <NA> <NA> < 1
## 7496 2,000-2,999 100-999 3-5
## 7497 70,000-79,999 1000-9,999 None
## 7498 70,000-79,999 > 100,000 3-5
## 7499 70,000-79,999 100-999 < 1
## 7500 <NA> <NA> < 1
## 7501 60,000-69,999 > 100,000 3-5
## 7502 2,000-2,999 0 None
## 7503 <NA> <NA> < 1
## 7504 0-999 0 1-2
## 7505 90,000-99,999 0 20+
## 7506 0-999 0 None
## 7507 <NA> <NA> 1-2
## 7508 1,000-1,999 1000-9,999 1-2
## 7509 <NA> <NA> < 1
## 7510 10,000-14,999 0 3-5
## 7511 100,000-124,999 1000-9,999 10-20
## 7512 0-999 0 < 1
## 7513 0-999 0 3-5
## 7514 90,000-99,999 0 3-5
## 7515 70,000-79,999 100-999 None
## 7516 5,000-7,499 0 < 1
## 7517 90,000-99,999 0 < 1
## 7518 <NA> <NA> 1-2
## 7519 0-999 100-999 3-5
## 7520 90,000-99,999 0 5-10
## 7521 <NA> <NA> < 1
## 7522 <NA> <NA> None
## 7523 70,000-79,999 1000-9,999 5-10
## 7524 3,000-3,999 0 5-10
## 7525 80,000-89,999 100-999 3-5
## 7526 70,000-79,999 1-99 5-10
## 7527 125,000-149,999 0 3-5
## 7528 125,000-149,999 10,000-99,999 5-10
## 7529 125,000-149,999 1-99 3-5
## 7530 15,000-19,999 0 None
## 7531 1,000-1,999 1-99 < 1
## 7532 20,000-24,999 0 1-2
## 7533 7,500-9,999 0 3-5
## 7534 2,000-2,999 100-999 < 1
## 7535 30,000-39,999 1000-9,999 3-5
## 7536 4,000-4,999 1-99 3-5
## 7537 0-999 0 1-2
## 7538 0-999 0 5-10
## 7539 <NA> <NA> < 1
## 7540 <NA> <NA> 3-5
## 7541 <NA> <NA> 20+
## 7542 <NA> <NA> 5-10
## 7543 <NA> <NA> 1-2
## 7544 50,000-59,999 1000-9,999 1-2
## 7545 0-999 0 3-5
## 7546 125,000-149,999 0 5-10
## 7547 200,000-249,999 10,000-99,999 1-2
## 7548 100,000-124,999 0 5-10
## 7549 125,000-149,999 > 100,000 < 1
## 7550 <NA> <NA> < 1
## 7551 40,000-49,999 100-999 1-2
## 7552 25,000-29,999 0 5-10
## 7553 200,000-249,999 > 100,000 20+
## 7554 7,500-9,999 100-999 1-2
## 7555 15,000-19,999 > 100,000 3-5
## 7556 <NA> <NA> 3-5
## 7557 5,000-7,499 1-99 None
## 7558 200,000-249,999 > 100,000 20+
## 7559 <NA> <NA> 1-2
## 7560 0-999 0 < 1
## 7561 40,000-49,999 0 10-20
## 7562 100,000-124,999 0 < 1
## 7563 150,000-199,999 10,000-99,999 20+
## 7564 10,000-14,999 0 < 1
## 7565 <NA> <NA> < 1
## 7566 30,000-39,999 0 1-2
## 7567 1,000-1,999 100-999 1-2
## 7568 25,000-29,999 1000-9,999 1-2
## 7569 80,000-89,999 0 5-10
## 7570 <NA> <NA> < 1
## 7571 150,000-199,999 10,000-99,999 3-5
## 7572 <NA> <NA> 1-2
## 7573 5,000-7,499 0 3-5
## 7574 125,000-149,999 1000-9,999 20+
## 7575 <NA> <NA> 1-2
## 7576 30,000-39,999 0 10-20
## 7577 25,000-29,999 10,000-99,999 5-10
## 7578 <NA> <NA> < 1
## 7579 70,000-79,999 0 20+
## 7580 <NA> <NA> 1-2
## 7581 60,000-69,999 1000-9,999 10-20
## 7582 5,000-7,499 0 None
## 7583 <NA> <NA> 5-10
## 7584 0-999 1-99 < 1
## 7585 <NA> <NA> 3-5
## 7586 25,000-29,999 100-999 < 1
## 7587 0-999 0 None
## 7588 <NA> <NA> < 1
## 7589 100,000-124,999 0 3-5
## 7590 <NA> <NA> < 1
## 7591 <NA> <NA> < 1
## 7592 <NA> <NA> < 1
## 7593 <NA> <NA> 3-5
## 7594 0-999 1-99 1-2
## 7595 25,000-29,999 1000-9,999 3-5
## 7596 90,000-99,999 0 None
## 7597 125,000-149,999 10,000-99,999 20+
## 7598 0-999 1000-9,999 3-5
## 7599 100,000-124,999 10,000-99,999 3-5
## 7600 <NA> <NA> 3-5
## 7601 <NA> <NA> < 1
## 7602 <NA> <NA> < 1
## 7603 0-999 0 < 1
## 7604 0-999 0 3-5
## 7605 70,000-79,999 10,000-99,999 20+
## 7606 4,000-4,999 1000-9,999 3-5
## 7607 200,000-249,999 > 100,000 10-20
## 7608 <NA> <NA> < 1
## 7609 3,000-3,999 100-999 5-10
## 7610 70,000-79,999 1000-9,999 3-5
## 7611 100,000-124,999 1000-9,999 1-2
## 7612 100,000-124,999 10,000-99,999 1-2
## 7613 30,000-39,999 0 1-2
## 7614 <NA> <NA> < 1
## 7615 <NA> <NA> 3-5
## 7616 40,000-49,999 10,000-99,999 3-5
## 7617 70,000-79,999 1-99 1-2
## 7618 <NA> <NA> 1-2
## 7619 125,000-149,999 > 100,000 5-10
## 7620 70,000-79,999 > 100,000 3-5
## 7621 <NA> <NA> < 1
## 7622 20,000-24,999 0 5-10
## 7623 125,000-149,999 1000-9,999 20+
## 7624 5,000-7,499 0 3-5
## 7625 100,000-124,999 0 3-5
## 7626 40,000-49,999 1000-9,999 3-5
## 7627 1,000-1,999 1-99 < 1
## 7628 <NA> <NA> < 1
## 7629 25,000-29,999 1000-9,999 1-2
## 7630 15,000-19,999 10,000-99,999 5-10
## 7631 150,000-199,999 1000-9,999 < 1
## 7632 70,000-79,999 1000-9,999 3-5
## 7633 <NA> <NA> < 1
## 7634 10,000-14,999 1-99 3-5
## 7635 4,000-4,999 10,000-99,999 < 1
## 7636 <NA> <NA> < 1
## 7637 <NA> <NA> 1-2
## 7638 <NA> <NA> 3-5
## 7639 7,500-9,999 1000-9,999 1-2
## 7640 0-999 1000-9,999 10-20
## 7641 4,000-4,999 10,000-99,999 1-2
## 7642 10,000-14,999 100-999 1-2
## 7643 10,000-14,999 1000-9,999 1-2
## 7644 0-999 1-99 < 1
## 7645 80,000-89,999 1000-9,999 3-5
## 7646 1,000-1,999 100-999 < 1
## 7647 20,000-24,999 100-999 1-2
## 7648 <NA> <NA> None
## 7649 5,000-7,499 0 < 1
## 7650 50,000-59,999 > 100,000 5-10
## 7651 7,500-9,999 0 1-2
## 7652 150,000-199,999 1000-9,999 10-20
## 7653 40,000-49,999 100-999 5-10
## 7654 <NA> <NA> None
## 7655 125,000-149,999 1-99 10-20
## 7656 10,000-14,999 1-99 1-2
## 7657 15,000-19,999 0 < 1
## 7658 0-999 0 None
## 7659 4,000-4,999 1000-9,999 3-5
## 7660 <NA> <NA> 1-2
## 7661 40,000-49,999 1-99 1-2
## 7662 30,000-39,999 1000-9,999 3-5
## 7663 80,000-89,999 0 1-2
## 7664 <NA> <NA> < 1
## 7665 125,000-149,999 0 10-20
## 7666 3,000-3,999 1-99 1-2
## 7667 30,000-39,999 1000-9,999 1-2
## 7668 80,000-89,999 1000-9,999 3-5
## 7669 2,000-2,999 0 < 1
## 7670 20,000-24,999 0 < 1
## 7671 90,000-99,999 0 < 1
## 7672 5,000-7,499 0 < 1
## 7673 10,000-14,999 1000-9,999 1-2
## 7674 60,000-69,999 1000-9,999 None
## 7675 > 500,000 1-99 20+
## 7676 0-999 0 < 1
## 7677 10,000-14,999 1-99 3-5
## 7678 7,500-9,999 0 1-2
## 7679 <NA> <NA> 1-2
## 7680 0-999 0 None
## 7681 25,000-29,999 1000-9,999 3-5
## 7682 20,000-24,999 0 1-2
## 7683 0-999 0 3-5
## 7684 20,000-24,999 0 < 1
## 7685 2,000-2,999 10,000-99,999 5-10
## 7686 0-999 1000-9,999 < 1
## 7687 20,000-24,999 0 3-5
## 7688 <NA> <NA> < 1
## 7689 15,000-19,999 0 1-2
## 7690 <NA> <NA> 10-20
## 7691 40,000-49,999 1000-9,999 3-5
## 7692 <NA> <NA> None
## 7693 <NA> <NA> 1-2
## 7694 30,000-39,999 0 5-10
## 7695 <NA> <NA> < 1
## 7696 100,000-124,999 0 5-10
## 7697 4,000-4,999 0 < 1
## 7698 60,000-69,999 1-99 1-2
## 7699 0-999 1-99 < 1
## 7700 100,000-124,999 100-999 20+
## 7701 50,000-59,999 1000-9,999 10-20
## 7702 40,000-49,999 1000-9,999 5-10
## 7703 50,000-59,999 1000-9,999 1-2
## 7704 1,000-1,999 100-999 3-5
## 7705 <NA> <NA> < 1
## 7706 2,000-2,999 100-999 < 1
## 7707 3,000-3,999 0 < 1
## 7708 0-999 0 None
## 7709 <NA> <NA> 3-5
## 7710 4,000-4,999 0 < 1
## 7711 5,000-7,499 0 < 1
## 7712 20,000-24,999 1000-9,999 3-5
## 7713 10,000-14,999 100-999 1-2
## 7714 30,000-39,999 0 < 1
## 7715 10,000-14,999 1000-9,999 1-2
## 7716 40,000-49,999 0 None
## 7717 0-999 1000-9,999 3-5
## 7718 60,000-69,999 100-999 5-10
## 7719 40,000-49,999 1000-9,999 5-10
## 7720 50,000-59,999 0 20+
## 7721 <NA> <NA> 3-5
## 7722 25,000-29,999 1-99 < 1
## 7723 40,000-49,999 1-99 3-5
## 7724 3,000-3,999 1000-9,999 3-5
## 7725 0-999 1-99 5-10
## 7726 <NA> <NA> 3-5
## 7727 <NA> <NA> 3-5
## 7728 5,000-7,499 1000-9,999 5-10
## 7729 100,000-124,999 > 100,000 10-20
## 7730 150,000-199,999 > 100,000 10-20
## 7731 125,000-149,999 10,000-99,999 3-5
## 7732 100,000-124,999 100-999 20+
## 7733 10,000-14,999 0 < 1
## 7734 15,000-19,999 10,000-99,999 1-2
## 7735 <NA> <NA> 3-5
## 7736 <NA> <NA> < 1
## 7737 125,000-149,999 1000-9,999 5-10
## 7738 125,000-149,999 > 100,000 5-10
## 7739 60,000-69,999 > 100,000 10-20
## 7740 5,000-7,499 0 1-2
## 7741 <NA> <NA> < 1
## 7742 15,000-19,999 0 < 1
## 7743 5,000-7,499 0 5-10
## 7744 <NA> <NA> 3-5
## 7745 5,000-7,499 0 1-2
## 7746 <NA> <NA> 1-2
## 7747 150,000-199,999 1000-9,999 20+
## 7748 15,000-19,999 100-999 3-5
## 7749 50,000-59,999 1000-9,999 3-5
## 7750 90,000-99,999 10,000-99,999 1-2
## 7751 30,000-39,999 0 5-10
## 7752 4,000-4,999 100-999 < 1
## 7753 150,000-199,999 > 100,000 None
## 7754 <NA> <NA> 1-2
## 7755 40,000-49,999 10,000-99,999 10-20
## 7756 1,000-1,999 100-999 3-5
## 7757 200,000-249,999 100-999 5-10
## 7758 <NA> <NA> 1-2
## 7759 60,000-69,999 1000-9,999 3-5
## 7760 40,000-49,999 0 3-5
## 7761 <NA> <NA> 1-2
## 7762 150,000-199,999 100-999 10-20
## 7763 50,000-59,999 1000-9,999 5-10
## 7764 4,000-4,999 0 < 1
## 7765 <NA> <NA> < 1
## 7766 125,000-149,999 > 100,000 < 1
## 7767 30,000-39,999 1000-9,999 1-2
## 7768 1,000-1,999 1000-9,999 3-5
## 7769 <NA> <NA> < 1
## 7770 50,000-59,999 0 10-20
## 7771 <NA> <NA> < 1
## 7772 125,000-149,999 1000-9,999 5-10
## 7773 1,000-1,999 100-999 5-10
## 7774 25,000-29,999 1000-9,999 5-10
## 7775 100,000-124,999 100-999 10-20
## 7776 125,000-149,999 1000-9,999 10-20
## 7777 <NA> <NA> 1-2
## 7778 <NA> <NA> 1-2
## 7779 2,000-2,999 1-99 1-2
## 7780 0-999 100-999 3-5
## 7781 30,000-39,999 0 3-5
## 7782 100,000-124,999 100-999 20+
## 7783 10,000-14,999 1-99 3-5
## 7784 0-999 1000-9,999 20+
## 7785 10,000-14,999 0 1-2
## 7786 30,000-39,999 1000-9,999 3-5
## 7787 20,000-24,999 0 3-5
## 7788 20,000-24,999 0 None
## 7789 <NA> <NA> < 1
## 7790 30,000-39,999 100-999 3-5
## 7791 70,000-79,999 100-999 10-20
## 7792 <NA> <NA> 1-2
## 7793 90,000-99,999 100-999 < 1
## 7794 50,000-59,999 0 < 1
## 7795 <NA> <NA> 3-5
## 7796 30,000-39,999 1-99 1-2
## 7797 0-999 1000-9,999 3-5
## 7798 0-999 0 < 1
## 7799 50,000-59,999 10,000-99,999 3-5
## 7800 <NA> <NA> 1-2
## 7801 60,000-69,999 > 100,000 3-5
## 7802 <NA> <NA> 1-2
## 7803 60,000-69,999 10,000-99,999 < 1
## 7804 <NA> <NA> < 1
## 7805 50,000-59,999 100-999 3-5
## 7806 <NA> <NA> 1-2
## 7807 <NA> <NA> 1-2
## 7808 20,000-24,999 > 100,000 3-5
## 7809 60,000-69,999 1000-9,999 5-10
## 7810 90,000-99,999 100-999 3-5
## 7811 <NA> <NA> 1-2
## 7812 150,000-199,999 > 100,000 10-20
## 7813 80,000-89,999 0 5-10
## 7814 5,000-7,499 1-99 3-5
## 7815 90,000-99,999 0 5-10
## 7816 30,000-39,999 1000-9,999 1-2
## 7817 90,000-99,999 1000-9,999 1-2
## 7818 <NA> <NA> < 1
## 7819 5,000-7,499 100-999 1-2
## 7820 0-999 0 < 1
## 7821 0-999 0 < 1
## 7822 10,000-14,999 0 5-10
## 7823 0-999 100-999 3-5
## 7824 125,000-149,999 1000-9,999 3-5
## 7825 20,000-24,999 1-99 3-5
## 7826 40,000-49,999 0 1-2
## 7827 20,000-24,999 1-99 1-2
## 7828 25,000-29,999 100-999 3-5
## 7829 50,000-59,999 0 1-2
## 7830 7,500-9,999 0 3-5
## 7831 90,000-99,999 0 3-5
## 7832 10,000-14,999 100-999 < 1
## 7833 <NA> <NA> 1-2
## 7834 10,000-14,999 1000-9,999 5-10
## 7835 20,000-24,999 100-999 20+
## 7836 <NA> <NA> 1-2
## 7837 25,000-29,999 100-999 3-5
## 7838 50,000-59,999 0 3-5
## 7839 100,000-124,999 10,000-99,999 3-5
## 7840 15,000-19,999 1-99 1-2
## 7841 <NA> <NA> < 1
## 7842 50,000-59,999 100-999 5-10
## 7843 0-999 0 None
## 7844 <NA> <NA> None
## 7845 10,000-14,999 100-999 < 1
## 7846 50,000-59,999 10,000-99,999 3-5
## 7847 30,000-39,999 1000-9,999 3-5
## 7848 30,000-39,999 0 1-2
## 7849 <NA> <NA> < 1
## 7850 60,000-69,999 1000-9,999 5-10
## 7851 90,000-99,999 100-999 10-20
## 7852 2,000-2,999 1-99 < 1
## 7853 70,000-79,999 > 100,000 10-20
## 7854 60,000-69,999 1000-9,999 5-10
## 7855 30,000-39,999 0 1-2
## 7856 100,000-124,999 1000-9,999 5-10
## 7857 125,000-149,999 1000-9,999 20+
## 7858 40,000-49,999 100-999 3-5
## 7859 125,000-149,999 10,000-99,999 20+
## 7860 <NA> <NA> < 1
## 7861 0-999 1-99 < 1
## 7862 100,000-124,999 1000-9,999 3-5
## 7863 <NA> <NA> < 1
## 7864 15,000-19,999 1-99 1-2
## 7865 <NA> <NA> < 1
## 7866 80,000-89,999 100-999 < 1
## 7867 <NA> <NA> < 1
## 7868 70,000-79,999 0 None
## 7869 0-999 1-99 3-5
## 7870 40,000-49,999 10,000-99,999 3-5
## 7871 20,000-24,999 100-999 < 1
## 7872 <NA> <NA> 1-2
## 7873 60,000-69,999 0 5-10
## 7874 30,000-39,999 1-99 10-20
## 7875 125,000-149,999 1-99 20+
## 7876 <NA> <NA> 3-5
## 7877 125,000-149,999 0 20+
## 7878 <NA> <NA> 1-2
## 7879 <NA> <NA> 3-5
## 7880 2,000-2,999 100-999 3-5
## 7881 25,000-29,999 100-999 1-2
## 7882 70,000-79,999 10,000-99,999 3-5
## 7883 10,000-14,999 0 3-5
## 7884 <NA> <NA> 3-5
## 7885 60,000-69,999 0 < 1
## 7886 70,000-79,999 1000-9,999 < 1
## 7887 100,000-124,999 0 5-10
## 7888 <NA> <NA> < 1
## 7889 2,000-2,999 10,000-99,999 5-10
## 7890 <NA> <NA> 5-10
## 7891 10,000-14,999 > 100,000 1-2
## 7892 <NA> <NA> None
## 7893 <NA> <NA> 1-2
## 7894 5,000-7,499 1000-9,999 1-2
## 7895 125,000-149,999 0 20+
## 7896 <NA> <NA> 3-5
## 7897 <NA> <NA> < 1
## 7898 1,000-1,999 0 < 1
## 7899 <NA> <NA> 1-2
## 7900 10,000-14,999 0 1-2
## 7901 80,000-89,999 0 3-5
## 7902 15,000-19,999 100-999 1-2
## 7903 0-999 > 100,000 1-2
## 7904 100,000-124,999 0 3-5
## 7905 125,000-149,999 1000-9,999 1-2
## 7906 60,000-69,999 10,000-99,999 5-10
## 7907 <NA> <NA> 5-10
## 7908 20,000-24,999 1-99 1-2
## 7909 30,000-39,999 1000-9,999 10-20
## 7910 40,000-49,999 0 1-2
## 7911 60,000-69,999 > 100,000 3-5
## 7912 30,000-39,999 100-999 3-5
## 7913 <NA> <NA> 1-2
## 7914 <NA> <NA> 1-2
## 7915 100,000-124,999 10,000-99,999 3-5
## 7916 40,000-49,999 0 1-2
## 7917 <NA> <NA> 3-5
## 7918 40,000-49,999 1000-9,999 5-10
## 7919 25,000-29,999 1-99 1-2
## 7920 <NA> <NA> < 1
## 7921 70,000-79,999 100-999 5-10
## 7922 0-999 1000-9,999 20+
## 7923 125,000-149,999 10,000-99,999 1-2
## 7924 25,000-29,999 100-999 3-5
## 7925 50,000-59,999 100-999 1-2
## 7926 100,000-124,999 0 20+
## 7927 90,000-99,999 10,000-99,999 10-20
## 7928 10,000-14,999 1000-9,999 3-5
## 7929 30,000-39,999 1-99 5-10
## 7930 0-999 1000-9,999 5-10
## 7931 7,500-9,999 1000-9,999 < 1
## 7932 5,000-7,499 100-999 5-10
## 7933 1,000-1,999 100-999 3-5
## 7934 <NA> <NA> 3-5
## 7935 <NA> <NA> < 1
## 7936 40,000-49,999 0 3-5
## 7937 60,000-69,999 10,000-99,999 10-20
## 7938 1,000-1,999 0 1-2
## 7939 150,000-199,999 0 20+
## 7940 30,000-39,999 100-999 5-10
## 7941 5,000-7,499 1000-9,999 < 1
## 7942 70,000-79,999 1000-9,999 3-5
## 7943 <NA> <NA> 1-2
## 7944 50,000-59,999 1000-9,999 5-10
## 7945 <NA> <NA> 1-2
## 7946 <NA> <NA> < 1
## 7947 80,000-89,999 0 3-5
## 7948 3,000-3,999 1000-9,999 10-20
## 7949 30,000-39,999 1000-9,999 1-2
## 7950 150,000-199,999 0 20+
## 7951 150,000-199,999 1000-9,999 5-10
## 7952 80,000-89,999 100-999 5-10
## 7953 2,000-2,999 0 < 1
## 7954 50,000-59,999 1000-9,999 3-5
## 7955 80,000-89,999 0 3-5
## 7956 <NA> <NA> < 1
## 7957 80,000-89,999 1000-9,999 3-5
## 7958 <NA> <NA> < 1
## 7959 3,000-3,999 1000-9,999 3-5
## 7960 50,000-59,999 0 5-10
## 7961 1,000-1,999 1-99 1-2
## 7962 125,000-149,999 1000-9,999 5-10
## 7963 <NA> <NA> 1-2
## 7964 25,000-29,999 > 100,000 1-2
## 7965 10,000-14,999 1-99 20+
## 7966 60,000-69,999 0 1-2
## 7967 125,000-149,999 100-999 < 1
## 7968 100,000-124,999 > 100,000 5-10
## 7969 70,000-79,999 > 100,000 1-2
## 7970 0-999 0 3-5
## 7971 200,000-249,999 0 < 1
## 7972 7,500-9,999 1-99 5-10
## 7973 200,000-249,999 0 5-10
## 7974 90,000-99,999 100-999 5-10
## 7975 60,000-69,999 10,000-99,999 3-5
## 7976 20,000-24,999 100-999 3-5
## 7977 70,000-79,999 1000-9,999 5-10
## 7978 70,000-79,999 1000-9,999 5-10
## 7979 5,000-7,499 100-999 3-5
## 7980 0-999 100-999 3-5
## 7981 3,000-3,999 1000-9,999 < 1
## 7982 <NA> <NA> 5-10
## 7983 125,000-149,999 10,000-99,999 3-5
## 7984 60,000-69,999 100-999 3-5
## 7985 <NA> <NA> 1-2
## 7986 1,000-1,999 0 1-2
## 7987 150,000-199,999 0 5-10
## 7988 <NA> <NA> None
## 7989 10,000-14,999 100-999 < 1
## 7990 20,000-24,999 1000-9,999 3-5
## 7991 90,000-99,999 100-999 3-5
## 7992 <NA> <NA> 3-5
## 7993 <NA> <NA> < 1
## 7994 <NA> <NA> 1-2
## 7995 100,000-124,999 100-999 3-5
## 7996 90,000-99,999 1000-9,999 3-5
## 7997 30,000-39,999 10,000-99,999 5-10
## 7998 50,000-59,999 0 3-5
## 7999 40,000-49,999 100-999 < 1
## 8000 100,000-124,999 1000-9,999 3-5
## 8001 15,000-19,999 0 < 1
## 8002 0-999 0 20+
## 8003 200,000-249,999 10,000-99,999 5-10
## 8004 5,000-7,499 0 3-5
## 8005 15,000-19,999 100-999 10-20
## 8006 150,000-199,999 > 100,000 5-10
## 8007 <NA> <NA> None
## 8008 50,000-59,999 0 < 1
## 8009 7,500-9,999 0 1-2
## 8010 <NA> <NA> 1-2
## 8011 1,000-1,999 1-99 < 1
## 8012 <NA> <NA> 5-10
## 8013 7,500-9,999 100-999 5-10
## 8014 <NA> <NA> 1-2
## 8015 30,000-39,999 100-999 3-5
## 8016 1,000-1,999 1-99 1-2
## 8017 <NA> <NA> 1-2
## 8018 4,000-4,999 0 1-2
## 8019 150,000-199,999 > 100,000 20+
## 8020 5,000-7,499 100-999 < 1
## 8021 <NA> <NA> 3-5
## 8022 100,000-124,999 10,000-99,999 3-5
## 8023 4,000-4,999 0 < 1
## 8024 125,000-149,999 > 100,000 20+
## 8025 60,000-69,999 0 3-5
## 8026 1,000-1,999 0 5-10
## 8027 40,000-49,999 0 3-5
## 8028 20,000-24,999 0 3-5
## 8029 7,500-9,999 1-99 3-5
## 8030 25,000-29,999 1000-9,999 1-2
## 8031 7,500-9,999 0 < 1
## 8032 1,000-1,999 0 < 1
## 8033 50,000-59,999 0 None
## 8034 20,000-24,999 10,000-99,999 10-20
## 8035 30,000-39,999 1-99 3-5
## 8036 30,000-39,999 100-999 10-20
## 8037 30,000-39,999 0 3-5
## 8038 100,000-124,999 1-99 1-2
## 8039 10,000-14,999 100-999 1-2
## 8040 <NA> <NA> 3-5
## 8041 3,000-3,999 0 3-5
## 8042 40,000-49,999 10,000-99,999 < 1
## 8043 <NA> <NA> < 1
## 8044 10,000-14,999 0 20+
## 8045 <NA> <NA> < 1
## 8046 <NA> <NA> None
## 8047 0-999 0 3-5
## 8048 100,000-124,999 1000-9,999 3-5
## 8049 70,000-79,999 1000-9,999 1-2
## 8050 150,000-199,999 0 10-20
## 8051 7,500-9,999 1000-9,999 1-2
## 8052 40,000-49,999 10,000-99,999 20+
## 8053 200,000-249,999 > 100,000 5-10
## 8054 90,000-99,999 1-99 10-20
## 8055 0-999 1-99 3-5
## 8056 0-999 0 1-2
## 8057 5,000-7,499 0 < 1
## 8058 50,000-59,999 0 None
## 8059 80,000-89,999 10,000-99,999 1-2
## 8060 30,000-39,999 10,000-99,999 5-10
## 8061 <NA> <NA> < 1
## 8062 300,000-500,000 100-999 1-2
## 8063 0-999 1-99 None
## 8064 50,000-59,999 1-99 3-5
## 8065 30,000-39,999 100-999 1-2
## 8066 150,000-199,999 1000-9,999 5-10
## 8067 100,000-124,999 1000-9,999 3-5
## 8068 10,000-14,999 1000-9,999 5-10
## 8069 0-999 0 < 1
## 8070 <NA> <NA> 3-5
## 8071 0-999 0 < 1
## 8072 70,000-79,999 1000-9,999 1-2
## 8073 90,000-99,999 0 1-2
## 8074 <NA> <NA> < 1
## 8075 90,000-99,999 0 < 1
## 8076 25,000-29,999 100-999 1-2
## 8077 <NA> <NA> < 1
## 8078 90,000-99,999 0 3-5
## 8079 25,000-29,999 100-999 3-5
## 8080 <NA> <NA> < 1
## 8081 0-999 100-999 None
## 8082 125,000-149,999 > 100,000 5-10
## 8083 <NA> <NA> 1-2
## 8084 <NA> <NA> 3-5
## 8085 40,000-49,999 0 < 1
## 8086 <NA> <NA> 10-20
## 8087 80,000-89,999 1000-9,999 10-20
## 8088 80,000-89,999 1000-9,999 3-5
## 8089 100,000-124,999 0 3-5
## 8090 20,000-24,999 1000-9,999 3-5
## 8091 2,000-2,999 1-99 3-5
## 8092 300,000-500,000 10,000-99,999 5-10
## 8093 <NA> <NA> < 1
## 8094 40,000-49,999 0 1-2
## 8095 0-999 1-99 None
## 8096 30,000-39,999 100-999 3-5
## 8097 5,000-7,499 100-999 1-2
## 8098 7,500-9,999 0 < 1
## 8099 10,000-14,999 0 < 1
## 8100 80,000-89,999 0 3-5
## 8101 7,500-9,999 0 1-2
## 8102 125,000-149,999 100-999 10-20
## 8103 <NA> <NA> 1-2
## 8104 50,000-59,999 100-999 3-5
## 8105 40,000-49,999 100-999 10-20
## 8106 25,000-29,999 0 3-5
## 8107 50,000-59,999 1000-9,999 10-20
## 8108 100,000-124,999 1000-9,999 5-10
## 8109 80,000-89,999 > 100,000 5-10
## 8110 2,000-2,999 0 1-2
## 8111 50,000-59,999 10,000-99,999 1-2
## 8112 60,000-69,999 > 100,000 3-5
## 8113 100,000-124,999 1000-9,999 3-5
## 8114 0-999 1-99 10-20
## 8115 100,000-124,999 > 100,000 3-5
## 8116 10,000-14,999 1000-9,999 3-5
## 8117 50,000-59,999 0 < 1
## 8118 70,000-79,999 100-999 None
## 8119 <NA> <NA> 1-2
## 8120 10,000-14,999 0 < 1
## 8121 100,000-124,999 1000-9,999 5-10
## 8122 0-999 0 < 1
## 8123 <NA> <NA> 3-5
## 8124 <NA> <NA> 3-5
## 8125 3,000-3,999 100-999 < 1
## 8126 100,000-124,999 1-99 10-20
## 8127 15,000-19,999 10,000-99,999 5-10
## 8128 100,000-124,999 > 100,000 1-2
## 8129 15,000-19,999 0 < 1
## 8130 <NA> <NA> None
## 8131 100,000-124,999 1000-9,999 3-5
## 8132 100,000-124,999 10,000-99,999 20+
## 8133 100,000-124,999 1000-9,999 3-5
## 8134 <NA> <NA> 3-5
## 8135 <NA> <NA> 1-2
## 8136 150,000-199,999 1000-9,999 5-10
## 8137 <NA> <NA> < 1
## 8138 1,000-1,999 1-99 < 1
## 8139 125,000-149,999 100-999 5-10
## 8140 25,000-29,999 1000-9,999 1-2
## 8141 150,000-199,999 1000-9,999 1-2
## 8142 100,000-124,999 > 100,000 5-10
## 8143 40,000-49,999 100-999 1-2
## 8144 20,000-24,999 1000-9,999 5-10
## 8145 70,000-79,999 10,000-99,999 5-10
## 8146 100,000-124,999 100-999 10-20
## 8147 0-999 1000-9,999 3-5
## 8148 <NA> <NA> < 1
## 8149 0-999 100-999 < 1
## 8150 25,000-29,999 0 5-10
## 8151 50,000-59,999 10,000-99,999 3-5
## 8152 <NA> <NA> < 1
## 8153 <NA> <NA> < 1
## 8154 70,000-79,999 1-99 3-5
## 8155 3,000-3,999 100-999 3-5
## 8156 <NA> <NA> None
## 8157 70,000-79,999 100-999 3-5
## 8158 2,000-2,999 0 1-2
## 8159 100,000-124,999 > 100,000 5-10
## 8160 7,500-9,999 1000-9,999 1-2
## 8161 150,000-199,999 10,000-99,999 5-10
## 8162 70,000-79,999 1000-9,999 3-5
## 8163 4,000-4,999 0 1-2
## 8164 2,000-2,999 1-99 3-5
## 8165 25,000-29,999 0 1-2
## 8166 <NA> <NA> < 1
## 8167 <NA> <NA> 3-5
## 8168 20,000-24,999 100-999 5-10
## 8169 125,000-149,999 1000-9,999 1-2
## 8170 15,000-19,999 1000-9,999 3-5
## 8171 <NA> <NA> < 1
## 8172 0-999 10,000-99,999 3-5
## 8173 125,000-149,999 1000-9,999 1-2
## 8174 30,000-39,999 > 100,000 20+
## 8175 <NA> <NA> 1-2
## 8176 90,000-99,999 1-99 3-5
## 8177 150,000-199,999 10,000-99,999 10-20
## 8178 90,000-99,999 0 3-5
## 8179 3,000-3,999 100-999 3-5
## 8180 1,000-1,999 1-99 3-5
## 8181 30,000-39,999 0 < 1
## 8182 2,000-2,999 100-999 1-2
## 8183 <NA> <NA> < 1
## 8184 <NA> <NA> < 1
## 8185 0-999 1-99 1-2
## 8186 50,000-59,999 100-999 3-5
## 8187 60,000-69,999 0 3-5
## 8188 60,000-69,999 0 None
## 8189 125,000-149,999 0 10-20
## 8190 <NA> <NA> 1-2
## 8191 <NA> <NA> 3-5
## 8192 5,000-7,499 0 None
## 8193 70,000-79,999 0 < 1
## 8194 80,000-89,999 100-999 1-2
## 8195 100,000-124,999 1000-9,999 3-5
## 8196 100,000-124,999 100-999 10-20
## 8197 200,000-249,999 1000-9,999 5-10
## 8198 2,000-2,999 1000-9,999 None
## 8199 50,000-59,999 0 3-5
## 8200 <NA> <NA> None
## 8201 10,000-14,999 0 20+
## 8202 <NA> <NA> 3-5
## 8203 1,000-1,999 0 1-2
## 8204 10,000-14,999 1000-9,999 1-2
## 8205 80,000-89,999 > 100,000 1-2
## 8206 30,000-39,999 1000-9,999 < 1
## 8207 250,000-299,999 > 100,000 3-5
## 8208 0-999 0 3-5
## 8209 <NA> <NA> 1-2
## 8210 20,000-24,999 10,000-99,999 5-10
## 8211 0-999 1000-9,999 3-5
## 8212 125,000-149,999 1000-9,999 5-10
## 8213 70,000-79,999 0 3-5
## 8214 80,000-89,999 10,000-99,999 3-5
## 8215 100,000-124,999 100-999 20+
## 8216 <NA> <NA> 1-2
## 8217 90,000-99,999 > 100,000 10-20
## 8218 125,000-149,999 > 100,000 5-10
## 8219 300,000-500,000 0 20+
## 8220 30,000-39,999 1-99 20+
## 8221 <NA> <NA> None
## 8222 0-999 100-999 < 1
## 8223 50,000-59,999 > 100,000 3-5
## 8224 50,000-59,999 10,000-99,999 3-5
## 8225 <NA> <NA> 1-2
## 8226 150,000-199,999 > 100,000 10-20
## 8227 40,000-49,999 1000-9,999 1-2
## 8228 <NA> <NA> 1-2
## 8229 25,000-29,999 0 1-2
## 8230 70,000-79,999 1-99 5-10
## 8231 80,000-89,999 10,000-99,999 1-2
## 8232 7,500-9,999 0 1-2
## 8233 40,000-49,999 1000-9,999 3-5
## 8234 150,000-199,999 > 100,000 20+
## 8235 10,000-14,999 100-999 3-5
## 8236 100,000-124,999 10,000-99,999 3-5
## 8237 100,000-124,999 0 5-10
## 8238 <NA> <NA> None
## 8239 80,000-89,999 0 10-20
## 8240 3,000-3,999 100-999 1-2
## 8241 150,000-199,999 10,000-99,999 10-20
## 8242 20,000-24,999 100-999 5-10
## 8243 200,000-249,999 0 3-5
## 8244 0-999 100-999 1-2
## 8245 30,000-39,999 100-999 3-5
## 8246 40,000-49,999 0 < 1
## 8247 <NA> <NA> 1-2
## 8248 <NA> <NA> < 1
## 8249 100,000-124,999 > 100,000 10-20
## 8250 <NA> <NA> 1-2
## 8251 2,000-2,999 0 1-2
## 8252 3,000-3,999 1000-9,999 1-2
## 8253 200,000-249,999 0 20+
## 8254 20,000-24,999 100-999 3-5
## 8255 150,000-199,999 1000-9,999 10-20
## 8256 100,000-124,999 > 100,000 5-10
## 8257 <NA> <NA> 20+
## 8258 5,000-7,499 10,000-99,999 3-5
## 8259 15,000-19,999 1-99 5-10
## 8260 70,000-79,999 0 5-10
## 8261 <NA> <NA> < 1
## 8262 90,000-99,999 1000-9,999 1-2
## 8263 20,000-24,999 0 < 1
## 8264 125,000-149,999 100-999 10-20
## 8265 50,000-59,999 0 1-2
## 8266 <NA> <NA> 1-2
## 8267 100,000-124,999 > 100,000 3-5
## 8268 <NA> <NA> 1-2
## 8269 20,000-24,999 0 < 1
## 8270 <NA> <NA> 1-2
## 8271 50,000-59,999 0 3-5
## 8272 40,000-49,999 0 < 1
## 8273 10,000-14,999 0 1-2
## 8274 <NA> <NA> < 1
## 8275 > 500,000 > 100,000 10-20
## 8276 30,000-39,999 0 3-5
## 8277 100,000-124,999 > 100,000 5-10
## 8278 100,000-124,999 10,000-99,999 10-20
## 8279 70,000-79,999 100-999 3-5
## 8280 <NA> <NA> 1-2
## 8281 <NA> <NA> < 1
## 8282 60,000-69,999 0 1-2
## 8283 100,000-124,999 100-999 3-5
## 8284 100,000-124,999 0 1-2
## 8285 70,000-79,999 1-99 3-5
## 8286 150,000-199,999 1000-9,999 3-5
## 8287 <NA> <NA> < 1
## 8288 <NA> <NA> 3-5
## 8289 30,000-39,999 1-99 3-5
## 8290 80,000-89,999 1000-9,999 10-20
## 8291 25,000-29,999 1000-9,999 3-5
## 8292 <NA> <NA> 1-2
## 8293 60,000-69,999 > 100,000 1-2
## 8294 40,000-49,999 100-999 5-10
## 8295 150,000-199,999 1000-9,999 3-5
## 8296 1,000-1,999 0 < 1
## 8297 1,000-1,999 100-999 3-5
## 8298 100,000-124,999 0 1-2
## 8299 200,000-249,999 0 20+
## 8300 125,000-149,999 > 100,000 3-5
## 8301 <NA> <NA> < 1
## 8302 15,000-19,999 1-99 < 1
## 8303 0-999 1-99 < 1
## 8304 <NA> <NA> 1-2
## 8305 10,000-14,999 1-99 1-2
## 8306 <NA> <NA> < 1
## 8307 80,000-89,999 0 5-10
## 8308 3,000-3,999 1000-9,999 1-2
## 8309 <NA> <NA> 1-2
## 8310 0-999 0 < 1
## 8311 70,000-79,999 1-99 < 1
## 8312 10,000-14,999 1-99 3-5
## 8313 20,000-24,999 10,000-99,999 5-10
## 8314 60,000-69,999 1000-9,999 3-5
## 8315 4,000-4,999 100-999 < 1
## 8316 0-999 0 < 1
## 8317 100,000-124,999 1000-9,999 1-2
## 8318 10,000-14,999 100-999 1-2
## 8319 60,000-69,999 0 < 1
## 8320 30,000-39,999 1000-9,999 < 1
## 8321 <NA> <NA> < 1
## 8322 <NA> <NA> 1-2
## 8323 50,000-59,999 100-999 10-20
## 8324 <NA> <NA> 1-2
## 8325 80,000-89,999 1-99 < 1
## 8326 <NA> <NA> < 1
## 8327 100,000-124,999 100-999 5-10
## 8328 60,000-69,999 > 100,000 5-10
## 8329 0-999 0 3-5
## 8330 <NA> <NA> 1-2
## 8331 10,000-14,999 0 3-5
## 8332 1,000-1,999 100-999 < 1
## 8333 10,000-14,999 0 1-2
## 8334 90,000-99,999 > 100,000 < 1
## 8335 <NA> <NA> 3-5
## 8336 40,000-49,999 100-999 3-5
## 8337 20,000-24,999 100-999 3-5
## 8338 2,000-2,999 1000-9,999 1-2
## 8339 70,000-79,999 1-99 3-5
## 8340 0-999 1-99 1-2
## 8341 <NA> <NA> < 1
## 8342 40,000-49,999 1000-9,999 3-5
## 8343 30,000-39,999 1-99 1-2
## 8344 10,000-14,999 1000-9,999 1-2
## 8345 0-999 0 1-2
## 8346 0-999 1-99 < 1
## 8347 100,000-124,999 100-999 < 1
## 8348 0-999 0 < 1
## 8349 <NA> <NA> < 1
## 8350 <NA> <NA> < 1
## 8351 <NA> <NA> < 1
## 8352 0-999 1-99 3-5
## 8353 50,000-59,999 100-999 5-10
## 8354 0-999 100-999 None
## 8355 90,000-99,999 100-999 5-10
## 8356 <NA> <NA> 1-2
## 8357 125,000-149,999 0 1-2
## 8358 <NA> <NA> 3-5
## 8359 7,500-9,999 100-999 < 1
## 8360 100,000-124,999 100-999 3-5
## 8361 150,000-199,999 10,000-99,999 10-20
## 8362 10,000-14,999 100-999 1-2
## 8363 50,000-59,999 > 100,000 5-10
## 8364 70,000-79,999 0 < 1
## 8365 <NA> <NA> 1-2
## 8366 <NA> <NA> 5-10
## 8367 80,000-89,999 1000-9,999 5-10
## 8368 10,000-14,999 > 100,000 10-20
## 8369 200,000-249,999 1000-9,999 1-2
## 8370 1,000-1,999 1-99 1-2
## 8371 100,000-124,999 100-999 10-20
## 8372 7,500-9,999 100-999 3-5
## 8373 2,000-2,999 0 < 1
## 8374 <NA> <NA> None
## 8375 60,000-69,999 10,000-99,999 5-10
## 8376 5,000-7,499 1000-9,999 1-2
## 8377 100,000-124,999 0 < 1
## 8378 <NA> <NA> 3-5
## 8379 <NA> <NA> 3-5
## 8380 <NA> <NA> < 1
## 8381 1,000-1,999 1-99 1-2
## 8382 <NA> <NA> None
## 8383 <NA> <NA> 5-10
## 8384 60,000-69,999 0 3-5
## 8385 40,000-49,999 > 100,000 10-20
## 8386 250,000-299,999 > 100,000 3-5
## 8387 0-999 100-999 < 1
## 8388 125,000-149,999 0 20+
## 8389 7,500-9,999 100-999 1-2
## 8390 100,000-124,999 1000-9,999 5-10
## 8391 70,000-79,999 1-99 1-2
## 8392 <NA> <NA> < 1
## 8393 60,000-69,999 100-999 10-20
## 8394 30,000-39,999 1000-9,999 5-10
## 8395 <NA> <NA> < 1
## 8396 90,000-99,999 1000-9,999 1-2
## 8397 1,000-1,999 1-99 < 1
## 8398 50,000-59,999 0 1-2
## 8399 50,000-59,999 100-999 3-5
## 8400 10,000-14,999 1000-9,999 3-5
## 8401 80,000-89,999 > 100,000 None
## 8402 90,000-99,999 0 10-20
## 8403 70,000-79,999 0 3-5
## 8404 60,000-69,999 0 1-2
## 8405 30,000-39,999 0 5-10
## 8406 125,000-149,999 > 100,000 1-2
## 8407 7,500-9,999 0 1-2
## 8408 0-999 0 < 1
## 8409 15,000-19,999 100-999 < 1
## 8410 0-999 0 3-5
## 8411 50,000-59,999 10,000-99,999 1-2
## 8412 300,000-500,000 10,000-99,999 1-2
## 8413 25,000-29,999 0 20+
## 8414 25,000-29,999 0 1-2
## 8415 40,000-49,999 1-99 5-10
## 8416 1,000-1,999 0 < 1
## 8417 125,000-149,999 > 100,000 20+
## 8418 <NA> <NA> None
## 8419 <NA> <NA> 3-5
## 8420 <NA> <NA> 1-2
## 8421 90,000-99,999 1000-9,999 10-20
## 8422 0-999 10,000-99,999 10-20
## 8423 <NA> <NA> 5-10
## 8424 10,000-14,999 1-99 < 1
## 8425 <NA> <NA> 20+
## 8426 15,000-19,999 10,000-99,999 5-10
## 8427 <NA> <NA> < 1
## 8428 60,000-69,999 100-999 3-5
## 8429 <NA> <NA> 20+
## 8430 150,000-199,999 > 100,000 20+
## 8431 100,000-124,999 0 3-5
## 8432 50,000-59,999 0 3-5
## 8433 150,000-199,999 > 100,000 10-20
## 8434 80,000-89,999 100-999 5-10
## 8435 40,000-49,999 0 < 1
## 8436 125,000-149,999 1000-9,999 1-2
## 8437 20,000-24,999 0 3-5
## 8438 <NA> <NA> 3-5
## 8439 <NA> <NA> < 1
## 8440 125,000-149,999 1000-9,999 3-5
## 8441 60,000-69,999 10,000-99,999 < 1
## 8442 4,000-4,999 0 5-10
## 8443 150,000-199,999 1000-9,999 3-5
## 8444 150,000-199,999 > 100,000 5-10
## 8445 25,000-29,999 1000-9,999 3-5
## 8446 0-999 1-99 < 1
## 8447 50,000-59,999 > 100,000 3-5
## 8448 70,000-79,999 0 1-2
## 8449 25,000-29,999 1000-9,999 3-5
## 8450 <NA> <NA> < 1
## 8451 40,000-49,999 1000-9,999 1-2
## 8452 2,000-2,999 1-99 < 1
## 8453 80,000-89,999 1000-9,999 10-20
## 8454 50,000-59,999 1-99 1-2
## 8455 150,000-199,999 0 20+
## 8456 <NA> <NA> 1-2
## 8457 <NA> <NA> < 1
## 8458 125,000-149,999 0 10-20
## 8459 <NA> <NA> < 1
## 8460 90,000-99,999 0 < 1
## 8461 <NA> <NA> < 1
## 8462 50,000-59,999 10,000-99,999 5-10
## 8463 50,000-59,999 100-999 1-2
## 8464 100,000-124,999 1000-9,999 20+
## 8465 90,000-99,999 100-999 5-10
## 8466 70,000-79,999 > 100,000 3-5
## 8467 <NA> <NA> < 1
## 8468 90,000-99,999 0 None
## 8469 <NA> <NA> None
## 8470 150,000-199,999 10,000-99,999 20+
## 8471 150,000-199,999 10,000-99,999 3-5
## 8472 150,000-199,999 1000-9,999 3-5
## 8473 30,000-39,999 1-99 5-10
## 8474 <NA> <NA> 3-5
## 8475 0-999 10,000-99,999 20+
## 8476 15,000-19,999 0 5-10
## 8477 200,000-249,999 > 100,000 20+
## 8478 60,000-69,999 100-999 5-10
## 8479 0-999 1-99 < 1
## 8480 50,000-59,999 1-99 < 1
## 8481 100,000-124,999 > 100,000 3-5
## 8482 0-999 0 < 1
## 8483 > 500,000 0 None
## 8484 80,000-89,999 1-99 10-20
## 8485 0-999 0 20+
## 8486 100,000-124,999 0 None
## 8487 <NA> <NA> 1-2
## 8488 40,000-49,999 1-99 5-10
## 8489 40,000-49,999 1000-9,999 1-2
## 8490 <NA> <NA> None
## 8491 100,000-124,999 100-999 3-5
## 8492 <NA> <NA> < 1
## 8493 150,000-199,999 > 100,000 10-20
## 8494 30,000-39,999 100-999 1-2
## 8495 70,000-79,999 0 10-20
## 8496 <NA> <NA> < 1
## 8497 0-999 100-999 1-2
## 8498 0-999 100-999 < 1
## 8499 1,000-1,999 1000-9,999 < 1
## 8500 150,000-199,999 10,000-99,999 5-10
## 8501 150,000-199,999 0 10-20
## 8502 80,000-89,999 10,000-99,999 20+
## 8503 <NA> <NA> 3-5
## 8504 10,000-14,999 > 100,000 < 1
## 8505 <NA> <NA> 3-5
## 8506 70,000-79,999 0 3-5
## 8507 20,000-24,999 100-999 5-10
## 8508 <NA> <NA> 1-2
## 8509 7,500-9,999 100-999 5-10
## 8510 > 500,000 > 100,000 5-10
## 8511 > 500,000 100-999 20+
## 8512 <NA> <NA> 3-5
## 8513 125,000-149,999 > 100,000 20+
## 8514 0-999 1-99 1-2
## 8515 20,000-24,999 100-999 10-20
## 8516 150,000-199,999 100-999 None
## 8517 1,000-1,999 1000-9,999 1-2
## 8518 100,000-124,999 0 5-10
## 8519 <NA> <NA> 1-2
## 8520 150,000-199,999 > 100,000 3-5
## 8521 <NA> <NA> < 1
## 8522 40,000-49,999 0 3-5
## 8523 50,000-59,999 10,000-99,999 5-10
## 8524 <NA> <NA> < 1
## 8525 80,000-89,999 10,000-99,999 None
## 8526 <NA> <NA> 3-5
## 8527 50,000-59,999 0 < 1
## 8528 <NA> <NA> < 1
## 8529 <NA> <NA> < 1
## 8530 70,000-79,999 0 5-10
## 8531 20,000-24,999 10,000-99,999 < 1
## 8532 20,000-24,999 1-99 5-10
## 8533 10,000-14,999 1000-9,999 < 1
## 8534 2,000-2,999 1000-9,999 < 1
## 8535 125,000-149,999 10,000-99,999 10-20
## 8536 150,000-199,999 0 10-20
## 8537 300,000-500,000 > 100,000 20+
## 8538 <NA> <NA> < 1
## 8539 <NA> <NA> 1-2
## 8540 80,000-89,999 10,000-99,999 20+
## 8541 3,000-3,999 10,000-99,999 3-5
## 8542 150,000-199,999 10,000-99,999 10-20
## 8543 <NA> <NA> < 1
## 8544 <NA> <NA> None
## 8545 15,000-19,999 100-999 < 1
## 8546 50,000-59,999 0 5-10
## 8547 <NA> <NA> < 1
## 8548 50,000-59,999 0 3-5
## 8549 10,000-14,999 100-999 1-2
## 8550 <NA> <NA> < 1
## 8551 0-999 0 < 1
## 8552 0-999 0 3-5
## 8553 20,000-24,999 1000-9,999 3-5
## 8554 7,500-9,999 100-999 < 1
## 8555 100,000-124,999 0 5-10
## 8556 <NA> <NA> 5-10
## 8557 25,000-29,999 > 100,000 3-5
## 8558 <NA> <NA> < 1
## 8559 <NA> <NA> < 1
## 8560 30,000-39,999 0 1-2
## 8561 80,000-89,999 0 1-2
## 8562 20,000-24,999 0 3-5
## 8563 60,000-69,999 1000-9,999 1-2
## 8564 2,000-2,999 0 3-5
## 8565 <NA> <NA> 5-10
## 8566 1,000-1,999 0 1-2
## 8567 100,000-124,999 > 100,000 20+
## 8568 <NA> <NA> 10-20
## 8569 0-999 0 5-10
## 8570 0-999 1-99 < 1
## 8571 <NA> <NA> None
## 8572 <NA> <NA> 1-2
## 8573 5,000-7,499 1000-9,999 1-2
## 8574 0-999 100-999 < 1
## 8575 15,000-19,999 100-999 1-2
## 8576 60,000-69,999 1-99 3-5
## 8577 2,000-2,999 0 None
## 8578 3,000-3,999 1-99 3-5
## 8579 <NA> <NA> 1-2
## 8580 30,000-39,999 1000-9,999 3-5
## 8581 <NA> <NA> 1-2
## 8582 40,000-49,999 100-999 3-5
## 8583 150,000-199,999 100-999 10-20
## 8584 40,000-49,999 10,000-99,999 1-2
## 8585 0-999 1-99 < 1
## 8586 <NA> <NA> 1-2
## 8587 40,000-49,999 100-999 < 1
## 8588 150,000-199,999 1000-9,999 10-20
## 8589 60,000-69,999 1000-9,999 < 1
## 8590 125,000-149,999 0 5-10
## 8591 <NA> <NA> 1-2
## 8592 50,000-59,999 100-999 5-10
## 8593 0-999 0 3-5
## 8594 250,000-299,999 > 100,000 None
## 8595 <NA> <NA> < 1
## 8596 100,000-124,999 1-99 1-2
## 8597 100,000-124,999 0 1-2
## 8598 100,000-124,999 > 100,000 5-10
## 8599 30,000-39,999 100-999 3-5
## 8600 60,000-69,999 0 < 1
## 8601 <NA> <NA> 3-5
## 8602 0-999 1-99 1-2
## 8603 70,000-79,999 > 100,000 3-5
## 8604 0-999 0 < 1
## 8605 40,000-49,999 1000-9,999 5-10
## 8606 125,000-149,999 > 100,000 10-20
## 8607 50,000-59,999 > 100,000 10-20
## 8608 90,000-99,999 1000-9,999 < 1
## 8609 4,000-4,999 1-99 < 1
## 8610 100,000-124,999 0 < 1
## 8611 2,000-2,999 1-99 10-20
## 8612 25,000-29,999 0 1-2
## 8613 150,000-199,999 0 None
## 8614 100,000-124,999 1000-9,999 5-10
## 8615 30,000-39,999 100-999 3-5
## 8616 100,000-124,999 0 1-2
## 8617 50,000-59,999 100-999 < 1
## 8618 30,000-39,999 10,000-99,999 1-2
## 8619 40,000-49,999 1-99 < 1
## 8620 <NA> <NA> 3-5
## 8621 0-999 1-99 < 1
## 8622 100,000-124,999 100-999 5-10
## 8623 100,000-124,999 1-99 10-20
## 8624 90,000-99,999 1000-9,999 5-10
## 8625 80,000-89,999 100-999 1-2
## 8626 <NA> <NA> < 1
## 8627 25,000-29,999 0 20+
## 8628 2,000-2,999 100-999 5-10
## 8629 25,000-29,999 10,000-99,999 3-5
## 8630 <NA> <NA> < 1
## 8631 125,000-149,999 100-999 5-10
## 8632 100,000-124,999 0 5-10
## 8633 100,000-124,999 > 100,000 < 1
## 8634 7,500-9,999 100-999 1-2
## 8635 5,000-7,499 1000-9,999 3-5
## 8636 <NA> <NA> 3-5
## 8637 90,000-99,999 0 5-10
## 8638 125,000-149,999 1000-9,999 1-2
## 8639 <NA> <NA> 3-5
## 8640 100,000-124,999 10,000-99,999 5-10
## 8641 15,000-19,999 0 None
## 8642 <NA> <NA> < 1
## 8643 0-999 0 20+
## 8644 125,000-149,999 1000-9,999 10-20
## 8645 70,000-79,999 0 < 1
## 8646 200,000-249,999 1000-9,999 10-20
## 8647 50,000-59,999 1-99 3-5
## 8648 5,000-7,499 1000-9,999 3-5
## 8649 10,000-14,999 1000-9,999 1-2
## 8650 <NA> <NA> < 1
## 8651 10,000-14,999 1000-9,999 1-2
## 8652 <NA> <NA> < 1
## 8653 <NA> <NA> 1-2
## 8654 80,000-89,999 10,000-99,999 5-10
## 8655 <NA> <NA> 1-2
## 8656 0-999 100-999 10-20
## 8657 5,000-7,499 1-99 None
## 8658 150,000-199,999 > 100,000 10-20
## 8659 25,000-29,999 0 None
## 8660 50,000-59,999 10,000-99,999 3-5
## 8661 1,000-1,999 0 3-5
## 8662 <NA> <NA> 1-2
## 8663 <NA> <NA> 3-5
## 8664 40,000-49,999 100-999 3-5
## 8665 60,000-69,999 > 100,000 5-10
## 8666 <NA> <NA> 3-5
## 8667 5,000-7,499 100-999 3-5
## 8668 0-999 0 None
## 8669 <NA> <NA> 10-20
## 8670 0-999 0 1-2
## 8671 <NA> <NA> < 1
## 8672 5,000-7,499 0 < 1
## 8673 100,000-124,999 10,000-99,999 5-10
## 8674 40,000-49,999 0 1-2
## 8675 100,000-124,999 1000-9,999 5-10
## 8676 <NA> <NA> 1-2
## 8677 <NA> <NA> 1-2
## 8678 5,000-7,499 1-99 3-5
## 8679 4,000-4,999 0 1-2
## 8680 <NA> <NA> None
## 8681 4,000-4,999 100-999 1-2
## 8682 70,000-79,999 0 < 1
## 8683 150,000-199,999 100-999 20+
## 8684 <NA> <NA> 1-2
## 8685 125,000-149,999 0 None
## 8686 0-999 0 3-5
## 8687 90,000-99,999 0 3-5
## 8688 90,000-99,999 0 < 1
## 8689 15,000-19,999 1000-9,999 5-10
## 8690 0-999 0 < 1
## 8691 100,000-124,999 > 100,000 1-2
## 8692 125,000-149,999 100-999 20+
## 8693 0-999 0 None
## 8694 70,000-79,999 100-999 1-2
## 8695 <NA> <NA> < 1
## 8696 125,000-149,999 100-999 3-5
## 8697 4,000-4,999 100-999 1-2
## 8698 70,000-79,999 1-99 None
## 8699 90,000-99,999 > 100,000 20+
## 8700 <NA> <NA> 1-2
## 8701 1,000-1,999 100-999 5-10
## 8702 40,000-49,999 100-999 < 1
## 8703 100,000-124,999 0 1-2
## 8704 0-999 100-999 3-5
## 8705 40,000-49,999 0 20+
## 8706 4,000-4,999 1-99 3-5
## 8707 25,000-29,999 1-99 5-10
## 8708 0-999 0 < 1
## 8709 125,000-149,999 1000-9,999 5-10
## 8710 0-999 0 < 1
## 8711 <NA> <NA> < 1
## 8712 <NA> <NA> 20+
## 8713 125,000-149,999 1000-9,999 1-2
## 8714 7,500-9,999 1-99 < 1
## 8715 70,000-79,999 0 5-10
## 8716 <NA> <NA> < 1
## 8717 50,000-59,999 1000-9,999 20+
## 8718 0-999 0 < 1
## 8719 40,000-49,999 100-999 1-2
## 8720 100,000-124,999 1000-9,999 < 1
## 8721 <NA> <NA> 1-2
## 8722 70,000-79,999 0 3-5
## 8723 70,000-79,999 0 < 1
## 8724 4,000-4,999 0 1-2
## 8725 <NA> <NA> 1-2
## 8726 15,000-19,999 1000-9,999 1-2
## 8727 10,000-14,999 0 < 1
## 8728 1,000-1,999 1-99 3-5
## 8729 <NA> <NA> None
## 8730 60,000-69,999 100-999 < 1
## 8731 30,000-39,999 1000-9,999 1-2
## 8732 150,000-199,999 100-999 3-5
## 8733 3,000-3,999 > 100,000 < 1
## 8734 <NA> <NA> 3-5
## 8735 150,000-199,999 > 100,000 10-20
## 8736 <NA> <NA> 20+
## 8737 90,000-99,999 100-999 < 1
## 8738 50,000-59,999 10,000-99,999 < 1
## 8739 5,000-7,499 100-999 < 1
## 8740 5,000-7,499 0 < 1
## 8741 15,000-19,999 100-999 1-2
## 8742 1,000-1,999 10,000-99,999 5-10
## 8743 <NA> <NA> 3-5
## 8744 0-999 1-99 3-5
## 8745 <NA> <NA> < 1
## 8746 <NA> <NA> < 1
## 8747 2,000-2,999 1000-9,999 < 1
## 8748 1,000-1,999 1-99 1-2
## 8749 100,000-124,999 0 10-20
## 8750 70,000-79,999 0 1-2
## 8751 0-999 1000-9,999 3-5
## 8752 <NA> <NA> < 1
## 8753 100,000-124,999 1000-9,999 < 1
## 8754 90,000-99,999 1000-9,999 5-10
## 8755 0-999 0 None
## 8756 <NA> <NA> < 1
## 8757 100,000-124,999 0 None
## 8758 10,000-14,999 > 100,000 < 1
## 8759 150,000-199,999 0 3-5
## 8760 <NA> <NA> 1-2
## 8761 40,000-49,999 0 < 1
## 8762 60,000-69,999 1000-9,999 3-5
## 8763 200,000-249,999 0 3-5
## 8764 90,000-99,999 > 100,000 1-2
## 8765 50,000-59,999 0 1-2
## 8766 5,000-7,499 0 1-2
## 8767 300,000-500,000 0 5-10
## 8768 0-999 0 < 1
## 8769 7,500-9,999 0 None
## 8770 <NA> <NA> None
## 8771 125,000-149,999 100-999 3-5
## 8772 60,000-69,999 > 100,000 5-10
## 8773 10,000-14,999 1000-9,999 1-2
## 8774 <NA> <NA> < 1
## 8775 90,000-99,999 100-999 20+
## 8776 80,000-89,999 > 100,000 5-10
## 8777 <NA> <NA> 1-2
## 8778 150,000-199,999 > 100,000 10-20
## 8779 60,000-69,999 1000-9,999 5-10
## 8780 <NA> <NA> < 1
## 8781 0-999 100-999 5-10
## 8782 <NA> <NA> < 1
## 8783 <NA> <NA> 1-2
## 8784 4,000-4,999 100-999 1-2
## 8785 60,000-69,999 100-999 3-5
## 8786 1,000-1,999 100-999 5-10
## 8787 30,000-39,999 1-99 3-5
## 8788 80,000-89,999 1-99 10-20
## 8789 20,000-24,999 0 < 1
## 8790 50,000-59,999 10,000-99,999 3-5
## 8791 20,000-24,999 100-999 10-20
## 8792 200,000-249,999 > 100,000 20+
## 8793 0-999 0 None
## 8794 20,000-24,999 1-99 1-2
## 8795 40,000-49,999 0 None
## 8796 <NA> <NA> < 1
## 8797 70,000-79,999 10,000-99,999 1-2
## 8798 0-999 0 1-2
## 8799 <NA> <NA> < 1
## 8800 2,000-2,999 100-999 3-5
## 8801 10,000-14,999 1000-9,999 1-2
## 8802 80,000-89,999 0 10-20
## 8803 0-999 0 < 1
## 8804 60,000-69,999 0 5-10
## 8805 5,000-7,499 100-999 < 1
## 8806 0-999 1000-9,999 < 1
## 8807 5,000-7,499 1-99 1-2
## 8808 7,500-9,999 0 3-5
## 8809 <NA> <NA> 1-2
## 8810 <NA> <NA> < 1
## 8811 <NA> <NA> None
## 8812 25,000-29,999 0 < 1
## 8813 50,000-59,999 100-999 3-5
## 8814 1,000-1,999 100-999 3-5
## 8815 <NA> <NA> < 1
## 8816 1,000-1,999 1000-9,999 3-5
## 8817 5,000-7,499 0 < 1
## 8818 40,000-49,999 1000-9,999 1-2
## 8819 70,000-79,999 1-99 3-5
## 8820 0-999 1-99 < 1
## 8821 <NA> <NA> 1-2
## 8822 50,000-59,999 0 5-10
## 8823 5,000-7,499 1000-9,999 5-10
## 8824 10,000-14,999 0 3-5
## 8825 25,000-29,999 100-999 1-2
## 8826 0-999 0 < 1
## 8827 40,000-49,999 1000-9,999 5-10
## 8828 <NA> <NA> None
## 8829 <NA> <NA> < 1
## 8830 50,000-59,999 > 100,000 1-2
## 8831 70,000-79,999 100-999 3-5
## 8832 1,000-1,999 0 None
## 8833 50,000-59,999 0 3-5
## 8834 15,000-19,999 0 1-2
## 8835 <NA> <NA> 1-2
## 8836 200,000-249,999 > 100,000 3-5
## 8837 30,000-39,999 > 100,000 5-10
## 8838 70,000-79,999 1000-9,999 5-10
## 8839 100,000-124,999 100-999 3-5
## 8840 125,000-149,999 1000-9,999 20+
## 8841 100,000-124,999 0 3-5
## 8842 300,000-500,000 1000-9,999 1-2
## 8843 <NA> <NA> < 1
## 8844 0-999 100-999 < 1
## 8845 30,000-39,999 1000-9,999 3-5
## 8846 300,000-500,000 1000-9,999 None
## 8847 80,000-89,999 1000-9,999 20+
## 8848 5,000-7,499 1-99 < 1
## 8849 <NA> <NA> < 1
## 8850 <NA> <NA> < 1
## 8851 10,000-14,999 0 1-2
## 8852 <NA> <NA> < 1
## 8853 30,000-39,999 10,000-99,999 5-10
## 8854 100,000-124,999 10,000-99,999 10-20
## 8855 25,000-29,999 100-999 10-20
## 8856 2,000-2,999 0 3-5
## 8857 10,000-14,999 1-99 None
## 8858 40,000-49,999 10,000-99,999 < 1
## 8859 <NA> <NA> 3-5
## 8860 <NA> <NA> 10-20
## 8861 150,000-199,999 0 20+
## 8862 150,000-199,999 10,000-99,999 20+
## 8863 30,000-39,999 1000-9,999 3-5
## 8864 <NA> <NA> < 1
## 8865 150,000-199,999 1000-9,999 5-10
## 8866 1,000-1,999 1000-9,999 1-2
## 8867 80,000-89,999 1-99 3-5
## 8868 1,000-1,999 0 < 1
## 8869 150,000-199,999 10,000-99,999 5-10
## 8870 50,000-59,999 10,000-99,999 3-5
## 8871 200,000-249,999 1000-9,999 5-10
## 8872 <NA> <NA> 1-2
## 8873 70,000-79,999 1000-9,999 5-10
## 8874 100,000-124,999 10,000-99,999 1-2
## 8875 <NA> <NA> 1-2
## 8876 125,000-149,999 100-999 3-5
## 8877 4,000-4,999 1-99 None
## 8878 0-999 10,000-99,999 10-20
## 8879 15,000-19,999 100-999 5-10
## 8880 60,000-69,999 100-999 10-20
## 8881 15,000-19,999 1-99 < 1
## 8882 1,000-1,999 1-99 None
## 8883 125,000-149,999 1000-9,999 3-5
## 8884 250,000-299,999 > 100,000 10-20
## 8885 50,000-59,999 10,000-99,999 10-20
## 8886 <NA> <NA> 1-2
## 8887 40,000-49,999 10,000-99,999 3-5
## 8888 90,000-99,999 1-99 3-5
## 8889 40,000-49,999 100-999 5-10
## 8890 15,000-19,999 100-999 1-2
## 8891 3,000-3,999 100-999 < 1
## 8892 60,000-69,999 0 1-2
## 8893 15,000-19,999 1000-9,999 < 1
## 8894 60,000-69,999 100-999 < 1
## 8895 40,000-49,999 0 3-5
## 8896 <NA> <NA> < 1
## 8897 <NA> <NA> 1-2
## 8898 30,000-39,999 1000-9,999 3-5
## 8899 50,000-59,999 100-999 1-2
## 8900 <NA> <NA> < 1
## 8901 1,000-1,999 1000-9,999 1-2
## 8902 <NA> <NA> None
## 8903 0-999 100-999 5-10
## 8904 <NA> <NA> 3-5
## 8905 40,000-49,999 0 3-5
## 8906 10,000-14,999 0 None
## 8907 <NA> <NA> < 1
## 8908 5,000-7,499 100-999 1-2
## 8909 <NA> <NA> 1-2
## 8910 <NA> <NA> 3-5
## 8911 60,000-69,999 1000-9,999 3-5
## 8912 50,000-59,999 0 20+
## 8913 <NA> <NA> 20+
## 8914 2,000-2,999 100-999 < 1
## 8915 50,000-59,999 100-999 5-10
## 8916 <NA> <NA> 3-5
## 8917 <NA> <NA> 1-2
## 8918 60,000-69,999 100-999 < 1
## 8919 150,000-199,999 100-999 1-2
## 8920 3,000-3,999 1000-9,999 3-5
## 8921 0-999 0 < 1
## 8922 100,000-124,999 1000-9,999 5-10
## 8923 3,000-3,999 1000-9,999 < 1
## 8924 150,000-199,999 1000-9,999 10-20
## 8925 <NA> <NA> < 1
## 8926 5,000-7,499 0 3-5
## 8927 3,000-3,999 1000-9,999 10-20
## 8928 80,000-89,999 0 1-2
## 8929 4,000-4,999 1-99 < 1
## 8930 30,000-39,999 0 None
## 8931 25,000-29,999 1000-9,999 3-5
## 8932 80,000-89,999 0 5-10
## 8933 25,000-29,999 0 3-5
## 8934 0-999 1-99 1-2
## 8935 30,000-39,999 100-999 10-20
## 8936 200,000-249,999 > 100,000 10-20
## 8937 <NA> <NA> < 1
## 8938 25,000-29,999 10,000-99,999 3-5
## 8939 1,000-1,999 10,000-99,999 1-2
## 8940 100,000-124,999 10,000-99,999 5-10
## 8941 125,000-149,999 10,000-99,999 10-20
## 8942 10,000-14,999 1000-9,999 5-10
## 8943 1,000-1,999 100-999 1-2
## 8944 1,000-1,999 1000-9,999 < 1
## 8945 50,000-59,999 1000-9,999 < 1
## 8946 30,000-39,999 0 5-10
## 8947 100,000-124,999 1000-9,999 1-2
## 8948 <NA> <NA> < 1
## 8949 0-999 1000-9,999 3-5
## 8950 <NA> <NA> 1-2
## 8951 <NA> <NA> 1-2
## 8952 2,000-2,999 1-99 1-2
## 8953 150,000-199,999 1000-9,999 3-5
## 8954 150,000-199,999 1000-9,999 5-10
## 8955 50,000-59,999 10,000-99,999 3-5
## 8956 90,000-99,999 100-999 3-5
## 8957 4,000-4,999 0 None
## 8958 20,000-24,999 > 100,000 3-5
## 8959 4,000-4,999 100-999 < 1
## 8960 1,000-1,999 0 3-5
## 8961 70,000-79,999 1-99 1-2
## 8962 10,000-14,999 100-999 3-5
## 8963 40,000-49,999 1-99 5-10
## 8964 0-999 1000-9,999 < 1
## 8965 <NA> <NA> < 1
## 8966 125,000-149,999 10,000-99,999 5-10
## 8967 0-999 0 None
## 8968 <NA> <NA> 1-2
## 8969 15,000-19,999 1-99 < 1
## 8970 20,000-24,999 0 1-2
## 8971 100,000-124,999 1000-9,999 5-10
## 8972 <NA> <NA> 5-10
## 8973 0-999 100-999 < 1
## 8974 150,000-199,999 10,000-99,999 5-10
## 8975 <NA> <NA> None
## 8976 0-999 100-999 5-10
## 8977 100,000-124,999 10,000-99,999 1-2
## 8978 125,000-149,999 1-99 5-10
## 8979 <NA> <NA> < 1
## 8980 100,000-124,999 1000-9,999 < 1
## 8981 25,000-29,999 100-999 3-5
## 8982 5,000-7,499 1000-9,999 < 1
## 8983 50,000-59,999 0 < 1
## 8984 0-999 100-999 < 1
## 8985 300,000-500,000 0 None
## 8986 2,000-2,999 0 1-2
## 8987 1,000-1,999 1-99 None
## 8988 2,000-2,999 1000-9,999 1-2
## 8989 <NA> <NA> < 1
## 8990 70,000-79,999 10,000-99,999 20+
## 8991 <NA> <NA> 1-2
## 8992 40,000-49,999 1000-9,999 1-2
## 8993 0-999 0 < 1
## 8994 10,000-14,999 100-999 1-2
## 8995 <NA> <NA> < 1
## 8996 <NA> <NA> 1-2
## 8997 7,500-9,999 0 1-2
## 8998 0-999 10,000-99,999 3-5
## 8999 0-999 100-999 10-20
## 9000 1,000-1,999 100-999 5-10
## 9001 <NA> <NA> < 1
## 9002 20,000-24,999 1000-9,999 3-5
## 9003 4,000-4,999 100-999 1-2
## 9004 <NA> <NA> < 1
## 9005 <NA> <NA> 3-5
## 9006 <NA> <NA> 1-2
## 9007 50,000-59,999 100-999 10-20
## 9008 2,000-2,999 100-999 3-5
## 9009 <NA> <NA> 1-2
## 9010 30,000-39,999 10,000-99,999 3-5
## 9011 <NA> <NA> 3-5
## 9012 100,000-124,999 1000-9,999 1-2
## 9013 <NA> <NA> 3-5
## 9014 0-999 0 < 1
## 9015 0-999 100-999 < 1
## 9016 <NA> <NA> < 1
## 9017 7,500-9,999 100-999 1-2
## 9018 150,000-199,999 > 100,000 20+
## 9019 <NA> <NA> < 1
## 9020 200,000-249,999 1000-9,999 20+
## 9021 <NA> <NA> 3-5
## 9022 90,000-99,999 0 < 1
## 9023 1,000-1,999 1-99 < 1
## 9024 <NA> <NA> 1-2
## 9025 7,500-9,999 1000-9,999 20+
## 9026 125,000-149,999 1000-9,999 3-5
## 9027 5,000-7,499 0 < 1
## 9028 60,000-69,999 0 3-5
## 9029 20,000-24,999 1-99 3-5
## 9030 <NA> <NA> < 1
## 9031 300,000-500,000 10,000-99,999 None
## 9032 <NA> <NA> 3-5
## 9033 0-999 100-999 1-2
## 9034 200,000-249,999 > 100,000 10-20
## 9035 <NA> <NA> < 1
## 9036 0-999 0 1-2
## 9037 30,000-39,999 0 5-10
## 9038 10,000-14,999 100-999 3-5
## 9039 200,000-249,999 10,000-99,999 10-20
## 9040 <NA> <NA> 1-2
## 9041 60,000-69,999 100-999 5-10
## 9042 <NA> <NA> 1-2
## 9043 10,000-14,999 0 3-5
## 9044 150,000-199,999 100-999 10-20
## 9045 2,000-2,999 1000-9,999 1-2
## 9046 <NA> <NA> 3-5
## 9047 0-999 100-999 None
## 9048 <NA> <NA> None
## 9049 40,000-49,999 > 100,000 1-2
## 9050 <NA> <NA> < 1
## 9051 300,000-500,000 1000-9,999 10-20
## 9052 150,000-199,999 0 3-5
## 9053 <NA> <NA> < 1
## 9054 <NA> <NA> < 1
## 9055 70,000-79,999 1-99 5-10
## 9056 5,000-7,499 100-999 < 1
## 9057 <NA> <NA> 1-2
## 9058 0-999 100-999 1-2
## 9059 125,000-149,999 100-999 3-5
## 9060 <NA> <NA> < 1
## 9061 70,000-79,999 0 1-2
## 9062 30,000-39,999 1-99 3-5
## 9063 30,000-39,999 0 5-10
## 9064 10,000-14,999 0 1-2
## 9065 0-999 0 None
## 9066 <NA> <NA> 5-10
## 9067 15,000-19,999 1-99 5-10
## 9068 5,000-7,499 100-999 1-2
## 9069 <NA> <NA> 1-2
## 9070 20,000-24,999 10,000-99,999 3-5
## 9071 <NA> <NA> 1-2
## 9072 80,000-89,999 10,000-99,999 3-5
## 9073 100,000-124,999 10,000-99,999 1-2
## 9074 5,000-7,499 1-99 < 1
## 9075 30,000-39,999 0 1-2
## 9076 1,000-1,999 0 3-5
## 9077 50,000-59,999 10,000-99,999 10-20
## 9078 30,000-39,999 0 3-5
## 9079 <NA> <NA> < 1
## 9080 150,000-199,999 100-999 3-5
## 9081 5,000-7,499 1-99 1-2
## 9082 <NA> <NA> 1-2
## 9083 <NA> <NA> < 1
## 9084 10,000-14,999 0 < 1
## 9085 30,000-39,999 1000-9,999 < 1
## 9086 40,000-49,999 1000-9,999 5-10
## 9087 50,000-59,999 100-999 1-2
## 9088 <NA> <NA> 1-2
## 9089 <NA> <NA> 3-5
## 9090 30,000-39,999 0 5-10
## 9091 <NA> <NA> 1-2
## 9092 <NA> <NA> 1-2
## 9093 <NA> <NA> 1-2
## 9094 3,000-3,999 0 < 1
## 9095 30,000-39,999 0 < 1
## 9096 <NA> <NA> < 1
## 9097 150,000-199,999 1000-9,999 5-10
## 9098 <NA> <NA> 3-5
## 9099 70,000-79,999 10,000-99,999 5-10
## 9100 <NA> <NA> < 1
## 9101 <NA> <NA> < 1
## 9102 4,000-4,999 100-999 1-2
## 9103 20,000-24,999 1-99 None
## 9104 <NA> <NA> 1-2
## 9105 <NA> <NA> None
## 9106 150,000-199,999 10,000-99,999 5-10
## 9107 1,000-1,999 100-999 3-5
## 9108 <NA> <NA> < 1
## 9109 <NA> <NA> 1-2
## 9110 0-999 0 10-20
## 9111 50,000-59,999 100-999 < 1
## 9112 90,000-99,999 0 3-5
## 9113 150,000-199,999 1000-9,999 20+
## 9114 2,000-2,999 1000-9,999 3-5
## 9115 40,000-49,999 1000-9,999 3-5
## 9116 <NA> <NA> None
## 9117 60,000-69,999 0 1-2
## 9118 <NA> <NA> 1-2
## 9119 100,000-124,999 100-999 20+
## 9120 100,000-124,999 0 20+
## 9121 10,000-14,999 > 100,000 1-2
## 9122 15,000-19,999 0 1-2
## 9123 <NA> <NA> 1-2
## 9124 90,000-99,999 0 < 1
## 9125 0-999 0 < 1
## 9126 <NA> <NA> None
## 9127 100,000-124,999 10,000-99,999 10-20
## 9128 0-999 1000-9,999 < 1
## 9129 <NA> <NA> 3-5
## 9130 <NA> <NA> < 1
## 9131 <NA> <NA> 1-2
## 9132 30,000-39,999 1-99 1-2
## 9133 40,000-49,999 1000-9,999 5-10
## 9134 0-999 100-999 1-2
## 9135 30,000-39,999 100-999 None
## 9136 4,000-4,999 0 None
## 9137 <NA> <NA> 1-2
## 9138 125,000-149,999 100-999 1-2
## 9139 > 500,000 10,000-99,999 10-20
## 9140 <NA> <NA> 1-2
## 9141 15,000-19,999 100-999 < 1
## 9142 5,000-7,499 10,000-99,999 None
## 9143 0-999 0 1-2
## 9144 5,000-7,499 0 < 1
## 9145 7,500-9,999 1-99 1-2
## 9146 <NA> <NA> None
## 9147 <NA> <NA> < 1
## 9148 70,000-79,999 100-999 None
## 9149 <NA> <NA> 1-2
## 9150 5,000-7,499 0 1-2
## 9151 <NA> <NA> < 1
## 9152 5,000-7,499 0 None
## 9153 7,500-9,999 1-99 < 1
## 9154 0-999 100-999 < 1
## 9155 15,000-19,999 100-999 20+
## 9156 <NA> <NA> < 1
## 9157 5,000-7,499 100-999 < 1
## 9158 10,000-14,999 0 5-10
## 9159 1,000-1,999 1-99 1-2
## 9160 <NA> <NA> 3-5
## 9161 10,000-14,999 0 1-2
## 9162 80,000-89,999 10,000-99,999 3-5
## 9163 <NA> <NA> 1-2
## 9164 10,000-14,999 100-999 < 1
## 9165 <NA> <NA> < 1
## 9166 30,000-39,999 100-999 1-2
## 9167 60,000-69,999 10,000-99,999 5-10
## 9168 0-999 1-99 < 1
## 9169 <NA> <NA> 3-5
## 9170 <NA> <NA> < 1
## 9171 10,000-14,999 1-99 < 1
## 9172 <NA> <NA> < 1
## 9173 <NA> <NA> 1-2
## 9174 100,000-124,999 > 100,000 3-5
## 9175 150,000-199,999 10,000-99,999 1-2
## 9176 <NA> <NA> 1-2
## 9177 20,000-24,999 1000-9,999 20+
## 9178 0-999 0 1-2
## 9179 7,500-9,999 1000-9,999 < 1
## 9180 0-999 0 1-2
## 9181 0-999 0 1-2
## 9182 20,000-24,999 100-999 5-10
## 9183 <NA> <NA> 1-2
## 9184 2,000-2,999 0 5-10
## 9185 10,000-14,999 10,000-99,999 1-2
## 9186 <NA> <NA> < 1
## 9187 20,000-24,999 1-99 < 1
## 9188 0-999 0 1-2
## 9189 20,000-24,999 10,000-99,999 10-20
## 9190 0-999 100-999 20+
## 9191 125,000-149,999 > 100,000 5-10
## 9192 <NA> <NA> None
## 9193 <NA> <NA> < 1
## 9194 <NA> <NA> 1-2
## 9195 15,000-19,999 0 1-2
## 9196 <NA> <NA> < 1
## 9197 <NA> <NA> 1-2
## 9198 <NA> <NA> None
## 9199 1,000-1,999 1-99 3-5
## 9200 4,000-4,999 1000-9,999 1-2
## 9201 <NA> <NA> < 1
## 9202 7,500-9,999 1-99 < 1
## 9203 125,000-149,999 1000-9,999 5-10
## 9204 <NA> <NA> 1-2
## 9205 <NA> <NA> 1-2
## 9206 <NA> <NA> < 1
## 9207 4,000-4,999 1-99 < 1
## 9208 0-999 1000-9,999 1-2
## 9209 50,000-59,999 1000-9,999 None
## 9210 250,000-299,999 0 10-20
## 9211 60,000-69,999 100-999 5-10
## 9212 40,000-49,999 10,000-99,999 10-20
## 9213 50,000-59,999 1000-9,999 1-2
## 9214 50,000-59,999 0 5-10
## 9215 <NA> <NA> < 1
## 9216 0-999 1000-9,999 3-5
## 9217 4,000-4,999 0 < 1
## 9218 <NA> <NA> 1-2
## 9219 <NA> <NA> None
## 9220 20,000-24,999 100-999 1-2
## 9221 7,500-9,999 100-999 3-5
## 9222 3,000-3,999 0 < 1
## 9223 <NA> <NA> < 1
## 9224 <NA> <NA> < 1
## 9225 <NA> <NA> None
## 9226 <NA> <NA> 1-2
## 9227 20,000-24,999 0 3-5
## 9228 <NA> <NA> < 1
## 9229 40,000-49,999 0 1-2
## 9230 50,000-59,999 1000-9,999 3-5
## 9231 30,000-39,999 0 5-10
## 9232 125,000-149,999 > 100,000 1-2
## 9233 2,000-2,999 1-99 1-2
## 9234 <NA> <NA> None
## 9235 1,000-1,999 1-99 < 1
## 9236 <NA> <NA> < 1
## 9237 100,000-124,999 10,000-99,999 20+
## 9238 1,000-1,999 1-99 3-5
## 9239 50,000-59,999 100-999 < 1
## 9240 <NA> <NA> < 1
## 9241 30,000-39,999 10,000-99,999 5-10
## 9242 80,000-89,999 1000-9,999 3-5
## 9243 <NA> <NA> 1-2
## 9244 <NA> <NA> < 1
## 9245 <NA> <NA> 1-2
## 9246 <NA> <NA> 10-20
## 9247 7,500-9,999 100-999 1-2
## 9248 0-999 0 3-5
## 9249 10,000-14,999 1000-9,999 1-2
## 9250 <NA> <NA> 1-2
## 9251 100,000-124,999 > 100,000 5-10
## 9252 100,000-124,999 100-999 5-10
## 9253 60,000-69,999 100-999 < 1
## 9254 0-999 1000-9,999 < 1
## 9255 30,000-39,999 1000-9,999 5-10
## 9256 5,000-7,499 0 < 1
## 9257 10,000-14,999 > 100,000 3-5
## 9258 200,000-249,999 0 3-5
## 9259 <NA> <NA> 1-2
## 9260 4,000-4,999 100-999 1-2
## 9261 0-999 100-999 1-2
## 9262 0-999 0 < 1
## 9263 90,000-99,999 1000-9,999 None
## 9264 0-999 0 1-2
## 9265 0-999 0 1-2
## 9266 10,000-14,999 0 1-2
## 9267 10,000-14,999 1000-9,999 3-5
## 9268 0-999 1000-9,999 10-20
## 9269 <NA> <NA> < 1
## 9270 2,000-2,999 0 1-2
## 9271 <NA> <NA> < 1
## 9272 <NA> <NA> < 1
## 9273 0-999 1-99 None
## 9274 20,000-24,999 1000-9,999 5-10
## 9275 2,000-2,999 0 None
## 9276 5,000-7,499 100-999 3-5
## 9277 100,000-124,999 1-99 3-5
## 9278 <NA> <NA> 1-2
## 9279 0-999 1-99 None
## 9280 <NA> <NA> < 1
## 9281 15,000-19,999 0 5-10
## 9282 90,000-99,999 1000-9,999 3-5
## 9283 0-999 0 < 1
## 9284 60,000-69,999 1000-9,999 < 1
## 9285 <NA> <NA> 1-2
## 9286 70,000-79,999 0 < 1
## 9287 10,000-14,999 0 5-10
## 9288 <NA> <NA> 1-2
## 9289 <NA> <NA> None
## 9290 <NA> <NA> 3-5
## 9291 60,000-69,999 1000-9,999 3-5
## 9292 80,000-89,999 0 10-20
## 9293 <NA> <NA> 1-2
## 9294 <NA> <NA> 3-5
## 9295 100,000-124,999 100-999 5-10
## 9296 20,000-24,999 10,000-99,999 3-5
## 9297 <NA> <NA> 20+
## 9298 2,000-2,999 100-999 1-2
## 9299 0-999 1-99 1-2
## 9300 0-999 0 < 1
## 9301 0-999 0 1-2
## 9302 125,000-149,999 10,000-99,999 10-20
## 9303 1,000-1,999 0 3-5
## 9304 90,000-99,999 1000-9,999 1-2
## 9305 50,000-59,999 0 20+
## 9306 <NA> <NA> 1-2
## 9307 <NA> <NA> 1-2
## 9308 <NA> <NA> < 1
## 9309 0-999 1-99 < 1
## 9310 0-999 0 1-2
## 9311 25,000-29,999 100-999 5-10
## 9312 0-999 100-999 1-2
## 9313 1,000-1,999 10,000-99,999 1-2
## 9314 <NA> <NA> < 1
## 9315 100,000-124,999 100-999 3-5
## 9316 0-999 100-999 1-2
## 9317 30,000-39,999 > 100,000 1-2
## 9318 <NA> <NA> 1-2
## 9319 50,000-59,999 10,000-99,999 1-2
## 9320 <NA> <NA> None
## 9321 > 500,000 10,000-99,999 5-10
## 9322 3,000-3,999 0 None
## 9323 4,000-4,999 0 < 1
## 9324 0-999 1-99 1-2
## 9325 30,000-39,999 1-99 5-10
## 9326 <NA> <NA> 1-2
## 9327 20,000-24,999 > 100,000 3-5
## 9328 <NA> <NA> 1-2
## 9329 5,000-7,499 100-999 1-2
## 9330 0-999 1-99 5-10
## 9331 90,000-99,999 10,000-99,999 3-5
## 9332 0-999 0 < 1
## 9333 40,000-49,999 100-999 < 1
## 9334 0-999 100-999 None
## 9335 3,000-3,999 1-99 1-2
## 9336 <NA> <NA> None
## 9337 15,000-19,999 1000-9,999 3-5
## 9338 20,000-24,999 1-99 1-2
## 9339 5,000-7,499 0 10-20
## 9340 60,000-69,999 100-999 5-10
## 9341 <NA> <NA> < 1
## 9342 <NA> <NA> < 1
## 9343 <NA> <NA> < 1
## 9344 0-999 100-999 1-2
## 9345 <NA> <NA> 1-2
## 9346 7,500-9,999 1-99 3-5
## 9347 70,000-79,999 100-999 3-5
## 9348 <NA> <NA> < 1
## 9349 4,000-4,999 100-999 20+
## 9350 7,500-9,999 0 20+
## 9351 <NA> <NA> 3-5
## 9352 <NA> <NA> 1-2
## 9353 <NA> <NA> 1-2
## 9354 7,500-9,999 0 5-10
## 9355 10,000-14,999 0 1-2
## 9356 15,000-19,999 1000-9,999 1-2
## 9357 5,000-7,499 1000-9,999 1-2
## 9358 10,000-14,999 > 100,000 < 1
## 9359 20,000-24,999 1-99 5-10
## 9360 50,000-59,999 1000-9,999 20+
## 9361 7,500-9,999 0 < 1
## 9362 <NA> <NA> < 1
## 9363 7,500-9,999 0 1-2
## 9364 25,000-29,999 1-99 5-10
## 9365 0-999 100-999 3-5
## 9366 0-999 1-99 < 1
## 9367 <NA> <NA> < 1
## 9368 5,000-7,499 0 1-2
## 9369 50,000-59,999 0 < 1
## 9370 3,000-3,999 0 < 1
## 9371 7,500-9,999 100-999 1-2
## 9372 7,500-9,999 0 3-5
## 9373 0-999 0 None
## 9374 10,000-14,999 0 < 1
## 9375 3,000-3,999 100-999 1-2
## 9376 25,000-29,999 100-999 3-5
## 9377 20,000-24,999 1000-9,999 10-20
## 9378 1,000-1,999 100-999 < 1
## 9379 50,000-59,999 1000-9,999 3-5
## 9380 <NA> <NA> < 1
## 9381 90,000-99,999 0 3-5
## 9382 <NA> <NA> < 1
## 9383 0-999 0 < 1
## 9384 10,000-14,999 0 < 1
## 9385 0-999 1-99 1-2
## 9386 3,000-3,999 1-99 < 1
## 9387 <NA> <NA> < 1
## 9388 20,000-24,999 100-999 10-20
## 9389 <NA> <NA> < 1
## 9390 <NA> <NA> < 1
## 9391 0-999 0 < 1
## 9392 0-999 1-99 1-2
## 9393 <NA> <NA> < 1
## 9394 30,000-39,999 1000-9,999 5-10
## 9395 10,000-14,999 1000-9,999 3-5
## 9396 0-999 100-999 1-2
## 9397 10,000-14,999 1000-9,999 5-10
## 9398 20,000-24,999 0 < 1
## 9399 1,000-1,999 1000-9,999 1-2
## 9400 0-999 100-999 1-2
## 9401 80,000-89,999 100-999 3-5
## 9402 <NA> <NA> < 1
## 9403 > 500,000 0 5-10
## 9404 3,000-3,999 1-99 1-2
## 9405 0-999 1-99 < 1
## 9406 10,000-14,999 1000-9,999 3-5
## 9407 5,000-7,499 0 None
## 9408 40,000-49,999 100-999 5-10
## 9409 125,000-149,999 10,000-99,999 3-5
## 9410 0-999 0 < 1
## 9411 30,000-39,999 100-999 < 1
## 9412 5,000-7,499 0 < 1
## 9413 30,000-39,999 > 100,000 < 1
## 9414 60,000-69,999 0 1-2
## 9415 0-999 1-99 < 1
## 9416 1,000-1,999 100-999 1-2
## 9417 1,000-1,999 1000-9,999 1-2
## 9418 <NA> <NA> 1-2
## 9419 3,000-3,999 0 1-2
## 9420 <NA> <NA> < 1
## 9421 2,000-2,999 0 < 1
## 9422 <NA> <NA> 1-2
## 9423 25,000-29,999 1000-9,999 5-10
## 9424 7,500-9,999 0 None
## 9425 150,000-199,999 1000-9,999 3-5
## 9426 40,000-49,999 0 3-5
## 9427 80,000-89,999 1000-9,999 3-5
## 9428 0-999 1-99 < 1
## 9429 5,000-7,499 1000-9,999 < 1
## 9430 <NA> <NA> < 1
## 9431 0-999 0 1-2
## 9432 10,000-14,999 0 < 1
## 9433 10,000-14,999 0 < 1
## 9434 30,000-39,999 0 3-5
## 9435 30,000-39,999 0 10-20
## 9436 4,000-4,999 1-99 < 1
## 9437 10,000-14,999 0 < 1
## 9438 <NA> <NA> 20+
## 9439 10,000-14,999 100-999 3-5
## 9440 1,000-1,999 1-99 1-2
## 9441 <NA> <NA> 1-2
## 9442 <NA> <NA> < 1
## 9443 25,000-29,999 1-99 3-5
## 9444 15,000-19,999 100-999 1-2
## 9445 <NA> <NA> None
## 9446 3,000-3,999 1-99 None
## 9447 5,000-7,499 0 1-2
## 9448 2,000-2,999 100-999 10-20
## 9449 20,000-24,999 100-999 < 1
## 9450 50,000-59,999 100-999 1-2
## 9451 250,000-299,999 100-999 5-10
## 9452 70,000-79,999 10,000-99,999 5-10
## 9453 0-999 1-99 1-2
## 9454 <NA> <NA> < 1
## 9455 <NA> <NA> < 1
## 9456 80,000-89,999 1000-9,999 < 1
## 9457 60,000-69,999 0 None
## 9458 150,000-199,999 10,000-99,999 3-5
## 9459 0-999 0 5-10
## 9460 125,000-149,999 > 100,000 3-5
## 9461 0-999 100-999 3-5
## 9462 3,000-3,999 1000-9,999 < 1
## 9463 0-999 0 1-2
## 9464 5,000-7,499 0 < 1
## 9465 70,000-79,999 1000-9,999 3-5
## 9466 50,000-59,999 10,000-99,999 < 1
## 9467 <NA> <NA> < 1
## 9468 25,000-29,999 0 1-2
## 9469 7,500-9,999 10,000-99,999 3-5
## 9470 20,000-24,999 100-999 1-2
## 9471 0-999 1-99 < 1
## 9472 <NA> <NA> 1-2
## 9473 25,000-29,999 100-999 1-2
## 9474 0-999 1-99 3-5
## 9475 0-999 0 < 1
## 9476 0-999 1000-9,999 < 1
## 9477 <NA> <NA> < 1
## 9478 25,000-29,999 1000-9,999 1-2
## 9479 <NA> <NA> < 1
## 9480 1,000-1,999 0 1-2
## 9481 <NA> <NA> < 1
## 9482 4,000-4,999 100-999 < 1
## 9483 15,000-19,999 100-999 5-10
## 9484 40,000-49,999 100-999 10-20
## 9485 100,000-124,999 1-99 < 1
## 9486 20,000-24,999 0 1-2
## 9487 <NA> <NA> < 1
## 9488 10,000-14,999 0 None
## 9489 30,000-39,999 100-999 3-5
## 9490 30,000-39,999 100-999 < 1
## 9491 <NA> <NA> < 1
## 9492 <NA> <NA> < 1
## 9493 10,000-14,999 100-999 < 1
## 9494 15,000-19,999 10,000-99,999 3-5
## 9495 <NA> <NA> 3-5
## 9496 125,000-149,999 10,000-99,999 5-10
## 9497 5,000-7,499 100-999 1-2
## 9498 150,000-199,999 10,000-99,999 5-10
## 9499 70,000-79,999 100-999 20+
## 9500 80,000-89,999 0 None
## 9501 30,000-39,999 100-999 3-5
## 9502 30,000-39,999 0 None
## 9503 10,000-14,999 0 1-2
## 9504 0-999 100-999 None
## 9505 1,000-1,999 0 < 1
## 9506 <NA> <NA> 3-5
## 9507 10,000-14,999 1000-9,999 < 1
## 9508 10,000-14,999 100-999 1-2
## 9509 2,000-2,999 0 < 1
## 9510 30,000-39,999 1000-9,999 3-5
## 9511 1,000-1,999 1-99 1-2
## 9512 0-999 0 5-10
## 9513 15,000-19,999 1000-9,999 < 1
## 9514 1,000-1,999 0 None
## 9515 125,000-149,999 10,000-99,999 1-2
## 9516 3,000-3,999 100-999 < 1
## 9517 3,000-3,999 1000-9,999 1-2
## 9518 30,000-39,999 0 3-5
## 9519 10,000-14,999 10,000-99,999 < 1
## 9520 0-999 100-999 1-2
## 9521 15,000-19,999 0 < 1
## 9522 100,000-124,999 10,000-99,999 3-5
## 9523 7,500-9,999 1-99 3-5
## 9524 0-999 1-99 < 1
## 9525 1,000-1,999 1-99 3-5
## 9526 <NA> <NA> None
## 9527 125,000-149,999 10,000-99,999 10-20
## 9528 15,000-19,999 > 100,000 3-5
## 9529 30,000-39,999 100-999 5-10
## 9530 0-999 1-99 < 1
## 9531 10,000-14,999 100-999 5-10
## 9532 10,000-14,999 0 3-5
## 9533 5,000-7,499 10,000-99,999 1-2
## 9534 2,000-2,999 1-99 3-5
## 9535 20,000-24,999 0 None
## 9536 <NA> <NA> 1-2
## 9537 80,000-89,999 0 5-10
## 9538 50,000-59,999 > 100,000 5-10
## 9539 30,000-39,999 100-999 1-2
## 9540 60,000-69,999 10,000-99,999 1-2
## 9541 <NA> <NA> 1-2
## 9542 70,000-79,999 0 < 1
## 9543 10,000-14,999 0 < 1
## 9544 <NA> <NA> < 1
## 9545 1,000-1,999 0 None
## 9546 15,000-19,999 0 None
## 9547 <NA> <NA> 1-2
## 9548 <NA> <NA> < 1
## 9549 5,000-7,499 100-999 < 1
## 9550 50,000-59,999 0 None
## 9551 <NA> <NA> < 1
## 9552 3,000-3,999 0 < 1
## 9553 40,000-49,999 1-99 1-2
## 9554 10,000-14,999 100-999 < 1
## 9555 60,000-69,999 > 100,000 20+
## 9556 2,000-2,999 1-99 3-5
## 9557 15,000-19,999 0 3-5
## 9558 <NA> <NA> < 1
## 9559 <NA> <NA> None
## 9560 70,000-79,999 0 3-5
## 9561 4,000-4,999 100-999 < 1
## 9562 <NA> <NA> 1-2
## 9563 5,000-7,499 1-99 1-2
## 9564 0-999 0 3-5
## 9565 40,000-49,999 0 3-5
## 9566 80,000-89,999 0 3-5
## 9567 <NA> <NA> < 1
## 9568 10,000-14,999 0 5-10
## 9569 70,000-79,999 10,000-99,999 10-20
## 9570 0-999 0 1-2
## 9571 90,000-99,999 > 100,000 5-10
## 9572 0-999 1-99 3-5
## 9573 15,000-19,999 0 3-5
## 9574 70,000-79,999 1-99 < 1
## 9575 60,000-69,999 1-99 10-20
## 9576 <NA> <NA> < 1
## 9577 0-999 0 < 1
## 9578 <NA> <NA> < 1
## 9579 90,000-99,999 0 3-5
## 9580 3,000-3,999 0 < 1
## 9581 100,000-124,999 0 10-20
## 9582 0-999 1-99 3-5
## 9583 100,000-124,999 10,000-99,999 10-20
## 9584 0-999 0 None
## 9585 5,000-7,499 1000-9,999 5-10
## 9586 5,000-7,499 100-999 < 1
## 9587 0-999 0 < 1
## 9588 <NA> <NA> < 1
## 9589 30,000-39,999 1000-9,999 1-2
## 9590 20,000-24,999 1000-9,999 5-10
## 9591 0-999 0 < 1
## 9592 <NA> <NA> < 1
## 9593 30,000-39,999 100-999 3-5
## 9594 3,000-3,999 1000-9,999 < 1
## 9595 30,000-39,999 0 10-20
## 9596 10,000-14,999 1000-9,999 1-2
## 9597 30,000-39,999 0 1-2
## 9598 200,000-249,999 10,000-99,999 10-20
## 9599 60,000-69,999 1000-9,999 5-10
## 9600 <NA> <NA> < 1
## 9601 <NA> <NA> 1-2
## 9602 0-999 100-999 3-5
## 9603 10,000-14,999 100-999 5-10
## 9604 <NA> <NA> < 1
## 9605 50,000-59,999 1000-9,999 20+
## 9606 40,000-49,999 1-99 3-5
## 9607 <NA> <NA> < 1
## 9608 <NA> <NA> 3-5
## 9609 60,000-69,999 10,000-99,999 5-10
## 9610 <NA> <NA> < 1
## 9611 70,000-79,999 10,000-99,999 5-10
## 9612 10,000-14,999 0 < 1
## 9613 25,000-29,999 0 1-2
## 9614 <NA> <NA> 3-5
## 9615 50,000-59,999 0 3-5
## 9616 <NA> <NA> < 1
## 9617 150,000-199,999 0 < 1
## 9618 60,000-69,999 > 100,000 10-20
## 9619 90,000-99,999 1000-9,999 20+
## 9620 1,000-1,999 1-99 < 1
## 9621 <NA> <NA> < 1
## 9622 50,000-59,999 0 20+
## 9623 2,000-2,999 0 < 1
## 9624 7,500-9,999 0 1-2
## 9625 0-999 1-99 1-2
## 9626 50,000-59,999 100-999 1-2
## 9627 <NA> <NA> 3-5
## 9628 5,000-7,499 1000-9,999 3-5
## 9629 1,000-1,999 0 5-10
## 9630 50,000-59,999 0 3-5
## 9631 3,000-3,999 10,000-99,999 < 1
## 9632 40,000-49,999 1000-9,999 5-10
## 9633 30,000-39,999 1000-9,999 20+
## 9634 50,000-59,999 100-999 1-2
## 9635 1,000-1,999 0 None
## 9636 20,000-24,999 0 3-5
## 9637 <NA> <NA> < 1
## 9638 20,000-24,999 1000-9,999 5-10
## 9639 <NA> <NA> < 1
## 9640 <NA> <NA> 3-5
## 9641 90,000-99,999 1-99 < 1
## 9642 30,000-39,999 1000-9,999 1-2
## 9643 30,000-39,999 1000-9,999 1-2
## 9644 50,000-59,999 0 3-5
## 9645 <NA> <NA> < 1
## 9646 40,000-49,999 > 100,000 1-2
## 9647 1,000-1,999 100-999 1-2
## 9648 25,000-29,999 100-999 3-5
## 9649 <NA> <NA> < 1
## 9650 20,000-24,999 1000-9,999 < 1
## 9651 50,000-59,999 100-999 < 1
## 9652 40,000-49,999 1000-9,999 5-10
## 9653 5,000-7,499 1-99 3-5
## 9654 40,000-49,999 1000-9,999 3-5
## 9655 70,000-79,999 10,000-99,999 20+
## 9656 60,000-69,999 1-99 < 1
## 9657 <NA> <NA> 1-2
## 9658 125,000-149,999 0 1-2
## 9659 7,500-9,999 100-999 1-2
## 9660 30,000-39,999 1000-9,999 1-2
## 9661 30,000-39,999 1000-9,999 5-10
## 9662 <NA> <NA> < 1
## 9663 <NA> <NA> 1-2
## 9664 2,000-2,999 1000-9,999 10-20
## 9665 90,000-99,999 0 10-20
## 9666 150,000-199,999 10,000-99,999 10-20
## 9667 50,000-59,999 0 20+
## 9668 2,000-2,999 0 3-5
## 9669 10,000-14,999 > 100,000 5-10
## 9670 100,000-124,999 1000-9,999 1-2
## 9671 0-999 1-99 1-2
## 9672 25,000-29,999 > 100,000 3-5
## 9673 70,000-79,999 1000-9,999 3-5
## 9674 20,000-24,999 1-99 5-10
## 9675 5,000-7,499 1-99 3-5
## 9676 50,000-59,999 1000-9,999 3-5
## 9677 25,000-29,999 10,000-99,999 < 1
## 9678 50,000-59,999 10,000-99,999 5-10
## 9679 25,000-29,999 1000-9,999 3-5
## 9680 100,000-124,999 1000-9,999 5-10
## 9681 15,000-19,999 100-999 1-2
## 9682 15,000-19,999 1000-9,999 1-2
## 9683 <NA> <NA> < 1
## 9684 50,000-59,999 0 5-10
## 9685 2,000-2,999 0 3-5
## 9686 10,000-14,999 0 < 1
## 9687 1,000-1,999 100-999 1-2
## 9688 <NA> <NA> < 1
## 9689 25,000-29,999 0 3-5
## 9690 4,000-4,999 100-999 < 1
## 9691 2,000-2,999 1000-9,999 1-2
## 9692 90,000-99,999 0 None
## 9693 20,000-24,999 0 3-5
## 9694 20,000-24,999 0 < 1
## 9695 > 500,000 > 100,000 20+
## 9696 20,000-24,999 10,000-99,999 3-5
## 9697 7,500-9,999 0 1-2
## 9698 40,000-49,999 0 3-5
## 9699 10,000-14,999 1-99 1-2
## 9700 <NA> <NA> 1-2
## 9701 2,000-2,999 100-999 1-2
## 9702 <NA> <NA> < 1
## 9703 125,000-149,999 1000-9,999 5-10
## 9704 100,000-124,999 > 100,000 20+
## 9705 1,000-1,999 100-999 1-2
## 9706 2,000-2,999 100-999 < 1
## 9707 0-999 100-999 1-2
## 9708 7,500-9,999 10,000-99,999 3-5
## 9709 30,000-39,999 0 3-5
## 9710 <NA> <NA> 1-2
## 9711 <NA> <NA> 3-5
## 9712 30,000-39,999 1-99 1-2
## 9713 25,000-29,999 0 1-2
## 9714 <NA> <NA> < 1
## 9715 80,000-89,999 1000-9,999 < 1
## 9716 <NA> <NA> < 1
## 9717 <NA> <NA> 3-5
## 9718 7,500-9,999 0 5-10
## 9719 125,000-149,999 > 100,000 20+
## 9720 5,000-7,499 1-99 < 1
## 9721 <NA> <NA> < 1
## 9722 5,000-7,499 0 < 1
## 9723 40,000-49,999 10,000-99,999 10-20
## 9724 <NA> <NA> 1-2
## 9725 50,000-59,999 0 3-5
## 9726 30,000-39,999 1-99 1-2
## 9727 <NA> <NA> < 1
## 9728 100,000-124,999 0 < 1
## 9729 60,000-69,999 0 3-5
## 9730 10,000-14,999 1000-9,999 5-10
## 9731 20,000-24,999 1-99 1-2
## 9732 30,000-39,999 1000-9,999 < 1
## 9733 0-999 0 < 1
## 9734 25,000-29,999 100-999 1-2
## 9735 5,000-7,499 0 < 1
## 9736 125,000-149,999 10,000-99,999 10-20
## 9737 30,000-39,999 1000-9,999 3-5
## 9738 <NA> <NA> 1-2
## 9739 50,000-59,999 0 20+
## 9740 30,000-39,999 100-999 < 1
## 9741 2,000-2,999 100-999 1-2
## 9742 4,000-4,999 1000-9,999 < 1
## 9743 60,000-69,999 10,000-99,999 10-20
## 9744 <NA> <NA> < 1
## 9745 <NA> <NA> 5-10
## 9746 20,000-24,999 0 3-5
## 9747 100,000-124,999 1000-9,999 10-20
## 9748 <NA> <NA> < 1
## 9749 0-999 100-999 1-2
## 9750 30,000-39,999 10,000-99,999 1-2
## 9751 100,000-124,999 1000-9,999 3-5
## 9752 15,000-19,999 1-99 1-2
## 9753 50,000-59,999 0 20+
## 9754 <NA> <NA> 1-2
## 9755 10,000-14,999 100-999 1-2
## 9756 0-999 0 < 1
## 9757 50,000-59,999 0 20+
## 9758 50,000-59,999 100-999 < 1
## 9759 <NA> <NA> < 1
## 9760 <NA> <NA> < 1
## 9761 0-999 1-99 < 1
## 9762 100,000-124,999 1000-9,999 20+
## 9763 <NA> <NA> 1-2
## 9764 0-999 1-99 < 1
## 9765 100,000-124,999 0 5-10
## 9766 70,000-79,999 > 100,000 5-10
## 9767 3,000-3,999 100-999 < 1
## 9768 <NA> <NA> < 1
## 9769 25,000-29,999 1000-9,999 < 1
## 9770 4,000-4,999 0 < 1
## 9771 1,000-1,999 0 3-5
## 9772 40,000-49,999 100-999 5-10
## 9773 10,000-14,999 100-999 < 1
## 9774 10,000-14,999 0 3-5
## 9775 25,000-29,999 0 < 1
## 9776 <NA> <NA> 3-5
## 9777 2,000-2,999 0 < 1
## 9778 100,000-124,999 1000-9,999 20+
## 9779 0-999 100-999 3-5
## 9780 5,000-7,499 0 < 1
## 9781 7,500-9,999 0 1-2
## 9782 <NA> <NA> None
## 9783 0-999 1-99 3-5
## 9784 10,000-14,999 0 1-2
## 9785 20,000-24,999 100-999 3-5
## 9786 25,000-29,999 10,000-99,999 1-2
## 9787 0-999 0 < 1
## 9788 100,000-124,999 100-999 20+
## 9789 2,000-2,999 100-999 3-5
## 9790 10,000-14,999 10,000-99,999 1-2
## 9791 20,000-24,999 1-99 None
## 9792 60,000-69,999 1000-9,999 None
## 9793 3,000-3,999 1-99 < 1
## 9794 0-999 0 3-5
## 9795 40,000-49,999 1000-9,999 1-2
## 9796 3,000-3,999 100-999 1-2
## 9797 1,000-1,999 0 3-5
## 9798 0-999 0 None
## 9799 <NA> <NA> None
## 9800 <NA> <NA> 10-20
## 9801 0-999 0 < 1
## 9802 100,000-124,999 > 100,000 < 1
## 9803 <NA> <NA> 3-5
## 9804 60,000-69,999 0 < 1
## 9805 2,000-2,999 0 < 1
## 9806 30,000-39,999 0 5-10
## 9807 70,000-79,999 0 3-5
## 9808 3,000-3,999 1-99 < 1
## 9809 10,000-14,999 1000-9,999 1-2
## 9810 4,000-4,999 0 1-2
## 9811 10,000-14,999 0 1-2
## 9812 60,000-69,999 100-999 10-20
## 9813 10,000-14,999 1000-9,999 None
## 9814 30,000-39,999 1000-9,999 3-5
## 9815 30,000-39,999 0 < 1
## 9816 <NA> <NA> < 1
## 9817 40,000-49,999 1-99 1-2
## 9818 <NA> <NA> 5-10
## 9819 20,000-24,999 0 3-5
## 9820 10,000-14,999 0 1-2
## 9821 <NA> <NA> 1-2
## 9822 7,500-9,999 1000-9,999 < 1
## 9823 <NA> <NA> 3-5
## 9824 25,000-29,999 0 5-10
## 9825 2,000-2,999 0 1-2
## 9826 7,500-9,999 100-999 1-2
## 9827 80,000-89,999 0 3-5
## 9828 2,000-2,999 1-99 5-10
## 9829 50,000-59,999 100-999 1-2
## 9830 <NA> <NA> 1-2
## 9831 40,000-49,999 1-99 < 1
## 9832 <NA> <NA> 1-2
## 9833 15,000-19,999 0 < 1
## 9834 150,000-199,999 > 100,000 3-5
## 9835 <NA> <NA> < 1
## 9836 40,000-49,999 10,000-99,999 5-10
## 9837 1,000-1,999 1-99 < 1
## 9838 50,000-59,999 1-99 5-10
## 9839 0-999 1000-9,999 3-5
## 9840 30,000-39,999 > 100,000 None
## 9841 1,000-1,999 0 < 1
## 9842 1,000-1,999 1000-9,999 < 1
## 9843 20,000-24,999 10,000-99,999 3-5
## 9844 50,000-59,999 1000-9,999 5-10
## 9845 <NA> <NA> None
## 9846 1,000-1,999 0 5-10
## 9847 <NA> <NA> < 1
## 9848 30,000-39,999 10,000-99,999 5-10
## 9849 30,000-39,999 100-999 1-2
## 9850 50,000-59,999 1000-9,999 10-20
## 9851 30,000-39,999 100-999 3-5
## 9852 40,000-49,999 1000-9,999 20+
## 9853 0-999 0 1-2
## 9854 3,000-3,999 10,000-99,999 1-2
## 9855 40,000-49,999 0 3-5
## 9856 1,000-1,999 1-99 1-2
## 9857 25,000-29,999 1000-9,999 1-2
## 9858 50,000-59,999 > 100,000 1-2
## 9859 100,000-124,999 1000-9,999 1-2
## 9860 <NA> <NA> < 1
## 9861 25,000-29,999 0 5-10
## 9862 <NA> <NA> < 1
## 9863 70,000-79,999 100-999 5-10
## 9864 50,000-59,999 0 5-10
## 9865 90,000-99,999 1000-9,999 20+
## 9866 40,000-49,999 1000-9,999 10-20
## 9867 125,000-149,999 1-99 10-20
## 9868 1,000-1,999 1-99 1-2
## 9869 20,000-24,999 1-99 3-5
## 9870 10,000-14,999 10,000-99,999 3-5
## 9871 40,000-49,999 1000-9,999 1-2
## 9872 20,000-24,999 1000-9,999 1-2
## 9873 <NA> <NA> 1-2
## 9874 <NA> <NA> 1-2
## 9875 0-999 1000-9,999 3-5
## 9876 <NA> <NA> < 1
## 9877 20,000-24,999 1-99 None
## 9878 15,000-19,999 0 3-5
## 9879 100,000-124,999 1-99 20+
## 9880 25,000-29,999 1-99 1-2
## 9881 10,000-14,999 100-999 3-5
## 9882 30,000-39,999 0 3-5
## 9883 40,000-49,999 100-999 3-5
## 9884 50,000-59,999 1000-9,999 < 1
## 9885 40,000-49,999 1-99 5-10
## 9886 0-999 0 3-5
## 9887 4,000-4,999 1-99 < 1
## 9888 60,000-69,999 10,000-99,999 3-5
## 9889 <NA> <NA> None
## 9890 <NA> <NA> 3-5
## 9891 80,000-89,999 10,000-99,999 5-10
## 9892 <NA> <NA> < 1
## 9893 <NA> <NA> 3-5
## 9894 <NA> <NA> 1-2
## 9895 <NA> <NA> 1-2
## 9896 25,000-29,999 10,000-99,999 1-2
## 9897 <NA> <NA> 3-5
## 9898 4,000-4,999 100-999 3-5
## 9899 10,000-14,999 0 3-5
## 9900 <NA> <NA> 10-20
## 9901 40,000-49,999 > 100,000 3-5
## 9902 80,000-89,999 1000-9,999 3-5
## 9903 70,000-79,999 1000-9,999 20+
## 9904 <NA> <NA> 1-2
## 9905 15,000-19,999 100-999 None
## 9906 1,000-1,999 1000-9,999 3-5
## 9907 7,500-9,999 0 3-5
## 9908 <NA> <NA> None
## 9909 20,000-24,999 100-999 1-2
## 9910 0-999 1-99 < 1
## 9911 25,000-29,999 0 5-10
## 9912 80,000-89,999 > 100,000 3-5
## 9913 40,000-49,999 0 None
## 9914 25,000-29,999 1000-9,999 10-20
## 9915 30,000-39,999 100-999 3-5
## 9916 40,000-49,999 0 1-2
## 9917 25,000-29,999 > 100,000 3-5
## 9918 50,000-59,999 1000-9,999 3-5
## 9919 50,000-59,999 0 20+
## 9920 50,000-59,999 100-999 1-2
## 9921 0-999 1-99 < 1
## 9922 30,000-39,999 1000-9,999 3-5
## 9923 100,000-124,999 0 3-5
## 9924 50,000-59,999 0 5-10
## 9925 80,000-89,999 > 100,000 3-5
## 9926 30,000-39,999 10,000-99,999 3-5
## 9927 7,500-9,999 10,000-99,999 3-5
## 9928 70,000-79,999 10,000-99,999 10-20
## 9929 <NA> <NA> < 1
## 9930 <NA> <NA> < 1
## 9931 25,000-29,999 10,000-99,999 3-5
## 9932 40,000-49,999 1000-9,999 5-10
## 9933 <NA> <NA> None
## 9934 0-999 1-99 1-2
## 9935 50,000-59,999 100-999 20+
## 9936 <NA> <NA> 3-5
## 9937 1,000-1,999 0 3-5
## 9938 <NA> <NA> < 1
## 9939 25,000-29,999 0 3-5
## 9940 90,000-99,999 10,000-99,999 None
## 9941 40,000-49,999 1000-9,999 1-2
## 9942 50,000-59,999 0 5-10
## 9943 <NA> <NA> 1-2
## 9944 25,000-29,999 100-999 3-5
## 9945 15,000-19,999 0 3-5
## 9946 30,000-39,999 1000-9,999 3-5
## 9947 0-999 0 3-5
## 9948 4,000-4,999 100-999 5-10
## 9949 5,000-7,499 100-999 3-5
## 9950 <NA> <NA> < 1
## 9951 10,000-14,999 0 1-2
## 9952 40,000-49,999 1000-9,999 10-20
## 9953 <NA> <NA> 10-20
## 9954 1,000-1,999 0 1-2
## 9955 90,000-99,999 0 None
## 9956 7,500-9,999 1-99 1-2
## 9957 30,000-39,999 100-999 3-5
## 9958 40,000-49,999 1000-9,999 3-5
## 9959 <NA> <NA> < 1
## 9960 15,000-19,999 1000-9,999 20+
## 9961 60,000-69,999 10,000-99,999 20+
## 9962 15,000-19,999 100-999 20+
## 9963 <NA> <NA> None
## 9964 40,000-49,999 0 5-10
## 9965 100,000-124,999 > 100,000 10-20
## 9966 <NA> <NA> < 1
## 9967 15,000-19,999 100-999 3-5
## 9968 1,000-1,999 1-99 < 1
## 9969 70,000-79,999 0 10-20
## 9970 60,000-69,999 > 100,000 3-5
## 9971 <NA> <NA> < 1
## 9972 15,000-19,999 10,000-99,999 None
## 9973 15,000-19,999 1000-9,999 1-2
## 9974 125,000-149,999 10,000-99,999 3-5
## 9975 5,000-7,499 0 20+
## 9976 50,000-59,999 0 3-5
## 9977 50,000-59,999 10,000-99,999 10-20
## 9978 70,000-79,999 1000-9,999 10-20
## 9979 5,000-7,499 1000-9,999 1-2
## 9980 20,000-24,999 100-999 3-5
## 9981 0-999 0 None
## 9982 80,000-89,999 1000-9,999 < 1
## 9983 15,000-19,999 100-999 5-10
## 9984 10,000-14,999 0 1-2
## 9985 50,000-59,999 1000-9,999 5-10
## 9986 <NA> <NA> 1-2
## 9987 25,000-29,999 10,000-99,999 < 1
## 9988 0-999 10,000-99,999 < 1
## 9989 <NA> <NA> 10-20
## 9990 1,000-1,999 1-99 3-5
## 9991 30,000-39,999 0 5-10
## 9992 40,000-49,999 > 100,000 1-2
## 9993 0-999 100-999 1-2
## 9994 <NA> <NA> < 1
## 9995 5,000-7,499 100-999 1-2
## 9996 50,000-59,999 1000-9,999 1-2
## 9997 20,000-24,999 10,000-99,999 3-5
## 9998 <NA> <NA> 1-2
## 9999 50,000-59,999 1000-9,999 3-5
## [ reached 'max' / getOption("max.print") -- omitted 9718 rows ]A lot of columns end with a technology or choice so i’ll rename the columns based the row selection choice. Also cleaning the column names to standard format.
rename.columns<- function(df){
items<- rep(NA, dim(df)[2])
for (i in 1:ncol(df)){
items[i]<- str_extract(df[1,i], "[-].*")
items[i]<- str_remove(items[i], "- Selected Choice - |- Selected Choice -")
items[i]<- str_remove(items[i], "\\(.*\\)")
items[i]<- str_replace(items[i], "[:punct:]\\s", "")
items[i]<- str_remove_all(items[i], "\\s$|^\\s")
items[i]<- str_replace_all(items[i], "\\s", "_")
items[i]<- str_remove(items[i], "_$")
names(df)[names(df) == names(df[i])]<-items[i]
}
df<- df %>% slice(2:dim(df)[1])
return(df)
}Rip throught the subsets for cleaning.
# Primary Tool for DA at school/work
df_prime_tool<- df %>%
select(Q14 )%>%
slice(2:dim(df)[1]) %>%
rename(primary_analysis_tool = Q14)
# ML year EXP
df_ml_xp<- df %>% select(Q23) %>%
slice(2:dim(df)[1]) %>%
rename(ml_exp_years = Q23) %>%
mutate(ml_exp_years = str_remove_all(ml_exp_years, "years"))
# language to learn first?
df_lang_rec<- df%>%
select(Q19) %>%
slice(1:dim(df)[1]) %>%
rename(rec_lang = Q19)
#media sources for DS
df_media<- df %>% select(Q12_Part_1:Q12_Part_12) %>%
slice(2:dim(df)[1]) %>%
rename(twiter = Q12_Part_1,
hacker_news = Q12_Part_2,
reddit = Q12_Part_3,
kaggle = Q12_Part_4,
course_forums = Q12_Part_5,
you_tube = Q12_Part_6,
podcast = Q12_Part_7,
blogs = Q12_Part_8,
journals = Q12_Part_9,
slack_communities = Q12_Part_10,
none = Q12_Part_11,
other = Q12_Part_12)
# DS course work including University
df_online_ed<- df %>%
select(Q13_Part_1:Q13_Part_12)
df_online_ed<- rename.columns(df_online_ed)
# IDE
df_ide <- df %>%
select(Q16_Part_1:Q16_Part_12)
df_ide<-rename.columns(df_ide)
# language
df_lang<- df %>%
select(Q18_Part_1:Q18_Part_12)
df_lang<- rename.columns(df_lang)
# data viz
df_viz <- df %>%
select(Q20_Part_1:Q20_Part_12)
df_viz<- rename.columns(df_viz)
# ML algo used regualrly
df_ml_algo<- df %>%select(Q24_Part_1:Q24_Part_12)
df_ml_algo<-rename.columns(df_ml_algo)
# ML Tools (e.g. AutoML)
df_ml_tool<- df %>% select(Q25_Part_1:Q25_Part_8)
df_ml_tool<- rename.columns(df_ml_tool)
# CV tools
df_cv<- df %>% select(Q26_Part_1:Q26_Part_7)
df_cv<-rename.columns(df_cv)
# NLP tools
df_nlp<- df %>% select(Q27_Part_1:Q27_Part_6)
df_nlp<- rename.columns(df_nlp)
# Cloud platform
df_cloud<- df %>% select(Q29_Part_1:Q29_Part_12)
df_cloud<- rename.columns(df_cloud)
# cloud products
df_cloud_prod<- df %>% select(Q30_Part_1:Q30_Part_12)
df_cloud_prod<- rename.columns(df_cloud_prod)
# big data platform
df_big_data<- df %>%select(Q31_Part_1:Q31_Part_12)
df_big_data<- rename.columns(df_big_data)
# cloud ML (e.g. Sagemaker)
df_cloud_ml<- df %>% select(Q32_Part_1:Q32_Part_12)
df_cloud_ml<- rename.columns(df_cloud_ml)
# relational DB
df_db<- df %>% select(Q34_Part_1:Q34_Part_12)
df_db<- rename.columns(df_db)
## age gender country
## 1 22-24 Male France
## 2 40-44 Male India
## 3 55-59 Female Germany
## 4 40-44 Male Australia
## 5 22-24 Male India
## 6 50-54 Male France
## 7 22-24 Male India
## 8 22-24 Female United States of America
## 9 22-24 Male United States of America
## 10 55-59 Male Netherlands
## 11 18-21 Male India
## 12 30-34 Male Germany
## 13 30-34 Male Germany
## 14 30-34 Male United States of America
## 15 25-29 Male India
## 16 50-54 Female United States of America
## 17 18-21 Male Australia
## 18 18-21 Male India
## 19 35-39 Male France
## 20 25-29 Male France
## 21 22-24 Female Ireland
## 22 35-39 Male United States of America
## 23 25-29 Male India
## 24 40-44 Male Russia
## 25 25-29 Male Greece
## 26 30-34 Male Greece
## 27 35-39 Male India
## 28 25-29 Male United States of America
## 29 30-34 Female Ukraine
## 30 25-29 Female Pakistan
## 31 30-34 Male Japan
## 32 30-34 Male Japan
## 33 25-29 Female Other
## 34 30-34 Female United States of America
## 35 22-24 Male Brazil
## 36 25-29 Male India
## 37 35-39 Male South Korea
## 38 25-29 Male Brazil
## 39 35-39 Male France
## 40 30-34 Female United States of America
## 41 25-29 Male India
## 42 22-24 Male India
## 43 22-24 Male India
## 44 35-39 Male Belarus
## 45 25-29 Male India
## 46 22-24 Male India
## 47 25-29 Male India
## 48 25-29 Male Nigeria
## 49 35-39 Female United Kingdom
## 50 30-34 Male Sweden
## 51 35-39 Male United States of America
## 52 25-29 Male India
## 53 18-21 Male India
## 54 30-34 Male Germany
## 55 25-29 Male Germany
## 56 25-29 Male India
## 57 45-49 Female India
## 58 40-44 Male India
## 59 30-34 Male United States of America
## 60 22-24 Female India
## 61 35-39 Male Mexico
## 62 30-34 Male United States of America
## 63 25-29 Female United States of America
## 64 22-24 Male France
## 65 35-39 Prefer to self-describe United Kingdom
## 66 40-44 Male Other
## 67 25-29 Prefer not to say United States of America
## 68 18-21 Male Russia
## 69 22-24 Male India
## 70 22-24 Male India
## 71 30-34 Male India
## 72 22-24 Male Australia
## 73 18-21 Male India
## 74 18-21 Male Brazil
## 75 30-34 Female India
## 76 22-24 Male India
## 77 35-39 Male Japan
## 78 35-39 Male Canada
## 79 18-21 Male India
## 80 30-34 Male United States of America
## 81 30-34 Male Portugal
## 82 25-29 Male United States of America
## 83 25-29 Male Russia
## 84 22-24 Female India
## 85 30-34 Male Canada
## 86 30-34 Female United States of America
## 87 22-24 Male France
## 88 22-24 Male United States of America
## 89 30-34 Male Canada
## 90 25-29 Male Poland
## 91 22-24 Male Indonesia
## 92 35-39 Male Netherlands
## 93 30-34 Male Italy
## 94 45-49 Male France
## 95 22-24 Male India
## 96 22-24 Male Brazil
## 97 30-34 Male United States of America
## 98 30-34 Male India
## 99 25-29 Male Czech Republic
## 100 35-39 Prefer not to say United States of America
## 101 18-21 Male India
## 102 25-29 Female Other
## 103 22-24 Male Pakistan
## 104 50-54 Male United Kingdom
## 105 30-34 Male United States of America
## 106 30-34 Male Spain
## 107 25-29 Male United States of America
## 108 30-34 Female United States of America
## 109 18-21 Male India
## 110 35-39 Male Sweden
## 111 25-29 Male United States of America
## 112 25-29 Female Morocco
## 113 25-29 Male India
## 114 45-49 Male India
## 115 25-29 Male Spain
## 116 18-21 Male India
## 117 22-24 Male Greece
## 118 35-39 Male Russia
## 119 22-24 Male United States of America
## 120 25-29 Prefer not to say Other
## 121 40-44 Male India
## 122 25-29 Male United States of America
## 123 25-29 Male India
## 124 30-34 Male United States of America
## 125 22-24 Male Pakistan
## 126 25-29 Male Chile
## 127 25-29 Male Other
## 128 22-24 Male India
## 129 22-24 Male India
## 130 22-24 Male France
## 131 18-21 Female India
## 132 18-21 Male India
## 133 45-49 Male Hong Kong (S.A.R.)
## 134 30-34 Female Mexico
## 135 25-29 Male India
## 136 50-54 Male Spain
## 137 18-21 Female India
## 138 22-24 Male India
## 139 25-29 Male South Africa
## 140 30-34 Male Hungary
## 141 30-34 Male France
## 142 40-44 Male India
## 143 60-69 Male United States of America
## 144 45-49 Female Argentina
## 145 25-29 Male Turkey
## 146 55-59 Male United States of America
## 147 30-34 Male Ireland
## 148 22-24 Male Russia
## 149 18-21 Male India
## 150 55-59 Male France
## 151 30-34 Male Singapore
## 152 25-29 Male India
## 153 35-39 Male Portugal
## 154 40-44 Male United Kingdom
## 155 22-24 Male India
## 156 45-49 Female United States of America
## 157 22-24 Male Pakistan
## 158 30-34 Male United States of America
## 159 40-44 Male Brazil
## 160 35-39 Male Israel
## 161 35-39 Male Russia
## 162 30-34 Male Nigeria
## 163 35-39 Female India
## 164 18-21 Male India
## 165 18-21 Male India
## 166 25-29 Male Japan
## 167 35-39 Male United States of America
## 168 35-39 Male Other
## 169 35-39 Male Italy
## 170 30-34 Female Italy
## 171 18-21 Female India
## 172 18-21 Male India
## 173 25-29 Male France
## 174 18-21 Male India
## 175 30-34 Male Ukraine
## 176 22-24 Male India
## 177 25-29 Male India
## 178 25-29 Male Japan
## 179 45-49 Male Italy
## 180 35-39 Male Russia
## 181 35-39 Female Taiwan
## 182 22-24 Female United States of America
## 183 70+ Male Other
## 184 22-24 Female India
## 185 45-49 Male Other
## 186 30-34 Male Egypt
## 187 25-29 Male Brazil
## 188 22-24 Male Brazil
## 189 30-34 Male Russia
## 190 40-44 Male United States of America
## 191 35-39 Male India
## 192 50-54 Female Brazil
## 193 22-24 Female Other
## 194 25-29 Female Ukraine
## 195 30-34 Male Brazil
## 196 18-21 Male India
## 197 22-24 Male Bangladesh
## 198 25-29 Female United States of America
## 199 25-29 Male Morocco
## 200 25-29 Male Canada
## 201 30-34 Female United States of America
## 202 25-29 Female Canada
## 203 22-24 Male United States of America
## 204 25-29 Female United States of America
## 205 25-29 Male Brazil
## 206 55-59 Male United States of America
## 207 25-29 Male Hungary
## 208 25-29 Male Belarus
## 209 22-24 Male Spain
## 210 22-24 Male United States of America
## 211 22-24 Male India
## 212 22-24 Female India
## 213 18-21 Male Canada
## 214 18-21 Female Nigeria
## 215 25-29 Male India
## 216 25-29 Male South Korea
## 217 40-44 Male India
## 218 22-24 Female Other
## 219 35-39 Male France
## 220 30-34 Male Other
## 221 30-34 Male Colombia
## 222 30-34 Male Brazil
## 223 40-44 Male Germany
## 224 40-44 Male United States of America
## 225 35-39 Male India
## 226 25-29 Male Japan
## 227 55-59 Male Australia
## 228 40-44 Male Brazil
## 229 22-24 Male Taiwan
## 230 30-34 Male India
## 231 50-54 Male United States of America
## 232 30-34 Male Mexico
## 233 25-29 Female United States of America
## 234 55-59 Male India
## 235 22-24 Male Egypt
## 236 25-29 Male India
## 237 30-34 Male India
## 238 50-54 Male Sweden
## 239 18-21 Female Nigeria
## 240 45-49 Male United States of America
## 241 30-34 Male Canada
## 242 25-29 Male Norway
## 243 22-24 Male Pakistan
## 244 18-21 Male Russia
## 245 30-34 Male Other
## 246 18-21 Male India
## 247 25-29 Female India
## 248 18-21 Male India
## 249 25-29 Male Netherlands
## 250 30-34 Male United States of America
## 251 35-39 Male India
## 252 40-44 Male Japan
## 253 25-29 Male Spain
## 254 45-49 Male United States of America
## 255 30-34 Male South Africa
## 256 50-54 Male United States of America
## 257 30-34 Female United States of America
## 258 30-34 Female United States of America
## 259 60-69 Male United States of America
## 260 30-34 Male Czech Republic
## 261 30-34 Male Thailand
## 262 30-34 Male Taiwan
## 263 25-29 Male Netherlands
## 264 40-44 Male United Kingdom
## 265 18-21 Male Nigeria
## 266 22-24 Male China
## 267 30-34 Male India
## 268 35-39 Male South Korea
## 269 18-21 Male India
## 270 45-49 Male Turkey
## 271 45-49 Male United States of America
## 272 40-44 Male Indonesia
## 273 22-24 Male France
## 274 45-49 Male United States of America
## 275 25-29 Male Israel
## 276 25-29 Female Morocco
## 277 25-29 Female Turkey
## 278 22-24 Female India
## 279 40-44 Male United Kingdom
## 280 35-39 Male Japan
## 281 50-54 Male Italy
## 282 30-34 Male Switzerland
## 283 18-21 Male India
## 284 40-44 Male United States of America
## 285 22-24 Male India
## 286 18-21 Male India
## 287 22-24 Female Russia
## 288 22-24 Male United States of America
## 289 60-69 Male United States of America
## 290 22-24 Male Pakistan
## 291 30-34 Male India
## 292 25-29 Male Mexico
## 293 30-34 Male Other
## 294 30-34 Male Italy
## 295 35-39 Male Other
## 296 30-34 Male South Africa
## 297 50-54 Male Brazil
## 298 22-24 Female Pakistan
## 299 35-39 Male Portugal
## 300 30-34 Male Germany
## 301 25-29 Male United States of America
## 302 60-69 Male United States of America
## 303 40-44 Male Argentina
## 304 40-44 Female United States of America
## 305 25-29 Male Brazil
## 306 50-54 Male Italy
## 307 18-21 Male Viet Nam
## 308 25-29 Male United States of America
## 309 30-34 Male United States of America
## 310 18-21 Male India
## 311 35-39 Male Netherlands
## 312 22-24 Male India
## 313 18-21 Female United States of America
## 314 25-29 Male Taiwan
## 315 25-29 Male Denmark
## 316 25-29 Female India
## 317 18-21 Male India
## 318 35-39 Male Ukraine
## 319 18-21 Female Russia
## 320 55-59 Male Colombia
## 321 25-29 Male Thailand
## 322 22-24 Male Viet Nam
## 323 30-34 Male India
## 324 50-54 Male Indonesia
## 325 22-24 Male Nigeria
## 326 35-39 Male Other
## 327 25-29 Male India
## 328 30-34 Male Chile
## 329 18-21 Male India
## 330 25-29 Male United States of America
## 331 22-24 Male Colombia
## 332 30-34 Male Colombia
## 333 25-29 Male United States of America
## 334 40-44 Male Taiwan
## 335 25-29 Male India
## 336 35-39 Male United States of America
## 337 25-29 Female United States of America
## 338 22-24 Female Indonesia
## 339 35-39 Male United States of America
## 340 35-39 Female France
## 341 40-44 Female United States of America
## 342 18-21 Male India
## 343 22-24 Male Russia
## 344 30-34 Male India
## 345 18-21 Male India
## 346 22-24 Female Morocco
## 347 22-24 Female South Korea
## 348 25-29 Female United States of America
## 349 18-21 Male India
## 350 22-24 Male India
## 351 22-24 Male Colombia
## 352 30-34 Male Israel
## 353 18-21 Male India
## 354 30-34 Prefer to self-describe Other
## 355 25-29 Female India
## 356 25-29 Male Other
## 357 60-69 Male United States of America
## 358 25-29 Female Russia
## 359 25-29 Male Other
## 360 30-34 Male India
## 361 55-59 Male United States of America
## 362 22-24 Male India
## 363 22-24 Male India
## 364 25-29 Male Italy
## 365 55-59 Female Canada
## 366 22-24 Male Mexico
## 367 22-24 Male United States of America
## 368 22-24 Male India
## 369 25-29 Male United States of America
## 370 22-24 Female United Kingdom
## 371 22-24 Male India
## 372 25-29 Prefer not to say Japan
## 373 45-49 Female United States of America
## 374 18-21 Prefer not to say Other
## 375 25-29 Male United States of America
## 376 25-29 Male United States of America
## 377 25-29 Female France
## 378 22-24 Male India
## 379 18-21 Male India
## 380 30-34 Male Japan
## 381 55-59 Male Taiwan
## 382 25-29 Male Russia
## 383 25-29 Male Mexico
## 384 25-29 Male France
## 385 22-24 Prefer to self-describe Russia
## 386 30-34 Male India
## 387 18-21 Male India
## 388 18-21 Female India
## 389 35-39 Male Brazil
## 390 30-34 Male Argentina
## 391 22-24 Male India
## 392 22-24 Male Japan
## 393 40-44 Male Brazil
## 394 18-21 Male India
## 395 22-24 Prefer not to say Viet Nam
## 396 30-34 Male Japan
## 397 30-34 Male United States of America
## 398 25-29 Male Italy
## 399 25-29 Male India
## 400 18-21 Male India
## 401 60-69 Male United States of America
## 402 25-29 Female United States of America
## 403 30-34 Male Japan
## 404 18-21 Male India
## 405 18-21 Male India
## 406 18-21 Female Ukraine
## 407 30-34 Male India
## 408 30-34 Male India
## 409 18-21 Male India
## 410 25-29 Male United States of America
## 411 35-39 Female Tunisia
## 412 55-59 Male Brazil
## 413 25-29 Male United Kingdom
## 414 25-29 Female Chile
## 415 30-34 Male Netherlands
## 416 18-21 Male Other
## 417 40-44 Male United States of America
## 418 25-29 Male Russia
## 419 18-21 Male Brazil
## 420 25-29 Male India
## 421 45-49 Female Japan
## 422 35-39 Male Spain
## 423 35-39 Male Singapore
## 424 25-29 Male Canada
## 425 30-34 Male Pakistan
## 426 30-34 Male United States of America
## 427 18-21 Male Russia
## 428 50-54 Male Canada
## 429 30-34 Female France
## 430 22-24 Female India
## 431 45-49 Female Canada
## 432 18-21 Male India
## 433 22-24 Female United States of America
## 434 25-29 Male Egypt
## 435 18-21 Male India
## 436 30-34 Male India
## 437 25-29 Female Other
## 438 35-39 Male Brazil
## 439 40-44 Male Poland
## 440 18-21 Male India
## 441 25-29 Male Republic of Korea
## 442 22-24 Male Viet Nam
## 443 30-34 Female Russia
## 444 25-29 Female United States of America
## 445 45-49 Male Norway
## 446 25-29 Male United States of America
## 447 25-29 Male United Kingdom
## 448 40-44 Female United States of America
## 449 25-29 Male Germany
## 450 22-24 Male Germany
## 451 40-44 Female United States of America
## 452 25-29 Male India
## 453 50-54 Male France
## 454 25-29 Male Brazil
## 455 35-39 Male United States of America
## 456 22-24 Male Mexico
## 457 40-44 Male United States of America
## 458 45-49 Male United States of America
## 459 18-21 Female Turkey
## 460 30-34 Male United States of America
## 461 35-39 Male Other
## 462 22-24 Male Colombia
## 463 30-34 Male United States of America
## 464 18-21 Male India
## 465 35-39 Male Italy
## 466 30-34 Female United Kingdom
## 467 35-39 Male Canada
## 468 45-49 Female Italy
## 469 50-54 Male United Kingdom
## 470 25-29 Male United Kingdom
## 471 18-21 Male India
## 472 40-44 Male United Kingdom
## 473 30-34 Male Germany
## 474 25-29 Male India
## 475 55-59 Prefer not to say Other
## 476 30-34 Male United States of America
## 477 25-29 Male Germany
## 478 40-44 Male United States of America
## 479 50-54 Male United States of America
## 480 18-21 Female India
## 481 40-44 Male India
## 482 35-39 Female Sweden
## 483 25-29 Male United States of America
## 484 25-29 Male United States of America
## 485 30-34 Female Brazil
## 486 22-24 Male Canada
## 487 30-34 Male South Africa
## 488 30-34 Male United States of America
## 489 22-24 Male New Zealand
## 490 18-21 Male Republic of Korea
## 491 30-34 Male Canada
## 492 30-34 Male United States of America
## 493 30-34 Male India
## 494 40-44 Male Canada
## 495 25-29 Female United States of America
## 496 30-34 Male United States of America
## 497 40-44 Male Italy
## 498 40-44 Male Poland
## 499 30-34 Male Poland
## 500 25-29 Male India
## 501 18-21 Male India
## 502 25-29 Female India
## 503 40-44 Male United States of America
## 504 25-29 Male Spain
## 505 22-24 Male India
## 506 25-29 Female South Africa
## 507 18-21 Male India
## 508 30-34 Male Ireland
## 509 25-29 Male United States of America
## 510 22-24 Female Iran, Islamic Republic of...
## 511 25-29 Male Brazil
## 512 25-29 Male Bangladesh
## 513 22-24 Male India
## 514 22-24 Male India
## 515 30-34 Male United States of America
## 516 50-54 Male United States of America
## 517 18-21 Male India
## 518 22-24 Male India
## 519 35-39 Female Canada
## 520 40-44 Male Switzerland
## 521 22-24 Male Iran, Islamic Republic of...
## 522 35-39 Female United States of America
## 523 35-39 Male Canada
## 524 25-29 Male Spain
## 525 55-59 Male Spain
## 526 40-44 Male Other
## 527 30-34 Male United States of America
## 528 18-21 Male Ukraine
## 529 35-39 Male United States of America
## 530 30-34 Male India
## 531 18-21 Female Tunisia
## 532 55-59 Male United States of America
## 533 45-49 Male India
## 534 25-29 Male United States of America
## 535 60-69 Male United States of America
## 536 25-29 Male United States of America
## 537 22-24 Male Bangladesh
## 538 30-34 Male Poland
## 539 35-39 Male Singapore
## 540 22-24 Male Greece
## 541 22-24 Male Bangladesh
## 542 25-29 Male United Kingdom
## 543 30-34 Male Brazil
## 544 35-39 Male United States of America
## 545 22-24 Female Morocco
## 546 25-29 Male Russia
## 547 22-24 Male Turkey
## 548 18-21 Male India
## 549 22-24 Female Portugal
## 550 25-29 Male United States of America
## 551 30-34 Female Egypt
## 552 25-29 Male Netherlands
## 553 35-39 Male United States of America
## 554 30-34 Male Switzerland
## 555 40-44 Male Other
## 556 25-29 Female India
## 557 22-24 Male India
## 558 18-21 Male United States of America
## 559 30-34 Male Brazil
## 560 55-59 Female United States of America
## 561 40-44 Male Other
## 562 25-29 Male India
## 563 30-34 Male France
## 564 18-21 Male India
## 565 35-39 Male Singapore
## 566 22-24 Male India
## 567 30-34 Female United States of America
## 568 30-34 Male Russia
## 569 25-29 Male Viet Nam
## 570 25-29 Male Brazil
## 571 22-24 Female India
## 572 35-39 Male India
## 573 30-34 Male Peru
## 574 40-44 Female South Africa
## 575 22-24 Female Canada
## 576 55-59 Female United States of America
## 577 30-34 Female United States of America
## 578 35-39 Male India
## 579 35-39 Male India
## 580 18-21 Male India
## 581 18-21 Male Kenya
## 582 22-24 Female Pakistan
## 583 45-49 Male Turkey
## 584 35-39 Male Other
## 585 22-24 Male India
## 586 25-29 Male Other
## 587 45-49 Male United States of America
## 588 35-39 Male Germany
## 589 18-21 Male United States of America
## 590 30-34 Male United States of America
## 591 22-24 Male United States of America
## 592 50-54 Male Taiwan
## 593 22-24 Female Pakistan
## 594 25-29 Male Italy
## 595 45-49 Male Brazil
## 596 18-21 Male India
## 597 22-24 Male Denmark
## 598 18-21 Female India
## 599 18-21 Male Egypt
## 600 18-21 Male India
## 601 55-59 Male Netherlands
## 602 35-39 Male Chile
## 603 25-29 Male Pakistan
## 604 22-24 Male India
## 605 18-21 Male United States of America
## 606 30-34 Male Singapore
## 607 35-39 Female Iran, Islamic Republic of...
## 608 35-39 Male Russia
## 609 18-21 Male India
## 610 22-24 Male Taiwan
## 611 35-39 Male Poland
## 612 40-44 Male Canada
## 613 18-21 Male India
## 614 35-39 Male India
## 615 25-29 Female Japan
## 616 30-34 Male Brazil
## 617 30-34 Male Pakistan
## 618 40-44 Male Other
## 619 35-39 Male Other
## 620 35-39 Male India
## 621 30-34 Female Italy
## 622 18-21 Male India
## 623 25-29 Female India
## 624 18-21 Male Russia
## 625 45-49 Prefer not to say Italy
## 626 25-29 Female Other
## 627 25-29 Male India
## 628 22-24 Female India
## 629 22-24 Male United States of America
## 630 35-39 Male Brazil
## 631 18-21 Male United States of America
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## 932 45-49 Female United States of America
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## 935 35-39 Male Turkey
## 936 22-24 Male United States of America
## 937 40-44 Female Poland
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## 939 18-21 Male India
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## 941 30-34 Male Netherlands
## 942 40-44 Prefer not to say India
## 943 35-39 Male United States of America
## 944 35-39 Female United States of America
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## 947 18-21 Male India
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## 1385 55-59 Male United States of America
## 1386 35-39 Male Pakistan
## 1387 30-34 Male India
## 1388 55-59 Male United States of America
## 1389 18-21 Prefer not to say Other
## 1390 25-29 Male India
## 1391 30-34 Male United States of America
## 1392 22-24 Male India
## 1393 18-21 Male India
## 1394 25-29 Female India
## 1395 30-34 Male Chile
## 1396 22-24 Male Other
## 1397 18-21 Male Other
## 1398 22-24 Female India
## 1399 18-21 Male Bangladesh
## 1400 22-24 Female United States of America
## 1401 30-34 Male Belgium
## 1402 22-24 Male India
## 1403 60-69 Male Hungary
## 1404 25-29 Male Brazil
## 1405 35-39 Male Germany
## 1406 30-34 Female Russia
## 1407 30-34 Female Argentina
## 1408 25-29 Male Portugal
## 1409 45-49 Male Romania
## 1410 60-69 Male United States of America
## 1411 35-39 Female Other
## 1412 18-21 Male India
## 1413 22-24 Male Nigeria
## 1414 25-29 Male Ukraine
## 1415 30-34 Female Turkey
## 1416 35-39 Male Turkey
## 1417 30-34 Male Argentina
## 1418 40-44 Male Ireland
## 1419 35-39 Male Germany
## 1420 35-39 Male Turkey
## 1421 55-59 Male France
## 1422 45-49 Male United States of America
## 1423 45-49 Male France
## 1424 35-39 Male Germany
## 1425 35-39 Male Other
## 1426 22-24 Male Other
## 1427 25-29 Male Pakistan
## 1428 25-29 Male China
## 1429 25-29 Female Bangladesh
## 1430 45-49 Male New Zealand
## 1431 50-54 Male United Kingdom
## 1432 30-34 Female United States of America
## 1433 30-34 Male Israel
## 1434 35-39 Male United States of America
## 1435 18-21 Female Tunisia
## 1436 60-69 Male United States of America
## 1437 25-29 Male Czech Republic
## 1438 22-24 Male United States of America
## 1439 22-24 Male India
## 1440 30-34 Male Brazil
## 1441 30-34 Male Spain
## 1442 25-29 Male United States of America
## 1443 22-24 Male Germany
## 1444 30-34 Male Spain
## 1445 45-49 Male Sweden
## 1446 25-29 Male Nigeria
## 1447 22-24 Male Russia
## 1448 40-44 Male Japan
## 1449 30-34 Male Argentina
## 1450 40-44 Female United States of America
## 1451 45-49 Male Russia
## 1452 30-34 Female Canada
## 1453 35-39 Male United States of America
## 1454 35-39 Male Ireland
## 1455 35-39 Male Russia
## 1456 18-21 Male India
## 1457 25-29 Male United States of America
## 1458 40-44 Male Canada
## 1459 25-29 Male Other
## 1460 22-24 Male India
## 1461 35-39 Male United States of America
## 1462 30-34 Male United States of America
## 1463 18-21 Male Brazil
## 1464 25-29 Male Russia
## 1465 35-39 Male United States of America
## 1466 40-44 Male Brazil
## 1467 22-24 Prefer not to say United States of America
## 1468 60-69 Male Australia
## 1469 25-29 Female United Kingdom
## 1470 40-44 Male United States of America
## 1471 40-44 Male United States of America
## 1472 40-44 Male United Kingdom
## 1473 22-24 Male India
## 1474 25-29 Male United States of America
## 1475 30-34 Male Brazil
## 1476 30-34 Male United Kingdom
## 1477 22-24 Male United States of America
## 1478 25-29 Male Ukraine
## 1479 25-29 Female United States of America
## 1480 40-44 Prefer to self-describe United States of America
## 1481 50-54 Male Chile
## 1482 60-69 Male Australia
## 1483 25-29 Male United States of America
## 1484 22-24 Female India
## 1485 55-59 Male United States of America
## 1486 45-49 Male Poland
## 1487 25-29 Male India
## 1488 18-21 Male United States of America
## 1489 35-39 Male Ukraine
## 1490 45-49 Male Brazil
## 1491 18-21 Male Russia
## 1492 30-34 Male Japan
## 1493 25-29 Male Germany
## 1494 18-21 Male Russia
## 1495 45-49 Male United States of America
## 1496 22-24 Male India
## 1497 25-29 Male Iran, Islamic Republic of...
## 1498 40-44 Male Ukraine
## 1499 25-29 Male United States of America
## 1500 22-24 Male France
## 1501 18-21 Female United States of America
## 1502 55-59 Male United States of America
## 1503 35-39 Female United States of America
## 1504 22-24 Male Argentina
## 1505 18-21 Male India
## 1506 50-54 Male Spain
## 1507 30-34 Female Germany
## 1508 30-34 Male United States of America
## 1509 35-39 Male New Zealand
## 1510 30-34 Male Germany
## 1511 22-24 Female Indonesia
## 1512 18-21 Male United States of America
## 1513 25-29 Male India
## 1514 45-49 Male United States of America
## 1515 25-29 Male Brazil
## 1516 25-29 Prefer not to say India
## 1517 30-34 Female New Zealand
## 1518 30-34 Male Canada
## 1519 35-39 Male Australia
## 1520 25-29 Male United States of America
## 1521 22-24 Female Tunisia
## 1522 50-54 Male United States of America
## 1523 25-29 Female United States of America
## 1524 30-34 Male Turkey
## 1525 30-34 Male Poland
## 1526 25-29 Male Australia
## 1527 30-34 Male United States of America
## 1528 25-29 Male United States of America
## 1529 25-29 Male Netherlands
## 1530 35-39 Male Brazil
## 1531 40-44 Male Italy
## 1532 25-29 Male United States of America
## 1533 45-49 Female Argentina
## 1534 22-24 Male Ukraine
## 1535 35-39 Male France
## 1536 30-34 Male Canada
## 1537 22-24 Male Russia
## 1538 35-39 Female Mexico
## 1539 22-24 Male Morocco
## 1540 25-29 Male Argentina
## 1541 25-29 Male Czech Republic
## 1542 35-39 Male Poland
## 1543 22-24 Male Mexico
## 1544 35-39 Male Canada
## 1545 35-39 Female United States of America
## 1546 35-39 Male Greece
## 1547 60-69 Female United States of America
## 1548 45-49 Male United States of America
## 1549 22-24 Male Iran, Islamic Republic of...
## 1550 30-34 Male Ukraine
## 1551 50-54 Female United States of America
## 1552 22-24 Male Russia
## 1553 22-24 Male India
## 1554 22-24 Male India
## 1555 55-59 Male Other
## 1556 40-44 Prefer not to say United States of America
## 1557 40-44 Male Australia
## 1558 30-34 Female Australia
## 1559 45-49 Male United States of America
## 1560 35-39 Male United States of America
## 1561 35-39 Male New Zealand
## 1562 45-49 Male Chile
## 1563 35-39 Male Italy
## 1564 35-39 Male Japan
## 1565 30-34 Male United Kingdom
## 1566 25-29 Male Ireland
## 1567 40-44 Male Germany
## 1568 25-29 Female Germany
## 1569 25-29 Male Other
## 1570 22-24 Female Ukraine
## 1571 25-29 Male Brazil
## 1572 30-34 Female Chile
## 1573 35-39 Male South Korea
## 1574 35-39 Male Egypt
## 1575 35-39 Female Colombia
## 1576 25-29 Male Brazil
## 1577 50-54 Prefer to self-describe Brazil
## 1578 18-21 Female India
## 1579 25-29 Male Russia
## 1580 18-21 Male United States of America
## 1581 45-49 Male Netherlands
## 1582 40-44 Male United States of America
## 1583 22-24 Male Spain
## 1584 30-34 Male Germany
## 1585 25-29 Male United States of America
## 1586 25-29 Male Belgium
## 1587 30-34 Male Brazil
## 1588 22-24 Male Italy
## 1589 25-29 Male United States of America
## 1590 40-44 Male Australia
## 1591 25-29 Male Other
## 1592 70+ Male Brazil
## 1593 30-34 Male Norway
## 1594 22-24 Male Austria
## 1595 30-34 Male United States of America
## 1596 30-34 Male Mexico
## 1597 40-44 Male Germany
## 1598 18-21 Male India
## 1599 40-44 Female Germany
## 1600 35-39 Female United States of America
## 1601 22-24 Male Tunisia
## 1602 35-39 Male Japan
## 1603 25-29 Male Belarus
## 1604 35-39 Male Viet Nam
## 1605 50-54 Male Canada
## 1606 30-34 Male United States of America
## 1607 35-39 Male Brazil
## 1608 40-44 Male Spain
## 1609 35-39 Male Germany
## 1610 22-24 Female United States of America
## 1611 35-39 Male United States of America
## 1612 18-21 Male India
## 1613 25-29 Male United States of America
## 1614 45-49 Male United States of America
## 1615 40-44 Male United States of America
## 1616 40-44 Male South Africa
## 1617 18-21 Male India
## 1618 30-34 Male Turkey
## 1619 50-54 Male United States of America
## 1620 35-39 Female Other
## 1621 30-34 Prefer not to say United States of America
## 1622 60-69 Male United States of America
## 1623 30-34 Male India
## 1624 35-39 Male Romania
## 1625 50-54 Female Nigeria
## 1626 55-59 Male United States of America
## 1627 25-29 Female Germany
## 1628 35-39 Female United Kingdom
## 1629 40-44 Male Germany
## 1630 30-34 Male Australia
## 1631 35-39 Male Portugal
## 1632 22-24 Female Other
## 1633 25-29 Male Hungary
## 1634 55-59 Male United States of America
## 1635 25-29 Male United States of America
## 1636 35-39 Male United States of America
## 1637 25-29 Male Germany
## 1638 35-39 Male Turkey
## 1639 22-24 Male India
## 1640 35-39 Male Australia
## 1641 22-24 Male Egypt
## 1642 30-34 Male Argentina
## 1643 25-29 Female United States of America
## 1644 35-39 Male United States of America
## 1645 50-54 Male United States of America
## 1646 35-39 Male Australia
## 1647 22-24 Male Romania
## 1648 25-29 Male Nigeria
## 1649 25-29 Male Russia
## 1650 25-29 Female India
## 1651 18-21 Male India
## 1652 30-34 Male Other
## 1653 30-34 Male Spain
## 1654 22-24 Male Japan
## 1655 35-39 Male Portugal
## 1656 45-49 Male Morocco
## 1657 50-54 Male India
## 1658 40-44 Male Australia
## 1659 40-44 Male Australia
## 1660 30-34 Male United States of America
## 1661 40-44 Male Germany
## 1662 30-34 Male United Kingdom
## 1663 35-39 Male Turkey
## 1664 50-54 Male United States of America
## 1665 25-29 Male United States of America
## 1666 25-29 Male United States of America
## 1667 18-21 Male India
## 1668 25-29 Male United States of America
## 1669 45-49 Male United States of America
## 1670 25-29 Male Australia
## 1671 25-29 Male India
## 1672 18-21 Female Japan
## 1673 25-29 Male India
## 1674 35-39 Male United Kingdom
## 1675 70+ Male United States of America
## 1676 30-34 Male Canada
## 1677 40-44 Male United States of America
## 1678 25-29 Male United Kingdom
## 1679 40-44 Male Other
## 1680 35-39 Male United States of America
## 1681 60-69 Male Netherlands
## 1682 50-54 Male United Kingdom
## 1683 30-34 Male United States of America
## 1684 35-39 Female United States of America
## 1685 25-29 Male United States of America
## 1686 25-29 Male Nigeria
## 1687 30-34 Male Turkey
## 1688 45-49 Male Norway
## 1689 35-39 Male Italy
## 1690 35-39 Male Spain
## 1691 30-34 Female Canada
## 1692 40-44 Male Peru
## 1693 18-21 Male United States of America
## 1694 18-21 Male United States of America
## 1695 45-49 Male Australia
## 1696 22-24 Female Tunisia
## 1697 40-44 Prefer not to say Portugal
## 1698 35-39 Male Australia
## 1699 35-39 Male Germany
## 1700 30-34 Male Other
## 1701 60-69 Female United States of America
## 1702 25-29 Male Other
## 1703 35-39 Male Canada
## 1704 35-39 Male United States of America
## 1705 70+ Male United States of America
## 1706 22-24 Male Indonesia
## 1707 18-21 Male Nigeria
## 1708 25-29 Female United States of America
## 1709 30-34 Prefer to self-describe United States of America
## 1710 40-44 Female Canada
## 1711 25-29 Female United States of America
## 1712 18-21 Male Pakistan
## 1713 45-49 Male United States of America
## 1714 30-34 Male United States of America
## 1715 35-39 Male Brazil
## 1716 40-44 Male India
## 1717 30-34 Male Brazil
## 1718 22-24 Male Italy
## 1719 22-24 Male Other
## 1720 30-34 Female India
## 1721 25-29 Prefer not to say Spain
## 1722 18-21 Male India
## 1723 40-44 Male Morocco
## 1724 22-24 Male Colombia
## 1725 18-21 Male United States of America
## 1726 30-34 Male United Kingdom
## 1727 60-69 Male Canada
## 1728 30-34 Male Australia
## 1729 18-21 Male Other
## 1730 22-24 Male Mexico
## 1731 35-39 Female United States of America
## 1732 40-44 Male United States of America
## 1733 45-49 Male United States of America
## 1734 55-59 Male Italy
## 1735 25-29 Male Peru
## 1736 40-44 Male Other
## 1737 35-39 Male Japan
## 1738 40-44 Male Canada
## 1739 40-44 Male United States of America
## 1740 45-49 Male Spain
## 1741 18-21 Male Iran, Islamic Republic of...
## 1742 35-39 Male Germany
## 1743 22-24 Male United States of America
## 1744 30-34 Male United States of America
## 1745 40-44 Male Germany
## 1746 35-39 Male Norway
## 1747 22-24 Male United States of America
## 1748 50-54 Male United States of America
## 1749 30-34 Female United States of America
## 1750 25-29 Male Austria
## 1751 50-54 Male Czech Republic
## 1752 25-29 Female United States of America
## 1753 25-29 Male Egypt
## 1754 30-34 Female France
## 1755 22-24 Male Italy
## 1756 22-24 Female Germany
## 1757 55-59 Male United States of America
## 1758 40-44 Female United States of America
## 1759 25-29 Male India
## 1760 70+ Male Canada
## 1761 35-39 Male Colombia
## 1762 22-24 Male United States of America
## 1763 25-29 Male India
## 1764 25-29 Male India
## 1765 45-49 Male United States of America
## 1766 30-34 Male Canada
## 1767 18-21 Female United States of America
## 1768 35-39 Male United States of America
## 1769 40-44 Male Belgium
## 1770 35-39 Male Other
## 1771 30-34 Male Mexico
## 1772 25-29 Male India
## 1773 22-24 Male Portugal
## 1774 22-24 Male Other
## 1775 35-39 Male Canada
## 1776 22-24 Male Israel
## 1777 40-44 Female Canada
## 1778 30-34 Male Canada
## 1779 30-34 Male Morocco
## 1780 35-39 Male Canada
## 1781 22-24 Female India
## 1782 35-39 Male Other
## 1783 22-24 Male United States of America
## 1784 50-54 Male Brazil
## 1785 30-34 Male Norway
## 1786 25-29 Female Turkey
## 1787 25-29 Male Japan
## 1788 55-59 Male Other
## 1789 18-21 Male Other
## 1790 25-29 Male Brazil
## 1791 30-34 Male Sweden
## 1792 22-24 Male India
## 1793 25-29 Male United States of America
## 1794 30-34 Female United States of America
## 1795 25-29 Male United States of America
## 1796 25-29 Male United States of America
## 1797 40-44 Male Other
## 1798 30-34 Male Canada
## 1799 35-39 Male Australia
## 1800 18-21 Male India
## 1801 30-34 Male Turkey
## 1802 25-29 Female France
## 1803 30-34 Male United States of America
## 1804 18-21 Male India
## 1805 30-34 Male United Kingdom
## 1806 35-39 Male United States of America
## 1807 50-54 Female Brazil
## 1808 25-29 Male United States of America
## 1809 35-39 Female Pakistan
## 1810 40-44 Male Romania
## 1811 40-44 Male Portugal
## 1812 22-24 Male United States of America
## 1813 40-44 Male United States of America
## 1814 60-69 Male Brazil
## 1815 70+ Male Canada
## 1816 25-29 Male Australia
## 1817 35-39 Male Other
## 1818 60-69 Male United States of America
## 1819 45-49 Male United States of America
## 1820 35-39 Male United States of America
## 1821 18-21 Male United States of America
## 1822 35-39 Male Algeria
## 1823 30-34 Male Australia
## 1824 25-29 Male Sweden
## 1825 30-34 Male United States of America
## 1826 40-44 Male France
## 1827 30-34 Male Ukraine
## 1828 30-34 Male Argentina
## 1829 35-39 Male Japan
## 1830 30-34 Male United States of America
## 1831 55-59 Male Australia
## 1832 50-54 Male United States of America
## 1833 22-24 Male India
## 1834 22-24 Male United States of America
## 1835 30-34 Male United States of America
## 1836 18-21 Male India
## 1837 22-24 Male Canada
## 1838 60-69 Male Netherlands
## 1839 50-54 Male Spain
## 1840 35-39 Male Other
## 1841 22-24 Male United Kingdom
## 1842 60-69 Male Other
## 1843 22-24 Male United States of America
## 1844 22-24 Male Iran, Islamic Republic of...
## 1845 35-39 Female United States of America
## 1846 18-21 Male India
## 1847 70+ Male United States of America
## 1848 30-34 Male Spain
## 1849 30-34 Male United States of America
## 1850 40-44 Male Taiwan
## 1851 18-21 Male Nigeria
## 1852 25-29 Male Russia
## 1853 25-29 Female United States of America
## 1854 25-29 Male United States of America
## 1855 55-59 Male United States of America
## 1856 30-34 Male Malaysia
## 1857 50-54 Male United States of America
## 1858 70+ Male United States of America
## 1859 25-29 Female Spain
## 1860 22-24 Male Japan
## 1861 35-39 Male Switzerland
## 1862 22-24 Male Argentina
## 1863 22-24 Male India
## 1864 40-44 Female Algeria
## 1865 25-29 Male United States of America
## 1866 50-54 Male Canada
## 1867 35-39 Female Turkey
## 1868 40-44 Male United States of America
## 1869 25-29 Male Brazil
## 1870 30-34 Male Taiwan
## 1871 22-24 Male Australia
## 1872 25-29 Male Other
## 1873 22-24 Male Greece
## 1874 18-21 Male United States of America
## 1875 60-69 Male United States of America
## 1876 60-69 Male United States of America
## 1877 45-49 Male Other
## 1878 45-49 Male Germany
## 1879 30-34 Male United Kingdom
## 1880 18-21 Male Philippines
## 1881 22-24 Male Nigeria
## 1882 40-44 Male Australia
## 1883 25-29 Male Other
## 1884 18-21 Male India
## 1885 25-29 Female United States of America
## 1886 35-39 Male New Zealand
## 1887 40-44 Male Brazil
## 1888 25-29 Male United Kingdom
## 1889 30-34 Male Turkey
## 1890 18-21 Male Brazil
## 1891 40-44 Male United States of America
## 1892 35-39 Male United States of America
## 1893 25-29 Male France
## 1894 30-34 Male Mexico
## 1895 22-24 Male Japan
## 1896 25-29 Female United States of America
## 1897 18-21 Male Canada
## 1898 35-39 Male United States of America
## 1899 35-39 Male Germany
## 1900 22-24 Male Tunisia
## 1901 30-34 Male Australia
## 1902 25-29 Male Morocco
## 1903 25-29 Male Australia
## 1904 45-49 Male United States of America
## 1905 22-24 Male Colombia
## 1906 50-54 Male Brazil
## 1907 40-44 Male United States of America
## 1908 30-34 Female United States of America
## 1909 18-21 Male Russia
## 1910 30-34 Male Netherlands
## 1911 18-21 Male United States of America
## 1912 30-34 Female Brazil
## 1913 22-24 Male Portugal
## 1914 40-44 Male United States of America
## 1915 45-49 Male Peru
## 1916 40-44 Male Singapore
## 1917 35-39 Male United States of America
## 1918 25-29 Male Japan
## 1919 18-21 Male India
## 1920 45-49 Male United States of America
## 1921 22-24 Female Tunisia
## 1922 30-34 Male Nigeria
## 1923 22-24 Male United States of America
## 1924 35-39 Male South Korea
## 1925 50-54 Male Argentina
## 1926 25-29 Male India
## 1927 30-34 Male United States of America
## 1928 22-24 Male Morocco
## 1929 25-29 Male Japan
## 1930 22-24 Male United States of America
## 1931 22-24 Male Colombia
## 1932 18-21 Male Nigeria
## 1933 50-54 Male Australia
## 1934 25-29 Male Brazil
## 1935 30-34 Male Argentina
## 1936 25-29 Male United Kingdom
## 1937 22-24 Female United States of America
## 1938 35-39 Male Australia
## 1939 25-29 Female Malaysia
## 1940 25-29 Male Japan
## 1941 45-49 Male Brazil
## 1942 30-34 Male Japan
## 1943 22-24 Male South Africa
## 1944 30-34 Female Taiwan
## 1945 25-29 Male United States of America
## 1946 60-69 Male Japan
## 1947 25-29 Male United States of America
## 1948 30-34 Male Russia
## 1949 50-54 Male Taiwan
## 1950 25-29 Male Morocco
## 1951 25-29 Male Brazil
## 1952 30-34 Male United States of America
## 1953 35-39 Male Iran, Islamic Republic of...
## 1954 22-24 Male Italy
## 1955 55-59 Female United States of America
## 1956 30-34 Male Australia
## 1957 35-39 Male Taiwan
## 1958 35-39 Male Turkey
## 1959 45-49 Male Mexico
## 1960 45-49 Female United States of America
## 1961 22-24 Male Malaysia
## 1962 50-54 Male United States of America
## 1963 55-59 Male United States of America
## 1964 25-29 Male Brazil
## 1965 40-44 Male Taiwan
## 1966 30-34 Male Japan
## 1967 25-29 Male United States of America
## 1968 45-49 Male United States of America
## 1969 25-29 Female United Kingdom
## 1970 30-34 Male United States of America
## 1971 25-29 Male Belarus
## 1972 18-21 Male Colombia
## 1973 45-49 Male United States of America
## 1974 35-39 Prefer to self-describe Canada
## 1975 25-29 Male India
## 1976 35-39 Male Germany
## 1977 40-44 Female United States of America
## 1978 40-44 Male Argentina
## 1979 22-24 Male Tunisia
## 1980 25-29 Male Canada
## 1981 18-21 Male Indonesia
## 1982 25-29 Male Brazil
## 1983 25-29 Male Other
## 1984 30-34 Male Japan
## 1985 35-39 Male United States of America
## 1986 25-29 Male China
## 1987 45-49 Male Australia
## 1988 30-34 Male United States of America
## 1989 25-29 Female United Kingdom
## 1990 30-34 Male United States of America
## 1991 22-24 Male United Kingdom
## 1992 30-34 Male Brazil
## 1993 30-34 Male United States of America
## 1994 25-29 Male Nigeria
## 1995 22-24 Male Brazil
## 1996 35-39 Female United States of America
## 1997 25-29 Female Poland
## 1998 30-34 Male United States of America
## 1999 25-29 Male Colombia
## 2000 22-24 Male Brazil
## 2001 25-29 Female Brazil
## 2002 18-21 Male United States of America
## 2003 25-29 Male United States of America
## 2004 35-39 Female Canada
## 2005 25-29 Male United States of America
## 2006 25-29 Male Algeria
## 2007 25-29 Male Australia
## 2008 40-44 Male Argentina
## 2009 30-34 Male Brazil
## 2010 40-44 Male United Kingdom
## 2011 60-69 Male United States of America
## 2012 22-24 Male Spain
## 2013 50-54 Male United States of America
## 2014 30-34 Male Malaysia
## 2015 25-29 Male Mexico
## 2016 25-29 Male Japan
## 2017 30-34 Female Other
## 2018 60-69 Male United States of America
## 2019 35-39 Male United States of America
## 2020 45-49 Male Mexico
## 2021 25-29 Male Peru
## 2022 25-29 Male United States of America
## 2023 22-24 Female United States of America
## 2024 22-24 Male Philippines
## 2025 40-44 Male Japan
## 2026 25-29 Male United States of America
## 2027 18-21 Male Iran, Islamic Republic of...
## 2028 30-34 Male Argentina
## 2029 25-29 Male France
## 2030 35-39 Male Switzerland
## 2031 40-44 Male United States of America
## 2032 18-21 Male India
## 2033 40-44 Male Singapore
## 2034 22-24 Female United States of America
## 2035 25-29 Male United States of America
## 2036 22-24 Male Indonesia
## 2037 35-39 Male Australia
## 2038 50-54 Male Australia
## 2039 40-44 Male United States of America
## 2040 30-34 Male Other
## 2041 55-59 Male United States of America
## 2042 22-24 Prefer not to say United States of America
## 2043 35-39 Male Brazil
## 2044 30-34 Male Germany
## 2045 22-24 Male India
## 2046 45-49 Female United States of America
## 2047 35-39 Male Germany
## 2048 18-21 Male Japan
## 2049 22-24 Male Nigeria
## 2050 18-21 Male United States of America
## 2051 25-29 Male Germany
## 2052 22-24 Male United Kingdom
## 2053 30-34 Male Japan
## 2054 25-29 Male United States of America
## 2055 30-34 Male Japan
## 2056 35-39 Male Brazil
## 2057 70+ Male United States of America
## 2058 25-29 Male Brazil
## 2059 22-24 Male Mexico
## 2060 25-29 Female Turkey
## 2061 45-49 Prefer not to say Colombia
## 2062 40-44 Male Argentina
## 2063 40-44 Female Canada
## 2064 40-44 Female United States of America
## 2065 45-49 Male United Kingdom
## 2066 25-29 Male United States of America
## 2067 30-34 Male Australia
## 2068 40-44 Male United States of America
## 2069 30-34 Male United States of America
## 2070 35-39 Male United States of America
## 2071 60-69 Male United States of America
## 2072 35-39 Male Mexico
## 2073 25-29 Male United Kingdom
## 2074 25-29 Male Japan
## 2075 35-39 Male United States of America
## 2076 50-54 Male Brazil
## 2077 45-49 Female Canada
## 2078 40-44 Male Australia
## 2079 30-34 Female Other
## 2080 30-34 Male Australia
## 2081 22-24 Male Japan
## 2082 30-34 Male Portugal
## 2083 35-39 Male Republic of Korea
## 2084 25-29 Male Brazil
## 2085 45-49 Male Colombia
## 2086 30-34 Male Poland
## 2087 40-44 Male Peru
## 2088 30-34 Female United States of America
## 2089 40-44 Male Taiwan
## 2090 45-49 Male United States of America
## 2091 55-59 Male Russia
## 2092 25-29 Male Indonesia
## 2093 40-44 Female Malaysia
## 2094 55-59 Prefer not to say Other
## 2095 22-24 Male Ireland
## 2096 35-39 Male Other
## 2097 18-21 Male India
## 2098 25-29 Male United States of America
## 2099 35-39 Male United States of America
## 2100 70+ Female Brazil
## 2101 45-49 Male Japan
## 2102 18-21 Male Colombia
## 2103 25-29 Male United States of America
## 2104 35-39 Prefer not to say Spain
## 2105 45-49 Male Hong Kong (S.A.R.)
## 2106 22-24 Male Japan
## 2107 40-44 Male South Korea
## 2108 45-49 Female United States of America
## 2109 40-44 Male Brazil
## 2110 35-39 Male Republic of Korea
## 2111 25-29 Male Japan
## 2112 22-24 Male Pakistan
## 2113 25-29 Male Malaysia
## 2114 35-39 Female Chile
## 2115 35-39 Male India
## 2116 22-24 Male South Korea
## 2117 30-34 Female United States of America
## 2118 22-24 Male Canada
## 2119 55-59 Male United Kingdom
## 2120 35-39 Male Philippines
## 2121 18-21 Male Turkey
## 2122 18-21 Male India
## 2123 25-29 Female Canada
## 2124 40-44 Male United States of America
## 2125 35-39 Female Malaysia
## 2126 55-59 Male United States of America
## 2127 45-49 Male Taiwan
## 2128 25-29 Male Singapore
## 2129 30-34 Male United States of America
## 2130 22-24 Male United States of America
## 2131 18-21 Female India
## 2132 35-39 Female United States of America
## 2133 30-34 Male Japan
## 2134 18-21 Male Indonesia
## 2135 40-44 Male Japan
## 2136 30-34 Male United States of America
## 2137 45-49 Male United States of America
## 2138 35-39 Male United States of America
## 2139 22-24 Male United States of America
## 2140 40-44 Male Japan
## 2141 22-24 Female Japan
## 2142 18-21 Male India
## 2143 35-39 Male United States of America
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## 2145 22-24 Female Malaysia
## 2146 50-54 Male Indonesia
## 2147 25-29 Male Japan
## 2148 30-34 Male India
## 2149 60-69 Male Japan
## 2150 60-69 Male Chile
## 2151 30-34 Male Japan
## 2152 35-39 Male Australia
## 2153 30-34 Male United States of America
## 2154 25-29 Female Indonesia
## 2155 30-34 Male United States of America
## 2156 22-24 Male United States of America
## 2157 22-24 Male Japan
## 2158 35-39 Male Japan
## 2159 45-49 Male Japan
## 2160 35-39 Male Colombia
## 2161 50-54 Male Argentina
## 2162 40-44 Male United States of America
## 2163 30-34 Male Canada
## 2164 30-34 Male United States of America
## 2165 45-49 Male New Zealand
## 2166 22-24 Male Philippines
## 2167 40-44 Male Republic of Korea
## 2168 18-21 Male China
## 2169 40-44 Male India
## 2170 25-29 Male Singapore
## 2171 22-24 Male China
## 2172 30-34 Male Malaysia
## 2173 35-39 Male United States of America
## 2174 40-44 Male Malaysia
## 2175 18-21 Male India
## 2176 50-54 Male Japan
## 2177 40-44 Female Singapore
## 2178 45-49 Male United States of America
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## 2180 25-29 Male United States of America
## 2181 25-29 Male Japan
## 2182 60-69 Male Canada
## 2183 22-24 Male United States of America
## 2184 25-29 Female United States of America
## 2185 22-24 Female United States of America
## 2186 45-49 Male Brazil
## 2187 18-21 Male Viet Nam
## 2188 40-44 Prefer not to say United States of America
## 2189 30-34 Male United Kingdom
## 2190 22-24 Male India
## 2191 45-49 Male United States of America
## 2192 35-39 Male Brazil
## 2193 22-24 Male India
## 2194 45-49 Male Spain
## 2195 30-34 Female India
## 2196 30-34 Male United States of America
## 2197 35-39 Male Malaysia
## 2198 22-24 Male United States of America
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## 2200 25-29 Male Taiwan
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## 2202 30-34 Male United States of America
## 2203 40-44 Male Japan
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## 2205 25-29 Male Canada
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## 2211 30-34 Male Japan
## 2212 25-29 Female United States of America
## 2213 25-29 Male United States of America
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## 2215 22-24 Male Colombia
## 2216 22-24 Female Canada
## 2217 60-69 Male United States of America
## 2218 30-34 Male Singapore
## 2219 25-29 Male Other
## 2220 25-29 Male Argentina
## 2221 25-29 Male Philippines
## 2222 30-34 Female United States of America
## 2223 25-29 Female United States of America
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## 2225 35-39 Male India
## 2226 25-29 Female Canada
## 2227 30-34 Male Brazil
## 2228 45-49 Male Thailand
## 2229 40-44 Male United States of America
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## 2231 40-44 Male United States of America
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## 2233 25-29 Male Malaysia
## 2234 22-24 Male United States of America
## 2235 40-44 Male Japan
## 2236 45-49 Male India
## 2237 40-44 Male Chile
## 2238 30-34 Male Colombia
## 2239 18-21 Male India
## 2240 18-21 Male China
## 2241 22-24 Male Brazil
## 2242 25-29 Prefer not to say Philippines
## 2243 35-39 Male United States of America
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## 2245 30-34 Male Singapore
## 2246 45-49 Male United States of America
## 2247 25-29 Female United States of America
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## 2249 22-24 Male Viet Nam
## 2250 25-29 Male United States of America
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## 2254 30-34 Male Brazil
## 2255 25-29 Male Argentina
## 2256 30-34 Male United States of America
## 2257 45-49 Female South Korea
## 2258 35-39 Male United States of America
## 2259 30-34 Male Brazil
## 2260 18-21 Male United States of America
## 2261 60-69 Male Brazil
## 2262 30-34 Male Indonesia
## 2263 25-29 Male Brazil
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## 2266 18-21 Male India
## 2267 18-21 Male India
## 2268 18-21 Male Singapore
## 2269 30-34 Male Turkey
## 2270 30-34 Male United States of America
## 2271 60-69 Female United States of America
## 2272 18-21 Male India
## 2273 18-21 Prefer not to say China
## 2274 40-44 Male Canada
## 2275 30-34 Male Brazil
## 2276 22-24 Male India
## 2277 60-69 Male Australia
## 2278 30-34 Male Sweden
## 2279 30-34 Female Colombia
## 2280 45-49 Male Canada
## 2281 40-44 Male United States of America
## 2282 22-24 Male India
## 2283 40-44 Male Australia
## 2284 18-21 Male Brazil
## 2285 35-39 Male India
## 2286 25-29 Male India
## 2287 40-44 Male United States of America
## 2288 50-54 Female Singapore
## 2289 25-29 Male Japan
## 2290 25-29 Male India
## 2291 18-21 Male India
## 2292 30-34 Female United States of America
## 2293 25-29 Male India
## 2294 30-34 Male United States of America
## 2295 45-49 Male Taiwan
## 2296 55-59 Male United States of America
## 2297 40-44 Male Taiwan
## 2298 22-24 Male Hong Kong (S.A.R.)
## 2299 45-49 Male China
## 2300 40-44 Male Brazil
## 2301 45-49 Male Taiwan
## 2302 25-29 Female Canada
## 2303 25-29 Male Brazil
## 2304 45-49 Male Other
## 2305 25-29 Male United States of America
## 2306 50-54 Male United States of America
## 2307 25-29 Male Japan
## 2308 45-49 Male United States of America
## 2309 25-29 Male Canada
## 2310 25-29 Male China
## 2311 40-44 Male India
## 2312 18-21 Male Taiwan
## 2313 25-29 Male Viet Nam
## 2314 35-39 Male Australia
## 2315 30-34 Male United States of America
## 2316 30-34 Male Brazil
## 2317 22-24 Male Viet Nam
## 2318 40-44 Male United States of America
## 2319 22-24 Male India
## 2320 22-24 Male Indonesia
## 2321 35-39 Female Malaysia
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## 2323 45-49 Male Taiwan
## 2324 30-34 Female United States of America
## 2325 40-44 Male India
## 2326 45-49 Male United States of America
## 2327 40-44 Male United States of America
## 2328 45-49 Male United States of America
## 2329 25-29 Male Singapore
## 2330 18-21 Male India
## 2331 30-34 Male Brazil
## 2332 25-29 Female India
## 2333 30-34 Male Colombia
## 2334 22-24 Male Brazil
## 2335 22-24 Male Portugal
## 2336 30-34 Female United States of America
## 2337 35-39 Male China
## 2338 22-24 Male Hong Kong (S.A.R.)
## 2339 40-44 Female Singapore
## 2340 50-54 Male United States of America
## 2341 30-34 Male United States of America
## 2342 30-34 Female Taiwan
## 2343 30-34 Male United States of America
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## 2345 22-24 Male Pakistan
## 2346 25-29 Male Taiwan
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## 2348 18-21 Male India
## 2349 40-44 Male Singapore
## 2350 18-21 Male India
## 2351 60-69 Male United States of America
## 2352 30-34 Male India
## 2353 30-34 Male Japan
## 2354 35-39 Male Mexico
## 2355 25-29 Male India
## 2356 30-34 Male India
## 2357 18-21 Male India
## 2358 30-34 Male Peru
## 2359 35-39 Female China
## 2360 35-39 Male India
## 2361 25-29 Male China
## 2362 22-24 Male India
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## 2368 18-21 Male India
## 2369 40-44 Male Chile
## 2370 25-29 Male Brazil
## 2371 50-54 Male United States of America
## 2372 18-21 Male India
## 2373 25-29 Male Brazil
## 2374 22-24 Male Brazil
## 2375 22-24 Male India
## 2376 50-54 Male United States of America
## 2377 22-24 Male Ukraine
## 2378 35-39 Male United States of America
## 2379 35-39 Male United States of America
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## 2381 45-49 Male Belarus
## 2382 25-29 Female China
## 2383 35-39 Male United States of America
## 2384 45-49 Male Singapore
## 2385 35-39 Male United States of America
## 2386 50-54 Male United States of America
## 2387 25-29 Male Colombia
## 2388 18-21 Male India
## 2389 30-34 Male Chile
## 2390 25-29 Female Japan
## 2391 35-39 Male Australia
## 2392 55-59 Male Canada
## 2393 40-44 Female Chile
## 2394 25-29 Male India
## 2395 40-44 Male Australia
## 2396 45-49 Male United States of America
## 2397 18-21 Male India
## 2398 45-49 Male United States of America
## 2399 18-21 Male India
## 2400 18-21 Male India
## 2401 40-44 Male United States of America
## 2402 22-24 Male China
## 2403 25-29 Male India
## 2404 25-29 Male United States of America
## 2405 30-34 Female United States of America
## 2406 50-54 Male Mexico
## 2407 35-39 Male United States of America
## 2408 25-29 Male Pakistan
## 2409 22-24 Female India
## 2410 30-34 Male United States of America
## 2411 30-34 Male Japan
## 2412 30-34 Male China
## 2413 22-24 Male Brazil
## 2414 30-34 Male Brazil
## 2415 22-24 Male Malaysia
## 2416 30-34 Male India
## 2417 35-39 Prefer not to say United States of America
## 2418 25-29 Male Brazil
## 2419 25-29 Female Indonesia
## 2420 30-34 Female United States of America
## 2421 30-34 Female Canada
## 2422 18-21 Female India
## 2423 25-29 Prefer not to say Taiwan
## 2424 30-34 Male United States of America
## 2425 35-39 Male United States of America
## 2426 22-24 Male India
## 2427 35-39 Male Japan
## 2428 22-24 Male Japan
## 2429 55-59 Male United States of America
## 2430 50-54 Female United States of America
## 2431 30-34 Male United States of America
## 2432 22-24 Male India
## 2433 30-34 Male India
## 2434 35-39 Female Malaysia
## 2435 35-39 Male United States of America
## 2436 25-29 Male Japan
## 2437 30-34 Male Indonesia
## 2438 40-44 Male South Korea
## 2439 22-24 Prefer not to say Malaysia
## 2440 50-54 Male India
## 2441 18-21 Male India
## 2442 18-21 Male India
## 2443 25-29 Male United States of America
## 2444 35-39 Male Hong Kong (S.A.R.)
## 2445 30-34 Male United States of America
## 2446 25-29 Male India
## 2447 30-34 Male Philippines
## 2448 30-34 Male United States of America
## 2449 40-44 Male Peru
## 2450 35-39 Male United States of America
## 2451 40-44 Male Brazil
## 2452 35-39 Male United States of America
## 2453 40-44 Male India
## 2454 60-69 Male India
## 2455 40-44 Male Colombia
## 2456 60-69 Male United States of America
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## 2458 30-34 Female Argentina
## 2459 25-29 Male Singapore
## 2460 35-39 Male United States of America
## 2461 30-34 Male China
## 2462 40-44 Female Taiwan
## 2463 25-29 Male Pakistan
## 2464 35-39 Male Taiwan
## 2465 35-39 Male Singapore
## 2466 35-39 Male Japan
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## 2468 35-39 Male South Korea
## 2469 30-34 Male Hong Kong (S.A.R.)
## 2470 22-24 Male China
## 2471 35-39 Male Colombia
## 2472 22-24 Male India
## 2473 30-34 Male Malaysia
## 2474 40-44 Male United States of America
## 2475 25-29 Male Morocco
## 2476 35-39 Male Canada
## 2477 45-49 Male United States of America
## 2478 25-29 Male India
## 2479 30-34 Female Australia
## 2480 30-34 Male Japan
## 2481 50-54 Male Japan
## 2482 22-24 Male India
## 2483 35-39 Male India
## 2484 25-29 Prefer not to say United States of America
## 2485 22-24 Male Viet Nam
## 2486 25-29 Male Thailand
## 2487 18-21 Male Bangladesh
## 2488 25-29 Male United States of America
## 2489 25-29 Male Brazil
## 2490 25-29 Male Mexico
## 2491 30-34 Male South Korea
## 2492 25-29 Male China
## 2493 45-49 Male Brazil
## 2494 25-29 Male United States of America
## 2495 25-29 Female Other
## 2496 50-54 Prefer not to say United States of America
## 2497 18-21 Male India
## 2498 30-34 Male United States of America
## 2499 30-34 Male China
## 2500 18-21 Female India
## 2501 30-34 Male Thailand
## 2502 25-29 Male India
## 2503 18-21 Male India
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## 2511 22-24 Male India
## 2512 30-34 Male United States of America
## 2513 30-34 Male India
## 2514 25-29 Male Brazil
## 2515 18-21 Male India
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## 2522 25-29 Male India
## 2523 22-24 Male India
## 2524 25-29 Male India
## 2525 22-24 Female Canada
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## 2529 35-39 Male India
## 2530 30-34 Male United States of America
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## 2532 35-39 Male Taiwan
## 2533 60-69 Male United States of America
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## 2539 18-21 Male United States of America
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## 2543 18-21 Male India
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## 2545 30-34 Male United States of America
## 2546 40-44 Male Japan
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## 2556 30-34 Male United States of America
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## 2563 25-29 Male United States of America
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## 2567 22-24 Male India
## 2568 25-29 Male India
## 2569 30-34 Male India
## 2570 50-54 Male United States of America
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## 2572 22-24 Male Taiwan
## 2573 25-29 Male India
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## 2576 30-34 Male Malaysia
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## 2580 30-34 Male United States of America
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## 2585 35-39 Male Canada
## 2586 22-24 Male India
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## 2588 30-34 Male Canada
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## 2598 18-21 Male India
## 2599 30-34 Male India
## 2600 45-49 Male India
## 2601 22-24 Male India
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## 2603 18-21 Prefer not to say India
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## 2605 35-39 Male United States of America
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## 2609 18-21 Female India
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## 2651 55-59 Male United States of America
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## 2717 18-21 Male India
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## 2730 18-21 Female India
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## 2744 30-34 Male India
## 2745 45-49 Male Canada
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## 2749 22-24 Male Viet Nam
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## 2752 35-39 Male India
## 2753 30-34 Male India
## 2754 30-34 Male India
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## 2779 22-24 Male India
## 2780 18-21 Male India
## 2781 30-34 Prefer not to say United States of America
## 2782 35-39 Male Japan
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## 2785 25-29 Male Mexico
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## 2797 70+ Male United States of America
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## 2801 25-29 Male India
## 2802 35-39 Male United States of America
## 2803 35-39 Male Russia
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## 2807 40-44 Male Viet Nam
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## 2819 45-49 Male Russia
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## 2821 25-29 Male China
## 2822 18-21 Male India
## 2823 18-21 Female India
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## 2828 18-21 Male India
## 2829 22-24 Female India
## 2830 18-21 Male Peru
## 2831 18-21 Male India
## 2832 18-21 Female Canada
## 2833 30-34 Male United States of America
## 2834 40-44 Male South Korea
## 2835 25-29 Male India
## 2836 22-24 Male China
## 2837 25-29 Prefer not to say United States of America
## 2838 18-21 Female Colombia
## 2839 60-69 Male Hong Kong (S.A.R.)
## 2840 18-21 Male India
## 2841 30-34 Male Other
## 2842 35-39 Male Singapore
## 2843 25-29 Female India
## 2844 25-29 Female United States of America
## 2845 18-21 Male India
## 2846 50-54 Male Taiwan
## 2847 30-34 Male India
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## 2850 35-39 Male Malaysia
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## 2852 18-21 Male India
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## 2868 22-24 Male India
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## 2871 25-29 Prefer not to say Indonesia
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## 2873 22-24 Female Other
## 2874 18-21 Male India
## 2875 25-29 Male India
## 2876 25-29 Male Peru
## 2877 25-29 Male United States of America
## 2878 30-34 Male India
## 2879 35-39 Male India
## 2880 25-29 Male Brazil
## 2881 35-39 Male United States of America
## 2882 45-49 Male United States of America
## 2883 35-39 Male Other
## 2884 18-21 Male India
## 2885 30-34 Male India
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## 4471 30-34 Male India
## 4472 40-44 Male United States of America
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## 4474 55-59 Male Italy
## 4475 18-21 Male India
## 4476 40-44 Male United States of America
## 4477 25-29 Male United States of America
## 4478 30-34 Prefer not to say Germany
## 4479 30-34 Male India
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## 4481 25-29 Male Argentina
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## 4490 35-39 Male France
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## 4492 22-24 Female China
## 4493 35-39 Prefer not to say India
## 4494 25-29 Male Italy
## 4495 35-39 Male Portugal
## 4496 18-21 Male India
## 4497 60-69 Male United States of America
## 4498 18-21 Female India
## 4499 22-24 Female Egypt
## 4500 25-29 Male United States of America
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## 4505 18-21 Female India
## 4506 50-54 Male Brazil
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## 4511 22-24 Male India
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## 4514 22-24 Male India
## 4515 45-49 Female Russia
## 4516 60-69 Male United States of America
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## 4519 50-54 Female United Kingdom
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## 4525 25-29 Male Italy
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## 4527 60-69 Male United States of America
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## 4535 18-21 Female India
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## 4548 30-34 Male Chile
## 4549 55-59 Male United States of America
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## 4552 25-29 Male Sweden
## 4553 35-39 Prefer not to say Nigeria
## 4554 30-34 Male Turkey
## 4555 35-39 Female United States of America
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## 4559 35-39 Male United States of America
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## 4610 25-29 Male Taiwan
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## 4612 30-34 Male United States of America
## 4613 55-59 Male Chile
## 4614 30-34 Male Russia
## 4615 55-59 Male Brazil
## 4616 35-39 Male United States of America
## 4617 22-24 Male Kenya
## 4618 25-29 Male Italy
## 4619 40-44 Male Poland
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## 4621 25-29 Male United States of America
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## 4626 35-39 Male France
## 4627 40-44 Female Other
## 4628 55-59 Male Russia
## 4629 22-24 Male China
## 4630 22-24 Female South Korea
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## 4632 35-39 Male United States of America
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## 4716 30-34 Male United States of America
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## 4723 22-24 Female India
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## 4731 22-24 Female Poland
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## 4733 22-24 Male United States of America
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## 4736 18-21 Male India
## 4737 18-21 Male India
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## 4739 30-34 Male Canada
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## 4755 45-49 Male Portugal
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## 4761 40-44 Male United States of America
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## 4764 35-39 Male United States of America
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## 4766 25-29 Male India
## 4767 18-21 Male India
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## 4772 18-21 Male Colombia
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## 4837 40-44 Male United States of America
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## 4923 25-29 Male Other
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## 4927 35-39 Male Chile
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## 4929 30-34 Male Turkey
## 4930 30-34 Male Brazil
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## 4979 50-54 Male United States of America
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## 5183 30-34 Male United States of America
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## 5213 35-39 Male United States of America
## 5214 40-44 Male United States of America
## 5215 55-59 Male Spain
## 5216 30-34 Male United States of America
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## 5218 40-44 Male United States of America
## 5219 35-39 Male United States of America
## 5220 55-59 Male United States of America
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## 5222 70+ Male United States of America
## 5223 35-39 Male United States of America
## 5224 25-29 Prefer not to say Mexico
## 5225 25-29 Male Nigeria
## 5226 50-54 Male United States of America
## 5227 25-29 Male Australia
## 5228 30-34 Male United Kingdom
## 5229 22-24 Male Tunisia
## 5230 30-34 Prefer not to say Canada
## 5231 25-29 Male United States of America
## 5232 22-24 Female China
## 5233 45-49 Female United States of America
## 5234 30-34 Male United States of America
## 5235 25-29 Female Australia
## 5236 25-29 Male United States of America
## 5237 50-54 Male Canada
## 5238 30-34 Male Greece
## 5239 30-34 Male Other
## 5240 25-29 Female United States of America
## 5241 45-49 Male United States of America
## 5242 25-29 Male United States of America
## 5243 30-34 Female United States of America
## 5244 25-29 Male United Kingdom
## 5245 30-34 Female Russia
## 5246 60-69 Female United States of America
## 5247 18-21 Male India
## 5248 18-21 Male Nigeria
## 5249 25-29 Male United States of America
## 5250 25-29 Female Mexico
## 5251 55-59 Male United States of America
## 5252 22-24 Male Morocco
## 5253 30-34 Male India
## 5254 60-69 Male United States of America
## 5255 25-29 Male United States of America
## 5256 25-29 Male Nigeria
## 5257 22-24 Male Iran, Islamic Republic of...
## 5258 50-54 Male United States of America
## 5259 45-49 Female United States of America
## 5260 30-34 Female United States of America
## 5261 18-21 Male United States of America
## 5262 50-54 Male United States of America
## 5263 45-49 Female United States of America
## 5264 35-39 Male Australia
## 5265 40-44 Male Japan
## 5266 40-44 Male Brazil
## 5267 35-39 Male Canada
## 5268 35-39 Male United States of America
## 5269 25-29 Male Hong Kong (S.A.R.)
## 5270 35-39 Male Canada
## 5271 40-44 Male Japan
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## 5273 18-21 Male Nigeria
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## 5276 18-21 Male Nigeria
## 5277 35-39 Male Japan
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## 5279 18-21 Male Nigeria
## 5280 40-44 Male India
## 5281 22-24 Male Russia
## 5282 25-29 Male United States of America
## 5283 40-44 Male Mexico
## 5284 25-29 Male Philippines
## 5285 45-49 Male Other
## 5286 25-29 Male United States of America
## 5287 40-44 Male United States of America
## 5288 45-49 Male Indonesia
## 5289 30-34 Male Republic of Korea
## 5290 35-39 Male United States of America
## 5291 45-49 Male Other
## 5292 30-34 Female India
## 5293 50-54 Male Mexico
## 5294 30-34 Male Republic of Korea
## 5295 45-49 Male United States of America
## 5296 25-29 Male China
## 5297 35-39 Male United States of America
## 5298 30-34 Female Japan
## 5299 45-49 Male Peru
## 5300 30-34 Male Australia
## 5301 25-29 Male Chile
## 5302 35-39 Male Viet Nam
## 5303 35-39 Male United States of America
## 5304 40-44 Male Japan
## 5305 22-24 Male Thailand
## 5306 30-34 Male Israel
## 5307 45-49 Male South Korea
## 5308 18-21 Male China
## 5309 25-29 Male Hong Kong (S.A.R.)
## 5310 30-34 Male Thailand
## 5311 25-29 Male Canada
## 5312 25-29 Male United States of America
## 5313 22-24 Male Viet Nam
## 5314 25-29 Female Viet Nam
## 5315 25-29 Male India
## 5316 30-34 Male United States of America
## 5317 30-34 Female United States of America
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## 5319 18-21 Male India
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## 5321 45-49 Male United States of America
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## 5324 22-24 Male India
## 5325 25-29 Male United States of America
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## 5327 25-29 Male Hong Kong (S.A.R.)
## 5328 22-24 Female India
## 5329 35-39 Prefer not to say United States of America
## 5330 25-29 Male South Korea
## 5331 35-39 Male Taiwan
## 5332 25-29 Male Indonesia
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## 5334 22-24 Male India
## 5335 55-59 Male India
## 5336 18-21 Male Colombia
## 5337 22-24 Female Australia
## 5338 25-29 Male United States of America
## 5339 35-39 Male Republic of Korea
## 5340 45-49 Male Japan
## 5341 25-29 Male South Korea
## 5342 45-49 Male South Korea
## 5343 60-69 Male United States of America
## 5344 35-39 Male Chile
## 5345 22-24 Female India
## 5346 45-49 Male India
## 5347 30-34 Male India
## 5348 45-49 Male Canada
## 5349 18-21 Male India
## 5350 45-49 Female Turkey
## 5351 25-29 Female China
## 5352 22-24 Male Brazil
## 5353 22-24 Male India
## 5354 25-29 Female United States of America
## 5355 25-29 Male Malaysia
## 5356 35-39 Male India
## 5357 40-44 Male United States of America
## 5358 25-29 Male India
## 5359 25-29 Male Turkey
## 5360 22-24 Male Thailand
## 5361 40-44 Male Pakistan
## 5362 25-29 Female United States of America
## 5363 30-34 Male Hong Kong (S.A.R.)
## 5364 22-24 Male India
## 5365 18-21 Female India
## 5366 35-39 Male India
## 5367 30-34 Male United States of America
## 5368 30-34 Female Kenya
## 5369 22-24 Male United States of America
## 5370 35-39 Male United States of America
## 5371 25-29 Male India
## 5372 30-34 Male India
## 5373 18-21 Female India
## 5374 18-21 Female Indonesia
## 5375 25-29 Male India
## 5376 18-21 Male India
## 5377 18-21 Male India
## 5378 18-21 Male India
## 5379 18-21 Male India
## 5380 22-24 Male Nigeria
## 5381 25-29 Male India
## 5382 50-54 Male Spain
## 5383 18-21 Male Taiwan
## 5384 35-39 Male Other
## 5385 55-59 Male United States of America
## 5386 18-21 Male Nigeria
## 5387 30-34 Female India
## 5388 25-29 Male India
## 5389 25-29 Male Colombia
## 5390 35-39 Male Japan
## 5391 45-49 Male France
## 5392 35-39 Male Australia
## 5393 18-21 Male India
## 5394 25-29 Male Germany
## 5395 30-34 Male India
## 5396 25-29 Male India
## 5397 25-29 Male Australia
## 5398 22-24 Male India
## 5399 30-34 Male India
## 5400 22-24 Male Morocco
## 5401 60-69 Male United States of America
## 5402 25-29 Female China
## 5403 25-29 Male Poland
## 5404 22-24 Male Philippines
## 5405 25-29 Male Other
## 5406 45-49 Male India
## 5407 18-21 Male India
## 5408 18-21 Female Russia
## 5409 25-29 Male United States of America
## 5410 40-44 Male South Korea
## 5411 30-34 Male Russia
## 5412 45-49 Male South Korea
## 5413 30-34 Male South Africa
## 5414 25-29 Female Other
## 5415 40-44 Male Russia
## 5416 40-44 Male Sweden
## 5417 22-24 Male India
## 5418 70+ Male Italy
## 5419 35-39 Male China
## 5420 55-59 Female Russia
## 5421 18-21 Male Ukraine
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## 5423 60-69 Male India
## 5424 25-29 Male Pakistan
## 5425 35-39 Male Switzerland
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## 5427 30-34 Male Japan
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## 5430 25-29 Male India
## 5431 25-29 Male India
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## 5435 35-39 Male India
## 5436 25-29 Male Turkey
## 5437 22-24 Female India
## 5438 30-34 Male Taiwan
## 5439 45-49 Male Greece
## 5440 22-24 Prefer to self-describe Other
## 5441 50-54 Male France
## 5442 22-24 Male China
## 5443 22-24 Female India
## 5444 25-29 Male Russia
## 5445 25-29 Male Germany
## 5446 22-24 Male China
## 5447 18-21 Male Australia
## 5448 18-21 Prefer to self-describe Pakistan
## 5449 25-29 Male India
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## 5451 35-39 Male Spain
## 5452 35-39 Male China
## 5453 35-39 Female Greece
## 5454 35-39 Male India
## 5455 25-29 Male Sweden
## 5456 25-29 Female Russia
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## 5458 22-24 Male India
## 5459 22-24 Female India
## 5460 30-34 Male Italy
## 5461 25-29 Male United Kingdom
## 5462 30-34 Male United Kingdom
## 5463 30-34 Female India
## 5464 22-24 Female Bangladesh
## 5465 30-34 Female South Africa
## 5466 18-21 Male Iran, Islamic Republic of...
## 5467 22-24 Female Ukraine
## 5468 22-24 Male South Korea
## 5469 50-54 Male Norway
## 5470 35-39 Male Romania
## 5471 30-34 Male India
## 5472 18-21 Male India
## 5473 25-29 Male Russia
## 5474 40-44 Male South Africa
## 5475 30-34 Male Poland
## 5476 30-34 Male India
## 5477 40-44 Female Spain
## 5478 25-29 Male France
## 5479 30-34 Male France
## 5480 25-29 Male Republic of Korea
## 5481 40-44 Male Taiwan
## 5482 40-44 Male Japan
## 5483 40-44 Male United Kingdom
## 5484 22-24 Male Algeria
## 5485 40-44 Male Other
## 5486 25-29 Male Germany
## 5487 40-44 Female Portugal
## 5488 25-29 Female Canada
## 5489 70+ Male Russia
## 5490 35-39 Female Algeria
## 5491 25-29 Male France
## 5492 22-24 Male Kenya
## 5493 30-34 Male China
## 5494 55-59 Male Egypt
## 5495 25-29 Male Portugal
## 5496 30-34 Male India
## 5497 25-29 Male Indonesia
## 5498 30-34 Male Russia
## 5499 22-24 Male Brazil
## 5500 18-21 Female India
## 5501 30-34 Female Russia
## 5502 25-29 Male India
## 5503 40-44 Male Other
## 5504 30-34 Male India
## 5505 22-24 Female India
## 5506 60-69 Male Japan
## 5507 22-24 Female India
## 5508 30-34 Male Indonesia
## 5509 25-29 Male India
## 5510 30-34 Male Ireland
## 5511 30-34 Male Pakistan
## 5512 45-49 Female Russia
## 5513 18-21 Male India
## 5514 55-59 Male France
## 5515 60-69 Male Other
## 5516 25-29 Male Poland
## 5517 22-24 Male India
## 5518 30-34 Male India
## 5519 25-29 Male United Kingdom
## 5520 50-54 Male India
## 5521 30-34 Female South Korea
## 5522 18-21 Male United States of America
## 5523 35-39 Male Taiwan
## 5524 25-29 Male India
## 5525 25-29 Male India
## 5526 40-44 Male Czech Republic
## 5527 45-49 Male United Kingdom
## 5528 35-39 Male Nigeria
## 5529 22-24 Male India
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## 5531 22-24 Female India
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## 5533 55-59 Male France
## 5534 22-24 Male India
## 5535 35-39 Male Pakistan
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## 5544 30-34 Male India
## 5545 25-29 Male India
## 5546 18-21 Female India
## 5547 25-29 Prefer not to say India
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## 5550 35-39 Male Nigeria
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## 5552 18-21 Male India
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## 5556 22-24 Male China
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## 5561 22-24 Male India
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## 5564 18-21 Male Nigeria
## 5565 35-39 Male Saudi Arabia
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## 5567 25-29 Female Czech Republic
## 5568 40-44 Male United Kingdom
## 5569 40-44 Prefer not to say Thailand
## 5570 25-29 Male Japan
## 5571 25-29 Male South Korea
## 5572 45-49 Male India
## 5573 30-34 Female Australia
## 5574 40-44 Female Germany
## 5575 22-24 Male Other
## 5576 25-29 Male United Kingdom
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## 5578 30-34 Male South Africa
## 5579 22-24 Male Russia
## 5580 25-29 Male Other
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## 5582 35-39 Male Russia
## 5583 25-29 Male Other
## 5584 22-24 Female India
## 5585 50-54 Male Other
## 5586 50-54 Male Belgium
## 5587 35-39 Male Kenya
## 5588 35-39 Male India
## 5589 30-34 Female Israel
## 5590 35-39 Prefer not to say Other
## 5591 30-34 Male United Kingdom
## 5592 18-21 Male India
## 5593 25-29 Male Other
## 5594 25-29 Male India
## 5595 35-39 Male Saudi Arabia
## 5596 35-39 Male Brazil
## 5597 50-54 Male Israel
## 5598 35-39 Male Turkey
## 5599 25-29 Male China
## 5600 50-54 Male Belgium
## 5601 18-21 Male India
## 5602 35-39 Male United Kingdom
## 5603 40-44 Male India
## 5604 30-34 Male United Kingdom
## 5605 22-24 Male India
## 5606 45-49 Male Brazil
## 5607 30-34 Male Russia
## 5608 25-29 Male China
## 5609 25-29 Male Other
## 5610 40-44 Male United Kingdom
## 5611 45-49 Male India
## 5612 18-21 Male India
## 5613 40-44 Male France
## 5614 25-29 Male Italy
## 5615 25-29 Male Japan
## 5616 22-24 Male India
## 5617 22-24 Male South Korea
## 5618 18-21 Male India
## 5619 18-21 Male India
## 5620 35-39 Male Brazil
## 5621 22-24 Male China
## 5622 25-29 Male Nigeria
## 5623 45-49 Male Brazil
## 5624 18-21 Male India
## 5625 35-39 Female Germany
## 5626 25-29 Male Japan
## 5627 25-29 Male Brazil
## 5628 25-29 Male Saudi Arabia
## 5629 30-34 Male Poland
## 5630 25-29 Male United States of America
## 5631 40-44 Male India
## 5632 18-21 Female India
## 5633 35-39 Male India
## 5634 55-59 Male Singapore
## 5635 40-44 Male United States of America
## 5636 22-24 Male Canada
## 5637 25-29 Female Nigeria
## 5638 25-29 Male United States of America
## 5639 35-39 Male India
## 5640 40-44 Male India
## 5641 35-39 Male Greece
## 5642 35-39 Female United States of America
## 5643 18-21 Male India
## 5644 18-21 Male Pakistan
## 5645 25-29 Male India
## 5646 40-44 Male Colombia
## 5647 22-24 Male Viet Nam
## 5648 30-34 Male Iran, Islamic Republic of...
## 5649 25-29 Female United States of America
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## 5651 35-39 Male United States of America
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## 5653 18-21 Male Italy
## 5654 25-29 Male Kenya
## 5655 45-49 Male South Korea
## 5656 30-34 Male United States of America
## 5657 22-24 Male Germany
## 5658 18-21 Male India
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## 5662 25-29 Male India
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## 5664 35-39 Male Mexico
## 5665 30-34 Male South Africa
## 5666 22-24 Male India
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## 5668 35-39 Male United States of America
## 5669 40-44 Male United Kingdom
## 5670 25-29 Male Nigeria
## 5671 35-39 Male Nigeria
## 5672 18-21 Female India
## 5673 22-24 Male India
## 5674 55-59 Male United States of America
## 5675 35-39 Female United States of America
## 5676 30-34 Male Austria
## 5677 18-21 Male India
## 5678 35-39 Male Spain
## 5679 25-29 Female United States of America
## 5680 22-24 Male Iran, Islamic Republic of...
## 5681 30-34 Female United States of America
## 5682 22-24 Male India
## 5683 22-24 Male India
## 5684 50-54 Male United States of America
## 5685 30-34 Male Russia
## 5686 18-21 Male China
## 5687 25-29 Male Canada
## 5688 25-29 Male Japan
## 5689 25-29 Female South Africa
## 5690 25-29 Male Israel
## 5691 30-34 Male Other
## 5692 30-34 Male United States of America
## 5693 18-21 Male Brazil
## 5694 18-21 Male India
## 5695 35-39 Male United Kingdom
## 5696 25-29 Male Brazil
## 5697 25-29 Female Argentina
## 5698 30-34 Male India
## 5699 25-29 Female United States of America
## 5700 25-29 Male Ukraine
## 5701 18-21 Male India
## 5702 30-34 Male India
## 5703 18-21 Male Indonesia
## 5704 40-44 Female India
## 5705 25-29 Male Canada
## 5706 18-21 Male Brazil
## 5707 25-29 Male Brazil
## 5708 40-44 Male Brazil
## 5709 50-54 Male Ireland
## 5710 25-29 Male Brazil
## 5711 35-39 Male United States of America
## 5712 35-39 Male Brazil
## 5713 25-29 Male India
## 5714 45-49 Male United States of America
## 5715 30-34 Male Turkey
## 5716 40-44 Male France
## 5717 25-29 Male Philippines
## 5718 60-69 Male Brazil
## 5719 25-29 Male United States of America
## 5720 22-24 Male Singapore
## 5721 18-21 Male India
## 5722 25-29 Male India
## 5723 45-49 Male Japan
## 5724 35-39 Male Italy
## 5725 30-34 Male Turkey
## 5726 18-21 Male India
## 5727 30-34 Female Other
## 5728 18-21 Male Nigeria
## 5729 35-39 Prefer not to say India
## 5730 30-34 Male India
## 5731 30-34 Female Germany
## 5732 30-34 Male India
## 5733 25-29 Male Germany
## 5734 22-24 Male India
## 5735 60-69 Male Canada
## 5736 25-29 Male Brazil
## 5737 25-29 Male India
## 5738 30-34 Male Hungary
## 5739 30-34 Male United States of America
## 5740 25-29 Male Colombia
## 5741 30-34 Male India
## 5742 18-21 Male India
## 5743 25-29 Male United States of America
## 5744 25-29 Female Nigeria
## 5745 18-21 Female India
## 5746 22-24 Male Canada
## 5747 18-21 Male India
## 5748 18-21 Male India
## 5749 25-29 Male South Africa
## 5750 40-44 Male Brazil
## 5751 40-44 Male Germany
## 5752 30-34 Male China
## 5753 22-24 Male India
## 5754 45-49 Male Italy
## 5755 18-21 Female Philippines
## 5756 25-29 Female Pakistan
## 5757 25-29 Male India
## 5758 35-39 Male United States of America
## 5759 22-24 Male Germany
## 5760 30-34 Male Singapore
## 5761 45-49 Male Canada
## 5762 30-34 Male United States of America
## 5763 25-29 Male Nigeria
## 5764 70+ Male Netherlands
## 5765 25-29 Male India
## 5766 30-34 Male United States of America
## 5767 30-34 Male Spain
## 5768 18-21 Male Nigeria
## 5769 18-21 Male India
## 5770 45-49 Male Brazil
## 5771 25-29 Male Iran, Islamic Republic of...
## 5772 30-34 Male India
## 5773 35-39 Male United Kingdom
## 5774 22-24 Male France
## 5775 25-29 Male Pakistan
## 5776 22-24 Male Other
## 5777 25-29 Male United States of America
## 5778 30-34 Male India
## 5779 18-21 Male India
## 5780 40-44 Male India
## 5781 25-29 Male Netherlands
## 5782 35-39 Male India
## 5783 35-39 Female United States of America
## 5784 30-34 Male Netherlands
## 5785 25-29 Male United States of America
## 5786 35-39 Male Other
## 5787 22-24 Male Turkey
## 5788 35-39 Male Romania
## 5789 50-54 Male Other
## 5790 25-29 Male Portugal
## 5791 55-59 Male Brazil
## 5792 22-24 Male Morocco
## 5793 18-21 Male India
## 5794 25-29 Male India
## 5795 30-34 Male Chile
## 5796 30-34 Female India
## 5797 25-29 Prefer to self-describe United States of America
## 5798 25-29 Male Germany
## 5799 40-44 Male United States of America
## 5800 25-29 Male France
## 5801 30-34 Female Canada
## 5802 22-24 Male Iran, Islamic Republic of...
## 5803 18-21 Male India
## 5804 22-24 Female Tunisia
## 5805 22-24 Male Thailand
## 5806 25-29 Male United States of America
## 5807 25-29 Male Romania
## 5808 45-49 Male Portugal
## 5809 40-44 Male Brazil
## 5810 30-34 Male India
## 5811 25-29 Male India
## 5812 40-44 Female Ireland
## 5813 40-44 Male United States of America
## 5814 30-34 Male India
## 5815 30-34 Male India
## 5816 50-54 Male Argentina
## 5817 22-24 Male India
## 5818 35-39 Male United States of America
## 5819 30-34 Male Australia
## 5820 25-29 Male United States of America
## 5821 35-39 Male Colombia
## 5822 22-24 Male India
## 5823 25-29 Male India
## 5824 25-29 Male India
## 5825 22-24 Male India
## 5826 30-34 Male Ukraine
## 5827 25-29 Male Turkey
## 5828 50-54 Male United States of America
## 5829 50-54 Male Hungary
## 5830 35-39 Male United States of America
## 5831 18-21 Female India
## 5832 25-29 Male Belgium
## 5833 22-24 Male Greece
## 5834 22-24 Male Poland
## 5835 25-29 Male India
## 5836 30-34 Male India
## 5837 40-44 Male Brazil
## 5838 30-34 Male Other
## 5839 30-34 Male Other
## 5840 22-24 Female India
## 5841 45-49 Female Indonesia
## 5842 30-34 Female United States of America
## 5843 55-59 Male United States of America
## 5844 50-54 Male Israel
## 5845 55-59 Male United States of America
## 5846 25-29 Male India
## 5847 40-44 Male United States of America
## 5848 18-21 Male United States of America
## 5849 30-34 Female Brazil
## 5850 18-21 Female United States of America
## 5851 25-29 Male Kenya
## 5852 45-49 Male Brazil
## 5853 30-34 Male India
## 5854 45-49 Male United States of America
## 5855 45-49 Male United States of America
## 5856 18-21 Prefer not to say India
## 5857 35-39 Male Ukraine
## 5858 22-24 Male Other
## 5859 18-21 Male India
## 5860 22-24 Male Pakistan
## 5861 40-44 Male United States of America
## 5862 18-21 Female Indonesia
## 5863 40-44 Male Israel
## 5864 45-49 Male Brazil
## 5865 18-21 Male India
## 5866 40-44 Male Brazil
## 5867 30-34 Male United States of America
## 5868 40-44 Male Poland
## 5869 18-21 Male Other
## 5870 25-29 Male Poland
## 5871 30-34 Male United States of America
## 5872 45-49 Male Italy
## 5873 30-34 Male Greece
## 5874 22-24 Female India
## 5875 45-49 Male Sweden
## 5876 30-34 Male Other
## 5877 55-59 Male Germany
## 5878 35-39 Male United States of America
## 5879 30-34 Female United States of America
## 5880 18-21 Male India
## 5881 35-39 Male Brazil
## 5882 22-24 Male India
## 5883 25-29 Male South Africa
## 5884 22-24 Male United States of America
## 5885 25-29 Female Mexico
## 5886 18-21 Male India
## 5887 50-54 Male United States of America
## 5888 50-54 Male United States of America
## 5889 40-44 Male United States of America
## 5890 40-44 Male Sweden
## 5891 40-44 Male Poland
## 5892 25-29 Male United States of America
## 5893 40-44 Male Brazil
## 5894 30-34 Male United States of America
## 5895 35-39 Female Other
## 5896 22-24 Female India
## 5897 18-21 Male Brazil
## 5898 25-29 Male Spain
## 5899 25-29 Female Brazil
## 5900 30-34 Female United States of America
## 5901 22-24 Male Turkey
## 5902 40-44 Male France
## 5903 55-59 Male United States of America
## 5904 30-34 Male France
## 5905 35-39 Male Other
## 5906 25-29 Male United States of America
## 5907 18-21 Male India
## 5908 25-29 Male Other
## 5909 30-34 Male Nigeria
## 5910 30-34 Male United States of America
## 5911 35-39 Male France
## 5912 30-34 Male Czech Republic
## 5913 25-29 Male United Kingdom
## 5914 40-44 Male Brazil
## 5915 30-34 Female United States of America
## 5916 35-39 Male Canada
## 5917 35-39 Female United States of America
## 5918 35-39 Male Italy
## 5919 30-34 Male United States of America
## 5920 25-29 Male United States of America
## 5921 25-29 Male Brazil
## 5922 30-34 Male Other
## 5923 30-34 Male United States of America
## 5924 35-39 Female United States of America
## 5925 50-54 Male Spain
## 5926 22-24 Male India
## 5927 35-39 Male United States of America
## 5928 22-24 Male Egypt
## 5929 60-69 Male Australia
## 5930 25-29 Male United States of America
## 5931 40-44 Male United States of America
## 5932 50-54 Male Chile
## 5933 30-34 Male Italy
## 5934 30-34 Male United States of America
## 5935 25-29 Male United States of America
## 5936 22-24 Male United States of America
## 5937 30-34 Male United States of America
## 5938 30-34 Male Canada
## 5939 18-21 Male India
## 5940 50-54 Male France
## 5941 25-29 Male United States of America
## 5942 22-24 Male Spain
## 5943 25-29 Male Nigeria
## 5944 35-39 Male Australia
## 5945 25-29 Male Chile
## 5946 30-34 Male India
## 5947 25-29 Female United States of America
## 5948 30-34 Female United States of America
## 5949 22-24 Male India
## 5950 40-44 Prefer not to say Ireland
## 5951 60-69 Male Iran, Islamic Republic of...
## 5952 35-39 Female Peru
## 5953 35-39 Male United States of America
## 5954 30-34 Male Australia
## 5955 40-44 Male United States of America
## 5956 25-29 Female South Africa
## 5957 45-49 Male Italy
## 5958 40-44 Male Japan
## 5959 35-39 Male Taiwan
## 5960 25-29 Male Canada
## 5961 55-59 Female United States of America
## 5962 55-59 Male New Zealand
## 5963 25-29 Male Turkey
## 5964 45-49 Female United States of America
## 5965 18-21 Male Brazil
## 5966 45-49 Male United States of America
## 5967 40-44 Male Malaysia
## 5968 30-34 Male Colombia
## 5969 35-39 Female Mexico
## 5970 25-29 Female India
## 5971 30-34 Male United States of America
## 5972 35-39 Male United States of America
## 5973 22-24 Male United States of America
## 5974 30-34 Male Thailand
## 5975 25-29 Male Viet Nam
## 5976 30-34 Male United States of America
## 5977 45-49 Male Other
## 5978 25-29 Male United States of America
## 5979 25-29 Male Brazil
## 5980 25-29 Male United States of America
## 5981 22-24 Female Colombia
## 5982 25-29 Male United States of America
## 5983 35-39 Male Japan
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## 5985 55-59 Male United States of America
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## 5989 30-34 Male China
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## 5995 30-34 Male India
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## 5997 30-34 Male United States of America
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## 6000 35-39 Female United States of America
## 6001 22-24 Prefer not to say China
## 6002 30-34 Male Brazil
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## 6036 35-39 Male Czech Republic
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## 6041 18-21 Male India
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## 6059 22-24 Female Poland
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## 6121 22-24 Female India
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## 6127 35-39 Male Hong Kong (S.A.R.)
## 6128 40-44 Male United States of America
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## 6132 22-24 Male Kenya
## 6133 25-29 Male Morocco
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## 6136 22-24 Female India
## 6137 45-49 Male United States of America
## 6138 35-39 Male Brazil
## 6139 30-34 Male Brazil
## 6140 30-34 Male Italy
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## 6142 50-54 Prefer not to say India
## 6143 25-29 Male Austria
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## 6145 22-24 Male India
## 6146 22-24 Female Other
## 6147 45-49 Male United Kingdom
## 6148 55-59 Male Japan
## 6149 18-21 Male India
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## 6154 45-49 Male Argentina
## 6155 30-34 Male Hong Kong (S.A.R.)
## 6156 30-34 Male United States of America
## 6157 30-34 Male United States of America
## 6158 18-21 Male Brazil
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## 6160 30-34 Male United States of America
## 6161 25-29 Male China
## 6162 22-24 Male India
## 6163 18-21 Male Spain
## 6164 60-69 Male United States of America
## 6165 25-29 Male Brazil
## 6166 25-29 Male Chile
## 6167 40-44 Male India
## 6168 22-24 Male United States of America
## 6169 18-21 Female Taiwan
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## 6171 35-39 Male India
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## 6173 25-29 Male United Kingdom
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## 6179 22-24 Female India
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## 6181 25-29 Female Netherlands
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## 6185 30-34 Male India
## 6186 45-49 Male United States of America
## 6187 30-34 Male Poland
## 6188 25-29 Male Brazil
## 6189 22-24 Male India
## 6190 40-44 Male Russia
## 6191 45-49 Male United States of America
## 6192 25-29 Male United States of America
## 6193 30-34 Male Mexico
## 6194 30-34 Male India
## 6195 30-34 Male Canada
## 6196 22-24 Female United States of America
## 6197 35-39 Male Netherlands
## 6198 35-39 Male Brazil
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## 6203 18-21 Male United Kingdom
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## 6211 40-44 Female Portugal
## 6212 40-44 Male United States of America
## 6213 25-29 Male China
## 6214 60-69 Male Canada
## 6215 22-24 Male India
## 6216 30-34 Male Canada
## 6217 35-39 Male United States of America
## 6218 25-29 Female India
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## 6220 35-39 Male India
## 6221 25-29 Male Netherlands
## 6222 30-34 Male Germany
## 6223 30-34 Male Brazil
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## 6227 30-34 Female United States of America
## 6228 18-21 Male India
## 6229 25-29 Male Mexico
## 6230 25-29 Male Nigeria
## 6231 18-21 Prefer not to say India
## 6232 30-34 Male Colombia
## 6233 30-34 Female United States of America
## 6234 25-29 Male United States of America
## 6235 40-44 Male Philippines
## 6236 35-39 Male Hungary
## 6237 40-44 Male India
## 6238 60-69 Male Japan
## 6239 22-24 Male Pakistan
## 6240 35-39 Male India
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## 6242 60-69 Male Netherlands
## 6243 30-34 Male Greece
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## 6246 30-34 Male Japan
## 6247 22-24 Male United States of America
## 6248 30-34 Male Germany
## 6249 55-59 Male United States of America
## 6250 30-34 Male Mexico
## 6251 35-39 Male Netherlands
## 6252 18-21 Male India
## 6253 30-34 Female Japan
## 6254 22-24 Male Indonesia
## 6255 22-24 Male Other
## 6256 40-44 Male Colombia
## 6257 40-44 Male Mexico
## 6258 22-24 Male United States of America
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## 6260 25-29 Female United States of America
## 6261 30-34 Male Poland
## 6262 35-39 Male Germany
## 6263 35-39 Male Germany
## 6264 25-29 Male Philippines
## 6265 30-34 Male United States of America
## 6266 25-29 Male Poland
## 6267 35-39 Male United States of America
## 6268 30-34 Female Germany
## 6269 22-24 Male Other
## 6270 25-29 Prefer not to say Denmark
## 6271 25-29 Male United States of America
## 6272 18-21 Male United States of America
## 6273 40-44 Male United States of America
## 6274 40-44 Male United States of America
## 6275 60-69 Male Peru
## 6276 22-24 Male United States of America
## 6277 22-24 Male United States of America
## 6278 30-34 Male United States of America
## 6279 25-29 Male Russia
## 6280 22-24 Male Viet Nam
## 6281 60-69 Female Canada
## 6282 25-29 Male Philippines
## 6283 25-29 Male United States of America
## 6284 30-34 Male India
## 6285 18-21 Male Nigeria
## 6286 25-29 Male United States of America
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## 6290 22-24 Male India
## 6291 22-24 Male India
## 6292 55-59 Male United States of America
## 6293 55-59 Male Canada
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## 6295 18-21 Male India
## 6296 35-39 Female United States of America
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## 6298 35-39 Male United States of America
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## 6345 35-39 Male United States of America
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## 6389 25-29 Male Germany
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## 6391 30-34 Female Canada
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## 6394 30-34 Prefer not to say India
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## 6396 50-54 Male United States of America
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## 6402 50-54 Male United States of America
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## 6413 25-29 Male Czech Republic
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## 6497 22-24 Male United States of America
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## 6501 25-29 Male United States of America
## 6502 25-29 Male Taiwan
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## 6504 25-29 Male United States of America
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## 6605 22-24 Female United States of America
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## 6617 25-29 Male Brazil
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## 6624 25-29 Male India
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## 6626 22-24 Male United States of America
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## 6631 40-44 Male United Kingdom
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## 6634 55-59 Male Peru
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## 6653 30-34 Male Chile
## 6654 30-34 Female United States of America
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## 6657 22-24 Male Japan
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## 6663 25-29 Prefer not to say China
## 6664 35-39 Male India
## 6665 22-24 Male Other
## 6666 30-34 Male United States of America
## 6667 18-21 Male India
## 6668 22-24 Male India
## 6669 40-44 Male Hungary
## 6670 25-29 Female India
## 6671 25-29 Male Chile
## 6672 25-29 Male United States of America
## 6673 22-24 Male India
## 6674 22-24 Male China
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## 6677 18-21 Male India
## 6678 25-29 Male Japan
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## 6687 35-39 Male France
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## 6689 25-29 Female United Kingdom
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## 6691 35-39 Female India
## 6692 30-34 Male United States of America
## 6693 25-29 Male Japan
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## 6695 40-44 Male India
## 6696 30-34 Male United States of America
## 6697 30-34 Male India
## 6698 35-39 Male India
## 6699 22-24 Male Brazil
## 6700 30-34 Male United States of America
## 6701 30-34 Male India
## 6702 18-21 Male India
## 6703 22-24 Male India
## 6704 35-39 Male Switzerland
## 6705 22-24 Male United States of America
## 6706 50-54 Male United Kingdom
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## 6708 18-21 Male Brazil
## 6709 35-39 Male Russia
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## 6711 40-44 Male Taiwan
## 6712 22-24 Male India
## 6713 25-29 Female Nigeria
## 6714 35-39 Male India
## 6715 30-34 Male Mexico
## 6716 60-69 Male United States of America
## 6717 30-34 Male United States of America
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## 6721 50-54 Male Taiwan
## 6722 35-39 Female United States of America
## 6723 35-39 Male Germany
## 6724 50-54 Female Russia
## 6725 40-44 Male India
## 6726 25-29 Male Brazil
## 6727 55-59 Male Sweden
## 6728 30-34 Female United States of America
## 6729 22-24 Male United States of America
## 6730 18-21 Male India
## 6731 45-49 Male Argentina
## 6732 25-29 Male United Kingdom
## 6733 18-21 Male India
## 6734 35-39 Male Russia
## 6735 60-69 Male United States of America
## 6736 55-59 Male Other
## 6737 30-34 Male Italy
## 6738 18-21 Male Bangladesh
## 6739 22-24 Male Brazil
## 6740 35-39 Male Japan
## 6741 25-29 Male Brazil
## 6742 50-54 Male United States of America
## 6743 30-34 Female United States of America
## 6744 25-29 Male United States of America
## 6745 35-39 Male United States of America
## 6746 25-29 Male Hungary
## 6747 35-39 Male United States of America
## 6748 35-39 Male Brazil
## 6749 35-39 Female Brazil
## 6750 45-49 Male Greece
## 6751 35-39 Male Russia
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## 6754 25-29 Male India
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## 6863 40-44 Male United States of America
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## 7051 25-29 Male United States of America
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## 7136 40-44 Male United Kingdom
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## 7182 40-44 Male India
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## 7319 35-39 Female United States of America
## 7320 18-21 Male China
## 7321 40-44 Male Mexico
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## 7324 25-29 Male India
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## 7326 40-44 Female Italy
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## 7342 18-21 Male India
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## 7388 25-29 Male India
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## 7390 40-44 Male Italy
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## 7467 30-34 Male United States of America
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## 7469 45-49 Male United States of America
## 7470 22-24 Male United States of America
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## 7487 22-24 Male India
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## 7491 30-34 Male India
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## 7512 25-29 Female Other
## 7513 22-24 Male India
## 7514 45-49 Female United States of America
## 7515 30-34 Male United States of America
## 7516 22-24 Male India
## 7517 30-34 Male Poland
## 7518 25-29 Male Mexico
## 7519 35-39 Male India
## 7520 25-29 Male United States of America
## 7521 18-21 Male United States of America
## 7522 22-24 Female Nigeria
## 7523 35-39 Male Germany
## 7524 35-39 Male South Africa
## 7525 35-39 Prefer not to say Germany
## 7526 25-29 Female United States of America
## 7527 35-39 Female United States of America
## 7528 30-34 Female United States of America
## 7529 35-39 Male United States of America
## 7530 30-34 Male India
## 7531 22-24 Male India
## 7532 30-34 Male Russia
## 7533 22-24 Male India
## 7534 25-29 Male India
## 7535 30-34 Male Japan
## 7536 30-34 Male South Korea
## 7537 40-44 Male Mexico
## 7538 30-34 Male Brazil
## 7539 22-24 Female India
## 7540 25-29 Male South Africa
## 7541 60-69 Male United States of America
## 7542 18-21 Male India
## 7543 25-29 Female United States of America
## 7544 25-29 Male Germany
## 7545 40-44 Male Russia
## 7546 60-69 Prefer to self-describe Other
## 7547 55-59 Male United States of America
## 7548 25-29 Male United States of America
## 7549 45-49 Male United States of America
## 7550 22-24 Male India
## 7551 25-29 Female Other
## 7552 35-39 Female Spain
## 7553 55-59 Male United States of America
## 7554 22-24 Male India
## 7555 25-29 Male France
## 7556 22-24 Male United States of America
## 7557 22-24 Male India
## 7558 60-69 Male United States of America
## 7559 18-21 Male India
## 7560 40-44 Male Nigeria
## 7561 35-39 Male Other
## 7562 35-39 Male Germany
## 7563 55-59 Male United States of America
## 7564 25-29 Male India
## 7565 18-21 Male Brazil
## 7566 25-29 Male Germany
## 7567 25-29 Male Colombia
## 7568 30-34 Male India
## 7569 30-34 Male United States of America
## 7570 18-21 Male India
## 7571 30-34 Female United States of America
## 7572 22-24 Male Nigeria
## 7573 35-39 Male Russia
## 7574 55-59 Male United States of America
## 7575 25-29 Male Greece
## 7576 35-39 Male France
## 7577 25-29 Male India
## 7578 25-29 Male United States of America
## 7579 45-49 Male Norway
## 7580 22-24 Male India
## 7581 35-39 Female South Africa
## 7582 22-24 Male Pakistan
## 7583 25-29 Female Germany
## 7584 22-24 Male India
## 7585 18-21 Female India
## 7586 40-44 Female Poland
## 7587 55-59 Male United States of America
## 7588 40-44 Female Brazil
## 7589 25-29 Male United States of America
## 7590 22-24 Male India
## 7591 18-21 Male India
## 7592 18-21 Female Turkey
## 7593 18-21 Male India
## 7594 18-21 Male Pakistan
## 7595 25-29 Male Taiwan
## 7596 40-44 Male Germany
## 7597 40-44 Female United States of America
## 7598 30-34 Female Mexico
## 7599 35-39 Prefer not to say United States of America
## 7600 30-34 Male France
## 7601 25-29 Male Brazil
## 7602 55-59 Male Mexico
## 7603 18-21 Male India
## 7604 22-24 Male Brazil
## 7605 50-54 Male New Zealand
## 7606 35-39 Male Colombia
## 7607 50-54 Male United States of America
## 7608 18-21 Male India
## 7609 35-39 Male Colombia
## 7610 30-34 Male Canada
## 7611 30-34 Male New Zealand
## 7612 60-69 Male United States of America
## 7613 30-34 Male Chile
## 7614 22-24 Male India
## 7615 22-24 Male Bangladesh
## 7616 30-34 Male Spain
## 7617 45-49 Male Spain
## 7618 18-21 Male Mexico
## 7619 40-44 Prefer not to say United States of America
## 7620 30-34 Prefer not to say United Kingdom
## 7621 18-21 Male India
## 7622 22-24 Male India
## 7623 55-59 Male United States of America
## 7624 22-24 Male India
## 7625 30-34 Male Other
## 7626 25-29 Male United Kingdom
## 7627 25-29 Male Other
## 7628 35-39 Male United Kingdom
## 7629 40-44 Male Italy
## 7630 35-39 Female Portugal
## 7631 60-69 Male United States of America
## 7632 35-39 Male Spain
## 7633 25-29 Male Germany
## 7634 22-24 Male India
## 7635 25-29 Male India
## 7636 22-24 Male Other
## 7637 45-49 Male United States of America
## 7638 40-44 Prefer not to say United States of America
## 7639 35-39 Male United States of America
## 7640 35-39 Female Canada
## 7641 40-44 Male Brazil
## 7642 25-29 Male India
## 7643 25-29 Male India
## 7644 22-24 Male India
## 7645 30-34 Male Russia
## 7646 30-34 Female Poland
## 7647 35-39 Male United States of America
## 7648 18-21 Male Ukraine
## 7649 22-24 Male India
## 7650 25-29 Male India
## 7651 22-24 Male India
## 7652 45-49 Male United States of America
## 7653 30-34 Male Mexico
## 7654 18-21 Male India
## 7655 55-59 Male United States of America
## 7656 25-29 Female Brazil
## 7657 30-34 Male Russia
## 7658 25-29 Female Nigeria
## 7659 25-29 Male China
## 7660 30-34 Male Brazil
## 7661 50-54 Male Spain
## 7662 35-39 Male Hungary
## 7663 25-29 Male United States of America
## 7664 18-21 Male Colombia
## 7665 40-44 Male United States of America
## 7666 25-29 Male India
## 7667 25-29 Female Peru
## 7668 50-54 Male Brazil
## 7669 22-24 Male India
## 7670 25-29 Male Taiwan
## 7671 22-24 Male United States of America
## 7672 25-29 Male Brazil
## 7673 18-21 Male Ukraine
## 7674 45-49 Male United Kingdom
## 7675 60-69 Male Canada
## 7676 35-39 Male Other
## 7677 25-29 Male India
## 7678 18-21 Male Russia
## 7679 22-24 Male Denmark
## 7680 22-24 Male Kenya
## 7681 25-29 Male India
## 7682 45-49 Female Canada
## 7683 45-49 Male Egypt
## 7684 45-49 Male Other
## 7685 30-34 Male Turkey
## 7686 22-24 Male India
## 7687 25-29 Male India
## 7688 18-21 Male Belarus
## 7689 22-24 Male Romania
## 7690 18-21 Male United States of America
## 7691 30-34 Female Chile
## 7692 18-21 Male Russia
## 7693 25-29 Male Spain
## 7694 25-29 Male United States of America
## 7695 18-21 Male India
## 7696 30-34 Male United States of America
## 7697 22-24 Male India
## 7698 30-34 Male Ukraine
## 7699 30-34 Female India
## 7700 50-54 Male United States of America
## 7701 55-59 Male Portugal
## 7702 30-34 Male France
## 7703 22-24 Male Germany
## 7704 25-29 Female Brazil
## 7705 22-24 Male India
## 7706 25-29 Male United States of America
## 7707 18-21 Male Brazil
## 7708 25-29 Male Other
## 7709 22-24 Male Romania
## 7710 25-29 Male Egypt
## 7711 45-49 Male Poland
## 7712 30-34 Male Mexico
## 7713 22-24 Male Brazil
## 7714 18-21 Male India
## 7715 22-24 Male France
## 7716 35-39 Male United States of America
## 7717 45-49 Male Japan
## 7718 35-39 Female Other
## 7719 25-29 Male India
## 7720 55-59 Male Taiwan
## 7721 25-29 Male Canada
## 7722 25-29 Male Chile
## 7723 50-54 Male Spain
## 7724 30-34 Male Chile
## 7725 35-39 Male Brazil
## 7726 22-24 Male Mexico
## 7727 25-29 Male Canada
## 7728 30-34 Male Brazil
## 7729 35-39 Male United States of America
## 7730 30-34 Female United States of America
## 7731 30-34 Male United States of America
## 7732 55-59 Male United States of America
## 7733 25-29 Female India
## 7734 25-29 Male Colombia
## 7735 30-34 Female South Africa
## 7736 22-24 Male India
## 7737 45-49 Male United States of America
## 7738 35-39 Male United States of America
## 7739 35-39 Male Brazil
## 7740 22-24 Male India
## 7741 22-24 Male India
## 7742 22-24 Male India
## 7743 30-34 Male Brazil
## 7744 45-49 Male United States of America
## 7745 25-29 Male India
## 7746 22-24 Female India
## 7747 50-54 Male United States of America
## 7748 45-49 Male Turkey
## 7749 45-49 Male Other
## 7750 35-39 Male Brazil
## 7751 45-49 Male Spain
## 7752 40-44 Male Other
## 7753 45-49 Male United States of America
## 7754 22-24 Male Pakistan
## 7755 45-49 Male Spain
## 7756 40-44 Female Other
## 7757 25-29 Male Hong Kong (S.A.R.)
## 7758 22-24 Male France
## 7759 35-39 Male Netherlands
## 7760 30-34 Female Brazil
## 7761 22-24 Male India
## 7762 30-34 Male United States of America
## 7763 30-34 Male Chile
## 7764 22-24 Male India
## 7765 18-21 Male Other
## 7766 30-34 Male United States of America
## 7767 22-24 Male Belgium
## 7768 35-39 Female India
## 7769 22-24 Male Chile
## 7770 35-39 Male Poland
## 7771 18-21 Male India
## 7772 30-34 Female United States of America
## 7773 25-29 Male India
## 7774 35-39 Male Saudi Arabia
## 7775 50-54 Male Canada
## 7776 40-44 Male United States of America
## 7777 18-21 Male India
## 7778 18-21 Male India
## 7779 30-34 Male India
## 7780 25-29 Female Nigeria
## 7781 40-44 Female Saudi Arabia
## 7782 60-69 Male Malaysia
## 7783 25-29 Male Iran, Islamic Republic of...
## 7784 45-49 Male United States of America
## 7785 18-21 Male India
## 7786 40-44 Male Colombia
## 7787 25-29 Male India
## 7788 40-44 Male Chile
## 7789 22-24 Male Brazil
## 7790 25-29 Male South Africa
## 7791 30-34 Male Belgium
## 7792 45-49 Male Brazil
## 7793 50-54 Male Brazil
## 7794 25-29 Male Germany
## 7795 35-39 Male Canada
## 7796 30-34 Male Brazil
## 7797 30-34 Male Other
## 7798 25-29 Male India
## 7799 35-39 Male India
## 7800 22-24 Female India
## 7801 30-34 Male Canada
## 7802 22-24 Female United States of America
## 7803 25-29 Male Germany
## 7804 22-24 Male India
## 7805 30-34 Female Austria
## 7806 22-24 Male Brazil
## 7807 18-21 Female India
## 7808 22-24 Male India
## 7809 35-39 Male Japan
## 7810 25-29 Female United States of America
## 7811 22-24 Male India
## 7812 60-69 Male United States of America
## 7813 45-49 Male France
## 7814 22-24 Male India
## 7815 25-29 Male United States of America
## 7816 35-39 Female Brazil
## 7817 30-34 Male Colombia
## 7818 18-21 Male India
## 7819 22-24 Male India
## 7820 25-29 Female United Kingdom
## 7821 22-24 Male Mexico
## 7822 30-34 Male Iran, Islamic Republic of...
## 7823 25-29 Male Kenya
## 7824 25-29 Female United States of America
## 7825 30-34 Male India
## 7826 18-21 Male Other
## 7827 50-54 Male Italy
## 7828 50-54 Male Portugal
## 7829 30-34 Male United Kingdom
## 7830 18-21 Male United States of America
## 7831 35-39 Male United States of America
## 7832 22-24 Male Russia
## 7833 18-21 Male India
## 7834 25-29 Male Argentina
## 7835 50-54 Male Poland
## 7836 18-21 Female India
## 7837 25-29 Male Russia
## 7838 25-29 Male Germany
## 7839 30-34 Male Israel
## 7840 30-34 Male Portugal
## 7841 22-24 Male Pakistan
## 7842 35-39 Male Spain
## 7843 30-34 Male Iran, Islamic Republic of...
## 7844 35-39 Female Japan
## 7845 22-24 Female Indonesia
## 7846 30-34 Male United Kingdom
## 7847 22-24 Male Other
## 7848 25-29 Male Spain
## 7849 22-24 Female India
## 7850 35-39 Male United States of America
## 7851 50-54 Male United States of America
## 7852 22-24 Male India
## 7853 45-49 Male Canada
## 7854 35-39 Male Brazil
## 7855 35-39 Male South Africa
## 7856 45-49 Male Chile
## 7857 55-59 Male New Zealand
## 7858 40-44 Male France
## 7859 55-59 Male United States of America
## 7860 25-29 Male Brazil
## 7861 30-34 Male Russia
## 7862 35-39 Male United States of America
## 7863 40-44 Male Brazil
## 7864 50-54 Male Mexico
## 7865 18-21 Male India
## 7866 45-49 Male Other
## 7867 22-24 Male India
## 7868 40-44 Male United States of America
## 7869 30-34 Male Indonesia
## 7870 50-54 Male United Kingdom
## 7871 35-39 Male India
## 7872 22-24 Male India
## 7873 35-39 Male United States of America
## 7874 40-44 Male Italy
## 7875 45-49 Male United States of America
## 7876 22-24 Female United Kingdom
## 7877 45-49 Male Other
## 7878 22-24 Male Mexico
## 7879 22-24 Male Poland
## 7880 40-44 Male Other
## 7881 25-29 Female Other
## 7882 30-34 Male United States of America
## 7883 35-39 Male Other
## 7884 25-29 Male Other
## 7885 25-29 Female Canada
## 7886 50-54 Male India
## 7887 35-39 Male United States of America
## 7888 18-21 Female India
## 7889 35-39 Male Brazil
## 7890 25-29 Male Russia
## 7891 35-39 Male India
## 7892 60-69 Male United States of America
## 7893 35-39 Male Germany
## 7894 18-21 Male India
## 7895 55-59 Male United States of America
## 7896 18-21 Female France
## 7897 25-29 Male Belarus
## 7898 40-44 Male Russia
## 7899 22-24 Male Netherlands
## 7900 35-39 Male Turkey
## 7901 30-34 Male United States of America
## 7902 35-39 Male Spain
## 7903 18-21 Male United States of America
## 7904 30-34 Male United States of America
## 7905 50-54 Male United States of America
## 7906 35-39 Male India
## 7907 40-44 Male Other
## 7908 22-24 Female India
## 7909 30-34 Male Spain
## 7910 22-24 Male Ukraine
## 7911 25-29 Male United States of America
## 7912 30-34 Male Colombia
## 7913 18-21 Male Other
## 7914 25-29 Male India
## 7915 30-34 Male Germany
## 7916 22-24 Male United States of America
## 7917 25-29 Male United States of America
## 7918 35-39 Male Spain
## 7919 22-24 Male India
## 7920 22-24 Male India
## 7921 30-34 Male Belgium
## 7922 50-54 Male United States of America
## 7923 35-39 Female United States of America
## 7924 30-34 Male India
## 7925 40-44 Male Chile
## 7926 50-54 Male United States of America
## 7927 40-44 Male Canada
## 7928 25-29 Male Other
## 7929 50-54 Male Mexico
## 7930 45-49 Male Spain
## 7931 25-29 Male Other
## 7932 35-39 Male India
## 7933 40-44 Male Russia
## 7934 25-29 Male United States of America
## 7935 18-21 Male India
## 7936 35-39 Male Portugal
## 7937 35-39 Male Germany
## 7938 40-44 Male Russia
## 7939 55-59 Male United States of America
## 7940 30-34 Female Canada
## 7941 30-34 Male Nigeria
## 7942 30-34 Male Germany
## 7943 18-21 Male Turkey
## 7944 40-44 Male Poland
## 7945 22-24 Female Russia
## 7946 50-54 Male Russia
## 7947 30-34 Male Australia
## 7948 60-69 Male Netherlands
## 7949 40-44 Male Brazil
## 7950 60-69 Male United States of America
## 7951 35-39 Male United States of America
## 7952 35-39 Male United States of America
## 7953 45-49 Prefer to self-describe Poland
## 7954 25-29 Male Canada
## 7955 25-29 Male United States of America
## 7956 22-24 Male Other
## 7957 30-34 Male Switzerland
## 7958 22-24 Male Bangladesh
## 7959 25-29 Male Bangladesh
## 7960 45-49 Male New Zealand
## 7961 25-29 Female Turkey
## 7962 35-39 Male Israel
## 7963 22-24 Male Morocco
## 7964 30-34 Male Brazil
## 7965 70+ Female Other
## 7966 30-34 Male United States of America
## 7967 35-39 Male Australia
## 7968 25-29 Male Norway
## 7969 35-39 Male Israel
## 7970 35-39 Male Ukraine
## 7971 60-69 Male Sweden
## 7972 30-34 Male Brazil
## 7973 40-44 Male United States of America
## 7974 25-29 Male France
## 7975 25-29 Male Austria
## 7976 25-29 Male Brazil
## 7977 50-54 Male Israel
## 7978 50-54 Male Portugal
## 7979 35-39 Female India
## 7980 40-44 Male Other
## 7981 25-29 Male India
## 7982 22-24 Prefer not to say France
## 7983 25-29 Male United States of America
## 7984 35-39 Male Netherlands
## 7985 22-24 Female United States of America
## 7986 18-21 Male United States of America
## 7987 45-49 Male United States of America
## 7988 18-21 Female Morocco
## 7989 35-39 Female Germany
## 7990 30-34 Female Greece
## 7991 30-34 Female United States of America
## 7992 18-21 Male United States of America
## 7993 25-29 Male Portugal
## 7994 18-21 Male India
## 7995 30-34 Male United States of America
## 7996 25-29 Female United States of America
## 7997 35-39 Male Spain
## 7998 30-34 Male France
## 7999 30-34 Male Spain
## 8000 30-34 Male Israel
## 8001 35-39 Male Brazil
## 8002 60-69 Male Russia
## 8003 50-54 Male United Kingdom
## 8004 22-24 Male Brazil
## 8005 35-39 Male Colombia
## 8006 30-34 Male United States of America
## 8007 35-39 Male United States of America
## 8008 45-49 Male Other
## 8009 45-49 Male Japan
## 8010 18-21 Male United States of America
## 8011 30-34 Male Russia
## 8012 35-39 Male United States of America
## 8013 22-24 Male India
## 8014 22-24 Male United States of America
## 8015 30-34 Male South Africa
## 8016 35-39 Male China
## 8017 30-34 Male United Kingdom
## 8018 35-39 Male Brazil
## 8019 50-54 Male United States of America
## 8020 22-24 Female Other
## 8021 25-29 Prefer not to say South Africa
## 8022 35-39 Male United Kingdom
## 8023 22-24 Male India
## 8024 40-44 Male United States of America
## 8025 40-44 Male Japan
## 8026 40-44 Male Indonesia
## 8027 25-29 Male Sweden
## 8028 22-24 Male Poland
## 8029 18-21 Male India
## 8030 30-34 Male India
## 8031 35-39 Male Russia
## 8032 25-29 Female Other
## 8033 60-69 Male Mexico
## 8034 40-44 Male Argentina
## 8035 45-49 Male Belarus
## 8036 30-34 Male Brazil
## 8037 30-34 Male Spain
## 8038 22-24 Male United States of America
## 8039 50-54 Male Kenya
## 8040 22-24 Female Ireland
## 8041 22-24 Male Russia
## 8042 25-29 Female United States of America
## 8043 30-34 Male Nigeria
## 8044 40-44 Male Iran, Islamic Republic of...
## 8045 18-21 Male India
## 8046 22-24 Male India
## 8047 30-34 Male France
## 8048 25-29 Female United States of America
## 8049 30-34 Male Other
## 8050 50-54 Male United States of America
## 8051 30-34 Male Chile
## 8052 50-54 Male Other
## 8053 25-29 Male United States of America
## 8054 40-44 Male South Africa
## 8055 25-29 Male Peru
## 8056 22-24 Male Pakistan
## 8057 25-29 Female Ukraine
## 8058 40-44 Male Other
## 8059 30-34 Male United States of America
## 8060 25-29 Female Netherlands
## 8061 18-21 Male India
## 8062 55-59 Male United States of America
## 8063 40-44 Male South Africa
## 8064 35-39 Male United Kingdom
## 8065 30-34 Male Brazil
## 8066 55-59 Male United States of America
## 8067 30-34 Female New Zealand
## 8068 30-34 Male China
## 8069 40-44 Male Other
## 8070 22-24 Male Japan
## 8071 18-21 Male France
## 8072 25-29 Male Germany
## 8073 35-39 Male Denmark
## 8074 30-34 Male United States of America
## 8075 25-29 Male United States of America
## 8076 22-24 Male India
## 8077 18-21 Female India
## 8078 30-34 Female United States of America
## 8079 35-39 Male India
## 8080 18-21 Male Nigeria
## 8081 25-29 Male Nigeria
## 8082 55-59 Male Canada
## 8083 25-29 Female United States of America
## 8084 18-21 Male Other
## 8085 35-39 Male Sweden
## 8086 35-39 Female United States of America
## 8087 30-34 Male Other
## 8088 25-29 Male United States of America
## 8089 30-34 Male Denmark
## 8090 30-34 Male Mexico
## 8091 25-29 Female France
## 8092 60-69 Male United States of America
## 8093 18-21 Male Kenya
## 8094 30-34 Female Germany
## 8095 35-39 Male Morocco
## 8096 30-34 Male Colombia
## 8097 25-29 Male India
## 8098 25-29 Male India
## 8099 45-49 Male Pakistan
## 8100 25-29 Male Switzerland
## 8101 55-59 Male Japan
## 8102 30-34 Male United States of America
## 8103 30-34 Male Norway
## 8104 35-39 Male Germany
## 8105 35-39 Male Other
## 8106 35-39 Male Other
## 8107 40-44 Male Sweden
## 8108 25-29 Male United States of America
## 8109 35-39 Male United States of America
## 8110 25-29 Male India
## 8111 30-34 Female United States of America
## 8112 45-49 Male Singapore
## 8113 25-29 Male United States of America
## 8114 60-69 Male Belgium
## 8115 50-54 Male United States of America
## 8116 25-29 Male India
## 8117 35-39 Male Spain
## 8118 45-49 Male United Kingdom
## 8119 22-24 Male Canada
## 8120 22-24 Male India
## 8121 25-29 Female United States of America
## 8122 25-29 Male Germany
## 8123 25-29 Male United States of America
## 8124 25-29 Male India
## 8125 30-34 Male Peru
## 8126 35-39 Male United Kingdom
## 8127 35-39 Male India
## 8128 25-29 Prefer not to say Canada
## 8129 30-34 Prefer to self-describe Russia
## 8130 25-29 Male Pakistan
## 8131 30-34 Male United States of America
## 8132 50-54 Male Israel
## 8133 60-69 Male United States of America
## 8134 22-24 Male China
## 8135 30-34 Male Nigeria
## 8136 25-29 Male United States of America
## 8137 25-29 Male Germany
## 8138 35-39 Male Algeria
## 8139 30-34 Male United States of America
## 8140 55-59 Male Mexico
## 8141 30-34 Male United States of America
## 8142 30-34 Female United States of America
## 8143 25-29 Male Germany
## 8144 30-34 Male Morocco
## 8145 45-49 Male Canada
## 8146 35-39 Male United States of America
## 8147 60-69 Female United States of America
## 8148 22-24 Male Colombia
## 8149 25-29 Male Turkey
## 8150 30-34 Male Portugal
## 8151 25-29 Male Belgium
## 8152 22-24 Male Brazil
## 8153 25-29 Male Pakistan
## 8154 22-24 Male United States of America
## 8155 25-29 Male Russia
## 8156 25-29 Male United States of America
## 8157 30-34 Male United States of America
## 8158 35-39 Male Ireland
## 8159 35-39 Male United States of America
## 8160 25-29 Female France
## 8161 30-34 Male United States of America
## 8162 35-39 Female Germany
## 8163 22-24 Male Other
## 8164 25-29 Male Brazil
## 8165 35-39 Prefer not to say Spain
## 8166 18-21 Male Belgium
## 8167 22-24 Male United States of America
## 8168 25-29 Male United States of America
## 8169 25-29 Male United States of America
## 8170 30-34 Male India
## 8171 18-21 Male Morocco
## 8172 50-54 Female United States of America
## 8173 22-24 Male United States of America
## 8174 50-54 Male Brazil
## 8175 22-24 Male United States of America
## 8176 50-54 Male United States of America
## 8177 50-54 Male France
## 8178 40-44 Male United States of America
## 8179 22-24 Male Nigeria
## 8180 30-34 Male India
## 8181 35-39 Male Spain
## 8182 30-34 Male Russia
## 8183 25-29 Male Belarus
## 8184 25-29 Male Brazil
## 8185 22-24 Female Belgium
## 8186 30-34 Prefer not to say Mexico
## 8187 35-39 Female France
## 8188 45-49 Female Canada
## 8189 40-44 Prefer not to say Switzerland
## 8190 22-24 Male United States of America
## 8191 18-21 Male United States of America
## 8192 35-39 Male Algeria
## 8193 25-29 Male Australia
## 8194 50-54 Male Italy
## 8195 30-34 Male Switzerland
## 8196 40-44 Male Other
## 8197 30-34 Male United States of America
## 8198 22-24 Male Other
## 8199 45-49 Male France
## 8200 40-44 Male United States of America
## 8201 70+ Male United States of America
## 8202 22-24 Female United States of America
## 8203 35-39 Female Nigeria
## 8204 50-54 Male Hungary
## 8205 22-24 Male United States of America
## 8206 45-49 Male Brazil
## 8207 35-39 Male United States of America
## 8208 60-69 Male United States of America
## 8209 18-21 Male Peru
## 8210 40-44 Male Morocco
## 8211 55-59 Male France
## 8212 35-39 Male United States of America
## 8213 30-34 Female Canada
## 8214 30-34 Female Switzerland
## 8215 45-49 Male United States of America
## 8216 18-21 Male India
## 8217 40-44 Female United States of America
## 8218 70+ Male United States of America
## 8219 50-54 Male United States of America
## 8220 50-54 Male Italy
## 8221 35-39 Male Turkey
## 8222 25-29 Male Nigeria
## 8223 25-29 Male Italy
## 8224 25-29 Male New Zealand
## 8225 18-21 Female India
## 8226 45-49 Male United States of America
## 8227 25-29 Female United States of America
## 8228 22-24 Male France
## 8229 22-24 Male Russia
## 8230 35-39 Male Norway
## 8231 25-29 Male United States of America
## 8232 22-24 Male Peru
## 8233 50-54 Male Brazil
## 8234 45-49 Female United States of America
## 8235 25-29 Female United States of America
## 8236 25-29 Male United States of America
## 8237 30-34 Male United States of America
## 8238 22-24 Female Pakistan
## 8239 45-49 Male Switzerland
## 8240 30-34 Female Egypt
## 8241 40-44 Prefer not to say United Kingdom
## 8242 30-34 Male India
## 8243 25-29 Male Australia
## 8244 18-21 Male Other
## 8245 30-34 Male Italy
## 8246 25-29 Female France
## 8247 18-21 Male India
## 8248 18-21 Male India
## 8249 40-44 Male United States of America
## 8250 18-21 Male India
## 8251 40-44 Male Nigeria
## 8252 22-24 Male Japan
## 8253 45-49 Prefer not to say United States of America
## 8254 30-34 Male Other
## 8255 55-59 Male United States of America
## 8256 30-34 Male Canada
## 8257 25-29 Prefer to self-describe United States of America
## 8258 25-29 Male Brazil
## 8259 30-34 Male Turkey
## 8260 35-39 Female United Kingdom
## 8261 40-44 Male United Kingdom
## 8262 40-44 Male United States of America
## 8263 22-24 Male Russia
## 8264 50-54 Male Canada
## 8265 30-34 Male Russia
## 8266 30-34 Female United States of America
## 8267 25-29 Female United States of America
## 8268 22-24 Male China
## 8269 25-29 Male Spain
## 8270 18-21 Female India
## 8271 25-29 Male France
## 8272 30-34 Male Germany
## 8273 35-39 Male Russia
## 8274 30-34 Female Brazil
## 8275 40-44 Male United Kingdom
## 8276 25-29 Male United Kingdom
## 8277 35-39 Male United Kingdom
## 8278 25-29 Male United States of America
## 8279 35-39 Male United States of America
## 8280 55-59 Male United States of America
## 8281 22-24 Male India
## 8282 25-29 Male Canada
## 8283 25-29 Female United States of America
## 8284 55-59 Male United Kingdom
## 8285 30-34 Female Australia
## 8286 35-39 Male Australia
## 8287 18-21 Male Other
## 8288 25-29 Male Netherlands
## 8289 30-34 Male Spain
## 8290 50-54 Male United States of America
## 8291 30-34 Female Brazil
## 8292 25-29 Male India
## 8293 25-29 Male France
## 8294 45-49 Male Spain
## 8295 40-44 Male New Zealand
## 8296 30-34 Male Israel
## 8297 55-59 Male Mexico
## 8298 45-49 Female United States of America
## 8299 50-54 Male United States of America
## 8300 45-49 Male United States of America
## 8301 22-24 Male Colombia
## 8302 25-29 Male India
## 8303 30-34 Male Other
## 8304 25-29 Male United States of America
## 8305 22-24 Male India
## 8306 18-21 Male Nigeria
## 8307 30-34 Male Ukraine
## 8308 30-34 Female Brazil
## 8309 25-29 Male Nigeria
## 8310 25-29 Male Ukraine
## 8311 35-39 Male Japan
## 8312 25-29 Male India
## 8313 35-39 Male Russia
## 8314 30-34 Male New Zealand
## 8315 25-29 Male Japan
## 8316 22-24 Male India
## 8317 35-39 Female United States of America
## 8318 22-24 Male India
## 8319 40-44 Male Romania
## 8320 30-34 Male Spain
## 8321 18-21 Male India
## 8322 22-24 Male Egypt
## 8323 50-54 Male United Kingdom
## 8324 35-39 Male Brazil
## 8325 35-39 Male Japan
## 8326 25-29 Female Nigeria
## 8327 40-44 Male United States of America
## 8328 45-49 Male United Kingdom
## 8329 25-29 Male Japan
## 8330 18-21 Male Ukraine
## 8331 30-34 Female Brazil
## 8332 40-44 Male Brazil
## 8333 60-69 Male Poland
## 8334 25-29 Female United States of America
## 8335 22-24 Male India
## 8336 40-44 Male France
## 8337 30-34 Male Other
## 8338 35-39 Female Peru
## 8339 45-49 Male Australia
## 8340 18-21 Male Nigeria
## 8341 22-24 Female Morocco
## 8342 30-34 Male Germany
## 8343 30-34 Male Egypt
## 8344 30-34 Male India
## 8345 18-21 Male India
## 8346 18-21 Female Nigeria
## 8347 45-49 Male Switzerland
## 8348 25-29 Male Nigeria
## 8349 22-24 Male India
## 8350 25-29 Male Poland
## 8351 45-49 Female United States of America
## 8352 25-29 Male Bangladesh
## 8353 25-29 Male Brazil
## 8354 25-29 Male India
## 8355 35-39 Male United Kingdom
## 8356 25-29 Female United States of America
## 8357 55-59 Female United States of America
## 8358 25-29 Male Denmark
## 8359 30-34 Male Egypt
## 8360 25-29 Female United States of America
## 8361 40-44 Male United States of America
## 8362 22-24 Male United States of America
## 8363 25-29 Male France
## 8364 50-54 Male Israel
## 8365 18-21 Male Nigeria
## 8366 35-39 Male United States of America
## 8367 25-29 Male Germany
## 8368 40-44 Female Other
## 8369 40-44 Male Japan
## 8370 35-39 Male Chile
## 8371 40-44 Male Norway
## 8372 25-29 Male Russia
## 8373 35-39 Female France
## 8374 25-29 Male Turkey
## 8375 25-29 Male United States of America
## 8376 25-29 Female Sweden
## 8377 40-44 Male Australia
## 8378 40-44 Male United States of America
## 8379 22-24 Female Japan
## 8380 30-34 Male Brazil
## 8381 50-54 Male Brazil
## 8382 30-34 Male Nigeria
## 8383 25-29 Male United States of America
## 8384 40-44 Male United States of America
## 8385 40-44 Male United States of America
## 8386 45-49 Male United States of America
## 8387 45-49 Male United States of America
## 8388 70+ Male Germany
## 8389 22-24 Male India
## 8390 60-69 Male United States of America
## 8391 60-69 Male United States of America
## 8392 25-29 Male Czech Republic
## 8393 40-44 Male Australia
## 8394 25-29 Male Brazil
## 8395 22-24 Male Morocco
## 8396 25-29 Male United States of America
## 8397 25-29 Male Nigeria
## 8398 22-24 Male Canada
## 8399 35-39 Male United States of America
## 8400 30-34 Male Nigeria
## 8401 45-49 Male Australia
## 8402 30-34 Male Netherlands
## 8403 40-44 Female United States of America
## 8404 35-39 Male Canada
## 8405 35-39 Male Argentina
## 8406 40-44 Male United States of America
## 8407 22-24 Male Other
## 8408 22-24 Male Nigeria
## 8409 25-29 Male United States of America
## 8410 45-49 Male United States of America
## 8411 35-39 Male Morocco
## 8412 70+ Male United States of America
## 8413 50-54 Female Portugal
## 8414 30-34 Male Spain
## 8415 60-69 Male Spain
## 8416 25-29 Male Nigeria
## 8417 60-69 Male Australia
## 8418 22-24 Male Other
## 8419 25-29 Male New Zealand
## 8420 35-39 Female United States of America
## 8421 35-39 Female Thailand
## 8422 50-54 Male United States of America
## 8423 25-29 Male United States of America
## 8424 30-34 Male India
## 8425 50-54 Male United States of America
## 8426 25-29 Male Ukraine
## 8427 55-59 Male Spain
## 8428 30-34 Male Brazil
## 8429 60-69 Male Australia
## 8430 60-69 Male United States of America
## 8431 35-39 Male United States of America
## 8432 35-39 Male Japan
## 8433 30-34 Female United States of America
## 8434 30-34 Male Italy
## 8435 25-29 Male Japan
## 8436 45-49 Male United States of America
## 8437 35-39 Male Mexico
## 8438 30-34 Male United States of America
## 8439 25-29 Female Other
## 8440 35-39 Male Japan
## 8441 35-39 Male Canada
## 8442 70+ Male United States of America
## 8443 25-29 Male United Kingdom
## 8444 40-44 Male United States of America
## 8445 25-29 Female Sweden
## 8446 22-24 Male India
## 8447 30-34 Male Brazil
## 8448 40-44 Female United States of America
## 8449 25-29 Male India
## 8450 18-21 Male Other
## 8451 60-69 Male Other
## 8452 30-34 Male Japan
## 8453 60-69 Male Australia
## 8454 25-29 Male France
## 8455 40-44 Male United States of America
## 8456 35-39 Male France
## 8457 25-29 Male Brazil
## 8458 50-54 Male Other
## 8459 25-29 Male India
## 8460 40-44 Male Canada
## 8461 18-21 Male Peru
## 8462 25-29 Female Other
## 8463 35-39 Male Germany
## 8464 60-69 Male United States of America
## 8465 30-34 Male United States of America
## 8466 30-34 Male United States of America
## 8467 30-34 Male Other
## 8468 30-34 Male Australia
## 8469 35-39 Male Poland
## 8470 55-59 Male United States of America
## 8471 35-39 Male Australia
## 8472 30-34 Male Norway
## 8473 30-34 Male Spain
## 8474 35-39 Male South Africa
## 8475 60-69 Male Egypt
## 8476 30-34 Female Egypt
## 8477 40-44 Male Australia
## 8478 25-29 Male United States of America
## 8479 22-24 Male India
## 8480 35-39 Male Canada
## 8481 35-39 Male United States of America
## 8482 18-21 Male United States of America
## 8483 25-29 Male Philippines
## 8484 45-49 Male South Korea
## 8485 55-59 Prefer not to say United States of America
## 8486 40-44 Male Australia
## 8487 18-21 Male United States of America
## 8488 25-29 Male Colombia
## 8489 25-29 Male United Kingdom
## 8490 22-24 Female Thailand
## 8491 25-29 Male United States of America
## 8492 22-24 Male Sweden
## 8493 40-44 Male United States of America
## 8494 45-49 Male India
## 8495 45-49 Female Spain
## 8496 45-49 Male Nigeria
## 8497 45-49 Male United States of America
## 8498 30-34 Male Brazil
## 8499 25-29 Male India
## 8500 35-39 Male United States of America
## 8501 40-44 Female United States of America
## 8502 50-54 Male Spain
## 8503 30-34 Male United States of America
## 8504 22-24 Male India
## 8505 18-21 Male Japan
## 8506 30-34 Male Australia
## 8507 30-34 Male India
## 8508 22-24 Male Brazil
## 8509 30-34 Male Turkey
## 8510 30-34 Male United States of America
## 8511 40-44 Male Japan
## 8512 22-24 Male United States of America
## 8513 40-44 Male Australia
## 8514 18-21 Female Pakistan
## 8515 40-44 Female Brazil
## 8516 50-54 Female United States of America
## 8517 22-24 Male Japan
## 8518 55-59 Female United States of America
## 8519 22-24 Male United States of America
## 8520 40-44 Male United States of America
## 8521 18-21 Male Nigeria
## 8522 25-29 Male United States of America
## 8523 25-29 Male Canada
## 8524 18-21 Male Colombia
## 8525 45-49 Female United States of America
## 8526 50-54 Male Australia
## 8527 22-24 Male Australia
## 8528 18-21 Male China
## 8529 25-29 Male Republic of Korea
## 8530 25-29 Female Australia
## 8531 30-34 Male Brazil
## 8532 25-29 Male Singapore
## 8533 45-49 Male Mexico
## 8534 25-29 Male Colombia
## 8535 40-44 Male Australia
## 8536 40-44 Male United States of America
## 8537 70+ Male United States of America
## 8538 30-34 Male United States of America
## 8539 22-24 Male India
## 8540 50-54 Female Japan
## 8541 25-29 Male South Korea
## 8542 60-69 Male United States of America
## 8543 18-21 Female South Korea
## 8544 22-24 Male Bangladesh
## 8545 35-39 Male India
## 8546 25-29 Female United States of America
## 8547 18-21 Male Brazil
## 8548 30-34 Male Czech Republic
## 8549 55-59 Male Malaysia
## 8550 22-24 Male India
## 8551 30-34 Male Other
## 8552 25-29 Male Morocco
## 8553 30-34 Male India
## 8554 30-34 Male Japan
## 8555 40-44 Male Australia
## 8556 55-59 Male Russia
## 8557 25-29 Male India
## 8558 25-29 Female Saudi Arabia
## 8559 30-34 Male India
## 8560 55-59 Male India
## 8561 35-39 Male United States of America
## 8562 25-29 Male Canada
## 8563 40-44 Male Japan
## 8564 50-54 Female Portugal
## 8565 30-34 Male Singapore
## 8566 30-34 Male Portugal
## 8567 55-59 Male Japan
## 8568 25-29 Male United States of America
## 8569 35-39 Male Japan
## 8570 35-39 Male Japan
## 8571 22-24 Male Morocco
## 8572 25-29 Male United States of America
## 8573 25-29 Female United States of America
## 8574 45-49 Male Japan
## 8575 22-24 Male Brazil
## 8576 25-29 Male Canada
## 8577 50-54 Male Brazil
## 8578 30-34 Male India
## 8579 22-24 Female Tunisia
## 8580 30-34 Male Peru
## 8581 18-21 Male United States of America
## 8582 40-44 Male Taiwan
## 8583 45-49 Male United States of America
## 8584 55-59 Male Poland
## 8585 22-24 Male Nigeria
## 8586 30-34 Male Pakistan
## 8587 22-24 Female United States of America
## 8588 35-39 Male United States of America
## 8589 45-49 Male Japan
## 8590 35-39 Female United States of America
## 8591 30-34 Male Hong Kong (S.A.R.)
## 8592 45-49 Male United Kingdom
## 8593 70+ Female United States of America
## 8594 45-49 Male United States of America
## 8595 18-21 Male South Korea
## 8596 40-44 Male Australia
## 8597 55-59 Male United States of America
## 8598 30-34 Male United States of America
## 8599 40-44 Male Singapore
## 8600 40-44 Male Republic of Korea
## 8601 35-39 Male Brazil
## 8602 22-24 Male Other
## 8603 30-34 Male Ireland
## 8604 25-29 Male Nigeria
## 8605 35-39 Male Taiwan
## 8606 60-69 Male United States of America
## 8607 55-59 Male Spain
## 8608 45-49 Male Australia
## 8609 35-39 Male Other
## 8610 45-49 Male Other
## 8611 30-34 Male Brazil
## 8612 30-34 Male Other
## 8613 35-39 Male Japan
## 8614 35-39 Male United States of America
## 8615 55-59 Male Thailand
## 8616 40-44 Male United States of America
## 8617 40-44 Male Brazil
## 8618 30-34 Male South Korea
## 8619 30-34 Male United States of America
## 8620 25-29 Male United States of America
## 8621 22-24 Male Egypt
## 8622 30-34 Male United States of America
## 8623 40-44 Male Australia
## 8624 40-44 Male United States of America
## 8625 50-54 Male United States of America
## 8626 22-24 Male Other
## 8627 45-49 Male Japan
## 8628 30-34 Male Colombia
## 8629 30-34 Male Taiwan
## 8630 22-24 Male Canada
## 8631 40-44 Male United States of America
## 8632 35-39 Male United States of America
## 8633 25-29 Male Australia
## 8634 25-29 Male India
## 8635 50-54 Female Japan
## 8636 25-29 Male Switzerland
## 8637 30-34 Male United States of America
## 8638 25-29 Male United States of America
## 8639 18-21 Female United States of America
## 8640 25-29 Male United States of America
## 8641 30-34 Male Indonesia
## 8642 18-21 Male Indonesia
## 8643 60-69 Male United States of America
## 8644 35-39 Male United States of America
## 8645 40-44 Male Canada
## 8646 35-39 Male Israel
## 8647 35-39 Male United States of America
## 8648 45-49 Male Japan
## 8649 45-49 Male South Korea
## 8650 22-24 Male Nigeria
## 8651 22-24 Male Brazil
## 8652 22-24 Male Nigeria
## 8653 18-21 Male India
## 8654 50-54 Male Canada
## 8655 18-21 Female United States of America
## 8656 45-49 Male Japan
## 8657 22-24 Male India
## 8658 40-44 Prefer not to say Australia
## 8659 35-39 Male Mexico
## 8660 22-24 Male Denmark
## 8661 30-34 Male Brazil
## 8662 18-21 Male India
## 8663 22-24 Female United States of America
## 8664 35-39 Male Brazil
## 8665 25-29 Male Canada
## 8666 30-34 Male Canada
## 8667 45-49 Male United States of America
## 8668 45-49 Female Russia
## 8669 35-39 Male United States of America
## 8670 25-29 Male Nigeria
## 8671 22-24 Female Colombia
## 8672 45-49 Male Viet Nam
## 8673 35-39 Male United States of America
## 8674 25-29 Female Saudi Arabia
## 8675 35-39 Female United States of America
## 8676 25-29 Male China
## 8677 18-21 Female India
## 8678 22-24 Female Indonesia
## 8679 25-29 Male Japan
## 8680 22-24 Male Brazil
## 8681 25-29 Male Republic of Korea
## 8682 30-34 Male Japan
## 8683 45-49 Male United States of America
## 8684 18-21 Male India
## 8685 55-59 Male United States of America
## 8686 30-34 Female Egypt
## 8687 30-34 Male United States of America
## 8688 25-29 Male United States of America
## 8689 35-39 Male Viet Nam
## 8690 35-39 Female United States of America
## 8691 25-29 Male United States of America
## 8692 70+ Male United States of America
## 8693 45-49 Male Japan
## 8694 25-29 Male Tunisia
## 8695 25-29 Male South Korea
## 8696 35-39 Male Hong Kong (S.A.R.)
## 8697 30-34 Male Japan
## 8698 40-44 Male South Korea
## 8699 50-54 Male Brazil
## 8700 30-34 Male Taiwan
## 8701 55-59 Male Chile
## 8702 50-54 Male Japan
## 8703 45-49 Female United States of America
## 8704 22-24 Male Bangladesh
## 8705 45-49 Male Republic of Korea
## 8706 55-59 Male Brazil
## 8707 25-29 Male Philippines
## 8708 18-21 Male India
## 8709 35-39 Male Republic of Korea
## 8710 35-39 Male Colombia
## 8711 22-24 Male Malaysia
## 8712 55-59 Male United States of America
## 8713 30-34 Male United States of America
## 8714 22-24 Male Brazil
## 8715 40-44 Male Australia
## 8716 22-24 Male Brazil
## 8717 60-69 Male Japan
## 8718 22-24 Male Peru
## 8719 40-44 Male Brazil
## 8720 55-59 Male Mexico
## 8721 45-49 Female United States of America
## 8722 25-29 Male United States of America
## 8723 50-54 Male Japan
## 8724 30-34 Male South Korea
## 8725 25-29 Male United States of America
## 8726 40-44 Male China
## 8727 18-21 Male Other
## 8728 22-24 Female India
## 8729 25-29 Female Canada
## 8730 25-29 Female Germany
## 8731 18-21 Male Canada
## 8732 60-69 Male United States of America
## 8733 22-24 Male India
## 8734 25-29 Male Australia
## 8735 45-49 Female United States of America
## 8736 60-69 Male United States of America
## 8737 35-39 Prefer not to say Japan
## 8738 60-69 Male Japan
## 8739 25-29 Male Nigeria
## 8740 22-24 Female Viet Nam
## 8741 25-29 Prefer not to say China
## 8742 35-39 Male Philippines
## 8743 18-21 Female India
## 8744 25-29 Male Japan
## 8745 18-21 Male China
## 8746 25-29 Male India
## 8747 25-29 Male South Korea
## 8748 40-44 Male Taiwan
## 8749 30-34 Female United States of America
## 8750 40-44 Female United States of America
## 8751 25-29 Male Colombia
## 8752 18-21 Male China
## 8753 45-49 Male United States of America
## 8754 55-59 Female United States of America
## 8755 30-34 Male India
## 8756 18-21 Male India
## 8757 45-49 Male South Korea
## 8758 30-34 Female India
## 8759 25-29 Male United States of America
## 8760 22-24 Female United States of America
## 8761 25-29 Female Malaysia
## 8762 35-39 Male United Kingdom
## 8763 35-39 Female India
## 8764 35-39 Male United States of America
## 8765 30-34 Male Canada
## 8766 25-29 Male Brazil
## 8767 30-34 Male Japan
## 8768 25-29 Male Colombia
## 8769 18-21 Female India
## 8770 25-29 Male Brazil
## 8771 30-34 Male United States of America
## 8772 25-29 Male Hong Kong (S.A.R.)
## 8773 25-29 Male Japan
## 8774 18-21 Male India
## 8775 50-54 Male Australia
## 8776 25-29 Male United States of America
## 8777 18-21 Male India
## 8778 40-44 Male United States of America
## 8779 30-34 Male India
## 8780 18-21 Female India
## 8781 35-39 Male Viet Nam
## 8782 25-29 Male Canada
## 8783 22-24 Male Nigeria
## 8784 45-49 Male South Korea
## 8785 40-44 Male China
## 8786 30-34 Male Colombia
## 8787 25-29 Male Russia
## 8788 50-54 Male Singapore
## 8789 30-34 Male India
## 8790 60-69 Male Mexico
## 8791 45-49 Male Taiwan
## 8792 60-69 Male United States of America
## 8793 25-29 Female Malaysia
## 8794 30-34 Male Brazil
## 8795 25-29 Male Japan
## 8796 18-21 Female India
## 8797 22-24 Male United States of America
## 8798 25-29 Male India
## 8799 18-21 Male India
## 8800 50-54 Male Indonesia
## 8801 25-29 Male India
## 8802 40-44 Male Brazil
## 8803 22-24 Male Peru
## 8804 25-29 Male China
## 8805 25-29 Male Viet Nam
## 8806 50-54 Female Canada
## 8807 18-21 Male India
## 8808 25-29 Male India
## 8809 18-21 Female India
## 8810 22-24 Male China
## 8811 30-34 Male Taiwan
## 8812 30-34 Male Republic of Korea
## 8813 35-39 Male Japan
## 8814 25-29 Male Peru
## 8815 22-24 Male India
## 8816 25-29 Male India
## 8817 25-29 Male Mexico
## 8818 50-54 Male India
## 8819 60-69 Male Argentina
## 8820 30-34 Male Indonesia
## 8821 30-34 Male United States of America
## 8822 30-34 Male United States of America
## 8823 35-39 Male Japan
## 8824 25-29 Male India
## 8825 40-44 Male Brazil
## 8826 25-29 Male India
## 8827 25-29 Male Russia
## 8828 18-21 Prefer not to say Belgium
## 8829 18-21 Female Singapore
## 8830 45-49 Male India
## 8831 50-54 Prefer not to say United States of America
## 8832 25-29 Male Indonesia
## 8833 22-24 Male Colombia
## 8834 22-24 Male Other
## 8835 22-24 Male United States of America
## 8836 40-44 Male United States of America
## 8837 35-39 Male India
## 8838 55-59 Male Canada
## 8839 25-29 Male United States of America
## 8840 45-49 Female United States of America
## 8841 40-44 Male United States of America
## 8842 55-59 Male Brazil
## 8843 22-24 Male China
## 8844 25-29 Male Kenya
## 8845 25-29 Male Japan
## 8846 35-39 Female Taiwan
## 8847 50-54 Male Japan
## 8848 22-24 Male India
## 8849 18-21 Female India
## 8850 30-34 Female United States of America
## 8851 30-34 Male Brazil
## 8852 18-21 Male Brazil
## 8853 35-39 Male India
## 8854 50-54 Male Taiwan
## 8855 35-39 Male Taiwan
## 8856 30-34 Male Brazil
## 8857 30-34 Male India
## 8858 50-54 Male Singapore
## 8859 25-29 Male Belarus
## 8860 50-54 Male China
## 8861 50-54 Male South Korea
## 8862 45-49 Male United States of America
## 8863 35-39 Male Taiwan
## 8864 22-24 Male Taiwan
## 8865 25-29 Male United States of America
## 8866 30-34 Male Viet Nam
## 8867 30-34 Female United States of America
## 8868 25-29 Male India
## 8869 40-44 Male United States of America
## 8870 50-54 Female Chile
## 8871 30-34 Male United States of America
## 8872 25-29 Male China
## 8873 25-29 Male United States of America
## 8874 70+ Male United States of America
## 8875 22-24 Female Malaysia
## 8876 55-59 Male United Kingdom
## 8877 30-34 Male India
## 8878 45-49 Male Australia
## 8879 40-44 Male India
## 8880 30-34 Male Singapore
## 8881 35-39 Male Argentina
## 8882 25-29 Male China
## 8883 25-29 Male United States of America
## 8884 45-49 Male India
## 8885 45-49 Male Taiwan
## 8886 25-29 Male Australia
## 8887 25-29 Male China
## 8888 22-24 Male United States of America
## 8889 22-24 Male Brazil
## 8890 22-24 Male India
## 8891 40-44 Male Taiwan
## 8892 25-29 Male Canada
## 8893 25-29 Male Brazil
## 8894 30-34 Male United States of America
## 8895 22-24 Male United States of America
## 8896 18-21 Male India
## 8897 22-24 Male Egypt
## 8898 30-34 Male Brazil
## 8899 45-49 Male Taiwan
## 8900 18-21 Male Japan
## 8901 25-29 Male Taiwan
## 8902 30-34 Male India
## 8903 35-39 Female India
## 8904 25-29 Male Singapore
## 8905 22-24 Male Taiwan
## 8906 30-34 Male India
## 8907 18-21 Male India
## 8908 22-24 Male India
## 8909 22-24 Male India
## 8910 25-29 Male China
## 8911 25-29 Male Singapore
## 8912 60-69 Male Other
## 8913 60-69 Male United States of America
## 8914 22-24 Male India
## 8915 35-39 Male China
## 8916 22-24 Male Singapore
## 8917 22-24 Male Australia
## 8918 40-44 Male Taiwan
## 8919 70+ Male United States of America
## 8920 25-29 Male Indonesia
## 8921 18-21 Male India
## 8922 35-39 Male Japan
## 8923 25-29 Male India
## 8924 40-44 Female United States of America
## 8925 25-29 Male Taiwan
## 8926 25-29 Male Pakistan
## 8927 60-69 Male Chile
## 8928 40-44 Female Canada
## 8929 22-24 Female India
## 8930 40-44 Male India
## 8931 35-39 Male Taiwan
## 8932 30-34 Male India
## 8933 45-49 Female United States of America
## 8934 22-24 Male Indonesia
## 8935 45-49 Male Taiwan
## 8936 45-49 Male United States of America
## 8937 18-21 Male Viet Nam
## 8938 25-29 Male Japan
## 8939 30-34 Male Malaysia
## 8940 45-49 Male India
## 8941 35-39 Male United States of America
## 8942 25-29 Male Hong Kong (S.A.R.)
## 8943 25-29 Male China
## 8944 25-29 Male Brazil
## 8945 35-39 Male Turkey
## 8946 35-39 Male Malaysia
## 8947 25-29 Female United States of America
## 8948 18-21 Male India
## 8949 50-54 Male South Korea
## 8950 18-21 Male India
## 8951 25-29 Male India
## 8952 22-24 Male China
## 8953 30-34 Male United States of America
## 8954 50-54 Male United States of America
## 8955 35-39 Male Brazil
## 8956 30-34 Male South Korea
## 8957 45-49 Female Japan
## 8958 25-29 Female India
## 8959 30-34 Male India
## 8960 22-24 Male China
## 8961 45-49 Male Japan
## 8962 25-29 Male India
## 8963 35-39 Female Italy
## 8964 22-24 Male India
## 8965 18-21 Male India
## 8966 22-24 Male United States of America
## 8967 18-21 Male India
## 8968 18-21 Male India
## 8969 25-29 Male Romania
## 8970 25-29 Male China
## 8971 30-34 Female Australia
## 8972 30-34 Male India
## 8973 22-24 Male India
## 8974 35-39 Male United States of America
## 8975 18-21 Male Kenya
## 8976 45-49 Male Pakistan
## 8977 45-49 Male Canada
## 8978 35-39 Male United States of America
## 8979 25-29 Female India
## 8980 50-54 Male Japan
## 8981 25-29 Male China
## 8982 25-29 Male India
## 8983 45-49 Female Taiwan
## 8984 30-34 Male Japan
## 8985 25-29 Male Brazil
## 8986 35-39 Male India
## 8987 30-34 Male India
## 8988 30-34 Male Brazil
## 8989 30-34 Male India
## 8990 60-69 Male India
## 8991 22-24 Male Mexico
## 8992 25-29 Male China
## 8993 22-24 Male India
## 8994 25-29 Male Taiwan
## 8995 25-29 Male India
## 8996 22-24 Male Taiwan
## 8997 18-21 Male India
## 8998 35-39 Male Japan
## 8999 35-39 Male Viet Nam
## 9000 35-39 Male Taiwan
## 9001 18-21 Male India
## 9002 25-29 Male Taiwan
## 9003 22-24 Female Hong Kong (S.A.R.)
## 9004 25-29 Male South Korea
## 9005 22-24 Male Taiwan
## 9006 18-21 Male Taiwan
## 9007 35-39 Male India
## 9008 35-39 Male India
## 9009 18-21 Female India
## 9010 25-29 Male Colombia
## 9011 22-24 Male Australia
## 9012 40-44 Male United States of America
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## 448 Bachelorâ\200\231s 0-49
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## 452 Masterâ\200\231s <NA>
## 453 Professional > 10,000
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## 457 Bachelorâ\200\231s > 10,000
## 458 Masterâ\200\231s 1000-9,999
## 459 Bachelorâ\200\231s <NA>
## 460 Masterâ\200\231s 50-249
## 461 Bachelorâ\200\231s > 10,000
## 462 Professional 50-249
## 463 Masterâ\200\231s > 10,000
## 464 Bachelorâ\200\231s <NA>
## 465 Bachelorâ\200\231s > 10,000
## 466 Masterâ\200\231s <NA>
## 467 Doctoral 250-999
## 468 Professional 1000-9,999
## 469 Masterâ\200\231s 250-999
## 470 Doctoral 0-49
## 471 Bachelorâ\200\231s <NA>
## 472 Doctoral > 10,000
## 473 Doctoral 1000-9,999
## 474 Bachelorâ\200\231s > 10,000
## 475 I prefer not to answer <NA>
## 476 Masterâ\200\231s > 10,000
## 477 Masterâ\200\231s > 10,000
## 478 Doctoral > 10,000
## 479 Masterâ\200\231s 50-249
## 480 Bachelorâ\200\231s <NA>
## 481 I prefer not to answer > 10,000
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## 484 Masterâ\200\231s 50-249
## 485 Masterâ\200\231s <NA>
## 486 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
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## 489 Bachelorâ\200\231s <NA>
## 490 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 491 Masterâ\200\231s 1000-9,999
## 492 Doctoral 1000-9,999
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## 495 Bachelorâ\200\231s 1000-9,999
## 496 Bachelorâ\200\231s 250-999
## 497 Masterâ\200\231s 0-49
## 498 Masterâ\200\231s > 10,000
## 499 Masterâ\200\231s 1000-9,999
## 500 Bachelorâ\200\231s 0-49
## 501 Bachelorâ\200\231s <NA>
## 502 Bachelorâ\200\231s > 10,000
## 503 Doctoral 1000-9,999
## 504 Masterâ\200\231s 0-49
## 505 Masterâ\200\231s > 10,000
## 506 Bachelorâ\200\231s > 10,000
## 507 Bachelorâ\200\231s <NA>
## 508 Masterâ\200\231s 250-999
## 509 Masterâ\200\231s 0-49
## 510 Masterâ\200\231s <NA>
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## 512 Masterâ\200\231s 0-49
## 513 Bachelorâ\200\231s > 10,000
## 514 Bachelorâ\200\231s 0-49
## 515 Bachelorâ\200\231s 1000-9,999
## 516 Doctoral > 10,000
## 517 Bachelorâ\200\231s <NA>
## 518 Bachelorâ\200\231s > 10,000
## 519 Masterâ\200\231s <NA>
## 520 Doctoral > 10,000
## 521 Bachelorâ\200\231s 0-49
## 522 Masterâ\200\231s <NA>
## 523 Masterâ\200\231s > 10,000
## 524 Doctoral 1000-9,999
## 525 Doctoral 250-999
## 526 Doctoral 0-49
## 527 Doctoral 250-999
## 528 Masterâ\200\231s <NA>
## 529 Doctoral 0-49
## 530 Doctoral <NA>
## 531 Doctoral <NA>
## 532 Doctoral 250-999
## 533 Doctoral > 10,000
## 534 Bachelorâ\200\231s > 10,000
## 535 Doctoral 1000-9,999
## 536 Doctoral <NA>
## 537 Bachelorâ\200\231s <NA>
## 538 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 539 Masterâ\200\231s > 10,000
## 540 Masterâ\200\231s <NA>
## 541 Bachelorâ\200\231s 0-49
## 542 Masterâ\200\231s 0-49
## 543 Doctoral <NA>
## 544 Masterâ\200\231s 50-249
## 545 Masterâ\200\231s <NA>
## 546 Masterâ\200\231s > 10,000
## 547 Masterâ\200\231s > 10,000
## 548 Bachelorâ\200\231s <NA>
## 549 Masterâ\200\231s <NA>
## 550 Bachelorâ\200\231s 250-999
## 551 Bachelorâ\200\231s > 10,000
## 552 Doctoral > 10,000
## 553 Masterâ\200\231s 250-999
## 554 Doctoral > 10,000
## 555 Professional 50-249
## 556 Masterâ\200\231s 0-49
## 557 Masterâ\200\231s 0-49
## 558 Bachelorâ\200\231s <NA>
## 559 Bachelorâ\200\231s 1000-9,999
## 560 Masterâ\200\231s <NA>
## 561 Masterâ\200\231s 1000-9,999
## 562 Bachelorâ\200\231s > 10,000
## 563 Masterâ\200\231s 1000-9,999
## 564 Bachelorâ\200\231s <NA>
## 565 Masterâ\200\231s > 10,000
## 566 Bachelorâ\200\231s 0-49
## 567 Doctoral 250-999
## 568 Doctoral 0-49
## 569 Bachelorâ\200\231s 1000-9,999
## 570 Masterâ\200\231s 250-999
## 571 Masterâ\200\231s <NA>
## 572 Masterâ\200\231s 1000-9,999
## 573 Professional 0-49
## 574 Bachelorâ\200\231s 1000-9,999
## 575 Masterâ\200\231s <NA>
## 576 Masterâ\200\231s 0-49
## 577 Doctoral 0-49
## 578 Masterâ\200\231s > 10,000
## 579 Masterâ\200\231s 1000-9,999
## 580 Bachelorâ\200\231s <NA>
## 581 Bachelorâ\200\231s 0-49
## 582 Masterâ\200\231s <NA>
## 583 Doctoral 1000-9,999
## 584 Masterâ\200\231s 50-249
## 585 Masterâ\200\231s 50-249
## 586 Doctoral 0-49
## 587 Masterâ\200\231s > 10,000
## 588 Masterâ\200\231s 1000-9,999
## 589 Bachelorâ\200\231s <NA>
## 590 Doctoral 1000-9,999
## 591 Masterâ\200\231s <NA>
## 592 Masterâ\200\231s 1000-9,999
## 593 Masterâ\200\231s <NA>
## 594 Masterâ\200\231s > 10,000
## 595 I prefer not to answer > 10,000
## 596 Bachelorâ\200\231s <NA>
## 597 Bachelorâ\200\231s <NA>
## 598 Bachelorâ\200\231s <NA>
## 599 Bachelorâ\200\231s <NA>
## 600 Bachelorâ\200\231s <NA>
## 601 Doctoral 0-49
## 602 Masterâ\200\231s 1000-9,999
## 603 Masterâ\200\231s <NA>
## 604 Bachelorâ\200\231s <NA>
## 605 Masterâ\200\231s <NA>
## 606 Doctoral 250-999
## 607 Masterâ\200\231s 0-49
## 608 Masterâ\200\231s 0-49
## 609 Bachelorâ\200\231s <NA>
## 610 Masterâ\200\231s 0-49
## 611 Doctoral 250-999
## 612 Professional > 10,000
## 613 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 614 Masterâ\200\231s > 10,000
## 615 Masterâ\200\231s 50-249
## 616 Professional 1000-9,999
## 617 Masterâ\200\231s 250-999
## 618 Masterâ\200\231s > 10,000
## 619 Masterâ\200\231s > 10,000
## 620 Bachelorâ\200\231s > 10,000
## 621 Doctoral 0-49
## 622 Masterâ\200\231s <NA>
## 623 Masterâ\200\231s > 10,000
## 624 Bachelorâ\200\231s <NA>
## 625 I prefer not to answer 1000-9,999
## 626 Masterâ\200\231s 250-999
## 627 Bachelorâ\200\231s > 10,000
## 628 Bachelorâ\200\231s <NA>
## 629 Masterâ\200\231s 50-249
## 630 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 631 Bachelorâ\200\231s > 10,000
## 632 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 633 Bachelorâ\200\231s > 10,000
## 634 Doctoral > 10,000
## 635 Masterâ\200\231s > 10,000
## 636 Professional > 10,000
## 637 Masterâ\200\231s 0-49
## 638 Bachelorâ\200\231s <NA>
## 639 Masterâ\200\231s <NA>
## 640 Bachelorâ\200\231s <NA>
## 641 Doctoral 250-999
## 642 Bachelorâ\200\231s <NA>
## 643 Masterâ\200\231s 1000-9,999
## 644 Masterâ\200\231s 50-249
## 645 Masterâ\200\231s 0-49
## 646 Masterâ\200\231s <NA>
## 647 Bachelorâ\200\231s <NA>
## 648 Masterâ\200\231s 0-49
## 649 Masterâ\200\231s 0-49
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## 651 Bachelorâ\200\231s <NA>
## 652 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 653 Masterâ\200\231s 50-249
## 654 Masterâ\200\231s <NA>
## 655 Masterâ\200\231s > 10,000
## 656 Professional 50-249
## 657 Masterâ\200\231s 250-999
## 658 Bachelorâ\200\231s 250-999
## 659 Masterâ\200\231s <NA>
## 660 Masterâ\200\231s 1000-9,999
## 661 Bachelorâ\200\231s 50-249
## 662 Masterâ\200\231s <NA>
## 663 Masterâ\200\231s 1000-9,999
## 664 Doctoral <NA>
## 665 Masterâ\200\231s 1000-9,999
## 666 Doctoral 0-49
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## 668 Masterâ\200\231s <NA>
## 669 Bachelorâ\200\231s 1000-9,999
## 670 Bachelorâ\200\231s <NA>
## 671 Doctoral 0-49
## 672 Bachelorâ\200\231s <NA>
## 673 Masterâ\200\231s 1000-9,999
## 674 Bachelorâ\200\231s 0-49
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## 676 Masterâ\200\231s > 10,000
## 677 Bachelorâ\200\231s 1000-9,999
## 678 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 679 Bachelorâ\200\231s <NA>
## 680 Doctoral 0-49
## 681 Doctoral 1000-9,999
## 682 Masterâ\200\231s > 10,000
## 683 Masterâ\200\231s > 10,000
## 684 Doctoral 1000-9,999
## 685 Bachelorâ\200\231s <NA>
## 686 Masterâ\200\231s <NA>
## 687 Bachelorâ\200\231s 0-49
## 688 Bachelorâ\200\231s <NA>
## 689 Bachelorâ\200\231s 0-49
## 690 Masterâ\200\231s 250-999
## 691 Doctoral 0-49
## 692 Bachelorâ\200\231s > 10,000
## 693 Masterâ\200\231s 50-249
## 694 Doctoral 50-249
## 695 Doctoral 250-999
## 696 Bachelorâ\200\231s <NA>
## 697 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 698 Bachelorâ\200\231s 0-49
## 699 Doctoral 1000-9,999
## 700 Bachelorâ\200\231s 0-49
## 701 Masterâ\200\231s > 10,000
## 702 Masterâ\200\231s <NA>
## 703 Bachelorâ\200\231s <NA>
## 704 Bachelorâ\200\231s 250-999
## 705 Doctoral 1000-9,999
## 706 Doctoral 250-999
## 707 Masterâ\200\231s > 10,000
## 708 Doctoral > 10,000
## 709 Masterâ\200\231s <NA>
## 710 Masterâ\200\231s <NA>
## 711 Masterâ\200\231s 50-249
## 712 Masterâ\200\231s 0-49
## 713 Masterâ\200\231s 1000-9,999
## 714 Masterâ\200\231s 0-49
## 715 Masterâ\200\231s <NA>
## 716 Bachelorâ\200\231s 1000-9,999
## 717 Masterâ\200\231s 50-249
## 718 Bachelorâ\200\231s <NA>
## 719 Bachelorâ\200\231s <NA>
## 720 Doctoral 1000-9,999
## 721 Bachelorâ\200\231s > 10,000
## 722 Bachelorâ\200\231s <NA>
## 723 Doctoral <NA>
## 724 Masterâ\200\231s 0-49
## 725 Masterâ\200\231s 250-999
## 726 Masterâ\200\231s 1000-9,999
## 727 Masterâ\200\231s 1000-9,999
## 728 Doctoral 1000-9,999
## 729 Masterâ\200\231s 1000-9,999
## 730 Bachelorâ\200\231s <NA>
## 731 Doctoral > 10,000
## 732 Bachelorâ\200\231s <NA>
## 733 Bachelorâ\200\231s 1000-9,999
## 734 Masterâ\200\231s 0-49
## 735 Bachelorâ\200\231s 50-249
## 736 Masterâ\200\231s > 10,000
## 737 Masterâ\200\231s > 10,000
## 738 Masterâ\200\231s <NA>
## 739 Masterâ\200\231s <NA>
## 740 Masterâ\200\231s > 10,000
## 741 Masterâ\200\231s 0-49
## 742 Masterâ\200\231s <NA>
## 743 Masterâ\200\231s 1000-9,999
## 744 Bachelorâ\200\231s 250-999
## 745 Professional 0-49
## 746 Doctoral 1000-9,999
## 747 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 748 Masterâ\200\231s <NA>
## 749 Masterâ\200\231s 250-999
## 750 Masterâ\200\231s 50-249
## 751 Doctoral 250-999
## 752 Masterâ\200\231s <NA>
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## 754 Masterâ\200\231s > 10,000
## 755 Masterâ\200\231s > 10,000
## 756 Masterâ\200\231s 250-999
## 757 Masterâ\200\231s 0-49
## 758 Doctoral 250-999
## 759 Masterâ\200\231s 250-999
## 760 Doctoral 0-49
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## 762 Masterâ\200\231s > 10,000
## 763 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 764 Masterâ\200\231s > 10,000
## 765 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 766 Masterâ\200\231s 50-249
## 767 Masterâ\200\231s 250-999
## 768 Masterâ\200\231s > 10,000
## 769 Masterâ\200\231s 50-249
## 770 Masterâ\200\231s > 10,000
## 771 Professional > 10,000
## 772 Masterâ\200\231s > 10,000
## 773 Bachelorâ\200\231s 0-49
## 774 Professional > 10,000
## 775 Masterâ\200\231s <NA>
## 776 Bachelorâ\200\231s <NA>
## 777 Bachelorâ\200\231s 0-49
## 778 Masterâ\200\231s > 10,000
## 779 Doctoral <NA>
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## 781 Bachelorâ\200\231s <NA>
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## 783 Masterâ\200\231s > 10,000
## 784 Masterâ\200\231s 250-999
## 785 Bachelorâ\200\231s <NA>
## 786 Bachelorâ\200\231s 50-249
## 787 Bachelorâ\200\231s <NA>
## 788 Masterâ\200\231s <NA>
## 789 Masterâ\200\231s > 10,000
## 790 Masterâ\200\231s > 10,000
## 791 Masterâ\200\231s <NA>
## 792 Masterâ\200\231s > 10,000
## 793 Bachelorâ\200\231s 1000-9,999
## 794 Masterâ\200\231s <NA>
## 795 Doctoral > 10,000
## 796 Masterâ\200\231s > 10,000
## 797 Bachelorâ\200\231s 1000-9,999
## 798 Masterâ\200\231s <NA>
## 799 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
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## 802 Doctoral 1000-9,999
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## 804 Masterâ\200\231s 250-999
## 805 Masterâ\200\231s > 10,000
## 806 Masterâ\200\231s 1000-9,999
## 807 Bachelorâ\200\231s 1000-9,999
## 808 Bachelorâ\200\231s > 10,000
## 809 Masterâ\200\231s 250-999
## 810 Masterâ\200\231s 50-249
## 811 Masterâ\200\231s 1000-9,999
## 812 No formal education past high school <NA>
## 813 Masterâ\200\231s <NA>
## 814 Masterâ\200\231s 50-249
## 815 Bachelorâ\200\231s 50-249
## 816 Masterâ\200\231s <NA>
## 817 Masterâ\200\231s 250-999
## 818 Masterâ\200\231s > 10,000
## 819 Doctoral <NA>
## 820 Masterâ\200\231s > 10,000
## 821 Bachelorâ\200\231s <NA>
## 822 Masterâ\200\231s 250-999
## 823 Masterâ\200\231s > 10,000
## 824 Doctoral 0-49
## 825 Masterâ\200\231s 0-49
## 826 Bachelorâ\200\231s > 10,000
## 827 Bachelorâ\200\231s 0-49
## 828 Masterâ\200\231s 50-249
## 829 Doctoral 250-999
## 830 Masterâ\200\231s 250-999
## 831 Doctoral 0-49
## 832 Doctoral 0-49
## 833 Masterâ\200\231s 0-49
## 834 Doctoral 1000-9,999
## 835 Masterâ\200\231s 0-49
## 836 Masterâ\200\231s <NA>
## 837 Masterâ\200\231s <NA>
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## 839 Masterâ\200\231s 0-49
## 840 Bachelorâ\200\231s > 10,000
## 841 Professional 250-999
## 842 Masterâ\200\231s <NA>
## 843 Bachelorâ\200\231s > 10,000
## 844 Doctoral 50-249
## 845 Doctoral 1000-9,999
## 846 Doctoral <NA>
## 847 Masterâ\200\231s > 10,000
## 848 Masterâ\200\231s > 10,000
## 849 Masterâ\200\231s <NA>
## 850 Doctoral 1000-9,999
## 851 Bachelorâ\200\231s > 10,000
## 852 Masterâ\200\231s 0-49
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## 854 Doctoral 0-49
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## 856 Masterâ\200\231s 0-49
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## 858 Professional <NA>
## 859 Masterâ\200\231s <NA>
## 860 Masterâ\200\231s <NA>
## 861 Bachelorâ\200\231s <NA>
## 862 Masterâ\200\231s <NA>
## 863 Masterâ\200\231s 250-999
## 864 Bachelorâ\200\231s 0-49
## 865 Masterâ\200\231s > 10,000
## 866 Masterâ\200\231s 0-49
## 867 I prefer not to answer 0-49
## 868 Masterâ\200\231s <NA>
## 869 Masterâ\200\231s <NA>
## 870 Masterâ\200\231s <NA>
## 871 Masterâ\200\231s 0-49
## 872 Masterâ\200\231s 0-49
## 873 Doctoral 1000-9,999
## 874 Masterâ\200\231s <NA>
## 875 Masterâ\200\231s 1000-9,999
## 876 Bachelorâ\200\231s > 10,000
## 877 Masterâ\200\231s 50-249
## 878 Masterâ\200\231s 1000-9,999
## 879 Bachelorâ\200\231s 0-49
## 880 Professional > 10,000
## 881 Masterâ\200\231s <NA>
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## 883 Masterâ\200\231s 250-999
## 884 Doctoral <NA>
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## 886 Masterâ\200\231s > 10,000
## 887 Masterâ\200\231s 0-49
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## 889 Bachelorâ\200\231s <NA>
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## 891 Masterâ\200\231s 250-999
## 892 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
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## 895 Masterâ\200\231s 0-49
## 896 Bachelorâ\200\231s <NA>
## 897 Bachelorâ\200\231s <NA>
## 898 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 899 Bachelorâ\200\231s > 10,000
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## 902 Masterâ\200\231s <NA>
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## 911 Bachelorâ\200\231s 50-249
## 912 Masterâ\200\231s > 10,000
## 913 Bachelorâ\200\231s <NA>
## 914 Bachelorâ\200\231s > 10,000
## 915 Masterâ\200\231s 50-249
## 916 Doctoral > 10,000
## 917 Bachelorâ\200\231s 0-49
## 918 Bachelorâ\200\231s 0-49
## 919 Masterâ\200\231s 0-49
## 920 Professional <NA>
## 921 Bachelorâ\200\231s <NA>
## 922 Bachelorâ\200\231s <NA>
## 923 Bachelorâ\200\231s 250-999
## 924 Bachelorâ\200\231s <NA>
## 925 Bachelorâ\200\231s 50-249
## 926 Professional <NA>
## 927 Masterâ\200\231s <NA>
## 928 Masterâ\200\231s 0-49
## 929 Doctoral 0-49
## 930 Masterâ\200\231s 0-49
## 931 Bachelorâ\200\231s <NA>
## 932 Bachelorâ\200\231s <NA>
## 933 Bachelorâ\200\231s <NA>
## 934 Masterâ\200\231s 0-49
## 935 Doctoral 0-49
## 936 Masterâ\200\231s <NA>
## 937 Masterâ\200\231s 50-249
## 938 Doctoral 250-999
## 939 Bachelorâ\200\231s <NA>
## 940 Doctoral 1000-9,999
## 941 Bachelorâ\200\231s 250-999
## 942 Doctoral > 10,000
## 943 Doctoral 1000-9,999
## 944 Masterâ\200\231s 1000-9,999
## 945 Masterâ\200\231s 50-249
## 946 Doctoral 250-999
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## 951 Masterâ\200\231s > 10,000
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## 954 Masterâ\200\231s 250-999
## 955 Doctoral > 10,000
## 956 Doctoral 250-999
## 957 I prefer not to answer 50-249
## 958 Doctoral <NA>
## 959 Masterâ\200\231s <NA>
## 960 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 961 Masterâ\200\231s 0-49
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## 964 Masterâ\200\231s <NA>
## 965 Masterâ\200\231s 50-249
## 966 Masterâ\200\231s 250-999
## 967 Masterâ\200\231s 0-49
## 968 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 969 Bachelorâ\200\231s 0-49
## 970 Bachelorâ\200\231s 50-249
## 971 Masterâ\200\231s 0-49
## 972 No formal education past high school 0-49
## 973 Doctoral > 10,000
## 974 Masterâ\200\231s <NA>
## 975 Doctoral 250-999
## 976 Masterâ\200\231s 0-49
## 977 Masterâ\200\231s > 10,000
## 978 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 979 Bachelorâ\200\231s <NA>
## 980 Bachelorâ\200\231s <NA>
## 981 Masterâ\200\231s <NA>
## 982 Masterâ\200\231s 50-249
## 983 Masterâ\200\231s <NA>
## 984 Masterâ\200\231s 250-999
## 985 Bachelorâ\200\231s 250-999
## 986 Bachelorâ\200\231s <NA>
## 987 Masterâ\200\231s 50-249
## 988 Masterâ\200\231s > 10,000
## 989 Bachelorâ\200\231s 0-49
## 990 Professional 250-999
## 991 Doctoral 1000-9,999
## 992 Masterâ\200\231s 250-999
## 993 Masterâ\200\231s > 10,000
## 994 Masterâ\200\231s 1000-9,999
## 995 Bachelorâ\200\231s 0-49
## 996 Bachelorâ\200\231s 250-999
## 997 Masterâ\200\231s 0-49
## 998 Masterâ\200\231s <NA>
## 999 Masterâ\200\231s > 10,000
## 1000 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 1001 Masterâ\200\231s 1000-9,999
## 1002 Masterâ\200\231s 250-999
## 1003 Masterâ\200\231s <NA>
## 1004 Doctoral 50-249
## 1005 Bachelorâ\200\231s 250-999
## 1006 Masterâ\200\231s 1000-9,999
## 1007 Doctoral 0-49
## 1008 Masterâ\200\231s 50-249
## 1009 Masterâ\200\231s > 10,000
## 1010 Masterâ\200\231s <NA>
## 1011 Masterâ\200\231s 50-249
## 1012 Doctoral > 10,000
## 1013 Doctoral <NA>
## 1014 Masterâ\200\231s 1000-9,999
## 1015 Doctoral 0-49
## 1016 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 1017 Masterâ\200\231s 50-249
## 1018 Masterâ\200\231s 0-49
## 1019 Masterâ\200\231s 50-249
## 1020 Doctoral > 10,000
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## 1022 Doctoral > 10,000
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## 1028 Masterâ\200\231s 1000-9,999
## 1029 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
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## 1035 Bachelorâ\200\231s > 10,000
## 1036 Masterâ\200\231s 250-999
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## 1039 Doctoral 1000-9,999
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## 1041 Doctoral > 10,000
## 1042 Masterâ\200\231s 50-249
## 1043 Doctoral 0-49
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## 1054 Bachelorâ\200\231s 1000-9,999
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## 1056 Masterâ\200\231s 0-49
## 1057 Masterâ\200\231s 1000-9,999
## 1058 Masterâ\200\231s 50-249
## 1059 Masterâ\200\231s <NA>
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## 1061 Bachelorâ\200\231s > 10,000
## 1062 Masterâ\200\231s 250-999
## 1063 Masterâ\200\231s <NA>
## 1064 Bachelorâ\200\231s 50-249
## 1065 Masterâ\200\231s 0-49
## 1066 Bachelorâ\200\231s 50-249
## 1067 Doctoral <NA>
## 1068 Masterâ\200\231s 1000-9,999
## 1069 I prefer not to answer 0-49
## 1070 Doctoral 250-999
## 1071 Masterâ\200\231s > 10,000
## 1072 Masterâ\200\231s 250-999
## 1073 Masterâ\200\231s <NA>
## 1074 Professional 1000-9,999
## 1075 Bachelorâ\200\231s 0-49
## 1076 Bachelorâ\200\231s <NA>
## 1077 Bachelorâ\200\231s 250-999
## 1078 Bachelorâ\200\231s <NA>
## 1079 Masterâ\200\231s 1000-9,999
## 1080 Bachelorâ\200\231s 250-999
## 1081 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
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## 1085 Masterâ\200\231s 250-999
## 1086 No formal education past high school 50-249
## 1087 Masterâ\200\231s 1000-9,999
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## 1091 Bachelorâ\200\231s 0-49
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## 1093 Bachelorâ\200\231s 1000-9,999
## 1094 Masterâ\200\231s <NA>
## 1095 Masterâ\200\231s 1000-9,999
## 1096 Masterâ\200\231s 0-49
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## 1098 Masterâ\200\231s 250-999
## 1099 Bachelorâ\200\231s <NA>
## 1100 Masterâ\200\231s 1000-9,999
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## 1104 Doctoral 1000-9,999
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## 1109 Doctoral 1000-9,999
## 1110 Doctoral <NA>
## 1111 Masterâ\200\231s 1000-9,999
## 1112 Doctoral > 10,000
## 1113 Bachelorâ\200\231s 0-49
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## 1115 Masterâ\200\231s <NA>
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## 1119 Bachelorâ\200\231s 0-49
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## 1124 Masterâ\200\231s 1000-9,999
## 1125 Masterâ\200\231s 250-999
## 1126 Masterâ\200\231s 0-49
## 1127 Masterâ\200\231s 0-49
## 1128 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
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## 1139 Masterâ\200\231s 0-49
## 1140 Masterâ\200\231s 0-49
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## 1142 Masterâ\200\231s 0-49
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## 1144 Masterâ\200\231s > 10,000
## 1145 Bachelorâ\200\231s 0-49
## 1146 Masterâ\200\231s > 10,000
## 1147 Bachelorâ\200\231s <NA>
## 1148 Bachelorâ\200\231s <NA>
## 1149 Masterâ\200\231s 0-49
## 1150 Masterâ\200\231s 1000-9,999
## 1151 Masterâ\200\231s <NA>
## 1152 Masterâ\200\231s 1000-9,999
## 1153 Doctoral 0-49
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## 1155 Masterâ\200\231s 1000-9,999
## 1156 Masterâ\200\231s 0-49
## 1157 Bachelorâ\200\231s > 10,000
## 1158 Bachelorâ\200\231s 0-49
## 1159 Masterâ\200\231s > 10,000
## 1160 Masterâ\200\231s 250-999
## 1161 Masterâ\200\231s 50-249
## 1162 Bachelorâ\200\231s <NA>
## 1163 Bachelorâ\200\231s 0-49
## 1164 Masterâ\200\231s 1000-9,999
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## 1166 Doctoral <NA>
## 1167 Bachelorâ\200\231s <NA>
## 1168 Bachelorâ\200\231s <NA>
## 1169 Masterâ\200\231s <NA>
## 1170 Bachelorâ\200\231s <NA>
## 1171 Masterâ\200\231s 1000-9,999
## 1172 Masterâ\200\231s 1000-9,999
## 1173 Masterâ\200\231s 0-49
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## 1175 Doctoral 1000-9,999
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## 1178 Masterâ\200\231s 250-999
## 1179 I prefer not to answer 0-49
## 1180 Bachelorâ\200\231s > 10,000
## 1181 Professional 1000-9,999
## 1182 Masterâ\200\231s <NA>
## 1183 Bachelorâ\200\231s > 10,000
## 1184 Masterâ\200\231s <NA>
## 1185 I prefer not to answer 1000-9,999
## 1186 Bachelorâ\200\231s <NA>
## 1187 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 1188 Bachelorâ\200\231s <NA>
## 1189 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 1190 Doctoral > 10,000
## 1191 Doctoral 0-49
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## 1193 Masterâ\200\231s <NA>
## 1194 Bachelorâ\200\231s 0-49
## 1195 Masterâ\200\231s 0-49
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## 1197 Bachelorâ\200\231s > 10,000
## 1198 Masterâ\200\231s > 10,000
## 1199 Masterâ\200\231s 50-249
## 1200 Bachelorâ\200\231s > 10,000
## 1201 Doctoral 250-999
## 1202 Masterâ\200\231s 0-49
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## 1204 Masterâ\200\231s > 10,000
## 1205 Doctoral 250-999
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## 1207 Masterâ\200\231s <NA>
## 1208 Masterâ\200\231s 50-249
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## 1211 Masterâ\200\231s <NA>
## 1212 Masterâ\200\231s <NA>
## 1213 Bachelorâ\200\231s 50-249
## 1214 Doctoral <NA>
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## 1221 Masterâ\200\231s 1000-9,999
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## 1225 Doctoral 1000-9,999
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## 1227 Masterâ\200\231s 0-49
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## 1231 Bachelorâ\200\231s > 10,000
## 1232 Masterâ\200\231s 0-49
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## 1234 Doctoral 1000-9,999
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## 1237 Masterâ\200\231s 1000-9,999
## 1238 Doctoral 0-49
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## 1240 Masterâ\200\231s > 10,000
## 1241 I prefer not to answer 0-49
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## 1243 Bachelorâ\200\231s <NA>
## 1244 Masterâ\200\231s 250-999
## 1245 Masterâ\200\231s 1000-9,999
## 1246 Masterâ\200\231s 50-249
## 1247 Masterâ\200\231s 250-999
## 1248 Masterâ\200\231s 0-49
## 1249 Masterâ\200\231s > 10,000
## 1250 Masterâ\200\231s > 10,000
## 1251 Bachelorâ\200\231s <NA>
## 1252 Bachelorâ\200\231s <NA>
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## 1259 Masterâ\200\231s 0-49
## 1260 Masterâ\200\231s 50-249
## 1261 Masterâ\200\231s 50-249
## 1262 Masterâ\200\231s 0-49
## 1263 Masterâ\200\231s 0-49
## 1264 Masterâ\200\231s 50-249
## 1265 Masterâ\200\231s 0-49
## 1266 Doctoral 50-249
## 1267 Masterâ\200\231s 1000-9,999
## 1268 Doctoral 0-49
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## 1270 Bachelorâ\200\231s <NA>
## 1271 Masterâ\200\231s 50-249
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## 1273 Masterâ\200\231s <NA>
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## 1275 Masterâ\200\231s 0-49
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## 1277 Professional > 10,000
## 1278 Professional 0-49
## 1279 Masterâ\200\231s > 10,000
## 1280 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 1281 I prefer not to answer 0-49
## 1282 Professional 0-49
## 1283 Bachelorâ\200\231s 1000-9,999
## 1284 Doctoral 250-999
## 1285 Bachelorâ\200\231s > 10,000
## 1286 Doctoral 0-49
## 1287 Masterâ\200\231s <NA>
## 1288 Bachelorâ\200\231s <NA>
## 1289 Masterâ\200\231s 250-999
## 1290 Bachelorâ\200\231s > 10,000
## 1291 Masterâ\200\231s > 10,000
## 1292 Doctoral <NA>
## 1293 Professional 0-49
## 1294 Masterâ\200\231s 1000-9,999
## 1295 Doctoral > 10,000
## 1296 Masterâ\200\231s 50-249
## 1297 Doctoral 250-999
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## 1299 Doctoral 250-999
## 1300 Doctoral 1000-9,999
## 1301 Bachelorâ\200\231s 1000-9,999
## 1302 Bachelorâ\200\231s 0-49
## 1303 Bachelorâ\200\231s 0-49
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## 1308 Masterâ\200\231s 0-49
## 1309 Masterâ\200\231s 50-249
## 1310 Bachelorâ\200\231s <NA>
## 1311 Masterâ\200\231s > 10,000
## 1312 Masterâ\200\231s <NA>
## 1313 Masterâ\200\231s 1000-9,999
## 1314 Masterâ\200\231s > 10,000
## 1315 Doctoral <NA>
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## 1326 Doctoral 1000-9,999
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## 1329 Masterâ\200\231s > 10,000
## 1330 Masterâ\200\231s 1000-9,999
## 1331 Masterâ\200\231s <NA>
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## 1359 Masterâ\200\231s > 10,000
## 1360 Masterâ\200\231s > 10,000
## 1361 Doctoral 50-249
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## 1363 Doctoral > 10,000
## 1364 Bachelorâ\200\231s <NA>
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## 1368 Bachelorâ\200\231s 1000-9,999
## 1369 Bachelorâ\200\231s 0-49
## 1370 Bachelorâ\200\231s <NA>
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## 1374 Masterâ\200\231s > 10,000
## 1375 Bachelorâ\200\231s 250-999
## 1376 Masterâ\200\231s 0-49
## 1377 Masterâ\200\231s 1000-9,999
## 1378 Masterâ\200\231s > 10,000
## 1379 Bachelorâ\200\231s 250-999
## 1380 Doctoral 250-999
## 1381 No formal education past high school <NA>
## 1382 Masterâ\200\231s 50-249
## 1383 Masterâ\200\231s <NA>
## 1384 Doctoral > 10,000
## 1385 Masterâ\200\231s 1000-9,999
## 1386 Doctoral 1000-9,999
## 1387 Masterâ\200\231s 50-249
## 1388 Masterâ\200\231s 1000-9,999
## 1389 Masterâ\200\231s > 10,000
## 1390 Bachelorâ\200\231s > 10,000
## 1391 Masterâ\200\231s <NA>
## 1392 Bachelorâ\200\231s <NA>
## 1393 Bachelorâ\200\231s <NA>
## 1394 Masterâ\200\231s 1000-9,999
## 1395 Professional 1000-9,999
## 1396 Bachelorâ\200\231s <NA>
## 1397 Bachelorâ\200\231s 0-49
## 1398 Masterâ\200\231s 0-49
## 1399 Masterâ\200\231s <NA>
## 1400 Masterâ\200\231s <NA>
## 1401 Doctoral 1000-9,999
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## 1403 Masterâ\200\231s 0-49
## 1404 Bachelorâ\200\231s 50-249
## 1405 Bachelorâ\200\231s <NA>
## 1406 Masterâ\200\231s 1000-9,999
## 1407 Bachelorâ\200\231s 0-49
## 1408 Masterâ\200\231s <NA>
## 1409 Professional 1000-9,999
## 1410 Doctoral 250-999
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## 1412 Bachelorâ\200\231s <NA>
## 1413 Masterâ\200\231s 0-49
## 1414 Masterâ\200\231s 250-999
## 1415 Masterâ\200\231s 250-999
## 1416 Bachelorâ\200\231s > 10,000
## 1417 Masterâ\200\231s 1000-9,999
## 1418 Masterâ\200\231s 50-249
## 1419 Doctoral > 10,000
## 1420 Doctoral 0-49
## 1421 Doctoral 0-49
## 1422 Masterâ\200\231s > 10,000
## 1423 No formal education past high school > 10,000
## 1424 Doctoral > 10,000
## 1425 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 1426 Masterâ\200\231s <NA>
## 1427 Doctoral 0-49
## 1428 Masterâ\200\231s 0-49
## 1429 Professional <NA>
## 1430 Doctoral 0-49
## 1431 Masterâ\200\231s 1000-9,999
## 1432 Masterâ\200\231s > 10,000
## 1433 Masterâ\200\231s 1000-9,999
## 1434 Masterâ\200\231s 0-49
## 1435 I prefer not to answer <NA>
## 1436 Masterâ\200\231s > 10,000
## 1437 Doctoral 50-249
## 1438 Masterâ\200\231s <NA>
## 1439 Bachelorâ\200\231s <NA>
## 1440 Masterâ\200\231s > 10,000
## 1441 Masterâ\200\231s <NA>
## 1442 Masterâ\200\231s 50-249
## 1443 Bachelorâ\200\231s 50-249
## 1444 Bachelorâ\200\231s > 10,000
## 1445 Bachelorâ\200\231s <NA>
## 1446 Bachelorâ\200\231s <NA>
## 1447 Masterâ\200\231s 1000-9,999
## 1448 Bachelorâ\200\231s 250-999
## 1449 Masterâ\200\231s > 10,000
## 1450 Bachelorâ\200\231s 50-249
## 1451 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 1452 Masterâ\200\231s > 10,000
## 1453 Doctoral > 10,000
## 1454 Masterâ\200\231s > 10,000
## 1455 Masterâ\200\231s 1000-9,999
## 1456 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 1457 Masterâ\200\231s <NA>
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## 1459 Bachelorâ\200\231s 0-49
## 1460 Bachelorâ\200\231s 1000-9,999
## 1461 Bachelorâ\200\231s 50-249
## 1462 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 1463 Masterâ\200\231s <NA>
## 1464 Doctoral > 10,000
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## 1467 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 1468 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 1469 Masterâ\200\231s 1000-9,999
## 1470 Bachelorâ\200\231s 250-999
## 1471 Masterâ\200\231s > 10,000
## 1472 Bachelorâ\200\231s 1000-9,999
## 1473 Masterâ\200\231s 0-49
## 1474 Bachelorâ\200\231s 50-249
## 1475 Bachelorâ\200\231s 0-49
## 1476 Masterâ\200\231s > 10,000
## 1477 Masterâ\200\231s <NA>
## 1478 Masterâ\200\231s 250-999
## 1479 Masterâ\200\231s 50-249
## 1480 Masterâ\200\231s > 10,000
## 1481 Masterâ\200\231s 1000-9,999
## 1482 Masterâ\200\231s 250-999
## 1483 Doctoral 1000-9,999
## 1484 Masterâ\200\231s <NA>
## 1485 Professional > 10,000
## 1486 Masterâ\200\231s 50-249
## 1487 Bachelorâ\200\231s 0-49
## 1488 Bachelorâ\200\231s <NA>
## 1489 Masterâ\200\231s 50-249
## 1490 Doctoral 1000-9,999
## 1491 Masterâ\200\231s <NA>
## 1492 Bachelorâ\200\231s 50-249
## 1493 Masterâ\200\231s 250-999
## 1494 Masterâ\200\231s > 10,000
## 1495 Bachelorâ\200\231s 0-49
## 1496 Masterâ\200\231s <NA>
## 1497 Masterâ\200\231s <NA>
## 1498 Masterâ\200\231s <NA>
## 1499 Doctoral 1000-9,999
## 1500 Masterâ\200\231s <NA>
## 1501 Bachelorâ\200\231s <NA>
## 1502 Masterâ\200\231s 250-999
## 1503 Doctoral 250-999
## 1504 Professional 0-49
## 1505 Bachelorâ\200\231s <NA>
## 1506 Masterâ\200\231s 250-999
## 1507 Masterâ\200\231s > 10,000
## 1508 Masterâ\200\231s 50-249
## 1509 Doctoral 50-249
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## 1512 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 1513 Bachelorâ\200\231s 0-49
## 1514 Doctoral 0-49
## 1515 Doctoral 0-49
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## 1517 Doctoral 250-999
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## 1519 Masterâ\200\231s 50-249
## 1520 Bachelorâ\200\231s 50-249
## 1521 Masterâ\200\231s 0-49
## 1522 Doctoral > 10,000
## 1523 Doctoral 1000-9,999
## 1524 Masterâ\200\231s > 10,000
## 1525 Masterâ\200\231s > 10,000
## 1526 Bachelorâ\200\231s 250-999
## 1527 Masterâ\200\231s > 10,000
## 1528 Masterâ\200\231s > 10,000
## 1529 Bachelorâ\200\231s <NA>
## 1530 Bachelorâ\200\231s 250-999
## 1531 Bachelorâ\200\231s 250-999
## 1532 Masterâ\200\231s 0-49
## 1533 Doctoral 1000-9,999
## 1534 Masterâ\200\231s 50-249
## 1535 Masterâ\200\231s > 10,000
## 1536 Bachelorâ\200\231s 50-249
## 1537 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 1538 Bachelorâ\200\231s <NA>
## 1539 Doctoral 1000-9,999
## 1540 Bachelorâ\200\231s 250-999
## 1541 No formal education past high school 1000-9,999
## 1542 Masterâ\200\231s 50-249
## 1543 Bachelorâ\200\231s 1000-9,999
## 1544 Masterâ\200\231s 1000-9,999
## 1545 Doctoral > 10,000
## 1546 Masterâ\200\231s <NA>
## 1547 Masterâ\200\231s 0-49
## 1548 Masterâ\200\231s 1000-9,999
## 1549 Bachelorâ\200\231s <NA>
## 1550 Masterâ\200\231s 250-999
## 1551 Masterâ\200\231s 250-999
## 1552 Masterâ\200\231s <NA>
## 1553 Bachelorâ\200\231s <NA>
## 1554 Masterâ\200\231s <NA>
## 1555 Masterâ\200\231s 0-49
## 1556 Doctoral 50-249
## 1557 Bachelorâ\200\231s 1000-9,999
## 1558 Masterâ\200\231s 1000-9,999
## 1559 Masterâ\200\231s > 10,000
## 1560 Masterâ\200\231s > 10,000
## 1561 Masterâ\200\231s 250-999
## 1562 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 1563 Doctoral > 10,000
## 1564 Masterâ\200\231s > 10,000
## 1565 Bachelorâ\200\231s 1000-9,999
## 1566 Masterâ\200\231s <NA>
## 1567 Masterâ\200\231s 1000-9,999
## 1568 Doctoral <NA>
## 1569 Masterâ\200\231s 50-249
## 1570 Bachelorâ\200\231s 1000-9,999
## 1571 Doctoral 0-49
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## 1593 I prefer not to answer 0-49
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## 1629 Masterâ\200\231s > 10,000
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## 1631 Masterâ\200\231s 250-999
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## 1634 Masterâ\200\231s 50-249
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## 1979 Masterâ\200\231s <NA>
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## 1982 Masterâ\200\231s <NA>
## 1983 Doctoral <NA>
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## 1996 Masterâ\200\231s <NA>
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## 2009 Bachelorâ\200\231s <NA>
## 2010 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 2011 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
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## 2137 Bachelorâ\200\231s 0-49
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## 2142 Bachelorâ\200\231s <NA>
## 2143 Masterâ\200\231s 0-49
## 2144 Bachelorâ\200\231s 0-49
## 2145 Bachelorâ\200\231s <NA>
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## 2148 Masterâ\200\231s 250-999
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## 2150 Masterâ\200\231s <NA>
## 2151 Bachelorâ\200\231s 50-249
## 2152 Masterâ\200\231s 1000-9,999
## 2153 Masterâ\200\231s 1000-9,999
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## 2155 Bachelorâ\200\231s 50-249
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## 2157 Masterâ\200\231s <NA>
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## 2159 Bachelorâ\200\231s 50-249
## 2160 Masterâ\200\231s 250-999
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## 2162 Bachelorâ\200\231s > 10,000
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## 2164 Doctoral 0-49
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## 2169 Professional > 10,000
## 2170 Masterâ\200\231s 0-49
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## 2172 Masterâ\200\231s 250-999
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## 2174 Doctoral <NA>
## 2175 Masterâ\200\231s 0-49
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## 2181 Masterâ\200\231s 1000-9,999
## 2182 Masterâ\200\231s 50-249
## 2183 Masterâ\200\231s 50-249
## 2184 Masterâ\200\231s <NA>
## 2185 Masterâ\200\231s 50-249
## 2186 Bachelorâ\200\231s 250-999
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## 2201 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
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## 2208 Masterâ\200\231s > 10,000
## 2209 Masterâ\200\231s 250-999
## 2210 Masterâ\200\231s 50-249
## 2211 Bachelorâ\200\231s 50-249
## 2212 Masterâ\200\231s 1000-9,999
## 2213 Masterâ\200\231s 1000-9,999
## 2214 I prefer not to answer 0-49
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## 2217 Masterâ\200\231s > 10,000
## 2218 Masterâ\200\231s 50-249
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## 2220 Masterâ\200\231s 0-49
## 2221 Masterâ\200\231s 50-249
## 2222 Masterâ\200\231s 1000-9,999
## 2223 Bachelorâ\200\231s 50-249
## 2224 Bachelorâ\200\231s > 10,000
## 2225 Masterâ\200\231s > 10,000
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## 2232 Bachelorâ\200\231s <NA>
## 2233 Bachelorâ\200\231s 0-49
## 2234 Bachelorâ\200\231s <NA>
## 2235 I prefer not to answer <NA>
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## 2238 Masterâ\200\231s 1000-9,999
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## 2240 Bachelorâ\200\231s <NA>
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## 2244 Masterâ\200\231s > 10,000
## 2245 Masterâ\200\231s 250-999
## 2246 Bachelorâ\200\231s 0-49
## 2247 Masterâ\200\231s > 10,000
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## 2249 Masterâ\200\231s 0-49
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## 2254 Masterâ\200\231s 1000-9,999
## 2255 Bachelorâ\200\231s 1000-9,999
## 2256 Bachelorâ\200\231s 1000-9,999
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## 2258 Masterâ\200\231s 1000-9,999
## 2259 Masterâ\200\231s 1000-9,999
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## 2261 Doctoral 1000-9,999
## 2262 Doctoral 1000-9,999
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## 2266 Bachelorâ\200\231s <NA>
## 2267 Bachelorâ\200\231s 250-999
## 2268 Bachelorâ\200\231s <NA>
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## 2270 Masterâ\200\231s 0-49
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## 2288 Bachelorâ\200\231s 250-999
## 2289 Masterâ\200\231s > 10,000
## 2290 Masterâ\200\231s 250-999
## 2291 Bachelorâ\200\231s > 10,000
## 2292 Doctoral > 10,000
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## 2294 Bachelorâ\200\231s 50-249
## 2295 Masterâ\200\231s 1000-9,999
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## 2299 I prefer not to answer 0-49
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## 2304 Masterâ\200\231s 0-49
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## 2306 Bachelorâ\200\231s > 10,000
## 2307 Masterâ\200\231s > 10,000
## 2308 Bachelorâ\200\231s > 10,000
## 2309 Masterâ\200\231s > 10,000
## 2310 Masterâ\200\231s <NA>
## 2311 Masterâ\200\231s 1000-9,999
## 2312 Bachelorâ\200\231s <NA>
## 2313 Bachelorâ\200\231s 1000-9,999
## 2314 Bachelorâ\200\231s 250-999
## 2315 Masterâ\200\231s > 10,000
## 2316 I prefer not to answer 50-249
## 2317 Bachelorâ\200\231s 50-249
## 2318 Masterâ\200\231s 0-49
## 2319 Bachelorâ\200\231s <NA>
## 2320 Bachelorâ\200\231s <NA>
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## 2322 Masterâ\200\231s 0-49
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## 2326 Bachelorâ\200\231s 1000-9,999
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## 2328 Bachelorâ\200\231s 50-249
## 2329 Bachelorâ\200\231s > 10,000
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## 2334 Masterâ\200\231s 50-249
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## 2339 Doctoral 1000-9,999
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## 2345 Bachelorâ\200\231s <NA>
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## 2349 Masterâ\200\231s > 10,000
## 2350 Bachelorâ\200\231s <NA>
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## 2355 Masterâ\200\231s 1000-9,999
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## 2364 Bachelorâ\200\231s 0-49
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## 2369 Bachelorâ\200\231s 250-999
## 2370 Bachelorâ\200\231s 50-249
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## 2375 Bachelorâ\200\231s 0-49
## 2376 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 2377 Masterâ\200\231s 0-49
## 2378 Masterâ\200\231s 50-249
## 2379 Masterâ\200\231s 1000-9,999
## 2380 Masterâ\200\231s <NA>
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## 2388 Masterâ\200\231s <NA>
## 2389 Masterâ\200\231s 1000-9,999
## 2390 Bachelorâ\200\231s <NA>
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## 2395 Bachelorâ\200\231s 1000-9,999
## 2396 Masterâ\200\231s 1000-9,999
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## 2402 Masterâ\200\231s > 10,000
## 2403 Masterâ\200\231s <NA>
## 2404 Masterâ\200\231s > 10,000
## 2405 Doctoral <NA>
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## 2409 Doctoral <NA>
## 2410 Doctoral 250-999
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## 2414 Masterâ\200\231s 0-49
## 2415 Bachelorâ\200\231s 1000-9,999
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## 2417 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 2418 Masterâ\200\231s > 10,000
## 2419 Masterâ\200\231s <NA>
## 2420 I prefer not to answer <NA>
## 2421 Bachelorâ\200\231s <NA>
## 2422 Bachelorâ\200\231s <NA>
## 2423 Doctoral 250-999
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## 2429 Masterâ\200\231s > 10,000
## 2430 Masterâ\200\231s 1000-9,999
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## 2435 Masterâ\200\231s 1000-9,999
## 2436 Masterâ\200\231s 1000-9,999
## 2437 Masterâ\200\231s 1000-9,999
## 2438 Bachelorâ\200\231s 0-49
## 2439 Bachelorâ\200\231s 0-49
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## 2460 Doctoral > 10,000
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## 2464 Masterâ\200\231s 1000-9,999
## 2465 Masterâ\200\231s 250-999
## 2466 Masterâ\200\231s 1000-9,999
## 2467 Bachelorâ\200\231s <NA>
## 2468 Masterâ\200\231s > 10,000
## 2469 Masterâ\200\231s 250-999
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## 2471 Bachelorâ\200\231s 0-49
## 2472 Bachelorâ\200\231s <NA>
## 2473 Bachelorâ\200\231s > 10,000
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## 2478 Masterâ\200\231s <NA>
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## 2480 Masterâ\200\231s 1000-9,999
## 2481 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
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## 2488 Bachelorâ\200\231s <NA>
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## 2491 Masterâ\200\231s 0-49
## 2492 Bachelorâ\200\231s > 10,000
## 2493 Masterâ\200\231s 1000-9,999
## 2494 Bachelorâ\200\231s > 10,000
## 2495 Masterâ\200\231s 1000-9,999
## 2496 Doctoral > 10,000
## 2497 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
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## 2501 Masterâ\200\231s 0-49
## 2502 Bachelorâ\200\231s 0-49
## 2503 Bachelorâ\200\231s <NA>
## 2504 Bachelorâ\200\231s > 10,000
## 2505 Bachelorâ\200\231s > 10,000
## 2506 Bachelorâ\200\231s <NA>
## 2507 Doctoral 1000-9,999
## 2508 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 2509 Masterâ\200\231s 250-999
## 2510 Masterâ\200\231s > 10,000
## 2511 Bachelorâ\200\231s <NA>
## 2512 Bachelorâ\200\231s 50-249
## 2513 Doctoral 50-249
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## 2515 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 2516 Masterâ\200\231s <NA>
## 2517 Bachelorâ\200\231s 250-999
## 2518 Bachelorâ\200\231s 1000-9,999
## 2519 Doctoral 1000-9,999
## 2520 Masterâ\200\231s <NA>
## 2521 Masterâ\200\231s 0-49
## 2522 Bachelorâ\200\231s 0-49
## 2523 Bachelorâ\200\231s > 10,000
## 2524 Bachelorâ\200\231s 0-49
## 2525 Masterâ\200\231s 0-49
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## 2527 Masterâ\200\231s > 10,000
## 2528 Doctoral 0-49
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## 2530 Doctoral > 10,000
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## 2534 Masterâ\200\231s 50-249
## 2535 Bachelorâ\200\231s 0-49
## 2536 Masterâ\200\231s 1000-9,999
## 2537 Masterâ\200\231s > 10,000
## 2538 Bachelorâ\200\231s <NA>
## 2539 Bachelorâ\200\231s <NA>
## 2540 Bachelorâ\200\231s <NA>
## 2541 Masterâ\200\231s 250-999
## 2542 Masterâ\200\231s <NA>
## 2543 Bachelorâ\200\231s <NA>
## 2544 Bachelorâ\200\231s 0-49
## 2545 Masterâ\200\231s > 10,000
## 2546 Professional 50-249
## 2547 Masterâ\200\231s > 10,000
## 2548 Masterâ\200\231s 1000-9,999
## 2549 Masterâ\200\231s <NA>
## 2550 Masterâ\200\231s > 10,000
## 2551 Masterâ\200\231s > 10,000
## 2552 Masterâ\200\231s 1000-9,999
## 2553 Bachelorâ\200\231s > 10,000
## 2554 Masterâ\200\231s 250-999
## 2555 Masterâ\200\231s 50-249
## 2556 Masterâ\200\231s > 10,000
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## 2559 Doctoral 50-249
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## 2561 Masterâ\200\231s 0-49
## 2562 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
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## 2566 Masterâ\200\231s 250-999
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## 2568 Bachelorâ\200\231s 250-999
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## 2571 Masterâ\200\231s > 10,000
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## 2574 No formal education past high school 0-49
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## 2576 Bachelorâ\200\231s 1000-9,999
## 2577 Masterâ\200\231s 1000-9,999
## 2578 Bachelorâ\200\231s > 10,000
## 2579 Masterâ\200\231s 1000-9,999
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## 2585 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 2586 I prefer not to answer > 10,000
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## 2588 Masterâ\200\231s 250-999
## 2589 Masterâ\200\231s 1000-9,999
## 2590 Masterâ\200\231s 50-249
## 2591 Bachelorâ\200\231s > 10,000
## 2592 Doctoral 1000-9,999
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## 2594 Masterâ\200\231s <NA>
## 2595 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 2596 Masterâ\200\231s > 10,000
## 2597 Bachelorâ\200\231s <NA>
## 2598 Bachelorâ\200\231s <NA>
## 2599 Masterâ\200\231s 1000-9,999
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## 2601 Masterâ\200\231s 50-249
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## 2605 Doctoral > 10,000
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## 2607 Masterâ\200\231s > 10,000
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## 2609 Bachelorâ\200\231s <NA>
## 2610 Masterâ\200\231s <NA>
## 2611 Masterâ\200\231s <NA>
## 2612 Masterâ\200\231s 0-49
## 2613 Bachelorâ\200\231s <NA>
## 2614 Bachelorâ\200\231s <NA>
## 2615 Doctoral 0-49
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## 2617 Bachelorâ\200\231s 50-249
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## 2624 Masterâ\200\231s <NA>
## 2625 Masterâ\200\231s 250-999
## 2626 Bachelorâ\200\231s 50-249
## 2627 Doctoral 1000-9,999
## 2628 Masterâ\200\231s 1000-9,999
## 2629 Masterâ\200\231s <NA>
## 2630 Bachelorâ\200\231s 1000-9,999
## 2631 Bachelorâ\200\231s 250-999
## 2632 Bachelorâ\200\231s <NA>
## 2633 Bachelorâ\200\231s > 10,000
## 2634 Bachelorâ\200\231s <NA>
## 2635 Masterâ\200\231s 1000-9,999
## 2636 Doctoral 1000-9,999
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## 2639 Masterâ\200\231s 50-249
## 2640 No formal education past high school 50-249
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## 2645 Doctoral 1000-9,999
## 2646 Masterâ\200\231s 1000-9,999
## 2647 Bachelorâ\200\231s <NA>
## 2648 Masterâ\200\231s > 10,000
## 2649 Bachelorâ\200\231s 1000-9,999
## 2650 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
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## 2654 Masterâ\200\231s > 10,000
## 2655 Masterâ\200\231s 50-249
## 2656 Masterâ\200\231s 1000-9,999
## 2657 Doctoral 50-249
## 2658 Bachelorâ\200\231s <NA>
## 2659 Doctoral 250-999
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## 2663 Masterâ\200\231s <NA>
## 2664 No formal education past high school 1000-9,999
## 2665 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
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## 2667 Professional 50-249
## 2668 Doctoral 50-249
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## 2671 Bachelorâ\200\231s 50-249
## 2672 Masterâ\200\231s 250-999
## 2673 Bachelorâ\200\231s <NA>
## 2674 Bachelorâ\200\231s 50-249
## 2675 Masterâ\200\231s <NA>
## 2676 Bachelorâ\200\231s 50-249
## 2677 Masterâ\200\231s <NA>
## 2678 Doctoral <NA>
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## 2681 Bachelorâ\200\231s <NA>
## 2682 Masterâ\200\231s 1000-9,999
## 2683 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 2684 Doctoral > 10,000
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## 2687 Bachelorâ\200\231s > 10,000
## 2688 Bachelorâ\200\231s 1000-9,999
## 2689 Doctoral 50-249
## 2690 Professional 1000-9,999
## 2691 Bachelorâ\200\231s 0-49
## 2692 Masterâ\200\231s 50-249
## 2693 Doctoral <NA>
## 2694 Masterâ\200\231s 0-49
## 2695 Bachelorâ\200\231s 50-249
## 2696 Bachelorâ\200\231s 1000-9,999
## 2697 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 2698 Masterâ\200\231s 250-999
## 2699 Masterâ\200\231s <NA>
## 2700 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 2701 Bachelorâ\200\231s <NA>
## 2702 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 2703 Bachelorâ\200\231s <NA>
## 2704 Masterâ\200\231s 250-999
## 2705 Bachelorâ\200\231s 250-999
## 2706 Doctoral 1000-9,999
## 2707 Masterâ\200\231s 0-49
## 2708 Masterâ\200\231s <NA>
## 2709 Professional > 10,000
## 2710 Professional 50-249
## 2711 Bachelorâ\200\231s 250-999
## 2712 Bachelorâ\200\231s 0-49
## 2713 Masterâ\200\231s 50-249
## 2714 Bachelorâ\200\231s 250-999
## 2715 Doctoral 1000-9,999
## 2716 Bachelorâ\200\231s <NA>
## 2717 Bachelorâ\200\231s <NA>
## 2718 Bachelorâ\200\231s 250-999
## 2719 Masterâ\200\231s 0-49
## 2720 Bachelorâ\200\231s <NA>
## 2721 Doctoral 250-999
## 2722 Masterâ\200\231s > 10,000
## 2723 Doctoral 250-999
## 2724 Masterâ\200\231s 250-999
## 2725 Masterâ\200\231s 250-999
## 2726 Doctoral 50-249
## 2727 Masterâ\200\231s 1000-9,999
## 2728 Masterâ\200\231s 250-999
## 2729 Bachelorâ\200\231s <NA>
## 2730 I prefer not to answer <NA>
## 2731 Masterâ\200\231s 1000-9,999
## 2732 Masterâ\200\231s 50-249
## 2733 Masterâ\200\231s 50-249
## 2734 Masterâ\200\231s <NA>
## 2735 Bachelorâ\200\231s > 10,000
## 2736 Masterâ\200\231s > 10,000
## 2737 Doctoral 0-49
## 2738 Doctoral <NA>
## 2739 I prefer not to answer 0-49
## 2740 Masterâ\200\231s 50-249
## 2741 Bachelorâ\200\231s > 10,000
## 2742 Masterâ\200\231s > 10,000
## 2743 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 2744 Masterâ\200\231s > 10,000
## 2745 Masterâ\200\231s > 10,000
## 2746 Masterâ\200\231s 1000-9,999
## 2747 Masterâ\200\231s > 10,000
## 2748 Professional <NA>
## 2749 Masterâ\200\231s 1000-9,999
## 2750 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 2751 Bachelorâ\200\231s 1000-9,999
## 2752 Bachelorâ\200\231s 0-49
## 2753 Bachelorâ\200\231s 250-999
## 2754 Bachelorâ\200\231s > 10,000
## 2755 Bachelorâ\200\231s 250-999
## 2756 Masterâ\200\231s 250-999
## 2757 Masterâ\200\231s 0-49
## 2758 Masterâ\200\231s 0-49
## 2759 Bachelorâ\200\231s 0-49
## 2760 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 2761 Masterâ\200\231s 250-999
## 2762 Doctoral > 10,000
## 2763 Professional <NA>
## 2764 Bachelorâ\200\231s <NA>
## 2765 Masterâ\200\231s 50-249
## 2766 Bachelorâ\200\231s > 10,000
## 2767 Bachelorâ\200\231s 50-249
## 2768 Bachelorâ\200\231s 0-49
## 2769 Masterâ\200\231s 50-249
## 2770 Masterâ\200\231s 1000-9,999
## 2771 Bachelorâ\200\231s <NA>
## 2772 Masterâ\200\231s 1000-9,999
## 2773 Doctoral > 10,000
## 2774 Masterâ\200\231s <NA>
## 2775 I prefer not to answer 1000-9,999
## 2776 Bachelorâ\200\231s 1000-9,999
## 2777 Masterâ\200\231s <NA>
## 2778 Doctoral <NA>
## 2779 Bachelorâ\200\231s <NA>
## 2780 Bachelorâ\200\231s 1000-9,999
## 2781 Masterâ\200\231s 250-999
## 2782 Masterâ\200\231s 1000-9,999
## 2783 Bachelorâ\200\231s <NA>
## 2784 Masterâ\200\231s 250-999
## 2785 Bachelorâ\200\231s 0-49
## 2786 Doctoral 0-49
## 2787 Masterâ\200\231s 0-49
## 2788 Bachelorâ\200\231s 1000-9,999
## 2789 Bachelorâ\200\231s <NA>
## 2790 Doctoral > 10,000
## 2791 Masterâ\200\231s 0-49
## 2792 Masterâ\200\231s 1000-9,999
## 2793 Masterâ\200\231s 0-49
## 2794 Bachelorâ\200\231s <NA>
## 2795 Professional <NA>
## 2796 Masterâ\200\231s 250-999
## 2797 Masterâ\200\231s 0-49
## 2798 Doctoral > 10,000
## 2799 Professional 250-999
## 2800 Bachelorâ\200\231s 0-49
## 2801 Doctoral 0-49
## 2802 Masterâ\200\231s 50-249
## 2803 Doctoral > 10,000
## 2804 Masterâ\200\231s 0-49
## 2805 Doctoral 0-49
## 2806 Bachelorâ\200\231s > 10,000
## 2807 Bachelorâ\200\231s 0-49
## 2808 Bachelorâ\200\231s <NA>
## 2809 Bachelorâ\200\231s > 10,000
## 2810 Bachelorâ\200\231s <NA>
## 2811 Bachelorâ\200\231s > 10,000
## 2812 Bachelorâ\200\231s 0-49
## 2813 Masterâ\200\231s 50-249
## 2814 Doctoral 250-999
## 2815 Masterâ\200\231s <NA>
## 2816 No formal education past high school 50-249
## 2817 Masterâ\200\231s 1000-9,999
## 2818 Professional 250-999
## 2819 No formal education past high school 0-49
## 2820 Masterâ\200\231s 0-49
## 2821 Masterâ\200\231s 1000-9,999
## 2822 Bachelorâ\200\231s <NA>
## 2823 I prefer not to answer <NA>
## 2824 Bachelorâ\200\231s 0-49
## 2825 Doctoral 250-999
## 2826 Masterâ\200\231s 0-49
## 2827 Bachelorâ\200\231s <NA>
## 2828 Masterâ\200\231s <NA>
## 2829 Professional > 10,000
## 2830 Bachelorâ\200\231s 50-249
## 2831 Bachelorâ\200\231s <NA>
## 2832 Bachelorâ\200\231s 250-999
## 2833 Masterâ\200\231s 1000-9,999
## 2834 Bachelorâ\200\231s > 10,000
## 2835 Professional <NA>
## 2836 Bachelorâ\200\231s 0-49
## 2837 Bachelorâ\200\231s > 10,000
## 2838 Bachelorâ\200\231s <NA>
## 2839 Masterâ\200\231s 0-49
## 2840 Bachelorâ\200\231s <NA>
## 2841 Doctoral 50-249
## 2842 Masterâ\200\231s 250-999
## 2843 Bachelorâ\200\231s 0-49
## 2844 Masterâ\200\231s 1000-9,999
## 2845 Bachelorâ\200\231s <NA>
## 2846 Doctoral 250-999
## 2847 Masterâ\200\231s > 10,000
## 2848 Bachelorâ\200\231s <NA>
## 2849 Doctoral 50-249
## 2850 Masterâ\200\231s 1000-9,999
## 2851 Bachelorâ\200\231s 0-49
## 2852 Bachelorâ\200\231s <NA>
## 2853 Professional 1000-9,999
## 2854 Masterâ\200\231s 0-49
## 2855 Professional <NA>
## 2856 Masterâ\200\231s 1000-9,999
## 2857 Masterâ\200\231s 0-49
## 2858 Bachelorâ\200\231s 0-49
## 2859 Bachelorâ\200\231s <NA>
## 2860 Bachelorâ\200\231s <NA>
## 2861 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 2862 Bachelorâ\200\231s 1000-9,999
## 2863 Masterâ\200\231s 250-999
## 2864 Bachelorâ\200\231s 1000-9,999
## 2865 Bachelorâ\200\231s 1000-9,999
## 2866 Masterâ\200\231s <NA>
## 2867 Masterâ\200\231s 0-49
## 2868 Masterâ\200\231s > 10,000
## 2869 Masterâ\200\231s 250-999
## 2870 Bachelorâ\200\231s <NA>
## 2871 I prefer not to answer 0-49
## 2872 Doctoral > 10,000
## 2873 Masterâ\200\231s <NA>
## 2874 Bachelorâ\200\231s <NA>
## 2875 Bachelorâ\200\231s 250-999
## 2876 Masterâ\200\231s 0-49
## 2877 Bachelorâ\200\231s 250-999
## 2878 Masterâ\200\231s 1000-9,999
## 2879 Professional > 10,000
## 2880 Bachelorâ\200\231s 0-49
## 2881 Masterâ\200\231s 0-49
## 2882 Masterâ\200\231s > 10,000
## 2883 I prefer not to answer <NA>
## 2884 Bachelorâ\200\231s <NA>
## 2885 Masterâ\200\231s > 10,000
## 2886 Bachelorâ\200\231s 1000-9,999
## 2887 Bachelorâ\200\231s 0-49
## 2888 Masterâ\200\231s 1000-9,999
## 2889 Doctoral 1000-9,999
## 2890 Masterâ\200\231s > 10,000
## 2891 Bachelorâ\200\231s 50-249
## 2892 Masterâ\200\231s 250-999
## 2893 Bachelorâ\200\231s 50-249
## 2894 Bachelorâ\200\231s 250-999
## 2895 Masterâ\200\231s 0-49
## 2896 Masterâ\200\231s <NA>
## 2897 Masterâ\200\231s 250-999
## 2898 Masterâ\200\231s > 10,000
## 2899 Doctoral <NA>
## 2900 Bachelorâ\200\231s <NA>
## 2901 Masterâ\200\231s <NA>
## 2902 Masterâ\200\231s <NA>
## 2903 Masterâ\200\231s <NA>
## 2904 Professional <NA>
## 2905 Masterâ\200\231s 0-49
## 2906 Doctoral 1000-9,999
## 2907 Masterâ\200\231s > 10,000
## 2908 Masterâ\200\231s 0-49
## 2909 Bachelorâ\200\231s 0-49
## 2910 Doctoral 250-999
## 2911 Doctoral <NA>
## 2912 Masterâ\200\231s > 10,000
## 2913 Doctoral 250-999
## 2914 Masterâ\200\231s > 10,000
## 2915 Masterâ\200\231s <NA>
## 2916 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 2917 Masterâ\200\231s > 10,000
## 2918 Doctoral 0-49
## 2919 Masterâ\200\231s > 10,000
## 2920 Doctoral <NA>
## 2921 Masterâ\200\231s 1000-9,999
## 2922 Doctoral 50-249
## 2923 Professional 1000-9,999
## 2924 Doctoral 50-249
## 2925 Masterâ\200\231s > 10,000
## 2926 Bachelorâ\200\231s <NA>
## 2927 Bachelorâ\200\231s <NA>
## 2928 Bachelorâ\200\231s <NA>
## 2929 Bachelorâ\200\231s > 10,000
## 2930 Doctoral 50-249
## 2931 Bachelorâ\200\231s <NA>
## 2932 Bachelorâ\200\231s 1000-9,999
## 2933 Bachelorâ\200\231s <NA>
## 2934 Masterâ\200\231s 250-999
## 2935 Masterâ\200\231s <NA>
## 2936 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 2937 Bachelorâ\200\231s <NA>
## 2938 Professional > 10,000
## 2939 Bachelorâ\200\231s 1000-9,999
## 2940 Masterâ\200\231s 50-249
## 2941 Masterâ\200\231s 0-49
## 2942 Masterâ\200\231s > 10,000
## 2943 Bachelorâ\200\231s <NA>
## 2944 Masterâ\200\231s 250-999
## 2945 Masterâ\200\231s 1000-9,999
## 2946 Bachelorâ\200\231s <NA>
## 2947 Bachelorâ\200\231s <NA>
## 2948 Masterâ\200\231s > 10,000
## 2949 Bachelorâ\200\231s <NA>
## 2950 Masterâ\200\231s <NA>
## 2951 Bachelorâ\200\231s <NA>
## 2952 Masterâ\200\231s 1000-9,999
## 2953 Masterâ\200\231s <NA>
## 2954 Masterâ\200\231s <NA>
## 2955 Bachelorâ\200\231s 50-249
## 2956 Professional 0-49
## 2957 Professional 0-49
## 2958 Doctoral 250-999
## 2959 Masterâ\200\231s 50-249
## 2960 Masterâ\200\231s 0-49
## 2961 Doctoral 0-49
## 2962 Doctoral 0-49
## 2963 Masterâ\200\231s 50-249
## 2964 Bachelorâ\200\231s 1000-9,999
## 2965 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 2966 Bachelorâ\200\231s 0-49
## 2967 Bachelorâ\200\231s <NA>
## 2968 Masterâ\200\231s 1000-9,999
## 2969 Bachelorâ\200\231s <NA>
## 2970 Bachelorâ\200\231s 1000-9,999
## 2971 Masterâ\200\231s <NA>
## 2972 Bachelorâ\200\231s <NA>
## 2973 Bachelorâ\200\231s <NA>
## 2974 Bachelorâ\200\231s 0-49
## 2975 Masterâ\200\231s <NA>
## 2976 Doctoral 250-999
## 2977 Bachelorâ\200\231s 0-49
## 2978 Doctoral 1000-9,999
## 2979 Masterâ\200\231s > 10,000
## 2980 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 2981 Masterâ\200\231s 50-249
## 2982 Masterâ\200\231s 1000-9,999
## 2983 No formal education past high school 250-999
## 2984 Masterâ\200\231s 1000-9,999
## 2985 Bachelorâ\200\231s 50-249
## 2986 Bachelorâ\200\231s > 10,000
## 2987 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 2988 Masterâ\200\231s <NA>
## 2989 Masterâ\200\231s <NA>
## 2990 Professional 0-49
## 2991 Bachelorâ\200\231s 1000-9,999
## 2992 Bachelorâ\200\231s <NA>
## 2993 Bachelorâ\200\231s <NA>
## 2994 Bachelorâ\200\231s 0-49
## 2995 Masterâ\200\231s <NA>
## 2996 Bachelorâ\200\231s <NA>
## 2997 Doctoral 50-249
## 2998 Doctoral 50-249
## 2999 Bachelorâ\200\231s 1000-9,999
## 3000 Masterâ\200\231s 0-49
## 3001 No formal education past high school 0-49
## 3002 Masterâ\200\231s 1000-9,999
## 3003 Masterâ\200\231s > 10,000
## 3004 Doctoral 0-49
## 3005 Bachelorâ\200\231s <NA>
## 3006 Masterâ\200\231s 50-249
## 3007 Masterâ\200\231s > 10,000
## 3008 Bachelorâ\200\231s 1000-9,999
## 3009 Doctoral 250-999
## 3010 Bachelorâ\200\231s > 10,000
## 3011 No formal education past high school > 10,000
## 3012 Masterâ\200\231s <NA>
## 3013 Masterâ\200\231s 250-999
## 3014 Masterâ\200\231s 0-49
## 3015 Masterâ\200\231s 1000-9,999
## 3016 Masterâ\200\231s <NA>
## 3017 Masterâ\200\231s 1000-9,999
## 3018 Bachelorâ\200\231s <NA>
## 3019 Masterâ\200\231s 0-49
## 3020 Bachelorâ\200\231s <NA>
## 3021 Bachelorâ\200\231s <NA>
## 3022 Bachelorâ\200\231s <NA>
## 3023 Doctoral > 10,000
## 3024 Bachelorâ\200\231s 250-999
## 3025 Doctoral 0-49
## 3026 Masterâ\200\231s 1000-9,999
## 3027 Bachelorâ\200\231s 50-249
## 3028 Masterâ\200\231s 250-999
## 3029 Doctoral 0-49
## 3030 Bachelorâ\200\231s 50-249
## 3031 Masterâ\200\231s 250-999
## 3032 Bachelorâ\200\231s 0-49
## 3033 Masterâ\200\231s 50-249
## 3034 Bachelorâ\200\231s 0-49
## 3035 Masterâ\200\231s 0-49
## 3036 Professional 50-249
## 3037 Bachelorâ\200\231s <NA>
## 3038 Bachelorâ\200\231s <NA>
## 3039 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 3040 Bachelorâ\200\231s <NA>
## 3041 Bachelorâ\200\231s > 10,000
## 3042 Masterâ\200\231s > 10,000
## 3043 Bachelorâ\200\231s 250-999
## 3044 Masterâ\200\231s 1000-9,999
## 3045 Bachelorâ\200\231s 1000-9,999
## 3046 Masterâ\200\231s > 10,000
## 3047 Masterâ\200\231s 50-249
## 3048 Bachelorâ\200\231s > 10,000
## 3049 Professional 250-999
## 3050 Masterâ\200\231s > 10,000
## 3051 Masterâ\200\231s > 10,000
## 3052 Doctoral 50-249
## 3053 Professional 0-49
## 3054 Bachelorâ\200\231s <NA>
## 3055 Masterâ\200\231s <NA>
## 3056 Masterâ\200\231s <NA>
## 3057 Bachelorâ\200\231s <NA>
## 3058 Masterâ\200\231s 0-49
## 3059 Bachelorâ\200\231s 1000-9,999
## 3060 Bachelorâ\200\231s <NA>
## 3061 Masterâ\200\231s <NA>
## 3062 Doctoral <NA>
## 3063 Masterâ\200\231s 0-49
## 3064 Masterâ\200\231s <NA>
## 3065 Bachelorâ\200\231s > 10,000
## 3066 Masterâ\200\231s > 10,000
## 3067 Masterâ\200\231s <NA>
## 3068 Bachelorâ\200\231s <NA>
## 3069 Masterâ\200\231s 250-999
## 3070 Bachelorâ\200\231s > 10,000
## 3071 Masterâ\200\231s > 10,000
## 3072 Masterâ\200\231s <NA>
## 3073 Masterâ\200\231s 50-249
## 3074 Masterâ\200\231s 250-999
## 3075 Bachelorâ\200\231s > 10,000
## 3076 Bachelorâ\200\231s 0-49
## 3077 Masterâ\200\231s <NA>
## 3078 Bachelorâ\200\231s 0-49
## 3079 Bachelorâ\200\231s <NA>
## 3080 Masterâ\200\231s 1000-9,999
## 3081 Doctoral 0-49
## 3082 Masterâ\200\231s 1000-9,999
## 3083 Doctoral <NA>
## 3084 Bachelorâ\200\231s <NA>
## 3085 Doctoral > 10,000
## 3086 Bachelorâ\200\231s > 10,000
## 3087 Doctoral > 10,000
## 3088 Bachelorâ\200\231s <NA>
## 3089 Professional > 10,000
## 3090 Bachelorâ\200\231s > 10,000
## 3091 Masterâ\200\231s 50-249
## 3092 Bachelorâ\200\231s 250-999
## 3093 Masterâ\200\231s 0-49
## 3094 I prefer not to answer 250-999
## 3095 Bachelorâ\200\231s <NA>
## 3096 Masterâ\200\231s <NA>
## 3097 Masterâ\200\231s > 10,000
## 3098 Bachelorâ\200\231s > 10,000
## 3099 Bachelorâ\200\231s <NA>
## 3100 Bachelorâ\200\231s <NA>
## 3101 Masterâ\200\231s 1000-9,999
## 3102 Masterâ\200\231s 1000-9,999
## 3103 Masterâ\200\231s > 10,000
## 3104 Masterâ\200\231s <NA>
## 3105 Masterâ\200\231s <NA>
## 3106 Masterâ\200\231s 0-49
## 3107 Bachelorâ\200\231s 1000-9,999
## 3108 Bachelorâ\200\231s > 10,000
## 3109 Masterâ\200\231s 250-999
## 3110 Masterâ\200\231s <NA>
## 3111 Masterâ\200\231s <NA>
## 3112 Masterâ\200\231s > 10,000
## 3113 I prefer not to answer 250-999
## 3114 Masterâ\200\231s > 10,000
## 3115 Bachelorâ\200\231s <NA>
## 3116 Bachelorâ\200\231s <NA>
## 3117 Professional <NA>
## 3118 Masterâ\200\231s <NA>
## 3119 Masterâ\200\231s 250-999
## 3120 Bachelorâ\200\231s > 10,000
## 3121 Masterâ\200\231s 1000-9,999
## 3122 Masterâ\200\231s 1000-9,999
## 3123 Bachelorâ\200\231s > 10,000
## 3124 Masterâ\200\231s 0-49
## 3125 Masterâ\200\231s 1000-9,999
## 3126 Masterâ\200\231s 1000-9,999
## 3127 Bachelorâ\200\231s 0-49
## 3128 Masterâ\200\231s > 10,000
## 3129 Bachelorâ\200\231s 0-49
## 3130 Masterâ\200\231s 250-999
## 3131 Masterâ\200\231s 0-49
## 3132 Masterâ\200\231s 250-999
## 3133 Bachelorâ\200\231s 0-49
## 3134 Bachelorâ\200\231s 1000-9,999
## 3135 Masterâ\200\231s <NA>
## 3136 Masterâ\200\231s 50-249
## 3137 Professional 1000-9,999
## 3138 Bachelorâ\200\231s 50-249
## 3139 Professional 1000-9,999
## 3140 Doctoral <NA>
## 3141 Masterâ\200\231s <NA>
## 3142 Masterâ\200\231s 1000-9,999
## 3143 Masterâ\200\231s 0-49
## 3144 Masterâ\200\231s 0-49
## 3145 Bachelorâ\200\231s > 10,000
## 3146 Doctoral 0-49
## 3147 Masterâ\200\231s 0-49
## 3148 Bachelorâ\200\231s > 10,000
## 3149 Professional 1000-9,999
## 3150 Masterâ\200\231s 50-249
## 3151 Masterâ\200\231s > 10,000
## 3152 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 3153 Doctoral 250-999
## 3154 Bachelorâ\200\231s <NA>
## 3155 Masterâ\200\231s 1000-9,999
## 3156 Masterâ\200\231s 1000-9,999
## 3157 Masterâ\200\231s 0-49
## 3158 Masterâ\200\231s 250-999
## 3159 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 3160 Doctoral 50-249
## 3161 Bachelorâ\200\231s <NA>
## 3162 Masterâ\200\231s 0-49
## 3163 Bachelorâ\200\231s <NA>
## 3164 Masterâ\200\231s > 10,000
## 3165 Masterâ\200\231s 50-249
## 3166 Bachelorâ\200\231s 50-249
## 3167 Masterâ\200\231s 250-999
## 3168 Masterâ\200\231s 50-249
## 3169 Bachelorâ\200\231s 1000-9,999
## 3170 No formal education past high school 50-249
## 3171 Masterâ\200\231s 50-249
## 3172 Doctoral <NA>
## 3173 Masterâ\200\231s <NA>
## 3174 Bachelorâ\200\231s 0-49
## 3175 Masterâ\200\231s 0-49
## 3176 Bachelorâ\200\231s <NA>
## 3177 Masterâ\200\231s 1000-9,999
## 3178 Masterâ\200\231s 0-49
## 3179 Masterâ\200\231s > 10,000
## 3180 Masterâ\200\231s > 10,000
## 3181 Bachelorâ\200\231s 50-249
## 3182 Masterâ\200\231s > 10,000
## 3183 Masterâ\200\231s <NA>
## 3184 Bachelorâ\200\231s > 10,000
## 3185 Doctoral 250-999
## 3186 Bachelorâ\200\231s > 10,000
## 3187 Masterâ\200\231s 1000-9,999
## 3188 Masterâ\200\231s 50-249
## 3189 Masterâ\200\231s > 10,000
## 3190 Bachelorâ\200\231s 50-249
## 3191 Bachelorâ\200\231s 50-249
## 3192 Doctoral 250-999
## 3193 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 3194 Bachelorâ\200\231s 0-49
## 3195 Masterâ\200\231s > 10,000
## 3196 Bachelorâ\200\231s <NA>
## 3197 Masterâ\200\231s 0-49
## 3198 Bachelorâ\200\231s > 10,000
## 3199 Doctoral <NA>
## 3200 Masterâ\200\231s 1000-9,999
## 3201 Masterâ\200\231s > 10,000
## 3202 Doctoral 0-49
## 3203 Masterâ\200\231s 0-49
## 3204 Doctoral 0-49
## 3205 Masterâ\200\231s 50-249
## 3206 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 3207 Masterâ\200\231s <NA>
## 3208 Masterâ\200\231s <NA>
## 3209 Bachelorâ\200\231s <NA>
## 3210 Doctoral 250-999
## 3211 Doctoral 0-49
## 3212 Bachelorâ\200\231s <NA>
## 3213 Doctoral <NA>
## 3214 I prefer not to answer 1000-9,999
## 3215 Bachelorâ\200\231s 1000-9,999
## 3216 Doctoral 0-49
## 3217 Bachelorâ\200\231s 50-249
## 3218 Masterâ\200\231s 50-249
## 3219 Bachelorâ\200\231s 1000-9,999
## 3220 Doctoral 0-49
## 3221 Masterâ\200\231s 50-249
## 3222 Bachelorâ\200\231s 0-49
## 3223 Doctoral 0-49
## 3224 Doctoral 50-249
## 3225 Bachelorâ\200\231s 0-49
## 3226 Doctoral 50-249
## 3227 Masterâ\200\231s 250-999
## 3228 Masterâ\200\231s <NA>
## 3229 Bachelorâ\200\231s <NA>
## 3230 Bachelorâ\200\231s <NA>
## 3231 Bachelorâ\200\231s <NA>
## 3232 Bachelorâ\200\231s <NA>
## 3233 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 3234 Masterâ\200\231s <NA>
## 3235 Bachelorâ\200\231s 50-249
## 3236 Masterâ\200\231s <NA>
## 3237 Bachelorâ\200\231s 0-49
## 3238 Doctoral 1000-9,999
## 3239 Bachelorâ\200\231s <NA>
## 3240 Bachelorâ\200\231s 1000-9,999
## 3241 Professional <NA>
## 3242 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 3243 Masterâ\200\231s 0-49
## 3244 Masterâ\200\231s 0-49
## 3245 Masterâ\200\231s 50-249
## 3246 Masterâ\200\231s > 10,000
## 3247 Bachelorâ\200\231s 250-999
## 3248 Masterâ\200\231s 50-249
## 3249 Masterâ\200\231s 1000-9,999
## 3250 Masterâ\200\231s 250-999
## 3251 Masterâ\200\231s 0-49
## 3252 Masterâ\200\231s 0-49
## 3253 Masterâ\200\231s <NA>
## 3254 Bachelorâ\200\231s 0-49
## 3255 Bachelorâ\200\231s 50-249
## 3256 Masterâ\200\231s 0-49
## 3257 Bachelorâ\200\231s 50-249
## 3258 Bachelorâ\200\231s 0-49
## 3259 Bachelorâ\200\231s <NA>
## 3260 Bachelorâ\200\231s 250-999
## 3261 Bachelorâ\200\231s 50-249
## 3262 Bachelorâ\200\231s > 10,000
## 3263 Masterâ\200\231s 0-49
## 3264 Masterâ\200\231s <NA>
## 3265 Bachelorâ\200\231s <NA>
## 3266 Bachelorâ\200\231s 0-49
## 3267 Masterâ\200\231s 50-249
## 3268 Masterâ\200\231s > 10,000
## 3269 Masterâ\200\231s 0-49
## 3270 Masterâ\200\231s > 10,000
## 3271 I prefer not to answer 50-249
## 3272 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 3273 Bachelorâ\200\231s 50-249
## 3274 Masterâ\200\231s 50-249
## 3275 Bachelorâ\200\231s > 10,000
## 3276 Masterâ\200\231s > 10,000
## 3277 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 3278 Doctoral 250-999
## 3279 Bachelorâ\200\231s 250-999
## 3280 Masterâ\200\231s 0-49
## 3281 Masterâ\200\231s <NA>
## 3282 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 3283 Masterâ\200\231s <NA>
## 3284 Masterâ\200\231s 1000-9,999
## 3285 Bachelorâ\200\231s <NA>
## 3286 Masterâ\200\231s 250-999
## 3287 Bachelorâ\200\231s > 10,000
## 3288 Masterâ\200\231s 50-249
## 3289 No formal education past high school 250-999
## 3290 Doctoral <NA>
## 3291 Bachelorâ\200\231s <NA>
## 3292 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 3293 Doctoral 50-249
## 3294 Masterâ\200\231s 50-249
## 3295 Masterâ\200\231s 1000-9,999
## 3296 Masterâ\200\231s 250-999
## 3297 Bachelorâ\200\231s <NA>
## 3298 Masterâ\200\231s 0-49
## 3299 Bachelorâ\200\231s 1000-9,999
## 3300 Professional 50-249
## 3301 Bachelorâ\200\231s 50-249
## 3302 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 3303 Masterâ\200\231s 0-49
## 3304 Doctoral 0-49
## 3305 Masterâ\200\231s <NA>
## 3306 Bachelorâ\200\231s <NA>
## 3307 Bachelorâ\200\231s 0-49
## 3308 Masterâ\200\231s > 10,000
## 3309 Masterâ\200\231s 250-999
## 3310 Masterâ\200\231s 1000-9,999
## 3311 Bachelorâ\200\231s 1000-9,999
## 3312 Doctoral 50-249
## 3313 Bachelorâ\200\231s 0-49
## 3314 Doctoral 250-999
## 3315 Masterâ\200\231s 50-249
## 3316 Masterâ\200\231s 250-999
## 3317 Bachelorâ\200\231s <NA>
## 3318 Doctoral 250-999
## 3319 Doctoral 0-49
## 3320 Masterâ\200\231s > 10,000
## 3321 Masterâ\200\231s > 10,000
## 3322 Bachelorâ\200\231s <NA>
## 3323 Bachelorâ\200\231s 250-999
## 3324 Doctoral <NA>
## 3325 Doctoral <NA>
## 3326 Masterâ\200\231s 0-49
## 3327 Bachelorâ\200\231s 0-49
## 3328 Masterâ\200\231s 250-999
## 3329 Masterâ\200\231s 50-249
## 3330 Masterâ\200\231s 50-249
## 3331 Bachelorâ\200\231s <NA>
## 3332 Doctoral <NA>
## 3333 Masterâ\200\231s > 10,000
## 3334 No formal education past high school <NA>
## 3335 Bachelorâ\200\231s <NA>
## 3336 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 3337 Masterâ\200\231s <NA>
## 3338 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 3339 Doctoral 0-49
## 3340 Masterâ\200\231s > 10,000
## 3341 Masterâ\200\231s 1000-9,999
## 3342 Doctoral <NA>
## 3343 Masterâ\200\231s 0-49
## 3344 Bachelorâ\200\231s > 10,000
## 3345 Masterâ\200\231s <NA>
## 3346 Professional 0-49
## 3347 Masterâ\200\231s <NA>
## 3348 Masterâ\200\231s 250-999
## 3349 Masterâ\200\231s 0-49
## 3350 Bachelorâ\200\231s <NA>
## 3351 Doctoral 1000-9,999
## 3352 Bachelorâ\200\231s <NA>
## 3353 Doctoral 250-999
## 3354 Masterâ\200\231s 0-49
## 3355 Professional 50-249
## 3356 Bachelorâ\200\231s 0-49
## 3357 Bachelorâ\200\231s 0-49
## 3358 Doctoral 1000-9,999
## 3359 Bachelorâ\200\231s 0-49
## 3360 Masterâ\200\231s 0-49
## 3361 Doctoral 1000-9,999
## 3362 Bachelorâ\200\231s <NA>
## 3363 Bachelorâ\200\231s 0-49
## 3364 Masterâ\200\231s 50-249
## 3365 Masterâ\200\231s <NA>
## 3366 Doctoral 1000-9,999
## 3367 Doctoral 0-49
## 3368 Bachelorâ\200\231s 0-49
## 3369 Bachelorâ\200\231s <NA>
## 3370 Bachelorâ\200\231s 0-49
## 3371 Masterâ\200\231s 50-249
## 3372 Bachelorâ\200\231s > 10,000
## 3373 Bachelorâ\200\231s 0-49
## 3374 Bachelorâ\200\231s > 10,000
## 3375 Bachelorâ\200\231s > 10,000
## 3376 Doctoral 50-249
## 3377 Bachelorâ\200\231s 0-49
## 3378 Masterâ\200\231s 0-49
## 3379 Masterâ\200\231s 1000-9,999
## 3380 Bachelorâ\200\231s <NA>
## 3381 Masterâ\200\231s 50-249
## 3382 Doctoral 0-49
## 3383 Masterâ\200\231s 50-249
## 3384 Bachelorâ\200\231s <NA>
## 3385 Masterâ\200\231s > 10,000
## 3386 Doctoral 250-999
## 3387 Masterâ\200\231s 0-49
## 3388 Doctoral 0-49
## 3389 Bachelorâ\200\231s 0-49
## 3390 Masterâ\200\231s <NA>
## 3391 Professional <NA>
## 3392 Professional > 10,000
## 3393 Professional 250-999
## 3394 Doctoral 50-249
## 3395 Bachelorâ\200\231s <NA>
## 3396 Masterâ\200\231s 50-249
## 3397 Masterâ\200\231s 0-49
## 3398 Masterâ\200\231s <NA>
## 3399 I prefer not to answer 0-49
## 3400 Doctoral 0-49
## 3401 Masterâ\200\231s <NA>
## 3402 Masterâ\200\231s > 10,000
## 3403 Masterâ\200\231s > 10,000
## 3404 Doctoral 50-249
## 3405 Bachelorâ\200\231s 0-49
## 3406 Masterâ\200\231s 1000-9,999
## 3407 Masterâ\200\231s 0-49
## 3408 Masterâ\200\231s 1000-9,999
## 3409 Masterâ\200\231s 1000-9,999
## 3410 Doctoral 50-249
## 3411 Masterâ\200\231s > 10,000
## 3412 Masterâ\200\231s > 10,000
## 3413 Doctoral <NA>
## 3414 Bachelorâ\200\231s <NA>
## 3415 Doctoral <NA>
## 3416 Masterâ\200\231s 1000-9,999
## 3417 Bachelorâ\200\231s 0-49
## 3418 Masterâ\200\231s 0-49
## 3419 Doctoral 0-49
## 3420 Masterâ\200\231s <NA>
## 3421 Masterâ\200\231s > 10,000
## 3422 Professional 1000-9,999
## 3423 Bachelorâ\200\231s <NA>
## 3424 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 3425 Bachelorâ\200\231s 1000-9,999
## 3426 Masterâ\200\231s > 10,000
## 3427 Doctoral 0-49
## 3428 Masterâ\200\231s 1000-9,999
## 3429 Masterâ\200\231s 1000-9,999
## 3430 Masterâ\200\231s 50-249
## 3431 Masterâ\200\231s > 10,000
## 3432 Masterâ\200\231s 0-49
## 3433 Masterâ\200\231s 250-999
## 3434 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 3435 Masterâ\200\231s 1000-9,999
## 3436 Masterâ\200\231s <NA>
## 3437 Masterâ\200\231s 0-49
## 3438 Masterâ\200\231s 0-49
## 3439 Masterâ\200\231s 50-249
## 3440 Masterâ\200\231s 1000-9,999
## 3441 Masterâ\200\231s 0-49
## 3442 Doctoral 0-49
## 3443 Bachelorâ\200\231s 1000-9,999
## 3444 Masterâ\200\231s <NA>
## 3445 Bachelorâ\200\231s > 10,000
## 3446 Masterâ\200\231s 250-999
## 3447 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 3448 Doctoral 50-249
## 3449 Masterâ\200\231s <NA>
## 3450 Masterâ\200\231s <NA>
## 3451 Bachelorâ\200\231s 0-49
## 3452 Bachelorâ\200\231s > 10,000
## 3453 Masterâ\200\231s <NA>
## 3454 Masterâ\200\231s > 10,000
## 3455 Masterâ\200\231s <NA>
## 3456 Bachelorâ\200\231s 50-249
## 3457 Professional > 10,000
## 3458 Doctoral 0-49
## 3459 Bachelorâ\200\231s 0-49
## 3460 Bachelorâ\200\231s > 10,000
## 3461 Masterâ\200\231s 1000-9,999
## 3462 Bachelorâ\200\231s <NA>
## 3463 Doctoral 50-249
## 3464 Professional 0-49
## 3465 Bachelorâ\200\231s 0-49
## 3466 Doctoral > 10,000
## 3467 Masterâ\200\231s 0-49
## 3468 Masterâ\200\231s 250-999
## 3469 Masterâ\200\231s 1000-9,999
## 3470 Bachelorâ\200\231s <NA>
## 3471 Masterâ\200\231s > 10,000
## 3472 Masterâ\200\231s <NA>
## 3473 Masterâ\200\231s 1000-9,999
## 3474 Doctoral 50-249
## 3475 Doctoral 1000-9,999
## 3476 Masterâ\200\231s 50-249
## 3477 Masterâ\200\231s 50-249
## 3478 Bachelorâ\200\231s <NA>
## 3479 Masterâ\200\231s 0-49
## 3480 Doctoral 1000-9,999
## 3481 Masterâ\200\231s 0-49
## 3482 Bachelorâ\200\231s <NA>
## 3483 Bachelorâ\200\231s <NA>
## 3484 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 3485 Doctoral <NA>
## 3486 Doctoral 250-999
## 3487 Masterâ\200\231s 50-249
## 3488 Bachelorâ\200\231s 0-49
## 3489 Masterâ\200\231s 1000-9,999
## 3490 Masterâ\200\231s 1000-9,999
## 3491 Doctoral > 10,000
## 3492 Masterâ\200\231s 0-49
## 3493 Bachelorâ\200\231s > 10,000
## 3494 Doctoral 0-49
## 3495 Masterâ\200\231s 50-249
## 3496 Bachelorâ\200\231s <NA>
## 3497 Bachelorâ\200\231s 250-999
## 3498 Bachelorâ\200\231s <NA>
## 3499 Masterâ\200\231s > 10,000
## 3500 Doctoral 1000-9,999
## 3501 Masterâ\200\231s 1000-9,999
## 3502 Masterâ\200\231s 250-999
## 3503 Professional <NA>
## 3504 Masterâ\200\231s <NA>
## 3505 Masterâ\200\231s 1000-9,999
## 3506 Bachelorâ\200\231s 0-49
## 3507 Masterâ\200\231s 0-49
## 3508 Bachelorâ\200\231s <NA>
## 3509 Doctoral 250-999
## 3510 Masterâ\200\231s 250-999
## 3511 Bachelorâ\200\231s 250-999
## 3512 Masterâ\200\231s 1000-9,999
## 3513 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 3514 Doctoral 1000-9,999
## 3515 Doctoral 50-249
## 3516 Doctoral 50-249
## 3517 Masterâ\200\231s 250-999
## 3518 Masterâ\200\231s > 10,000
## 3519 Masterâ\200\231s 250-999
## 3520 Bachelorâ\200\231s <NA>
## 3521 Doctoral 50-249
## 3522 Masterâ\200\231s > 10,000
## 3523 Bachelorâ\200\231s 0-49
## 3524 No formal education past high school 0-49
## 3525 Doctoral 50-249
## 3526 Professional 0-49
## 3527 I prefer not to answer 250-999
## 3528 Bachelorâ\200\231s 250-999
## 3529 Masterâ\200\231s 1000-9,999
## 3530 Bachelorâ\200\231s > 10,000
## 3531 Masterâ\200\231s 250-999
## 3532 Bachelorâ\200\231s <NA>
## 3533 Doctoral > 10,000
## 3534 Masterâ\200\231s > 10,000
## 3535 Masterâ\200\231s 250-999
## 3536 Doctoral 1000-9,999
## 3537 Doctoral 0-49
## 3538 Doctoral 0-49
## 3539 Bachelorâ\200\231s <NA>
## 3540 Masterâ\200\231s 0-49
## 3541 Masterâ\200\231s > 10,000
## 3542 Doctoral 0-49
## 3543 Bachelorâ\200\231s 50-249
## 3544 Masterâ\200\231s 50-249
## 3545 Doctoral 50-249
## 3546 Masterâ\200\231s 50-249
## 3547 Bachelorâ\200\231s 0-49
## 3548 Bachelorâ\200\231s 1000-9,999
## 3549 Bachelorâ\200\231s <NA>
## 3550 Masterâ\200\231s 1000-9,999
## 3551 Doctoral 0-49
## 3552 Masterâ\200\231s 1000-9,999
## 3553 Bachelorâ\200\231s 0-49
## 3554 Bachelorâ\200\231s 0-49
## 3555 Masterâ\200\231s 0-49
## 3556 Bachelorâ\200\231s 0-49
## 3557 Masterâ\200\231s <NA>
## 3558 Doctoral 50-249
## 3559 Doctoral 250-999
## 3560 Masterâ\200\231s <NA>
## 3561 Masterâ\200\231s <NA>
## 3562 Masterâ\200\231s 0-49
## 3563 Doctoral 50-249
## 3564 Masterâ\200\231s 250-999
## 3565 Masterâ\200\231s 50-249
## 3566 Masterâ\200\231s > 10,000
## 3567 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 3568 Bachelorâ\200\231s 0-49
## 3569 Doctoral <NA>
## 3570 Masterâ\200\231s <NA>
## 3571 I prefer not to answer 250-999
## 3572 Bachelorâ\200\231s 0-49
## 3573 Doctoral 50-249
## 3574 Doctoral 0-49
## 3575 Masterâ\200\231s <NA>
## 3576 Masterâ\200\231s > 10,000
## 3577 Masterâ\200\231s > 10,000
## 3578 Masterâ\200\231s > 10,000
## 3579 Bachelorâ\200\231s <NA>
## 3580 Bachelorâ\200\231s <NA>
## 3581 Bachelorâ\200\231s 0-49
## 3582 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 3583 Masterâ\200\231s 50-249
## 3584 Bachelorâ\200\231s 250-999
## 3585 Masterâ\200\231s 250-999
## 3586 Bachelorâ\200\231s <NA>
## 3587 Masterâ\200\231s 50-249
## 3588 Masterâ\200\231s 1000-9,999
## 3589 Bachelorâ\200\231s <NA>
## 3590 Masterâ\200\231s 0-49
## 3591 Bachelorâ\200\231s 0-49
## 3592 Masterâ\200\231s <NA>
## 3593 Bachelorâ\200\231s <NA>
## 3594 Masterâ\200\231s 250-999
## 3595 Bachelorâ\200\231s 0-49
## 3596 Masterâ\200\231s 0-49
## 3597 Bachelorâ\200\231s <NA>
## 3598 Masterâ\200\231s 50-249
## 3599 Bachelorâ\200\231s > 10,000
## 3600 Bachelorâ\200\231s 1000-9,999
## 3601 Masterâ\200\231s <NA>
## 3602 Masterâ\200\231s 1000-9,999
## 3603 Masterâ\200\231s 0-49
## 3604 Masterâ\200\231s 250-999
## 3605 Professional 250-999
## 3606 Masterâ\200\231s 0-49
## 3607 Masterâ\200\231s 250-999
## 3608 Masterâ\200\231s 1000-9,999
## 3609 Bachelorâ\200\231s <NA>
## 3610 Bachelorâ\200\231s 50-249
## 3611 Masterâ\200\231s 0-49
## 3612 Masterâ\200\231s <NA>
## 3613 Doctoral > 10,000
## 3614 Masterâ\200\231s 1000-9,999
## 3615 Professional 0-49
## 3616 Masterâ\200\231s 1000-9,999
## 3617 Masterâ\200\231s 0-49
## 3618 Masterâ\200\231s 0-49
## 3619 Masterâ\200\231s <NA>
## 3620 Bachelorâ\200\231s <NA>
## 3621 Masterâ\200\231s 0-49
## 3622 Masterâ\200\231s > 10,000
## 3623 Masterâ\200\231s <NA>
## 3624 Doctoral 1000-9,999
## 3625 Bachelorâ\200\231s 250-999
## 3626 Bachelorâ\200\231s 50-249
## 3627 I prefer not to answer 250-999
## 3628 Bachelorâ\200\231s <NA>
## 3629 Masterâ\200\231s <NA>
## 3630 Masterâ\200\231s <NA>
## 3631 Professional 1000-9,999
## 3632 Masterâ\200\231s 50-249
## 3633 Masterâ\200\231s 0-49
## 3634 Masterâ\200\231s 50-249
## 3635 I prefer not to answer <NA>
## 3636 Masterâ\200\231s 1000-9,999
## 3637 Doctoral <NA>
## 3638 Masterâ\200\231s > 10,000
## 3639 Masterâ\200\231s > 10,000
## 3640 Doctoral 1000-9,999
## 3641 Masterâ\200\231s > 10,000
## 3642 Doctoral 1000-9,999
## 3643 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 3644 Bachelorâ\200\231s <NA>
## 3645 Bachelorâ\200\231s 50-249
## 3646 Bachelorâ\200\231s 0-49
## 3647 Masterâ\200\231s 250-999
## 3648 Masterâ\200\231s 1000-9,999
## 3649 Masterâ\200\231s 1000-9,999
## 3650 Doctoral 0-49
## 3651 Masterâ\200\231s 0-49
## 3652 Doctoral <NA>
## 3653 Doctoral 250-999
## 3654 Masterâ\200\231s 0-49
## 3655 Bachelorâ\200\231s 50-249
## 3656 Doctoral 0-49
## 3657 Masterâ\200\231s 50-249
## 3658 Masterâ\200\231s 50-249
## 3659 Bachelorâ\200\231s <NA>
## 3660 Masterâ\200\231s 1000-9,999
## 3661 Bachelorâ\200\231s 250-999
## 3662 Bachelorâ\200\231s 250-999
## 3663 Masterâ\200\231s 0-49
## 3664 Doctoral > 10,000
## 3665 Professional <NA>
## 3666 Doctoral 250-999
## 3667 Masterâ\200\231s 250-999
## 3668 Bachelorâ\200\231s <NA>
## 3669 Doctoral <NA>
## 3670 Masterâ\200\231s 1000-9,999
## 3671 Masterâ\200\231s <NA>
## 3672 Masterâ\200\231s > 10,000
## 3673 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 3674 Bachelorâ\200\231s 50-249
## 3675 Bachelorâ\200\231s <NA>
## 3676 Masterâ\200\231s <NA>
## 3677 Doctoral 50-249
## 3678 Doctoral 50-249
## 3679 Bachelorâ\200\231s 0-49
## 3680 Masterâ\200\231s 250-999
## 3681 Bachelorâ\200\231s 250-999
## 3682 Masterâ\200\231s 0-49
## 3683 Bachelorâ\200\231s 50-249
## 3684 Masterâ\200\231s 0-49
## 3685 Masterâ\200\231s > 10,000
## 3686 Masterâ\200\231s 1000-9,999
## 3687 Masterâ\200\231s 1000-9,999
## 3688 Masterâ\200\231s <NA>
## 3689 Doctoral 1000-9,999
## 3690 Doctoral 250-999
## 3691 Doctoral 50-249
## 3692 Doctoral > 10,000
## 3693 Masterâ\200\231s 0-49
## 3694 Masterâ\200\231s <NA>
## 3695 Masterâ\200\231s <NA>
## 3696 Doctoral 50-249
## 3697 Doctoral > 10,000
## 3698 Masterâ\200\231s 1000-9,999
## 3699 Doctoral 0-49
## 3700 Doctoral 0-49
## 3701 Masterâ\200\231s 250-999
## 3702 Masterâ\200\231s 50-249
## 3703 Masterâ\200\231s 0-49
## 3704 Masterâ\200\231s 50-249
## 3705 Masterâ\200\231s 1000-9,999
## 3706 Bachelorâ\200\231s 1000-9,999
## 3707 Masterâ\200\231s 0-49
## 3708 Masterâ\200\231s 0-49
## 3709 Doctoral 50-249
## 3710 Doctoral > 10,000
## 3711 Bachelorâ\200\231s 50-249
## 3712 Bachelorâ\200\231s 0-49
## 3713 Bachelorâ\200\231s <NA>
## 3714 Bachelorâ\200\231s <NA>
## 3715 Doctoral 1000-9,999
## 3716 Doctoral 1000-9,999
## 3717 Masterâ\200\231s 1000-9,999
## 3718 Doctoral > 10,000
## 3719 Masterâ\200\231s > 10,000
## 3720 Bachelorâ\200\231s 1000-9,999
## 3721 Masterâ\200\231s 0-49
## 3722 Bachelorâ\200\231s <NA>
## 3723 Masterâ\200\231s 0-49
## 3724 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 3725 Bachelorâ\200\231s > 10,000
## 3726 Bachelorâ\200\231s <NA>
## 3727 Masterâ\200\231s <NA>
## 3728 No formal education past high school <NA>
## 3729 Masterâ\200\231s 50-249
## 3730 Bachelorâ\200\231s 0-49
## 3731 Masterâ\200\231s <NA>
## 3732 Masterâ\200\231s 1000-9,999
## 3733 Masterâ\200\231s 250-999
## 3734 Masterâ\200\231s 0-49
## 3735 Masterâ\200\231s <NA>
## 3736 Bachelorâ\200\231s 1000-9,999
## 3737 Professional 50-249
## 3738 Masterâ\200\231s 50-249
## 3739 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 3740 No formal education past high school 0-49
## 3741 Masterâ\200\231s <NA>
## 3742 Masterâ\200\231s 250-999
## 3743 Masterâ\200\231s 0-49
## 3744 Masterâ\200\231s 0-49
## 3745 Masterâ\200\231s 0-49
## 3746 Masterâ\200\231s 50-249
## 3747 Bachelorâ\200\231s 50-249
## 3748 Doctoral 0-49
## 3749 Bachelorâ\200\231s 250-999
## 3750 Bachelorâ\200\231s > 10,000
## 3751 Masterâ\200\231s 250-999
## 3752 Masterâ\200\231s 0-49
## 3753 Masterâ\200\231s 1000-9,999
## 3754 Masterâ\200\231s 0-49
## 3755 Masterâ\200\231s 0-49
## 3756 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 3757 Doctoral > 10,000
## 3758 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 3759 Bachelorâ\200\231s <NA>
## 3760 Masterâ\200\231s 250-999
## 3761 Professional 50-249
## 3762 Masterâ\200\231s 0-49
## 3763 Masterâ\200\231s 250-999
## 3764 Professional > 10,000
## 3765 Bachelorâ\200\231s <NA>
## 3766 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 3767 Bachelorâ\200\231s > 10,000
## 3768 Masterâ\200\231s 50-249
## 3769 Bachelorâ\200\231s <NA>
## 3770 Masterâ\200\231s 250-999
## 3771 Masterâ\200\231s 1000-9,999
## 3772 Doctoral 50-249
## 3773 I prefer not to answer 0-49
## 3774 Doctoral 250-999
## 3775 Masterâ\200\231s 0-49
## 3776 Masterâ\200\231s 0-49
## 3777 Masterâ\200\231s > 10,000
## 3778 Bachelorâ\200\231s 1000-9,999
## 3779 Masterâ\200\231s 1000-9,999
## 3780 Masterâ\200\231s 1000-9,999
## 3781 Doctoral 1000-9,999
## 3782 Professional 50-249
## 3783 Bachelorâ\200\231s 1000-9,999
## 3784 Doctoral 1000-9,999
## 3785 Professional <NA>
## 3786 Masterâ\200\231s 250-999
## 3787 Doctoral 1000-9,999
## 3788 Bachelorâ\200\231s 250-999
## 3789 Bachelorâ\200\231s 0-49
## 3790 No formal education past high school > 10,000
## 3791 Masterâ\200\231s 250-999
## 3792 Masterâ\200\231s 1000-9,999
## 3793 Bachelorâ\200\231s 0-49
## 3794 Doctoral > 10,000
## 3795 Masterâ\200\231s 0-49
## 3796 Doctoral <NA>
## 3797 Masterâ\200\231s 0-49
## 3798 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 3799 Bachelorâ\200\231s 0-49
## 3800 Masterâ\200\231s 0-49
## 3801 Masterâ\200\231s > 10,000
## 3802 Masterâ\200\231s > 10,000
## 3803 Masterâ\200\231s > 10,000
## 3804 Masterâ\200\231s 250-999
## 3805 Professional 0-49
## 3806 Doctoral 0-49
## 3807 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 3808 Doctoral 0-49
## 3809 Doctoral 0-49
## 3810 Bachelorâ\200\231s 0-49
## 3811 Professional 0-49
## 3812 Bachelorâ\200\231s <NA>
## 3813 Masterâ\200\231s 50-249
## 3814 Masterâ\200\231s > 10,000
## 3815 Professional 250-999
## 3816 Doctoral 0-49
## 3817 Masterâ\200\231s > 10,000
## 3818 Masterâ\200\231s <NA>
## 3819 Doctoral 0-49
## 3820 Bachelorâ\200\231s <NA>
## 3821 Masterâ\200\231s 0-49
## 3822 Masterâ\200\231s 0-49
## 3823 Doctoral 0-49
## 3824 Masterâ\200\231s 0-49
## 3825 Masterâ\200\231s 1000-9,999
## 3826 Masterâ\200\231s 0-49
## 3827 Bachelorâ\200\231s 0-49
## 3828 I prefer not to answer 50-249
## 3829 Bachelorâ\200\231s 0-49
## 3830 Masterâ\200\231s <NA>
## 3831 Masterâ\200\231s 1000-9,999
## 3832 Masterâ\200\231s 0-49
## 3833 Bachelorâ\200\231s 250-999
## 3834 Bachelorâ\200\231s <NA>
## 3835 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 3836 Doctoral <NA>
## 3837 Bachelorâ\200\231s > 10,000
## 3838 Doctoral 1000-9,999
## 3839 Masterâ\200\231s 250-999
## 3840 Bachelorâ\200\231s 250-999
## 3841 Masterâ\200\231s 1000-9,999
## 3842 Masterâ\200\231s 50-249
## 3843 No formal education past high school <NA>
## 3844 Masterâ\200\231s 0-49
## 3845 Masterâ\200\231s 50-249
## 3846 I prefer not to answer <NA>
## 3847 Doctoral 0-49
## 3848 Masterâ\200\231s 50-249
## 3849 Masterâ\200\231s 0-49
## 3850 Masterâ\200\231s <NA>
## 3851 Doctoral 250-999
## 3852 Bachelorâ\200\231s 50-249
## 3853 Masterâ\200\231s 0-49
## 3854 Doctoral 1000-9,999
## 3855 Bachelorâ\200\231s <NA>
## 3856 Bachelorâ\200\231s 50-249
## 3857 Doctoral 1000-9,999
## 3858 Masterâ\200\231s 1000-9,999
## 3859 Masterâ\200\231s > 10,000
## 3860 Masterâ\200\231s 250-999
## 3861 Masterâ\200\231s 0-49
## 3862 Masterâ\200\231s 0-49
## 3863 I prefer not to answer <NA>
## 3864 Masterâ\200\231s 0-49
## 3865 Masterâ\200\231s > 10,000
## 3866 Masterâ\200\231s 250-999
## 3867 Doctoral 250-999
## 3868 Masterâ\200\231s > 10,000
## 3869 Masterâ\200\231s <NA>
## 3870 Doctoral 0-49
## 3871 Bachelorâ\200\231s <NA>
## 3872 Bachelorâ\200\231s <NA>
## 3873 Bachelorâ\200\231s 1000-9,999
## 3874 Masterâ\200\231s 0-49
## 3875 Masterâ\200\231s 50-249
## 3876 Masterâ\200\231s 50-249
## 3877 Bachelorâ\200\231s <NA>
## 3878 Doctoral 250-999
## 3879 Bachelorâ\200\231s <NA>
## 3880 Masterâ\200\231s <NA>
## 3881 Masterâ\200\231s 0-49
## 3882 Bachelorâ\200\231s 250-999
## 3883 Masterâ\200\231s <NA>
## 3884 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 3885 Masterâ\200\231s 50-249
## 3886 Doctoral 0-49
## 3887 Bachelorâ\200\231s <NA>
## 3888 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 3889 Masterâ\200\231s 1000-9,999
## 3890 Masterâ\200\231s <NA>
## 3891 Doctoral > 10,000
## 3892 Masterâ\200\231s 50-249
## 3893 Bachelorâ\200\231s 0-49
## 3894 Masterâ\200\231s 0-49
## 3895 Masterâ\200\231s <NA>
## 3896 Professional 50-249
## 3897 Doctoral 0-49
## 3898 Bachelorâ\200\231s <NA>
## 3899 Masterâ\200\231s 0-49
## 3900 Masterâ\200\231s 50-249
## 3901 Masterâ\200\231s 0-49
## 3902 Masterâ\200\231s <NA>
## 3903 Masterâ\200\231s <NA>
## 3904 Masterâ\200\231s 0-49
## 3905 Masterâ\200\231s 250-999
## 3906 Masterâ\200\231s <NA>
## 3907 Masterâ\200\231s > 10,000
## 3908 Masterâ\200\231s 1000-9,999
## 3909 Masterâ\200\231s 50-249
## 3910 Bachelorâ\200\231s 0-49
## 3911 Bachelorâ\200\231s 0-49
## 3912 Bachelorâ\200\231s 1000-9,999
## 3913 Masterâ\200\231s 250-999
## 3914 Doctoral 0-49
## 3915 Bachelorâ\200\231s 250-999
## 3916 Doctoral > 10,000
## 3917 Masterâ\200\231s 0-49
## 3918 No formal education past high school 0-49
## 3919 Bachelorâ\200\231s 50-249
## 3920 Masterâ\200\231s 50-249
## 3921 Professional 0-49
## 3922 Doctoral 0-49
## 3923 Bachelorâ\200\231s 50-249
## 3924 Masterâ\200\231s > 10,000
## 3925 Masterâ\200\231s 1000-9,999
## 3926 Masterâ\200\231s 250-999
## 3927 Masterâ\200\231s 0-49
## 3928 Doctoral 50-249
## 3929 Masterâ\200\231s 250-999
## 3930 Masterâ\200\231s 1000-9,999
## 3931 Masterâ\200\231s 1000-9,999
## 3932 Masterâ\200\231s 1000-9,999
## 3933 Bachelorâ\200\231s > 10,000
## 3934 Masterâ\200\231s 1000-9,999
## 3935 Bachelorâ\200\231s 0-49
## 3936 Masterâ\200\231s 250-999
## 3937 Bachelorâ\200\231s <NA>
## 3938 Bachelorâ\200\231s 1000-9,999
## 3939 Masterâ\200\231s 50-249
## 3940 I prefer not to answer 1000-9,999
## 3941 Bachelorâ\200\231s 0-49
## 3942 Masterâ\200\231s 0-49
## 3943 Masterâ\200\231s <NA>
## 3944 Professional 50-249
## 3945 Masterâ\200\231s 250-999
## 3946 Masterâ\200\231s 50-249
## 3947 Masterâ\200\231s 250-999
## 3948 Masterâ\200\231s > 10,000
## 3949 Masterâ\200\231s 1000-9,999
## 3950 Bachelorâ\200\231s <NA>
## 3951 Masterâ\200\231s <NA>
## 3952 Masterâ\200\231s 250-999
## 3953 Masterâ\200\231s 1000-9,999
## 3954 Doctoral 0-49
## 3955 Doctoral <NA>
## 3956 Masterâ\200\231s 0-49
## 3957 Bachelorâ\200\231s 0-49
## 3958 I prefer not to answer <NA>
## 3959 Bachelorâ\200\231s 50-249
## 3960 Bachelorâ\200\231s 50-249
## 3961 Masterâ\200\231s 0-49
## 3962 Masterâ\200\231s 250-999
## 3963 Masterâ\200\231s 250-999
## 3964 Masterâ\200\231s <NA>
## 3965 Masterâ\200\231s 0-49
## 3966 Masterâ\200\231s 50-249
## 3967 Masterâ\200\231s 250-999
## 3968 Masterâ\200\231s <NA>
## 3969 Masterâ\200\231s 0-49
## 3970 Professional 0-49
## 3971 Masterâ\200\231s 1000-9,999
## 3972 Bachelorâ\200\231s 0-49
## 3973 Masterâ\200\231s > 10,000
## 3974 Masterâ\200\231s 250-999
## 3975 Masterâ\200\231s > 10,000
## 3976 Masterâ\200\231s 0-49
## 3977 Masterâ\200\231s 50-249
## 3978 Masterâ\200\231s 0-49
## 3979 Masterâ\200\231s 50-249
## 3980 Masterâ\200\231s 250-999
## 3981 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 3982 No formal education past high school 0-49
## 3983 Bachelorâ\200\231s 0-49
## 3984 Bachelorâ\200\231s <NA>
## 3985 Masterâ\200\231s 50-249
## 3986 Masterâ\200\231s <NA>
## 3987 Bachelorâ\200\231s > 10,000
## 3988 Bachelorâ\200\231s <NA>
## 3989 Bachelorâ\200\231s 0-49
## 3990 Doctoral 1000-9,999
## 3991 Masterâ\200\231s > 10,000
## 3992 Doctoral 1000-9,999
## 3993 Bachelorâ\200\231s > 10,000
## 3994 Masterâ\200\231s 250-999
## 3995 Doctoral 0-49
## 3996 Masterâ\200\231s > 10,000
## 3997 Professional <NA>
## 3998 Masterâ\200\231s 1000-9,999
## 3999 Bachelorâ\200\231s > 10,000
## 4000 Doctoral 0-49
## 4001 Bachelorâ\200\231s > 10,000
## 4002 Masterâ\200\231s 250-999
## 4003 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 4004 Doctoral 250-999
## 4005 Masterâ\200\231s 0-49
## 4006 Doctoral 0-49
## 4007 Masterâ\200\231s 50-249
## 4008 Bachelorâ\200\231s 0-49
## 4009 Bachelorâ\200\231s 250-999
## 4010 Masterâ\200\231s <NA>
## 4011 Masterâ\200\231s <NA>
## 4012 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 4013 Masterâ\200\231s <NA>
## 4014 Bachelorâ\200\231s 50-249
## 4015 Bachelorâ\200\231s 250-999
## 4016 Masterâ\200\231s 250-999
## 4017 Bachelorâ\200\231s 1000-9,999
## 4018 Bachelorâ\200\231s 50-249
## 4019 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 4020 Masterâ\200\231s 50-249
## 4021 Masterâ\200\231s 250-999
## 4022 Doctoral 0-49
## 4023 Masterâ\200\231s 50-249
## 4024 Masterâ\200\231s > 10,000
## 4025 Masterâ\200\231s > 10,000
## 4026 Masterâ\200\231s 1000-9,999
## 4027 Doctoral > 10,000
## 4028 Masterâ\200\231s 0-49
## 4029 Masterâ\200\231s > 10,000
## 4030 Doctoral 1000-9,999
## 4031 Doctoral 250-999
## 4032 Masterâ\200\231s 0-49
## 4033 Bachelorâ\200\231s > 10,000
## 4034 I prefer not to answer 1000-9,999
## 4035 Masterâ\200\231s 50-249
## 4036 Masterâ\200\231s 250-999
## 4037 Masterâ\200\231s 1000-9,999
## 4038 I prefer not to answer <NA>
## 4039 Masterâ\200\231s > 10,000
## 4040 Masterâ\200\231s 0-49
## 4041 Masterâ\200\231s > 10,000
## 4042 Doctoral 1000-9,999
## 4043 Doctoral 0-49
## 4044 Masterâ\200\231s <NA>
## 4045 Masterâ\200\231s <NA>
## 4046 Masterâ\200\231s 250-999
## 4047 Masterâ\200\231s 250-999
## 4048 Masterâ\200\231s <NA>
## 4049 Masterâ\200\231s <NA>
## 4050 Bachelorâ\200\231s 0-49
## 4051 Professional 250-999
## 4052 Masterâ\200\231s 250-999
## 4053 Doctoral 250-999
## 4054 Masterâ\200\231s 50-249
## 4055 Masterâ\200\231s 1000-9,999
## 4056 Masterâ\200\231s 0-49
## 4057 Bachelorâ\200\231s 50-249
## 4058 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 4059 Masterâ\200\231s 1000-9,999
## 4060 Masterâ\200\231s 0-49
## 4061 Masterâ\200\231s 0-49
## 4062 Masterâ\200\231s > 10,000
## 4063 Bachelorâ\200\231s 1000-9,999
## 4064 Masterâ\200\231s 0-49
## 4065 Masterâ\200\231s <NA>
## 4066 Masterâ\200\231s 50-249
## 4067 Masterâ\200\231s 1000-9,999
## 4068 Masterâ\200\231s 0-49
## 4069 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 4070 Masterâ\200\231s 50-249
## 4071 Bachelorâ\200\231s <NA>
## 4072 Doctoral 250-999
## 4073 Masterâ\200\231s 0-49
## 4074 Doctoral 250-999
## 4075 Doctoral <NA>
## 4076 Masterâ\200\231s > 10,000
## 4077 Doctoral 50-249
## 4078 Masterâ\200\231s 250-999
## 4079 Doctoral 250-999
## 4080 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 4081 Doctoral 1000-9,999
## 4082 Bachelorâ\200\231s <NA>
## 4083 Masterâ\200\231s <NA>
## 4084 Masterâ\200\231s 0-49
## 4085 Masterâ\200\231s 50-249
## 4086 Bachelorâ\200\231s 0-49
## 4087 Masterâ\200\231s 50-249
## 4088 Masterâ\200\231s 1000-9,999
## 4089 Masterâ\200\231s 0-49
## 4090 I prefer not to answer 50-249
## 4091 Bachelorâ\200\231s 250-999
## 4092 Masterâ\200\231s 1000-9,999
## 4093 Bachelorâ\200\231s <NA>
## 4094 Doctoral 1000-9,999
## 4095 Bachelorâ\200\231s <NA>
## 4096 Bachelorâ\200\231s > 10,000
## 4097 Masterâ\200\231s <NA>
## 4098 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 4099 Masterâ\200\231s 50-249
## 4100 Masterâ\200\231s 0-49
## 4101 Masterâ\200\231s 250-999
## 4102 Masterâ\200\231s <NA>
## 4103 Masterâ\200\231s 0-49
## 4104 Masterâ\200\231s 250-999
## 4105 Masterâ\200\231s <NA>
## 4106 Masterâ\200\231s <NA>
## 4107 Masterâ\200\231s 0-49
## 4108 Bachelorâ\200\231s 0-49
## 4109 No formal education past high school <NA>
## 4110 Doctoral 1000-9,999
## 4111 Masterâ\200\231s 250-999
## 4112 Bachelorâ\200\231s 50-249
## 4113 Bachelorâ\200\231s 0-49
## 4114 Doctoral 250-999
## 4115 I prefer not to answer 0-49
## 4116 Masterâ\200\231s 0-49
## 4117 Masterâ\200\231s 1000-9,999
## 4118 Doctoral 0-49
## 4119 Masterâ\200\231s > 10,000
## 4120 Doctoral 1000-9,999
## 4121 Masterâ\200\231s 50-249
## 4122 Doctoral 50-249
## 4123 Masterâ\200\231s 1000-9,999
## 4124 Doctoral 50-249
## 4125 Masterâ\200\231s <NA>
## 4126 Masterâ\200\231s 0-49
## 4127 Bachelorâ\200\231s > 10,000
## 4128 Masterâ\200\231s 50-249
## 4129 Masterâ\200\231s 0-49
## 4130 Professional <NA>
## 4131 Bachelorâ\200\231s <NA>
## 4132 I prefer not to answer <NA>
## 4133 Masterâ\200\231s <NA>
## 4134 Doctoral 1000-9,999
## 4135 Masterâ\200\231s 0-49
## 4136 I prefer not to answer 0-49
## 4137 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 4138 Doctoral 0-49
## 4139 Masterâ\200\231s 0-49
## 4140 Masterâ\200\231s > 10,000
## 4141 Doctoral <NA>
## 4142 Bachelorâ\200\231s <NA>
## 4143 Doctoral 250-999
## 4144 Bachelorâ\200\231s <NA>
## 4145 Bachelorâ\200\231s <NA>
## 4146 Masterâ\200\231s 50-249
## 4147 Masterâ\200\231s 50-249
## 4148 Bachelorâ\200\231s > 10,000
## 4149 Masterâ\200\231s <NA>
## 4150 Bachelorâ\200\231s <NA>
## 4151 Bachelorâ\200\231s <NA>
## 4152 Masterâ\200\231s <NA>
## 4153 Bachelorâ\200\231s 1000-9,999
## 4154 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 4155 Masterâ\200\231s 50-249
## 4156 Masterâ\200\231s > 10,000
## 4157 Masterâ\200\231s <NA>
## 4158 Bachelorâ\200\231s 0-49
## 4159 Doctoral <NA>
## 4160 Bachelorâ\200\231s > 10,000
## 4161 Bachelorâ\200\231s <NA>
## 4162 Masterâ\200\231s 0-49
## 4163 Doctoral <NA>
## 4164 Masterâ\200\231s 0-49
## 4165 Masterâ\200\231s 0-49
## 4166 Masterâ\200\231s > 10,000
## 4167 Masterâ\200\231s > 10,000
## 4168 Doctoral 0-49
## 4169 Bachelorâ\200\231s <NA>
## 4170 Doctoral 0-49
## 4171 Doctoral 0-49
## 4172 Masterâ\200\231s 1000-9,999
## 4173 Masterâ\200\231s 50-249
## 4174 Masterâ\200\231s 0-49
## 4175 Doctoral 250-999
## 4176 Doctoral > 10,000
## 4177 Bachelorâ\200\231s 1000-9,999
## 4178 Bachelorâ\200\231s <NA>
## 4179 Masterâ\200\231s 50-249
## 4180 Masterâ\200\231s 0-49
## 4181 Masterâ\200\231s > 10,000
## 4182 Masterâ\200\231s 0-49
## 4183 Masterâ\200\231s > 10,000
## 4184 Bachelorâ\200\231s <NA>
## 4185 Masterâ\200\231s 0-49
## 4186 Doctoral 50-249
## 4187 Bachelorâ\200\231s > 10,000
## 4188 Bachelorâ\200\231s <NA>
## 4189 Masterâ\200\231s 0-49
## 4190 Masterâ\200\231s 0-49
## 4191 Masterâ\200\231s 50-249
## 4192 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 4193 Bachelorâ\200\231s 0-49
## 4194 Doctoral 1000-9,999
## 4195 Masterâ\200\231s > 10,000
## 4196 Masterâ\200\231s 250-999
## 4197 Bachelorâ\200\231s 1000-9,999
## 4198 Masterâ\200\231s 0-49
## 4199 Bachelorâ\200\231s 0-49
## 4200 Masterâ\200\231s <NA>
## 4201 Bachelorâ\200\231s 250-999
## 4202 Doctoral 1000-9,999
## 4203 Masterâ\200\231s <NA>
## 4204 Bachelorâ\200\231s <NA>
## 4205 Masterâ\200\231s > 10,000
## 4206 Bachelorâ\200\231s <NA>
## 4207 Bachelorâ\200\231s <NA>
## 4208 Masterâ\200\231s 50-249
## 4209 Bachelorâ\200\231s 0-49
## 4210 Bachelorâ\200\231s 250-999
## 4211 Bachelorâ\200\231s > 10,000
## 4212 No formal education past high school 0-49
## 4213 Doctoral 1000-9,999
## 4214 Masterâ\200\231s 1000-9,999
## 4215 Masterâ\200\231s 250-999
## 4216 Bachelorâ\200\231s > 10,000
## 4217 Bachelorâ\200\231s <NA>
## 4218 Masterâ\200\231s > 10,000
## 4219 Bachelorâ\200\231s > 10,000
## 4220 Bachelorâ\200\231s 1000-9,999
## 4221 Masterâ\200\231s 0-49
## 4222 Doctoral 50-249
## 4223 Bachelorâ\200\231s 0-49
## 4224 Masterâ\200\231s 0-49
## 4225 Bachelorâ\200\231s 250-999
## 4226 Doctoral 250-999
## 4227 Masterâ\200\231s <NA>
## 4228 Masterâ\200\231s <NA>
## 4229 Bachelorâ\200\231s > 10,000
## 4230 Doctoral 50-249
## 4231 Masterâ\200\231s > 10,000
## 4232 Masterâ\200\231s 50-249
## 4233 Masterâ\200\231s 250-999
## 4234 Bachelorâ\200\231s <NA>
## 4235 Masterâ\200\231s > 10,000
## 4236 Masterâ\200\231s 0-49
## 4237 Doctoral 1000-9,999
## 4238 Doctoral <NA>
## 4239 Bachelorâ\200\231s <NA>
## 4240 Masterâ\200\231s 0-49
## 4241 Masterâ\200\231s 250-999
## 4242 Masterâ\200\231s <NA>
## 4243 Masterâ\200\231s > 10,000
## 4244 Doctoral 250-999
## 4245 Masterâ\200\231s > 10,000
## 4246 Masterâ\200\231s 50-249
## 4247 Doctoral 50-249
## 4248 Bachelorâ\200\231s 0-49
## 4249 Doctoral 1000-9,999
## 4250 Bachelorâ\200\231s <NA>
## 4251 Masterâ\200\231s 0-49
## 4252 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 4253 Masterâ\200\231s 0-49
## 4254 Bachelorâ\200\231s 0-49
## 4255 Bachelorâ\200\231s <NA>
## 4256 Masterâ\200\231s 0-49
## 4257 Bachelorâ\200\231s 250-999
## 4258 Masterâ\200\231s 50-249
## 4259 Masterâ\200\231s 1000-9,999
## 4260 Bachelorâ\200\231s 1000-9,999
## 4261 Doctoral 1000-9,999
## 4262 Masterâ\200\231s 0-49
## 4263 Doctoral <NA>
## 4264 Bachelorâ\200\231s > 10,000
## 4265 Masterâ\200\231s 250-999
## 4266 Masterâ\200\231s 0-49
## 4267 Bachelorâ\200\231s 0-49
## 4268 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 4269 Masterâ\200\231s <NA>
## 4270 Masterâ\200\231s 50-249
## 4271 Professional > 10,000
## 4272 Professional 0-49
## 4273 Masterâ\200\231s <NA>
## 4274 Masterâ\200\231s <NA>
## 4275 I prefer not to answer <NA>
## 4276 I prefer not to answer <NA>
## 4277 Masterâ\200\231s 0-49
## 4278 Bachelorâ\200\231s <NA>
## 4279 Masterâ\200\231s <NA>
## 4280 Masterâ\200\231s 0-49
## 4281 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 4282 Masterâ\200\231s 0-49
## 4283 Doctoral 1000-9,999
## 4284 Doctoral 250-999
## 4285 Doctoral 1000-9,999
## 4286 Bachelorâ\200\231s 0-49
## 4287 Doctoral 250-999
## 4288 Masterâ\200\231s 0-49
## 4289 Doctoral 50-249
## 4290 Bachelorâ\200\231s 0-49
## 4291 Bachelorâ\200\231s 50-249
## 4292 Bachelorâ\200\231s 0-49
## 4293 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 4294 Bachelorâ\200\231s 0-49
## 4295 Bachelorâ\200\231s <NA>
## 4296 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 4297 Masterâ\200\231s 1000-9,999
## 4298 Bachelorâ\200\231s 1000-9,999
## 4299 Masterâ\200\231s 1000-9,999
## 4300 Bachelorâ\200\231s 50-249
## 4301 Professional > 10,000
## 4302 Bachelorâ\200\231s <NA>
## 4303 Masterâ\200\231s <NA>
## 4304 Bachelorâ\200\231s 0-49
## 4305 Masterâ\200\231s 1000-9,999
## 4306 Masterâ\200\231s 0-49
## 4307 Masterâ\200\231s 1000-9,999
## 4308 Masterâ\200\231s 0-49
## 4309 Masterâ\200\231s > 10,000
## 4310 Masterâ\200\231s <NA>
## 4311 Masterâ\200\231s <NA>
## 4312 Masterâ\200\231s 0-49
## 4313 Doctoral 250-999
## 4314 Masterâ\200\231s 1000-9,999
## 4315 Bachelorâ\200\231s <NA>
## 4316 Doctoral 1000-9,999
## 4317 Bachelorâ\200\231s <NA>
## 4318 Bachelorâ\200\231s 50-249
## 4319 Bachelorâ\200\231s 0-49
## 4320 Doctoral 1000-9,999
## 4321 Bachelorâ\200\231s 250-999
## 4322 Bachelorâ\200\231s 0-49
## 4323 Professional 1000-9,999
## 4324 Masterâ\200\231s > 10,000
## 4325 Masterâ\200\231s 250-999
## 4326 Bachelorâ\200\231s > 10,000
## 4327 Bachelorâ\200\231s > 10,000
## 4328 Doctoral 250-999
## 4329 Bachelorâ\200\231s 0-49
## 4330 Masterâ\200\231s 0-49
## 4331 Masterâ\200\231s 50-249
## 4332 Masterâ\200\231s 50-249
## 4333 Masterâ\200\231s 0-49
## 4334 Bachelorâ\200\231s <NA>
## 4335 Bachelorâ\200\231s 1000-9,999
## 4336 Masterâ\200\231s 1000-9,999
## 4337 Masterâ\200\231s 1000-9,999
## 4338 Masterâ\200\231s 1000-9,999
## 4339 Bachelorâ\200\231s 0-49
## 4340 Doctoral 1000-9,999
## 4341 Masterâ\200\231s 0-49
## 4342 Masterâ\200\231s 0-49
## 4343 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 4344 Bachelorâ\200\231s 0-49
## 4345 Bachelorâ\200\231s <NA>
## 4346 Doctoral 0-49
## 4347 Masterâ\200\231s 1000-9,999
## 4348 Bachelorâ\200\231s 0-49
## 4349 Doctoral 0-49
## 4350 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 4351 Masterâ\200\231s 1000-9,999
## 4352 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 4353 Bachelorâ\200\231s <NA>
## 4354 Professional 0-49
## 4355 Doctoral > 10,000
## 4356 Masterâ\200\231s 1000-9,999
## 4357 Masterâ\200\231s 1000-9,999
## 4358 Masterâ\200\231s 0-49
## 4359 Masterâ\200\231s 1000-9,999
## 4360 Masterâ\200\231s 50-249
## 4361 Masterâ\200\231s > 10,000
## 4362 Masterâ\200\231s 0-49
## 4363 Masterâ\200\231s > 10,000
## 4364 Masterâ\200\231s 50-249
## 4365 Masterâ\200\231s 250-999
## 4366 Masterâ\200\231s <NA>
## 4367 Masterâ\200\231s 1000-9,999
## 4368 Bachelorâ\200\231s <NA>
## 4369 Masterâ\200\231s 250-999
## 4370 Bachelorâ\200\231s 1000-9,999
## 4371 Masterâ\200\231s 50-249
## 4372 Doctoral > 10,000
## 4373 Masterâ\200\231s 250-999
## 4374 Doctoral 0-49
## 4375 Masterâ\200\231s 1000-9,999
## 4376 Masterâ\200\231s > 10,000
## 4377 Bachelorâ\200\231s > 10,000
## 4378 Doctoral > 10,000
## 4379 Bachelorâ\200\231s 50-249
## 4380 Doctoral > 10,000
## 4381 Bachelorâ\200\231s 0-49
## 4382 Doctoral 250-999
## 4383 Doctoral > 10,000
## 4384 Bachelorâ\200\231s <NA>
## 4385 Bachelorâ\200\231s > 10,000
## 4386 Masterâ\200\231s 0-49
## 4387 Bachelorâ\200\231s 250-999
## 4388 Doctoral 250-999
## 4389 Bachelorâ\200\231s <NA>
## 4390 Masterâ\200\231s 0-49
## 4391 Bachelorâ\200\231s <NA>
## 4392 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 4393 Masterâ\200\231s <NA>
## 4394 Bachelorâ\200\231s 0-49
## 4395 Masterâ\200\231s 0-49
## 4396 Masterâ\200\231s <NA>
## 4397 Masterâ\200\231s 1000-9,999
## 4398 Bachelorâ\200\231s <NA>
## 4399 Masterâ\200\231s 250-999
## 4400 Bachelorâ\200\231s <NA>
## 4401 Doctoral <NA>
## 4402 Bachelorâ\200\231s 1000-9,999
## 4403 Bachelorâ\200\231s <NA>
## 4404 Masterâ\200\231s 0-49
## 4405 Masterâ\200\231s 250-999
## 4406 Bachelorâ\200\231s 0-49
## 4407 Masterâ\200\231s > 10,000
## 4408 Bachelorâ\200\231s > 10,000
## 4409 Bachelorâ\200\231s <NA>
## 4410 Bachelorâ\200\231s <NA>
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## 4412 Masterâ\200\231s > 10,000
## 4413 Masterâ\200\231s 250-999
## 4414 Bachelorâ\200\231s 0-49
## 4415 Doctoral <NA>
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## 4417 Bachelorâ\200\231s 50-249
## 4418 Bachelorâ\200\231s 0-49
## 4419 Bachelorâ\200\231s > 10,000
## 4420 Professional <NA>
## 4421 Bachelorâ\200\231s 1000-9,999
## 4422 Bachelorâ\200\231s 50-249
## 4423 Masterâ\200\231s 1000-9,999
## 4424 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 4425 Masterâ\200\231s 50-249
## 4426 Doctoral <NA>
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## 4428 I prefer not to answer 50-249
## 4429 Masterâ\200\231s 1000-9,999
## 4430 Masterâ\200\231s > 10,000
## 4431 Bachelorâ\200\231s > 10,000
## 4432 Doctoral <NA>
## 4433 Masterâ\200\231s <NA>
## 4434 Masterâ\200\231s > 10,000
## 4435 Bachelorâ\200\231s <NA>
## 4436 Bachelorâ\200\231s 250-999
## 4437 Bachelorâ\200\231s 250-999
## 4438 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 4439 Doctoral > 10,000
## 4440 Bachelorâ\200\231s > 10,000
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## 4442 No formal education past high school <NA>
## 4443 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 4444 Bachelorâ\200\231s <NA>
## 4445 Masterâ\200\231s > 10,000
## 4446 Masterâ\200\231s > 10,000
## 4447 Bachelorâ\200\231s > 10,000
## 4448 I prefer not to answer 0-49
## 4449 Bachelorâ\200\231s <NA>
## 4450 Masterâ\200\231s 0-49
## 4451 Masterâ\200\231s 1000-9,999
## 4452 Masterâ\200\231s 250-999
## 4453 Bachelorâ\200\231s 0-49
## 4454 Bachelorâ\200\231s 0-49
## 4455 Doctoral 0-49
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## 4457 Masterâ\200\231s 1000-9,999
## 4458 Masterâ\200\231s > 10,000
## 4459 Masterâ\200\231s 0-49
## 4460 Professional 0-49
## 4461 Bachelorâ\200\231s > 10,000
## 4462 Masterâ\200\231s 250-999
## 4463 Masterâ\200\231s > 10,000
## 4464 Masterâ\200\231s 250-999
## 4465 Bachelorâ\200\231s > 10,000
## 4466 Masterâ\200\231s 50-249
## 4467 Masterâ\200\231s 250-999
## 4468 Bachelorâ\200\231s <NA>
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## 4470 Bachelorâ\200\231s > 10,000
## 4471 Masterâ\200\231s 50-249
## 4472 Masterâ\200\231s 50-249
## 4473 Bachelorâ\200\231s <NA>
## 4474 Masterâ\200\231s > 10,000
## 4475 Bachelorâ\200\231s <NA>
## 4476 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 4477 Masterâ\200\231s > 10,000
## 4478 Masterâ\200\231s > 10,000
## 4479 Bachelorâ\200\231s > 10,000
## 4480 Masterâ\200\231s 1000-9,999
## 4481 Masterâ\200\231s 0-49
## 4482 Masterâ\200\231s 50-249
## 4483 Masterâ\200\231s 0-49
## 4484 Professional 0-49
## 4485 No formal education past high school 50-249
## 4486 Masterâ\200\231s > 10,000
## 4487 Bachelorâ\200\231s <NA>
## 4488 I prefer not to answer > 10,000
## 4489 Masterâ\200\231s 50-249
## 4490 Doctoral > 10,000
## 4491 Masterâ\200\231s 0-49
## 4492 Masterâ\200\231s <NA>
## 4493 I prefer not to answer > 10,000
## 4494 Masterâ\200\231s 1000-9,999
## 4495 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 4496 Bachelorâ\200\231s <NA>
## 4497 Bachelorâ\200\231s 0-49
## 4498 Masterâ\200\231s <NA>
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## 4501 Bachelorâ\200\231s 1000-9,999
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## 4504 Masterâ\200\231s 0-49
## 4505 Bachelorâ\200\231s <NA>
## 4506 No formal education past high school 1000-9,999
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## 4509 Masterâ\200\231s > 10,000
## 4510 Masterâ\200\231s <NA>
## 4511 Bachelorâ\200\231s <NA>
## 4512 Masterâ\200\231s > 10,000
## 4513 Doctoral 50-249
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## 4516 Masterâ\200\231s > 10,000
## 4517 Bachelorâ\200\231s 50-249
## 4518 Bachelorâ\200\231s 1000-9,999
## 4519 Doctoral 1000-9,999
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## 4522 Doctoral 0-49
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## 4525 Masterâ\200\231s 250-999
## 4526 Masterâ\200\231s 1000-9,999
## 4527 Masterâ\200\231s 250-999
## 4528 Masterâ\200\231s 50-249
## 4529 Bachelorâ\200\231s 250-999
## 4530 Masterâ\200\231s 0-49
## 4531 Bachelorâ\200\231s 1000-9,999
## 4532 Masterâ\200\231s > 10,000
## 4533 Masterâ\200\231s 1000-9,999
## 4534 Masterâ\200\231s 250-999
## 4535 Bachelorâ\200\231s <NA>
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## 4537 Masterâ\200\231s > 10,000
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## 4539 Masterâ\200\231s > 10,000
## 4540 Masterâ\200\231s 50-249
## 4541 Bachelorâ\200\231s 0-49
## 4542 Masterâ\200\231s 250-999
## 4543 Bachelorâ\200\231s 0-49
## 4544 Bachelorâ\200\231s <NA>
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## 4546 Doctoral 50-249
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## 4549 Bachelorâ\200\231s > 10,000
## 4550 Bachelorâ\200\231s <NA>
## 4551 Bachelorâ\200\231s 1000-9,999
## 4552 Masterâ\200\231s > 10,000
## 4553 I prefer not to answer <NA>
## 4554 Masterâ\200\231s 250-999
## 4555 Doctoral 1000-9,999
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## 4558 Doctoral > 10,000
## 4559 Doctoral > 10,000
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## 4561 Bachelorâ\200\231s 0-49
## 4562 Bachelorâ\200\231s <NA>
## 4563 Bachelorâ\200\231s > 10,000
## 4564 Masterâ\200\231s 0-49
## 4565 Bachelorâ\200\231s 1000-9,999
## 4566 Doctoral 0-49
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## 4568 Bachelorâ\200\231s <NA>
## 4569 Masterâ\200\231s 1000-9,999
## 4570 Bachelorâ\200\231s 0-49
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## 4572 Doctoral 1000-9,999
## 4573 Doctoral 1000-9,999
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## 4575 Masterâ\200\231s 50-249
## 4576 Bachelorâ\200\231s <NA>
## 4577 Doctoral 250-999
## 4578 Masterâ\200\231s <NA>
## 4579 Masterâ\200\231s 50-249
## 4580 Masterâ\200\231s <NA>
## 4581 Masterâ\200\231s 250-999
## 4582 Masterâ\200\231s 0-49
## 4583 Bachelorâ\200\231s <NA>
## 4584 Masterâ\200\231s 0-49
## 4585 Masterâ\200\231s 50-249
## 4586 Bachelorâ\200\231s <NA>
## 4587 Masterâ\200\231s <NA>
## 4588 Masterâ\200\231s 0-49
## 4589 Masterâ\200\231s 0-49
## 4590 Bachelorâ\200\231s 0-49
## 4591 Doctoral 250-999
## 4592 Masterâ\200\231s <NA>
## 4593 Bachelorâ\200\231s 0-49
## 4594 No formal education past high school <NA>
## 4595 Masterâ\200\231s 0-49
## 4596 Doctoral 1000-9,999
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## 4598 Masterâ\200\231s <NA>
## 4599 Masterâ\200\231s > 10,000
## 4600 Doctoral 0-49
## 4601 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 4602 Bachelorâ\200\231s <NA>
## 4603 Masterâ\200\231s 1000-9,999
## 4604 Masterâ\200\231s 1000-9,999
## 4605 Masterâ\200\231s > 10,000
## 4606 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 4607 No formal education past high school 250-999
## 4608 No formal education past high school 50-249
## 4609 Masterâ\200\231s > 10,000
## 4610 Masterâ\200\231s > 10,000
## 4611 Doctoral 1000-9,999
## 4612 Bachelorâ\200\231s 0-49
## 4613 Masterâ\200\231s 1000-9,999
## 4614 Masterâ\200\231s 0-49
## 4615 Doctoral 1000-9,999
## 4616 Masterâ\200\231s > 10,000
## 4617 Bachelorâ\200\231s 0-49
## 4618 Bachelorâ\200\231s 0-49
## 4619 Masterâ\200\231s > 10,000
## 4620 Masterâ\200\231s 1000-9,999
## 4621 Bachelorâ\200\231s > 10,000
## 4622 Masterâ\200\231s <NA>
## 4623 Masterâ\200\231s 1000-9,999
## 4624 Masterâ\200\231s 0-49
## 4625 Doctoral 0-49
## 4626 Masterâ\200\231s > 10,000
## 4627 Bachelorâ\200\231s 0-49
## 4628 Masterâ\200\231s > 10,000
## 4629 Masterâ\200\231s <NA>
## 4630 Bachelorâ\200\231s <NA>
## 4631 Doctoral 1000-9,999
## 4632 Masterâ\200\231s 1000-9,999
## 4633 Masterâ\200\231s 50-249
## 4634 Bachelorâ\200\231s 1000-9,999
## 4635 Masterâ\200\231s 0-49
## 4636 Masterâ\200\231s 50-249
## 4637 Bachelorâ\200\231s 0-49
## 4638 Bachelorâ\200\231s 1000-9,999
## 4639 Bachelorâ\200\231s <NA>
## 4640 Masterâ\200\231s 250-999
## 4641 Bachelorâ\200\231s 1000-9,999
## 4642 Professional 50-249
## 4643 Bachelorâ\200\231s <NA>
## 4644 Bachelorâ\200\231s 0-49
## 4645 Masterâ\200\231s 0-49
## 4646 Doctoral > 10,000
## 4647 Bachelorâ\200\231s > 10,000
## 4648 Masterâ\200\231s 0-49
## 4649 Masterâ\200\231s 50-249
## 4650 Bachelorâ\200\231s 50-249
## 4651 Masterâ\200\231s 1000-9,999
## 4652 Doctoral 0-49
## 4653 Professional <NA>
## 4654 Masterâ\200\231s <NA>
## 4655 Professional 0-49
## 4656 Masterâ\200\231s 50-249
## 4657 Bachelorâ\200\231s <NA>
## 4658 Masterâ\200\231s 1000-9,999
## 4659 Masterâ\200\231s 250-999
## 4660 Masterâ\200\231s 0-49
## 4661 Doctoral 1000-9,999
## 4662 Doctoral <NA>
## 4663 Masterâ\200\231s 0-49
## 4664 Masterâ\200\231s 250-999
## 4665 Masterâ\200\231s > 10,000
## 4666 Masterâ\200\231s 1000-9,999
## 4667 I prefer not to answer <NA>
## 4668 Masterâ\200\231s 1000-9,999
## 4669 No formal education past high school <NA>
## 4670 Masterâ\200\231s 1000-9,999
## 4671 Doctoral 250-999
## 4672 Bachelorâ\200\231s 250-999
## 4673 Masterâ\200\231s 1000-9,999
## 4674 Masterâ\200\231s 0-49
## 4675 Masterâ\200\231s 1000-9,999
## 4676 Masterâ\200\231s 0-49
## 4677 Bachelorâ\200\231s > 10,000
## 4678 Professional <NA>
## 4679 Masterâ\200\231s 0-49
## 4680 Masterâ\200\231s <NA>
## 4681 Masterâ\200\231s <NA>
## 4682 Masterâ\200\231s 250-999
## 4683 Bachelorâ\200\231s <NA>
## 4684 Bachelorâ\200\231s 0-49
## 4685 Masterâ\200\231s 50-249
## 4686 No formal education past high school 0-49
## 4687 Bachelorâ\200\231s > 10,000
## 4688 Bachelorâ\200\231s 50-249
## 4689 Masterâ\200\231s <NA>
## 4690 Masterâ\200\231s 0-49
## 4691 Bachelorâ\200\231s 250-999
## 4692 Bachelorâ\200\231s 250-999
## 4693 Professional 1000-9,999
## 4694 Masterâ\200\231s > 10,000
## 4695 Masterâ\200\231s 1000-9,999
## 4696 Professional 50-249
## 4697 Bachelorâ\200\231s <NA>
## 4698 Bachelorâ\200\231s 50-249
## 4699 Doctoral 1000-9,999
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## 4701 Bachelorâ\200\231s 250-999
## 4702 Bachelorâ\200\231s <NA>
## 4703 Bachelorâ\200\231s <NA>
## 4704 Masterâ\200\231s 0-49
## 4705 Doctoral 0-49
## 4706 Bachelorâ\200\231s > 10,000
## 4707 Bachelorâ\200\231s <NA>
## 4708 Doctoral 50-249
## 4709 Bachelorâ\200\231s <NA>
## 4710 Masterâ\200\231s 250-999
## 4711 Doctoral > 10,000
## 4712 Bachelorâ\200\231s <NA>
## 4713 Masterâ\200\231s > 10,000
## 4714 Bachelorâ\200\231s <NA>
## 4715 Bachelorâ\200\231s <NA>
## 4716 Doctoral 1000-9,999
## 4717 Masterâ\200\231s 50-249
## 4718 Doctoral 0-49
## 4719 Bachelorâ\200\231s > 10,000
## 4720 Doctoral 250-999
## 4721 Bachelorâ\200\231s 50-249
## 4722 Doctoral 1000-9,999
## 4723 Masterâ\200\231s <NA>
## 4724 Masterâ\200\231s 50-249
## 4725 I prefer not to answer > 10,000
## 4726 Masterâ\200\231s 50-249
## 4727 Masterâ\200\231s 0-49
## 4728 Doctoral <NA>
## 4729 Masterâ\200\231s 1000-9,999
## 4730 Doctoral 0-49
## 4731 Masterâ\200\231s 0-49
## 4732 Masterâ\200\231s > 10,000
## 4733 Bachelorâ\200\231s > 10,000
## 4734 Masterâ\200\231s 1000-9,999
## 4735 Masterâ\200\231s 50-249
## 4736 Bachelorâ\200\231s 0-49
## 4737 Bachelorâ\200\231s <NA>
## 4738 Masterâ\200\231s 0-49
## 4739 Masterâ\200\231s > 10,000
## 4740 Masterâ\200\231s 1000-9,999
## 4741 Masterâ\200\231s 250-999
## 4742 Doctoral 250-999
## 4743 Bachelorâ\200\231s <NA>
## 4744 Professional 1000-9,999
## 4745 Doctoral 1000-9,999
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## 4747 Masterâ\200\231s <NA>
## 4748 Masterâ\200\231s 0-49
## 4749 Bachelorâ\200\231s 250-999
## 4750 Bachelorâ\200\231s > 10,000
## 4751 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
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## 4753 Masterâ\200\231s 0-49
## 4754 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 4755 Masterâ\200\231s 50-249
## 4756 Bachelorâ\200\231s <NA>
## 4757 Bachelorâ\200\231s > 10,000
## 4758 Masterâ\200\231s 250-999
## 4759 Doctoral 1000-9,999
## 4760 Masterâ\200\231s 1000-9,999
## 4761 Professional > 10,000
## 4762 Bachelorâ\200\231s <NA>
## 4763 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 4764 Masterâ\200\231s 1000-9,999
## 4765 Bachelorâ\200\231s <NA>
## 4766 Masterâ\200\231s 1000-9,999
## 4767 Bachelorâ\200\231s 250-999
## 4768 Masterâ\200\231s 1000-9,999
## 4769 Doctoral > 10,000
## 4770 Masterâ\200\231s > 10,000
## 4771 Masterâ\200\231s 50-249
## 4772 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 4773 Masterâ\200\231s <NA>
## 4774 Masterâ\200\231s > 10,000
## 4775 Masterâ\200\231s 1000-9,999
## 4776 Bachelorâ\200\231s > 10,000
## 4777 Masterâ\200\231s > 10,000
## 4778 Bachelorâ\200\231s <NA>
## 4779 Doctoral 50-249
## 4780 Masterâ\200\231s 0-49
## 4781 Masterâ\200\231s <NA>
## 4782 Masterâ\200\231s > 10,000
## 4783 Bachelorâ\200\231s > 10,000
## 4784 Bachelorâ\200\231s <NA>
## 4785 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 4786 Bachelorâ\200\231s 0-49
## 4787 Bachelorâ\200\231s <NA>
## 4788 Doctoral <NA>
## 4789 Masterâ\200\231s 1000-9,999
## 4790 Bachelorâ\200\231s <NA>
## 4791 Masterâ\200\231s 1000-9,999
## 4792 Masterâ\200\231s > 10,000
## 4793 Doctoral 250-999
## 4794 Doctoral > 10,000
## 4795 Doctoral 50-249
## 4796 Masterâ\200\231s > 10,000
## 4797 Bachelorâ\200\231s 1000-9,999
## 4798 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 4799 Masterâ\200\231s <NA>
## 4800 Masterâ\200\231s > 10,000
## 4801 Bachelorâ\200\231s <NA>
## 4802 Bachelorâ\200\231s <NA>
## 4803 Masterâ\200\231s <NA>
## 4804 Doctoral 1000-9,999
## 4805 Bachelorâ\200\231s > 10,000
## 4806 Bachelorâ\200\231s <NA>
## 4807 Masterâ\200\231s 250-999
## 4808 Masterâ\200\231s > 10,000
## 4809 Doctoral <NA>
## 4810 Bachelorâ\200\231s 50-249
## 4811 Masterâ\200\231s 250-999
## 4812 Masterâ\200\231s 0-49
## 4813 Doctoral 250-999
## 4814 Professional 0-49
## 4815 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 4816 Masterâ\200\231s > 10,000
## 4817 Doctoral 1000-9,999
## 4818 Doctoral > 10,000
## 4819 Doctoral 0-49
## 4820 Doctoral 0-49
## 4821 Doctoral <NA>
## 4822 Masterâ\200\231s 50-249
## 4823 Bachelorâ\200\231s 50-249
## 4824 Bachelorâ\200\231s 250-999
## 4825 Doctoral 0-49
## 4826 Masterâ\200\231s 250-999
## 4827 Masterâ\200\231s > 10,000
## 4828 Doctoral > 10,000
## 4829 Bachelorâ\200\231s <NA>
## 4830 Masterâ\200\231s <NA>
## 4831 Masterâ\200\231s 250-999
## 4832 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 4833 Masterâ\200\231s 50-249
## 4834 Bachelorâ\200\231s <NA>
## 4835 Bachelorâ\200\231s 1000-9,999
## 4836 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 4837 Masterâ\200\231s 0-49
## 4838 Masterâ\200\231s <NA>
## 4839 Masterâ\200\231s 50-249
## 4840 Bachelorâ\200\231s > 10,000
## 4841 Professional 50-249
## 4842 Doctoral 0-49
## 4843 Doctoral 250-999
## 4844 Masterâ\200\231s > 10,000
## 4845 Doctoral 50-249
## 4846 Masterâ\200\231s > 10,000
## 4847 Masterâ\200\231s > 10,000
## 4848 Bachelorâ\200\231s 1000-9,999
## 4849 Masterâ\200\231s > 10,000
## 4850 Masterâ\200\231s > 10,000
## 4851 Doctoral 0-49
## 4852 Doctoral 50-249
## 4853 Masterâ\200\231s > 10,000
## 4854 Masterâ\200\231s > 10,000
## 4855 Masterâ\200\231s 0-49
## 4856 Doctoral 50-249
## 4857 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 4858 Bachelorâ\200\231s 250-999
## 4859 Masterâ\200\231s 0-49
## 4860 Doctoral 250-999
## 4861 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 4862 Bachelorâ\200\231s <NA>
## 4863 Doctoral > 10,000
## 4864 Masterâ\200\231s 0-49
## 4865 Bachelorâ\200\231s <NA>
## 4866 Doctoral 1000-9,999
## 4867 Bachelorâ\200\231s 0-49
## 4868 Masterâ\200\231s <NA>
## 4869 Doctoral 50-249
## 4870 Doctoral 250-999
## 4871 Masterâ\200\231s 250-999
## 4872 Masterâ\200\231s 0-49
## 4873 Masterâ\200\231s 50-249
## 4874 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 4875 Masterâ\200\231s 1000-9,999
## 4876 Masterâ\200\231s > 10,000
## 4877 Bachelorâ\200\231s <NA>
## 4878 Masterâ\200\231s 0-49
## 4879 Masterâ\200\231s <NA>
## 4880 Bachelorâ\200\231s 0-49
## 4881 Masterâ\200\231s 1000-9,999
## 4882 Masterâ\200\231s <NA>
## 4883 Masterâ\200\231s <NA>
## 4884 Masterâ\200\231s 0-49
## 4885 Bachelorâ\200\231s <NA>
## 4886 Bachelorâ\200\231s 250-999
## 4887 No formal education past high school 50-249
## 4888 Masterâ\200\231s > 10,000
## 4889 Bachelorâ\200\231s > 10,000
## 4890 Masterâ\200\231s > 10,000
## 4891 Masterâ\200\231s > 10,000
## 4892 Doctoral 1000-9,999
## 4893 Masterâ\200\231s <NA>
## 4894 Bachelorâ\200\231s <NA>
## 4895 Professional 1000-9,999
## 4896 Doctoral 1000-9,999
## 4897 Doctoral <NA>
## 4898 Doctoral <NA>
## 4899 Bachelorâ\200\231s > 10,000
## 4900 Masterâ\200\231s 50-249
## 4901 Doctoral 0-49
## 4902 Doctoral 0-49
## 4903 Masterâ\200\231s 0-49
## 4904 Bachelorâ\200\231s <NA>
## 4905 Masterâ\200\231s 0-49
## 4906 Doctoral 0-49
## 4907 Bachelorâ\200\231s > 10,000
## 4908 Doctoral <NA>
## 4909 Bachelorâ\200\231s 0-49
## 4910 Bachelorâ\200\231s <NA>
## 4911 Doctoral > 10,000
## 4912 Masterâ\200\231s 50-249
## 4913 Masterâ\200\231s <NA>
## 4914 Doctoral > 10,000
## 4915 Doctoral 1000-9,999
## 4916 Bachelorâ\200\231s 50-249
## 4917 Doctoral 50-249
## 4918 Bachelorâ\200\231s > 10,000
## 4919 Bachelorâ\200\231s > 10,000
## 4920 Masterâ\200\231s > 10,000
## 4921 Doctoral 0-49
## 4922 Masterâ\200\231s 1000-9,999
## 4923 Doctoral 0-49
## 4924 Bachelorâ\200\231s 250-999
## 4925 Bachelorâ\200\231s <NA>
## 4926 Doctoral 0-49
## 4927 No formal education past high school 0-49
## 4928 Bachelorâ\200\231s > 10,000
## 4929 Professional 250-999
## 4930 Doctoral 50-249
## 4931 Bachelorâ\200\231s 50-249
## 4932 Masterâ\200\231s 0-49
## 4933 Bachelorâ\200\231s > 10,000
## 4934 Masterâ\200\231s > 10,000
## 4935 Masterâ\200\231s > 10,000
## 4936 Masterâ\200\231s 250-999
## 4937 Professional 0-49
## 4938 Bachelorâ\200\231s <NA>
## 4939 Masterâ\200\231s <NA>
## 4940 Bachelorâ\200\231s <NA>
## 4941 Bachelorâ\200\231s 1000-9,999
## 4942 Doctoral 0-49
## 4943 Masterâ\200\231s 50-249
## 4944 Doctoral 50-249
## 4945 Masterâ\200\231s > 10,000
## 4946 Bachelorâ\200\231s > 10,000
## 4947 Doctoral 0-49
## 4948 Masterâ\200\231s 1000-9,999
## 4949 Masterâ\200\231s > 10,000
## 4950 Bachelorâ\200\231s 0-49
## 4951 Doctoral 1000-9,999
## 4952 Masterâ\200\231s 1000-9,999
## 4953 Masterâ\200\231s 1000-9,999
## 4954 Bachelorâ\200\231s > 10,000
## 4955 Doctoral 1000-9,999
## 4956 Bachelorâ\200\231s 1000-9,999
## 4957 Bachelorâ\200\231s <NA>
## 4958 Bachelorâ\200\231s <NA>
## 4959 Masterâ\200\231s 0-49
## 4960 Bachelorâ\200\231s 0-49
## 4961 Bachelorâ\200\231s 1000-9,999
## 4962 Masterâ\200\231s 0-49
## 4963 Doctoral > 10,000
## 4964 Bachelorâ\200\231s <NA>
## 4965 Doctoral > 10,000
## 4966 Masterâ\200\231s 0-49
## 4967 Bachelorâ\200\231s 0-49
## 4968 Doctoral 0-49
## 4969 Doctoral 1000-9,999
## 4970 Masterâ\200\231s > 10,000
## 4971 Bachelorâ\200\231s <NA>
## 4972 Doctoral <NA>
## 4973 Bachelorâ\200\231s > 10,000
## 4974 Bachelorâ\200\231s > 10,000
## 4975 Masterâ\200\231s 0-49
## 4976 Doctoral > 10,000
## 4977 Masterâ\200\231s > 10,000
## 4978 Masterâ\200\231s 50-249
## 4979 Bachelorâ\200\231s 50-249
## 4980 Masterâ\200\231s 0-49
## 4981 Doctoral 1000-9,999
## 4982 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 4983 Doctoral 0-49
## 4984 Masterâ\200\231s 1000-9,999
## 4985 Bachelorâ\200\231s <NA>
## 4986 Masterâ\200\231s 1000-9,999
## 4987 Bachelorâ\200\231s 0-49
## 4988 Bachelorâ\200\231s > 10,000
## 4989 Bachelorâ\200\231s > 10,000
## 4990 Bachelorâ\200\231s 0-49
## 4991 Bachelorâ\200\231s > 10,000
## 4992 Masterâ\200\231s 250-999
## 4993 Doctoral 1000-9,999
## 4994 Bachelorâ\200\231s 250-999
## 4995 Doctoral > 10,000
## 4996 Masterâ\200\231s > 10,000
## 4997 Masterâ\200\231s > 10,000
## 4998 Masterâ\200\231s 0-49
## 4999 Masterâ\200\231s 250-999
## 5000 Masterâ\200\231s 0-49
## 5001 Bachelorâ\200\231s > 10,000
## 5002 Masterâ\200\231s 50-249
## 5003 Masterâ\200\231s 250-999
## 5004 Masterâ\200\231s 1000-9,999
## 5005 Bachelorâ\200\231s <NA>
## 5006 Bachelorâ\200\231s 1000-9,999
## 5007 Masterâ\200\231s 0-49
## 5008 Bachelorâ\200\231s > 10,000
## 5009 Bachelorâ\200\231s 1000-9,999
## 5010 Doctoral > 10,000
## 5011 Bachelorâ\200\231s 250-999
## 5012 Masterâ\200\231s > 10,000
## 5013 Bachelorâ\200\231s > 10,000
## 5014 Doctoral 1000-9,999
## 5015 Doctoral > 10,000
## 5016 Professional <NA>
## 5017 Masterâ\200\231s <NA>
## 5018 Doctoral 0-49
## 5019 Bachelorâ\200\231s 0-49
## 5020 Bachelorâ\200\231s > 10,000
## 5021 Bachelorâ\200\231s 1000-9,999
## 5022 Bachelorâ\200\231s <NA>
## 5023 Bachelorâ\200\231s 0-49
## 5024 Masterâ\200\231s 1000-9,999
## 5025 Doctoral <NA>
## 5026 Bachelorâ\200\231s <NA>
## 5027 Doctoral > 10,000
## 5028 Masterâ\200\231s 250-999
## 5029 Doctoral > 10,000
## 5030 Bachelorâ\200\231s 50-249
## 5031 Bachelorâ\200\231s 0-49
## 5032 Bachelorâ\200\231s 50-249
## 5033 Bachelorâ\200\231s > 10,000
## 5034 Bachelorâ\200\231s <NA>
## 5035 Masterâ\200\231s 1000-9,999
## 5036 Masterâ\200\231s 0-49
## 5037 Bachelorâ\200\231s <NA>
## 5038 Masterâ\200\231s > 10,000
## 5039 Masterâ\200\231s > 10,000
## 5040 Bachelorâ\200\231s 0-49
## 5041 Doctoral 50-249
## 5042 Masterâ\200\231s 1000-9,999
## 5043 Masterâ\200\231s 0-49
## 5044 Bachelorâ\200\231s <NA>
## 5045 Bachelorâ\200\231s 1000-9,999
## 5046 Masterâ\200\231s <NA>
## 5047 Bachelorâ\200\231s <NA>
## 5048 Masterâ\200\231s <NA>
## 5049 Doctoral 250-999
## 5050 Doctoral 50-249
## 5051 Bachelorâ\200\231s > 10,000
## 5052 Masterâ\200\231s 0-49
## 5053 No formal education past high school <NA>
## 5054 Doctoral 0-49
## 5055 Masterâ\200\231s > 10,000
## 5056 Masterâ\200\231s > 10,000
## 5057 Doctoral 50-249
## 5058 Bachelorâ\200\231s 0-49
## 5059 Masterâ\200\231s > 10,000
## 5060 Professional 250-999
## 5061 Masterâ\200\231s <NA>
## 5062 Bachelorâ\200\231s 50-249
## 5063 Masterâ\200\231s <NA>
## 5064 Masterâ\200\231s 0-49
## 5065 Masterâ\200\231s <NA>
## 5066 Masterâ\200\231s <NA>
## 5067 Masterâ\200\231s > 10,000
## 5068 Masterâ\200\231s 250-999
## 5069 Doctoral 0-49
## 5070 Bachelorâ\200\231s <NA>
## 5071 Masterâ\200\231s 1000-9,999
## 5072 Masterâ\200\231s 1000-9,999
## 5073 Doctoral 250-999
## 5074 Bachelorâ\200\231s <NA>
## 5075 Masterâ\200\231s 250-999
## 5076 Doctoral <NA>
## 5077 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 5078 Masterâ\200\231s <NA>
## 5079 Bachelorâ\200\231s 250-999
## 5080 Bachelorâ\200\231s <NA>
## 5081 Masterâ\200\231s > 10,000
## 5082 Bachelorâ\200\231s 50-249
## 5083 Masterâ\200\231s <NA>
## 5084 Bachelorâ\200\231s <NA>
## 5085 Masterâ\200\231s 50-249
## 5086 Doctoral 250-999
## 5087 Masterâ\200\231s <NA>
## 5088 No formal education past high school <NA>
## 5089 Masterâ\200\231s > 10,000
## 5090 Masterâ\200\231s 50-249
## 5091 Bachelorâ\200\231s <NA>
## 5092 Masterâ\200\231s 0-49
## 5093 Professional 50-249
## 5094 Masterâ\200\231s <NA>
## 5095 Bachelorâ\200\231s 0-49
## 5096 No formal education past high school 1000-9,999
## 5097 Bachelorâ\200\231s > 10,000
## 5098 Bachelorâ\200\231s > 10,000
## 5099 Masterâ\200\231s 0-49
## 5100 Masterâ\200\231s > 10,000
## 5101 Bachelorâ\200\231s <NA>
## 5102 Doctoral 0-49
## 5103 Masterâ\200\231s 50-249
## 5104 Masterâ\200\231s 0-49
## 5105 Masterâ\200\231s 1000-9,999
## 5106 Bachelorâ\200\231s 0-49
## 5107 Masterâ\200\231s 50-249
## 5108 Doctoral 0-49
## 5109 Masterâ\200\231s 50-249
## 5110 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 5111 I prefer not to answer 250-999
## 5112 Professional 1000-9,999
## 5113 Doctoral 0-49
## 5114 Masterâ\200\231s 0-49
## 5115 Doctoral > 10,000
## 5116 Masterâ\200\231s 250-999
## 5117 Masterâ\200\231s 250-999
## 5118 Bachelorâ\200\231s 0-49
## 5119 Bachelorâ\200\231s <NA>
## 5120 Masterâ\200\231s > 10,000
## 5121 Masterâ\200\231s <NA>
## 5122 Bachelorâ\200\231s <NA>
## 5123 Bachelorâ\200\231s 50-249
## 5124 Masterâ\200\231s 50-249
## 5125 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 5126 Masterâ\200\231s 1000-9,999
## 5127 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 5128 Bachelorâ\200\231s 0-49
## 5129 Bachelorâ\200\231s 0-49
## 5130 Masterâ\200\231s 0-49
## 5131 Masterâ\200\231s 0-49
## 5132 Masterâ\200\231s 0-49
## 5133 Masterâ\200\231s <NA>
## 5134 Masterâ\200\231s 1000-9,999
## 5135 Masterâ\200\231s 250-999
## 5136 Masterâ\200\231s 50-249
## 5137 Bachelorâ\200\231s <NA>
## 5138 No formal education past high school <NA>
## 5139 Masterâ\200\231s > 10,000
## 5140 Masterâ\200\231s 1000-9,999
## 5141 Professional <NA>
## 5142 Bachelorâ\200\231s <NA>
## 5143 Doctoral > 10,000
## 5144 Masterâ\200\231s 0-49
## 5145 Masterâ\200\231s <NA>
## 5146 Doctoral 0-49
## 5147 Masterâ\200\231s 250-999
## 5148 Doctoral 250-999
## 5149 Bachelorâ\200\231s 1000-9,999
## 5150 Bachelorâ\200\231s <NA>
## 5151 Doctoral > 10,000
## 5152 Masterâ\200\231s 50-249
## 5153 Masterâ\200\231s 50-249
## 5154 Doctoral 250-999
## 5155 Bachelorâ\200\231s 50-249
## 5156 Bachelorâ\200\231s 50-249
## 5157 Masterâ\200\231s > 10,000
## 5158 Masterâ\200\231s 0-49
## 5159 Masterâ\200\231s <NA>
## 5160 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 5161 Masterâ\200\231s 50-249
## 5162 Bachelorâ\200\231s 50-249
## 5163 Masterâ\200\231s 1000-9,999
## 5164 Bachelorâ\200\231s 0-49
## 5165 Masterâ\200\231s > 10,000
## 5166 Doctoral 250-999
## 5167 Bachelorâ\200\231s 0-49
## 5168 Masterâ\200\231s 1000-9,999
## 5169 Bachelorâ\200\231s 0-49
## 5170 Doctoral 0-49
## 5171 Bachelorâ\200\231s > 10,000
## 5172 Masterâ\200\231s 0-49
## 5173 Doctoral 50-249
## 5174 Bachelorâ\200\231s 0-49
## 5175 Masterâ\200\231s 50-249
## 5176 Bachelorâ\200\231s > 10,000
## 5177 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 5178 Doctoral 1000-9,999
## 5179 Masterâ\200\231s 1000-9,999
## 5180 Masterâ\200\231s 0-49
## 5181 Doctoral 1000-9,999
## 5182 Masterâ\200\231s 50-249
## 5183 Doctoral 50-249
## 5184 Masterâ\200\231s 250-999
## 5185 Masterâ\200\231s > 10,000
## 5186 Doctoral 50-249
## 5187 Masterâ\200\231s 250-999
## 5188 Doctoral <NA>
## 5189 Masterâ\200\231s <NA>
## 5190 Doctoral > 10,000
## 5191 Bachelorâ\200\231s 50-249
## 5192 Bachelorâ\200\231s <NA>
## 5193 Doctoral 0-49
## 5194 Masterâ\200\231s > 10,000
## 5195 Doctoral > 10,000
## 5196 Bachelorâ\200\231s <NA>
## 5197 Masterâ\200\231s > 10,000
## 5198 Doctoral 50-249
## 5199 Doctoral 1000-9,999
## 5200 Professional 1000-9,999
## 5201 Masterâ\200\231s > 10,000
## 5202 Bachelorâ\200\231s <NA>
## 5203 Masterâ\200\231s 0-49
## 5204 Doctoral > 10,000
## 5205 Bachelorâ\200\231s > 10,000
## 5206 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 5207 Masterâ\200\231s 0-49
## 5208 Doctoral <NA>
## 5209 Doctoral 0-49
## 5210 Professional 1000-9,999
## 5211 Masterâ\200\231s 0-49
## 5212 Bachelorâ\200\231s 0-49
## 5213 Masterâ\200\231s 250-999
## 5214 Doctoral > 10,000
## 5215 Masterâ\200\231s 1000-9,999
## 5216 Doctoral 1000-9,999
## 5217 Bachelorâ\200\231s <NA>
## 5218 Masterâ\200\231s > 10,000
## 5219 Masterâ\200\231s 250-999
## 5220 Masterâ\200\231s 0-49
## 5221 Masterâ\200\231s > 10,000
## 5222 Masterâ\200\231s 0-49
## 5223 Masterâ\200\231s 250-999
## 5224 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 5225 Bachelorâ\200\231s <NA>
## 5226 Doctoral > 10,000
## 5227 Masterâ\200\231s > 10,000
## 5228 Doctoral > 10,000
## 5229 Masterâ\200\231s <NA>
## 5230 Bachelorâ\200\231s > 10,000
## 5231 Doctoral > 10,000
## 5232 Masterâ\200\231s 50-249
## 5233 Doctoral 1000-9,999
## 5234 Doctoral 1000-9,999
## 5235 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 5236 Masterâ\200\231s 0-49
## 5237 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 5238 Masterâ\200\231s 0-49
## 5239 Professional 0-49
## 5240 Masterâ\200\231s 50-249
## 5241 Masterâ\200\231s > 10,000
## 5242 Masterâ\200\231s 250-999
## 5243 Masterâ\200\231s > 10,000
## 5244 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 5245 Bachelorâ\200\231s 0-49
## 5246 Doctoral 1000-9,999
## 5247 Bachelorâ\200\231s <NA>
## 5248 Masterâ\200\231s <NA>
## 5249 Doctoral <NA>
## 5250 Bachelorâ\200\231s > 10,000
## 5251 Professional > 10,000
## 5252 Masterâ\200\231s 0-49
## 5253 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 5254 Doctoral 0-49
## 5255 Masterâ\200\231s 0-49
## 5256 Bachelorâ\200\231s 50-249
## 5257 Masterâ\200\231s 50-249
## 5258 Masterâ\200\231s 50-249
## 5259 Bachelorâ\200\231s > 10,000
## 5260 Masterâ\200\231s <NA>
## 5261 Masterâ\200\231s <NA>
## 5262 Doctoral 1000-9,999
## 5263 Masterâ\200\231s 1000-9,999
## 5264 Doctoral > 10,000
## 5265 Masterâ\200\231s > 10,000
## 5266 Doctoral 250-999
## 5267 Doctoral 50-249
## 5268 Masterâ\200\231s 1000-9,999
## 5269 Masterâ\200\231s 0-49
## 5270 Doctoral 50-249
## 5271 Bachelorâ\200\231s 250-999
## 5272 Masterâ\200\231s 50-249
## 5273 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 5274 Masterâ\200\231s 250-999
## 5275 Masterâ\200\231s 250-999
## 5276 Bachelorâ\200\231s <NA>
## 5277 Doctoral 1000-9,999
## 5278 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 5279 Bachelorâ\200\231s <NA>
## 5280 Doctoral 50-249
## 5281 Masterâ\200\231s <NA>
## 5282 Doctoral 1000-9,999
## 5283 Masterâ\200\231s 50-249
## 5284 Masterâ\200\231s > 10,000
## 5285 Bachelorâ\200\231s 1000-9,999
## 5286 Doctoral > 10,000
## 5287 Doctoral 50-249
## 5288 Doctoral <NA>
## 5289 Doctoral 0-49
## 5290 Doctoral 1000-9,999
## 5291 Doctoral 50-249
## 5292 Bachelorâ\200\231s 0-49
## 5293 Masterâ\200\231s 250-999
## 5294 Masterâ\200\231s <NA>
## 5295 Masterâ\200\231s > 10,000
## 5296 Bachelorâ\200\231s 50-249
## 5297 Masterâ\200\231s 0-49
## 5298 Doctoral 250-999
## 5299 Bachelorâ\200\231s 0-49
## 5300 Masterâ\200\231s > 10,000
## 5301 Masterâ\200\231s <NA>
## 5302 Masterâ\200\231s 250-999
## 5303 Doctoral 0-49
## 5304 Bachelorâ\200\231s 50-249
## 5305 Masterâ\200\231s <NA>
## 5306 Masterâ\200\231s 50-249
## 5307 Bachelorâ\200\231s 0-49
## 5308 Bachelorâ\200\231s <NA>
## 5309 Masterâ\200\231s > 10,000
## 5310 Masterâ\200\231s 1000-9,999
## 5311 Bachelorâ\200\231s 50-249
## 5312 Doctoral 1000-9,999
## 5313 Bachelorâ\200\231s 250-999
## 5314 Masterâ\200\231s 50-249
## 5315 Bachelorâ\200\231s > 10,000
## 5316 Masterâ\200\231s 1000-9,999
## 5317 Masterâ\200\231s 1000-9,999
## 5318 Masterâ\200\231s > 10,000
## 5319 Bachelorâ\200\231s <NA>
## 5320 Masterâ\200\231s <NA>
## 5321 Masterâ\200\231s 0-49
## 5322 Masterâ\200\231s <NA>
## 5323 Masterâ\200\231s > 10,000
## 5324 Bachelorâ\200\231s 50-249
## 5325 Doctoral > 10,000
## 5326 Doctoral > 10,000
## 5327 Masterâ\200\231s 1000-9,999
## 5328 Masterâ\200\231s <NA>
## 5329 Masterâ\200\231s 50-249
## 5330 Doctoral 0-49
## 5331 Masterâ\200\231s 50-249
## 5332 Bachelorâ\200\231s 0-49
## 5333 Masterâ\200\231s <NA>
## 5334 Masterâ\200\231s > 10,000
## 5335 Doctoral 1000-9,999
## 5336 Bachelorâ\200\231s 0-49
## 5337 Bachelorâ\200\231s <NA>
## 5338 Masterâ\200\231s 250-999
## 5339 Doctoral 0-49
## 5340 Masterâ\200\231s 1000-9,999
## 5341 Bachelorâ\200\231s > 10,000
## 5342 Masterâ\200\231s 1000-9,999
## 5343 Masterâ\200\231s <NA>
## 5344 Masterâ\200\231s 0-49
## 5345 Bachelorâ\200\231s > 10,000
## 5346 Doctoral 250-999
## 5347 Bachelorâ\200\231s > 10,000
## 5348 Masterâ\200\231s 0-49
## 5349 Bachelorâ\200\231s <NA>
## 5350 Professional 50-249
## 5351 Masterâ\200\231s 50-249
## 5352 Bachelorâ\200\231s 250-999
## 5353 Masterâ\200\231s <NA>
## 5354 Masterâ\200\231s 1000-9,999
## 5355 Masterâ\200\231s 1000-9,999
## 5356 Masterâ\200\231s > 10,000
## 5357 Doctoral > 10,000
## 5358 Masterâ\200\231s 0-49
## 5359 Bachelorâ\200\231s 0-49
## 5360 Professional 0-49
## 5361 Doctoral 1000-9,999
## 5362 Masterâ\200\231s <NA>
## 5363 Masterâ\200\231s > 10,000
## 5364 Bachelorâ\200\231s <NA>
## 5365 I prefer not to answer <NA>
## 5366 Masterâ\200\231s 50-249
## 5367 Masterâ\200\231s 1000-9,999
## 5368 Masterâ\200\231s <NA>
## 5369 Bachelorâ\200\231s 250-999
## 5370 Doctoral 250-999
## 5371 Professional > 10,000
## 5372 I prefer not to answer 0-49
## 5373 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 5374 Bachelorâ\200\231s 0-49
## 5375 Bachelorâ\200\231s > 10,000
## 5376 Bachelorâ\200\231s <NA>
## 5377 Bachelorâ\200\231s <NA>
## 5378 Bachelorâ\200\231s <NA>
## 5379 Bachelorâ\200\231s 250-999
## 5380 Bachelorâ\200\231s <NA>
## 5381 Masterâ\200\231s 0-49
## 5382 I prefer not to answer 1000-9,999
## 5383 Bachelorâ\200\231s 0-49
## 5384 Masterâ\200\231s 250-999
## 5385 Bachelorâ\200\231s 1000-9,999
## 5386 Bachelorâ\200\231s 1000-9,999
## 5387 Masterâ\200\231s 50-249
## 5388 Masterâ\200\231s > 10,000
## 5389 Doctoral 1000-9,999
## 5390 Masterâ\200\231s 1000-9,999
## 5391 Doctoral 50-249
## 5392 Masterâ\200\231s <NA>
## 5393 Bachelorâ\200\231s <NA>
## 5394 Masterâ\200\231s <NA>
## 5395 Masterâ\200\231s 50-249
## 5396 Bachelorâ\200\231s 50-249
## 5397 Bachelorâ\200\231s 0-49
## 5398 Bachelorâ\200\231s 50-249
## 5399 Bachelorâ\200\231s 0-49
## 5400 Masterâ\200\231s 0-49
## 5401 Masterâ\200\231s > 10,000
## 5402 Masterâ\200\231s > 10,000
## 5403 Masterâ\200\231s > 10,000
## 5404 Masterâ\200\231s 250-999
## 5405 Bachelorâ\200\231s 50-249
## 5406 Masterâ\200\231s <NA>
## 5407 Bachelorâ\200\231s <NA>
## 5408 Bachelorâ\200\231s 50-249
## 5409 Masterâ\200\231s 250-999
## 5410 Bachelorâ\200\231s 1000-9,999
## 5411 Masterâ\200\231s 250-999
## 5412 Masterâ\200\231s 1000-9,999
## 5413 Masterâ\200\231s 50-249
## 5414 Masterâ\200\231s <NA>
## 5415 Masterâ\200\231s > 10,000
## 5416 Masterâ\200\231s 50-249
## 5417 Masterâ\200\231s 250-999
## 5418 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 5419 Masterâ\200\231s 50-249
## 5420 Doctoral 250-999
## 5421 Bachelorâ\200\231s <NA>
## 5422 I prefer not to answer <NA>
## 5423 Doctoral 250-999
## 5424 Bachelorâ\200\231s > 10,000
## 5425 Doctoral > 10,000
## 5426 Masterâ\200\231s 50-249
## 5427 Doctoral <NA>
## 5428 Masterâ\200\231s > 10,000
## 5429 Masterâ\200\231s 1000-9,999
## 5430 Masterâ\200\231s 0-49
## 5431 Bachelorâ\200\231s 0-49
## 5432 Masterâ\200\231s 1000-9,999
## 5433 Masterâ\200\231s > 10,000
## 5434 Masterâ\200\231s <NA>
## 5435 I prefer not to answer 50-249
## 5436 Masterâ\200\231s > 10,000
## 5437 Masterâ\200\231s <NA>
## 5438 Doctoral 1000-9,999
## 5439 Doctoral 0-49
## 5440 Bachelorâ\200\231s 0-49
## 5441 Masterâ\200\231s 50-249
## 5442 Masterâ\200\231s <NA>
## 5443 Doctoral <NA>
## 5444 Masterâ\200\231s > 10,000
## 5445 Masterâ\200\231s > 10,000
## 5446 Masterâ\200\231s <NA>
## 5447 Bachelorâ\200\231s <NA>
## 5448 Bachelorâ\200\231s 0-49
## 5449 Bachelorâ\200\231s 1000-9,999
## 5450 Bachelorâ\200\231s 250-999
## 5451 Masterâ\200\231s 250-999
## 5452 Doctoral > 10,000
## 5453 Doctoral 50-249
## 5454 Masterâ\200\231s > 10,000
## 5455 Masterâ\200\231s > 10,000
## 5456 Masterâ\200\231s > 10,000
## 5457 Doctoral 250-999
## 5458 Bachelorâ\200\231s 250-999
## 5459 Bachelorâ\200\231s > 10,000
## 5460 Masterâ\200\231s 50-249
## 5461 Masterâ\200\231s 50-249
## 5462 No formal education past high school 1000-9,999
## 5463 Masterâ\200\231s <NA>
## 5464 Bachelorâ\200\231s 0-49
## 5465 Masterâ\200\231s 1000-9,999
## 5466 Bachelorâ\200\231s 0-49
## 5467 Masterâ\200\231s 1000-9,999
## 5468 Bachelorâ\200\231s <NA>
## 5469 Doctoral > 10,000
## 5470 Masterâ\200\231s 0-49
## 5471 Masterâ\200\231s 250-999
## 5472 Masterâ\200\231s <NA>
## 5473 Masterâ\200\231s 1000-9,999
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## 5476 Doctoral 250-999
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## 5491 Masterâ\200\231s 0-49
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## 5493 Bachelorâ\200\231s 50-249
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## 5497 Bachelorâ\200\231s 50-249
## 5498 Masterâ\200\231s 250-999
## 5499 Bachelorâ\200\231s <NA>
## 5500 Masterâ\200\231s <NA>
## 5501 Masterâ\200\231s <NA>
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## 5510 Masterâ\200\231s 0-49
## 5511 Bachelorâ\200\231s 50-249
## 5512 Masterâ\200\231s 250-999
## 5513 Bachelorâ\200\231s <NA>
## 5514 Masterâ\200\231s <NA>
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## 5521 Bachelorâ\200\231s 250-999
## 5522 Bachelorâ\200\231s 50-249
## 5523 Masterâ\200\231s > 10,000
## 5524 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 5525 Masterâ\200\231s > 10,000
## 5526 Doctoral 0-49
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## 5529 Masterâ\200\231s <NA>
## 5530 Bachelorâ\200\231s 1000-9,999
## 5531 Masterâ\200\231s <NA>
## 5532 Professional <NA>
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## 5542 Masterâ\200\231s > 10,000
## 5543 Masterâ\200\231s > 10,000
## 5544 Bachelorâ\200\231s 0-49
## 5545 Masterâ\200\231s 50-249
## 5546 Bachelorâ\200\231s <NA>
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## 5550 Masterâ\200\231s 50-249
## 5551 Bachelorâ\200\231s 250-999
## 5552 Bachelorâ\200\231s <NA>
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## 5554 Bachelorâ\200\231s <NA>
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## 5558 Masterâ\200\231s > 10,000
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## 5561 Masterâ\200\231s <NA>
## 5562 Bachelorâ\200\231s 50-249
## 5563 Masterâ\200\231s 0-49
## 5564 Bachelorâ\200\231s <NA>
## 5565 Doctoral 1000-9,999
## 5566 Masterâ\200\231s 50-249
## 5567 Doctoral 250-999
## 5568 Masterâ\200\231s <NA>
## 5569 Doctoral <NA>
## 5570 I prefer not to answer 50-249
## 5571 Masterâ\200\231s <NA>
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## 5573 Bachelorâ\200\231s 1000-9,999
## 5574 Doctoral 1000-9,999
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## 5577 Masterâ\200\231s 1000-9,999
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## 5579 Masterâ\200\231s <NA>
## 5580 Masterâ\200\231s 1000-9,999
## 5581 Masterâ\200\231s 1000-9,999
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## 5588 Masterâ\200\231s 250-999
## 5589 Doctoral 250-999
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## 5591 Bachelorâ\200\231s 1000-9,999
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## 5596 Bachelorâ\200\231s 250-999
## 5597 Bachelorâ\200\231s 1000-9,999
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## 5599 Bachelorâ\200\231s <NA>
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## 5601 Bachelorâ\200\231s <NA>
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## 5605 Masterâ\200\231s <NA>
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## 5610 Bachelorâ\200\231s 0-49
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## 5612 Bachelorâ\200\231s <NA>
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## 5615 Masterâ\200\231s > 10,000
## 5616 Bachelorâ\200\231s 0-49
## 5617 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
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## 5619 Bachelorâ\200\231s <NA>
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## 5621 Bachelorâ\200\231s <NA>
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## 5623 Masterâ\200\231s 0-49
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## 5636 Masterâ\200\231s <NA>
## 5637 Bachelorâ\200\231s <NA>
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## 5641 Doctoral 250-999
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## 5646 Masterâ\200\231s 0-49
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## 5648 Doctoral <NA>
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## 5652 Doctoral 250-999
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## 5663 Doctoral 50-249
## 5664 Masterâ\200\231s > 10,000
## 5665 Bachelorâ\200\231s > 10,000
## 5666 Masterâ\200\231s <NA>
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## 5669 Bachelorâ\200\231s > 10,000
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## 5677 Bachelorâ\200\231s <NA>
## 5678 Masterâ\200\231s 0-49
## 5679 Bachelorâ\200\231s 50-249
## 5680 Masterâ\200\231s <NA>
## 5681 <NA> <NA>
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## 5683 Bachelorâ\200\231s > 10,000
## 5684 Masterâ\200\231s 0-49
## 5685 Masterâ\200\231s 0-49
## 5686 Bachelorâ\200\231s <NA>
## 5687 Masterâ\200\231s 0-49
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## 5690 Masterâ\200\231s 0-49
## 5691 Masterâ\200\231s 1000-9,999
## 5692 Masterâ\200\231s 250-999
## 5693 Bachelorâ\200\231s <NA>
## 5694 Bachelorâ\200\231s <NA>
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## 5696 Bachelorâ\200\231s 250-999
## 5697 Masterâ\200\231s 1000-9,999
## 5698 Bachelorâ\200\231s > 10,000
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## 5703 Bachelorâ\200\231s <NA>
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## 5710 Bachelorâ\200\231s 0-49
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## 5713 Masterâ\200\231s > 10,000
## 5714 Bachelorâ\200\231s > 10,000
## 5715 Masterâ\200\231s > 10,000
## 5716 Masterâ\200\231s 0-49
## 5717 Masterâ\200\231s > 10,000
## 5718 Doctoral 0-49
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## 5725 Bachelorâ\200\231s <NA>
## 5726 Bachelorâ\200\231s <NA>
## 5727 Masterâ\200\231s 0-49
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## 5729 Masterâ\200\231s 0-49
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## 5731 Bachelorâ\200\231s 1000-9,999
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## 5735 Bachelorâ\200\231s 1000-9,999
## 5736 Masterâ\200\231s 0-49
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## 5742 Bachelorâ\200\231s <NA>
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## 5745 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 5746 Masterâ\200\231s 250-999
## 5747 Bachelorâ\200\231s <NA>
## 5748 Masterâ\200\231s <NA>
## 5749 Masterâ\200\231s 1000-9,999
## 5750 Bachelorâ\200\231s 0-49
## 5751 Masterâ\200\231s <NA>
## 5752 Masterâ\200\231s > 10,000
## 5753 I prefer not to answer 0-49
## 5754 No formal education past high school 50-249
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## 5761 Masterâ\200\231s <NA>
## 5762 Masterâ\200\231s > 10,000
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## 5764 Doctoral <NA>
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## 5767 Masterâ\200\231s > 10,000
## 5768 Bachelorâ\200\231s <NA>
## 5769 Bachelorâ\200\231s <NA>
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## 5775 Masterâ\200\231s 250-999
## 5776 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
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## 5779 Bachelorâ\200\231s <NA>
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## 5782 Bachelorâ\200\231s 1000-9,999
## 5783 Doctoral > 10,000
## 5784 Masterâ\200\231s > 10,000
## 5785 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
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## 5787 Masterâ\200\231s <NA>
## 5788 Masterâ\200\231s 50-249
## 5789 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 5790 Masterâ\200\231s <NA>
## 5791 Doctoral 0-49
## 5792 Masterâ\200\231s <NA>
## 5793 Bachelorâ\200\231s <NA>
## 5794 Masterâ\200\231s 0-49
## 5795 Masterâ\200\231s 0-49
## 5796 Bachelorâ\200\231s > 10,000
## 5797 Doctoral <NA>
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## 5802 Masterâ\200\231s <NA>
## 5803 Bachelorâ\200\231s <NA>
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## 5806 Bachelorâ\200\231s 250-999
## 5807 Masterâ\200\231s > 10,000
## 5808 Masterâ\200\231s > 10,000
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## 5810 Masterâ\200\231s 0-49
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## 5816 Professional 1000-9,999
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## 5822 Masterâ\200\231s 0-49
## 5823 Bachelorâ\200\231s 1000-9,999
## 5824 Masterâ\200\231s > 10,000
## 5825 Bachelorâ\200\231s > 10,000
## 5826 Doctoral 0-49
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## 5828 Masterâ\200\231s 0-49
## 5829 Masterâ\200\231s 1000-9,999
## 5830 Bachelorâ\200\231s 1000-9,999
## 5831 Masterâ\200\231s 0-49
## 5832 Doctoral <NA>
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## 5834 Masterâ\200\231s 0-49
## 5835 Masterâ\200\231s <NA>
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## 5837 Doctoral 1000-9,999
## 5838 Bachelorâ\200\231s 0-49
## 5839 Masterâ\200\231s 250-999
## 5840 Bachelorâ\200\231s > 10,000
## 5841 Doctoral 250-999
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## 5843 Doctoral 0-49
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## 5845 Doctoral 50-249
## 5846 Bachelorâ\200\231s 1000-9,999
## 5847 Masterâ\200\231s > 10,000
## 5848 Bachelorâ\200\231s <NA>
## 5849 Doctoral 250-999
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## 5851 Masterâ\200\231s <NA>
## 5852 Doctoral 1000-9,999
## 5853 Bachelorâ\200\231s 1000-9,999
## 5854 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 5855 Masterâ\200\231s <NA>
## 5856 I prefer not to answer <NA>
## 5857 Masterâ\200\231s 0-49
## 5858 Masterâ\200\231s 50-249
## 5859 Bachelorâ\200\231s <NA>
## 5860 Bachelorâ\200\231s 0-49
## 5861 Masterâ\200\231s 1000-9,999
## 5862 Bachelorâ\200\231s 1000-9,999
## 5863 Bachelorâ\200\231s 50-249
## 5864 Doctoral 1000-9,999
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## 5866 Masterâ\200\231s 1000-9,999
## 5867 Doctoral <NA>
## 5868 Doctoral 1000-9,999
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## 5872 Masterâ\200\231s 250-999
## 5873 Masterâ\200\231s > 10,000
## 5874 Masterâ\200\231s <NA>
## 5875 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
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## 5879 Masterâ\200\231s 0-49
## 5880 Masterâ\200\231s > 10,000
## 5881 Masterâ\200\231s 0-49
## 5882 Masterâ\200\231s > 10,000
## 5883 Masterâ\200\231s 0-49
## 5884 Bachelorâ\200\231s > 10,000
## 5885 Masterâ\200\231s 0-49
## 5886 Bachelorâ\200\231s <NA>
## 5887 Masterâ\200\231s 1000-9,999
## 5888 Masterâ\200\231s > 10,000
## 5889 Bachelorâ\200\231s 50-249
## 5890 Doctoral 1000-9,999
## 5891 Masterâ\200\231s > 10,000
## 5892 Masterâ\200\231s 1000-9,999
## 5893 Masterâ\200\231s 1000-9,999
## 5894 Masterâ\200\231s 0-49
## 5895 Doctoral 0-49
## 5896 Masterâ\200\231s <NA>
## 5897 Bachelorâ\200\231s <NA>
## 5898 Masterâ\200\231s 0-49
## 5899 Bachelorâ\200\231s <NA>
## 5900 Masterâ\200\231s 1000-9,999
## 5901 Masterâ\200\231s 250-999
## 5902 Doctoral 1000-9,999
## 5903 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 5904 Masterâ\200\231s 50-249
## 5905 Masterâ\200\231s <NA>
## 5906 Masterâ\200\231s 0-49
## 5907 Bachelorâ\200\231s 1000-9,999
## 5908 Bachelorâ\200\231s > 10,000
## 5909 Masterâ\200\231s 0-49
## 5910 Masterâ\200\231s 250-999
## 5911 Masterâ\200\231s 50-249
## 5912 Masterâ\200\231s 1000-9,999
## 5913 Doctoral 0-49
## 5914 Doctoral 250-999
## 5915 Doctoral > 10,000
## 5916 Masterâ\200\231s 50-249
## 5917 Bachelorâ\200\231s > 10,000
## 5918 Doctoral > 10,000
## 5919 Masterâ\200\231s 50-249
## 5920 Masterâ\200\231s 50-249
## 5921 Masterâ\200\231s 250-999
## 5922 Masterâ\200\231s 250-999
## 5923 Bachelorâ\200\231s 50-249
## 5924 Bachelorâ\200\231s <NA>
## 5925 Masterâ\200\231s 0-49
## 5926 Masterâ\200\231s <NA>
## 5927 Professional 1000-9,999
## 5928 Bachelorâ\200\231s <NA>
## 5929 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 5930 Masterâ\200\231s 0-49
## 5931 Doctoral 1000-9,999
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## 5933 Masterâ\200\231s 1000-9,999
## 5934 Masterâ\200\231s 1000-9,999
## 5935 Bachelorâ\200\231s 50-249
## 5936 Bachelorâ\200\231s 0-49
## 5937 Doctoral 1000-9,999
## 5938 Doctoral 1000-9,999
## 5939 Bachelorâ\200\231s <NA>
## 5940 I prefer not to answer 50-249
## 5941 Masterâ\200\231s <NA>
## 5942 Bachelorâ\200\231s 1000-9,999
## 5943 Professional > 10,000
## 5944 Masterâ\200\231s 50-249
## 5945 Masterâ\200\231s <NA>
## 5946 Masterâ\200\231s > 10,000
## 5947 Masterâ\200\231s 50-249
## 5948 Masterâ\200\231s 1000-9,999
## 5949 Masterâ\200\231s <NA>
## 5950 Doctoral 1000-9,999
## 5951 Professional 0-49
## 5952 I prefer not to answer 1000-9,999
## 5953 Bachelorâ\200\231s 0-49
## 5954 Doctoral 0-49
## 5955 Bachelorâ\200\231s > 10,000
## 5956 Bachelorâ\200\231s 50-249
## 5957 Doctoral 1000-9,999
## 5958 Bachelorâ\200\231s 0-49
## 5959 Doctoral <NA>
## 5960 Bachelorâ\200\231s 1000-9,999
## 5961 Doctoral 1000-9,999
## 5962 Masterâ\200\231s 0-49
## 5963 Masterâ\200\231s 50-249
## 5964 Doctoral 250-999
## 5965 Masterâ\200\231s <NA>
## 5966 Bachelorâ\200\231s 1000-9,999
## 5967 Masterâ\200\231s 1000-9,999
## 5968 Masterâ\200\231s 0-49
## 5969 Masterâ\200\231s 250-999
## 5970 Masterâ\200\231s > 10,000
## 5971 Doctoral > 10,000
## 5972 Masterâ\200\231s 250-999
## 5973 Bachelorâ\200\231s 250-999
## 5974 Masterâ\200\231s <NA>
## 5975 Masterâ\200\231s 0-49
## 5976 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 5977 Masterâ\200\231s 250-999
## 5978 Doctoral 0-49
## 5979 Masterâ\200\231s > 10,000
## 5980 Masterâ\200\231s <NA>
## 5981 Masterâ\200\231s 0-49
## 5982 Masterâ\200\231s > 10,000
## 5983 Masterâ\200\231s 0-49
## 5984 Bachelorâ\200\231s > 10,000
## 5985 Masterâ\200\231s > 10,000
## 5986 Masterâ\200\231s > 10,000
## 5987 Professional 0-49
## 5988 Bachelorâ\200\231s > 10,000
## 5989 Masterâ\200\231s > 10,000
## 5990 Bachelorâ\200\231s > 10,000
## 5991 Bachelorâ\200\231s > 10,000
## 5992 Doctoral 1000-9,999
## 5993 Bachelorâ\200\231s <NA>
## 5994 Bachelorâ\200\231s > 10,000
## 5995 Masterâ\200\231s 250-999
## 5996 Bachelorâ\200\231s <NA>
## 5997 Bachelorâ\200\231s 250-999
## 5998 Bachelorâ\200\231s 250-999
## 5999 Bachelorâ\200\231s <NA>
## 6000 Masterâ\200\231s <NA>
## 6001 Bachelorâ\200\231s <NA>
## 6002 Masterâ\200\231s 50-249
## 6003 Masterâ\200\231s <NA>
## 6004 Professional 1000-9,999
## 6005 Bachelorâ\200\231s > 10,000
## 6006 Masterâ\200\231s 0-49
## 6007 Masterâ\200\231s <NA>
## 6008 Masterâ\200\231s > 10,000
## 6009 Bachelorâ\200\231s 0-49
## 6010 Masterâ\200\231s > 10,000
## 6011 Doctoral > 10,000
## 6012 Masterâ\200\231s 0-49
## 6013 Bachelorâ\200\231s > 10,000
## 6014 Masterâ\200\231s 1000-9,999
## 6015 Bachelorâ\200\231s <NA>
## 6016 Doctoral 50-249
## 6017 Masterâ\200\231s 250-999
## 6018 Masterâ\200\231s <NA>
## 6019 Masterâ\200\231s <NA>
## 6020 Masterâ\200\231s <NA>
## 6021 Bachelorâ\200\231s <NA>
## 6022 I prefer not to answer > 10,000
## 6023 Masterâ\200\231s 50-249
## 6024 Doctoral 250-999
## 6025 Bachelorâ\200\231s 1000-9,999
## 6026 Masterâ\200\231s <NA>
## 6027 Masterâ\200\231s > 10,000
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## 6076 I prefer not to answer <NA>
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## 6099 Masterâ\200\231s <NA>
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## 6101 Doctoral > 10,000
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## 6112 Bachelorâ\200\231s <NA>
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## 6143 Masterâ\200\231s > 10,000
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## 6146 Masterâ\200\231s 50-249
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## 6149 Bachelorâ\200\231s <NA>
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## 6161 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
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## 6205 Masterâ\200\231s > 10,000
## 6206 Bachelorâ\200\231s <NA>
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## 6451 Masterâ\200\231s <NA>
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## 6458 Bachelorâ\200\231s <NA>
## 6459 Masterâ\200\231s <NA>
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## 6472 Masterâ\200\231s <NA>
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## 6479 Masterâ\200\231s 1000-9,999
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## 6496 Bachelorâ\200\231s <NA>
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## 6529 Masterâ\200\231s 0-49
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## 6535 Masterâ\200\231s > 10,000
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## 6539 Masterâ\200\231s <NA>
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## 6549 Bachelorâ\200\231s > 10,000
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## 6556 Masterâ\200\231s 1000-9,999
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## 6577 Bachelorâ\200\231s 1000-9,999
## 6578 Masterâ\200\231s <NA>
## 6579 Bachelorâ\200\231s > 10,000
## 6580 Doctoral 1000-9,999
## 6581 Bachelorâ\200\231s <NA>
## 6582 Masterâ\200\231s 1000-9,999
## 6583 Doctoral 0-49
## 6584 Doctoral 50-249
## 6585 Masterâ\200\231s 50-249
## 6586 Bachelorâ\200\231s 250-999
## 6587 Bachelorâ\200\231s 1000-9,999
## 6588 Bachelorâ\200\231s 1000-9,999
## 6589 Masterâ\200\231s 1000-9,999
## 6590 Bachelorâ\200\231s 50-249
## 6591 Masterâ\200\231s > 10,000
## 6592 Bachelorâ\200\231s 0-49
## 6593 Bachelorâ\200\231s <NA>
## 6594 Doctoral 0-49
## 6595 Doctoral 250-999
## 6596 Masterâ\200\231s <NA>
## 6597 Bachelorâ\200\231s > 10,000
## 6598 Masterâ\200\231s 1000-9,999
## 6599 Masterâ\200\231s > 10,000
## 6600 Bachelorâ\200\231s 50-249
## 6601 I prefer not to answer <NA>
## 6602 Masterâ\200\231s > 10,000
## 6603 Masterâ\200\231s 250-999
## 6604 Bachelorâ\200\231s > 10,000
## 6605 Masterâ\200\231s > 10,000
## 6606 Bachelorâ\200\231s 0-49
## 6607 Doctoral 250-999
## 6608 Masterâ\200\231s 50-249
## 6609 Masterâ\200\231s 1000-9,999
## 6610 Masterâ\200\231s > 10,000
## 6611 I prefer not to answer > 10,000
## 6612 Bachelorâ\200\231s 0-49
## 6613 Bachelorâ\200\231s <NA>
## 6614 Bachelorâ\200\231s 0-49
## 6615 Masterâ\200\231s 0-49
## 6616 Masterâ\200\231s 250-999
## 6617 Masterâ\200\231s 50-249
## 6618 Masterâ\200\231s 0-49
## 6619 Masterâ\200\231s 1000-9,999
## 6620 Bachelorâ\200\231s 0-49
## 6621 Masterâ\200\231s 0-49
## 6622 Masterâ\200\231s > 10,000
## 6623 Bachelorâ\200\231s 0-49
## 6624 Professional 1000-9,999
## 6625 Bachelorâ\200\231s <NA>
## 6626 Doctoral > 10,000
## 6627 Masterâ\200\231s > 10,000
## 6628 Masterâ\200\231s 0-49
## 6629 Bachelorâ\200\231s <NA>
## 6630 Masterâ\200\231s <NA>
## 6631 Masterâ\200\231s 0-49
## 6632 Masterâ\200\231s 0-49
## 6633 Masterâ\200\231s 50-249
## 6634 Masterâ\200\231s 50-249
## 6635 Doctoral 0-49
## 6636 Professional 250-999
## 6637 Masterâ\200\231s 1000-9,999
## 6638 Bachelorâ\200\231s 1000-9,999
## 6639 Bachelorâ\200\231s > 10,000
## 6640 Masterâ\200\231s <NA>
## 6641 Masterâ\200\231s 1000-9,999
## 6642 Masterâ\200\231s 50-249
## 6643 Masterâ\200\231s 0-49
## 6644 Professional 50-249
## 6645 Doctoral 1000-9,999
## 6646 Bachelorâ\200\231s > 10,000
## 6647 Masterâ\200\231s 0-49
## 6648 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 6649 Bachelorâ\200\231s 0-49
## 6650 Bachelorâ\200\231s 50-249
## 6651 Masterâ\200\231s 50-249
## 6652 Masterâ\200\231s 50-249
## 6653 Bachelorâ\200\231s 1000-9,999
## 6654 Doctoral 0-49
## 6655 Bachelorâ\200\231s 250-999
## 6656 Masterâ\200\231s <NA>
## 6657 Masterâ\200\231s <NA>
## 6658 Masterâ\200\231s 0-49
## 6659 Masterâ\200\231s 0-49
## 6660 Bachelorâ\200\231s 0-49
## 6661 Bachelorâ\200\231s <NA>
## 6662 Masterâ\200\231s 1000-9,999
## 6663 Masterâ\200\231s > 10,000
## 6664 Masterâ\200\231s 0-49
## 6665 Masterâ\200\231s 0-49
## 6666 Masterâ\200\231s 50-249
## 6667 Bachelorâ\200\231s <NA>
## 6668 Bachelorâ\200\231s 50-249
## 6669 Bachelorâ\200\231s 50-249
## 6670 Doctoral 0-49
## 6671 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 6672 Masterâ\200\231s > 10,000
## 6673 Masterâ\200\231s <NA>
## 6674 Masterâ\200\231s <NA>
## 6675 Doctoral > 10,000
## 6676 Bachelorâ\200\231s <NA>
## 6677 Bachelorâ\200\231s <NA>
## 6678 Masterâ\200\231s 50-249
## 6679 Masterâ\200\231s > 10,000
## 6680 Doctoral 0-49
## 6681 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 6682 Masterâ\200\231s 1000-9,999
## 6683 Masterâ\200\231s <NA>
## 6684 Doctoral 0-49
## 6685 Bachelorâ\200\231s <NA>
## 6686 Doctoral 50-249
## 6687 Masterâ\200\231s 1000-9,999
## 6688 Doctoral 50-249
## 6689 Bachelorâ\200\231s > 10,000
## 6690 Doctoral <NA>
## 6691 Masterâ\200\231s 0-49
## 6692 Doctoral 0-49
## 6693 Masterâ\200\231s > 10,000
## 6694 Masterâ\200\231s <NA>
## 6695 Professional 0-49
## 6696 Masterâ\200\231s 50-249
## 6697 Bachelorâ\200\231s 0-49
## 6698 Masterâ\200\231s 250-999
## 6699 Bachelorâ\200\231s 250-999
## 6700 Masterâ\200\231s 1000-9,999
## 6701 Masterâ\200\231s 250-999
## 6702 Bachelorâ\200\231s <NA>
## 6703 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 6704 Masterâ\200\231s 250-999
## 6705 Masterâ\200\231s 0-49
## 6706 Bachelorâ\200\231s > 10,000
## 6707 Bachelorâ\200\231s > 10,000
## 6708 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 6709 Professional 50-249
## 6710 Bachelorâ\200\231s <NA>
## 6711 Doctoral 50-249
## 6712 Bachelorâ\200\231s 0-49
## 6713 Bachelorâ\200\231s <NA>
## 6714 Masterâ\200\231s 1000-9,999
## 6715 Masterâ\200\231s 1000-9,999
## 6716 Doctoral 50-249
## 6717 Masterâ\200\231s > 10,000
## 6718 Masterâ\200\231s <NA>
## 6719 Bachelorâ\200\231s <NA>
## 6720 Professional 0-49
## 6721 Masterâ\200\231s 50-249
## 6722 Masterâ\200\231s 0-49
## 6723 Masterâ\200\231s 50-249
## 6724 Doctoral > 10,000
## 6725 Masterâ\200\231s 1000-9,999
## 6726 Masterâ\200\231s 0-49
## 6727 Masterâ\200\231s <NA>
## 6728 Masterâ\200\231s 1000-9,999
## 6729 Masterâ\200\231s <NA>
## 6730 Bachelorâ\200\231s <NA>
## 6731 Masterâ\200\231s 0-49
## 6732 Doctoral 250-999
## 6733 Bachelorâ\200\231s <NA>
## 6734 Professional 0-49
## 6735 Masterâ\200\231s <NA>
## 6736 Masterâ\200\231s 50-249
## 6737 Masterâ\200\231s 250-999
## 6738 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 6739 Masterâ\200\231s <NA>
## 6740 Masterâ\200\231s 1000-9,999
## 6741 Doctoral 0-49
## 6742 Doctoral > 10,000
## 6743 Masterâ\200\231s 50-249
## 6744 Masterâ\200\231s 0-49
## 6745 Masterâ\200\231s > 10,000
## 6746 Doctoral 50-249
## 6747 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 6748 Professional > 10,000
## 6749 Bachelorâ\200\231s 50-249
## 6750 Doctoral 250-999
## 6751 Masterâ\200\231s 250-999
## 6752 Masterâ\200\231s > 10,000
## 6753 Bachelorâ\200\231s 50-249
## 6754 Masterâ\200\231s 1000-9,999
## 6755 Masterâ\200\231s > 10,000
## 6756 Doctoral 1000-9,999
## 6757 Masterâ\200\231s <NA>
## 6758 Bachelorâ\200\231s 50-249
## 6759 Masterâ\200\231s 50-249
## 6760 Doctoral > 10,000
## 6761 Doctoral 0-49
## 6762 Masterâ\200\231s > 10,000
## 6763 Bachelorâ\200\231s <NA>
## 6764 Masterâ\200\231s 1000-9,999
## 6765 Bachelorâ\200\231s 0-49
## 6766 Bachelorâ\200\231s 0-49
## 6767 Masterâ\200\231s <NA>
## 6768 No formal education past high school 0-49
## 6769 Doctoral > 10,000
## 6770 Masterâ\200\231s 0-49
## 6771 Masterâ\200\231s 50-249
## 6772 Masterâ\200\231s 1000-9,999
## 6773 Bachelorâ\200\231s 250-999
## 6774 Doctoral 250-999
## 6775 Bachelorâ\200\231s 0-49
## 6776 Masterâ\200\231s <NA>
## 6777 Masterâ\200\231s 1000-9,999
## 6778 Masterâ\200\231s 250-999
## 6779 Masterâ\200\231s 250-999
## 6780 I prefer not to answer 0-49
## 6781 Bachelorâ\200\231s <NA>
## 6782 Bachelorâ\200\231s 250-999
## 6783 Bachelorâ\200\231s <NA>
## 6784 Bachelorâ\200\231s <NA>
## 6785 Doctoral 50-249
## 6786 Professional 250-999
## 6787 Masterâ\200\231s <NA>
## 6788 Masterâ\200\231s 1000-9,999
## 6789 Bachelorâ\200\231s <NA>
## 6790 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 6791 Bachelorâ\200\231s 0-49
## 6792 Masterâ\200\231s <NA>
## 6793 Masterâ\200\231s 0-49
## 6794 Masterâ\200\231s 0-49
## 6795 Masterâ\200\231s 1000-9,999
## 6796 Masterâ\200\231s <NA>
## 6797 Bachelorâ\200\231s <NA>
## 6798 Professional 50-249
## 6799 Masterâ\200\231s 0-49
## 6800 Masterâ\200\231s 1000-9,999
## 6801 Masterâ\200\231s 250-999
## 6802 Bachelorâ\200\231s > 10,000
## 6803 Bachelorâ\200\231s 1000-9,999
## 6804 Masterâ\200\231s > 10,000
## 6805 Masterâ\200\231s 0-49
## 6806 Bachelorâ\200\231s 50-249
## 6807 Doctoral 0-49
## 6808 Bachelorâ\200\231s <NA>
## 6809 Bachelorâ\200\231s 0-49
## 6810 Doctoral <NA>
## 6811 Bachelorâ\200\231s 50-249
## 6812 Masterâ\200\231s > 10,000
## 6813 Masterâ\200\231s > 10,000
## 6814 Bachelorâ\200\231s 0-49
## 6815 Bachelorâ\200\231s <NA>
## 6816 Masterâ\200\231s 0-49
## 6817 Masterâ\200\231s 0-49
## 6818 Masterâ\200\231s 50-249
## 6819 Doctoral 0-49
## 6820 Masterâ\200\231s 50-249
## 6821 Masterâ\200\231s 0-49
## 6822 Masterâ\200\231s 0-49
## 6823 Masterâ\200\231s 0-49
## 6824 Masterâ\200\231s > 10,000
## 6825 Masterâ\200\231s <NA>
## 6826 Masterâ\200\231s 1000-9,999
## 6827 Bachelorâ\200\231s 0-49
## 6828 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 6829 Masterâ\200\231s > 10,000
## 6830 Doctoral 50-249
## 6831 Masterâ\200\231s > 10,000
## 6832 Masterâ\200\231s 250-999
## 6833 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 6834 Doctoral 1000-9,999
## 6835 Bachelorâ\200\231s 50-249
## 6836 Masterâ\200\231s 0-49
## 6837 Masterâ\200\231s 0-49
## 6838 Masterâ\200\231s > 10,000
## 6839 Bachelorâ\200\231s 0-49
## 6840 Bachelorâ\200\231s 50-249
## 6841 Doctoral 50-249
## 6842 Doctoral 250-999
## 6843 Bachelorâ\200\231s <NA>
## 6844 Doctoral > 10,000
## 6845 Masterâ\200\231s > 10,000
## 6846 Bachelorâ\200\231s 250-999
## 6847 Bachelorâ\200\231s <NA>
## 6848 Masterâ\200\231s 250-999
## 6849 Bachelorâ\200\231s 0-49
## 6850 Masterâ\200\231s > 10,000
## 6851 Masterâ\200\231s 250-999
## 6852 Masterâ\200\231s 0-49
## 6853 Bachelorâ\200\231s <NA>
## 6854 Professional <NA>
## 6855 Masterâ\200\231s <NA>
## 6856 Masterâ\200\231s <NA>
## 6857 Bachelorâ\200\231s <NA>
## 6858 Masterâ\200\231s 0-49
## 6859 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 6860 Bachelorâ\200\231s <NA>
## 6861 Doctoral 250-999
## 6862 Doctoral 0-49
## 6863 Masterâ\200\231s 1000-9,999
## 6864 Masterâ\200\231s <NA>
## 6865 Bachelorâ\200\231s 250-999
## 6866 Doctoral 1000-9,999
## 6867 Masterâ\200\231s <NA>
## 6868 Professional 0-49
## 6869 Masterâ\200\231s 50-249
## 6870 Masterâ\200\231s > 10,000
## 6871 Masterâ\200\231s <NA>
## 6872 Bachelorâ\200\231s 1000-9,999
## 6873 Doctoral > 10,000
## 6874 Bachelorâ\200\231s <NA>
## 6875 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 6876 Doctoral 250-999
## 6877 Bachelorâ\200\231s <NA>
## 6878 Bachelorâ\200\231s <NA>
## 6879 Masterâ\200\231s 1000-9,999
## 6880 Masterâ\200\231s > 10,000
## 6881 Bachelorâ\200\231s <NA>
## 6882 Masterâ\200\231s 1000-9,999
## 6883 Bachelorâ\200\231s <NA>
## 6884 Masterâ\200\231s <NA>
## 6885 Bachelorâ\200\231s 0-49
## 6886 Bachelorâ\200\231s 50-249
## 6887 Bachelorâ\200\231s 50-249
## 6888 Doctoral 250-999
## 6889 Masterâ\200\231s 1000-9,999
## 6890 Professional 0-49
## 6891 Masterâ\200\231s 0-49
## 6892 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 6893 Bachelorâ\200\231s 0-49
## 6894 Bachelorâ\200\231s 1000-9,999
## 6895 Masterâ\200\231s 0-49
## 6896 Bachelorâ\200\231s 1000-9,999
## 6897 I prefer not to answer 1000-9,999
## 6898 Doctoral > 10,000
## 6899 Masterâ\200\231s 1000-9,999
## 6900 Bachelorâ\200\231s 1000-9,999
## 6901 Masterâ\200\231s 50-249
## 6902 Masterâ\200\231s 1000-9,999
## 6903 Masterâ\200\231s 50-249
## 6904 Masterâ\200\231s > 10,000
## 6905 Doctoral 0-49
## 6906 Professional 1000-9,999
## 6907 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 6908 Masterâ\200\231s 1000-9,999
## 6909 Masterâ\200\231s <NA>
## 6910 Bachelorâ\200\231s > 10,000
## 6911 Masterâ\200\231s 50-249
## 6912 Masterâ\200\231s 1000-9,999
## 6913 Masterâ\200\231s 50-249
## 6914 Masterâ\200\231s 250-999
## 6915 Masterâ\200\231s 0-49
## 6916 Bachelorâ\200\231s > 10,000
## 6917 Bachelorâ\200\231s <NA>
## 6918 Doctoral <NA>
## 6919 Masterâ\200\231s <NA>
## 6920 Bachelorâ\200\231s <NA>
## 6921 Masterâ\200\231s <NA>
## 6922 Bachelorâ\200\231s 0-49
## 6923 Doctoral 0-49
## 6924 Masterâ\200\231s <NA>
## 6925 Masterâ\200\231s <NA>
## 6926 Masterâ\200\231s 1000-9,999
## 6927 Bachelorâ\200\231s 50-249
## 6928 Bachelorâ\200\231s 50-249
## 6929 Masterâ\200\231s <NA>
## 6930 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 6931 Doctoral 50-249
## 6932 Bachelorâ\200\231s <NA>
## 6933 Doctoral <NA>
## 6934 Masterâ\200\231s 50-249
## 6935 Masterâ\200\231s > 10,000
## 6936 Bachelorâ\200\231s <NA>
## 6937 Masterâ\200\231s > 10,000
## 6938 Bachelorâ\200\231s 1000-9,999
## 6939 Bachelorâ\200\231s <NA>
## 6940 Masterâ\200\231s 0-49
## 6941 Masterâ\200\231s 1000-9,999
## 6942 Bachelorâ\200\231s > 10,000
## 6943 Masterâ\200\231s > 10,000
## 6944 Bachelorâ\200\231s 1000-9,999
## 6945 Masterâ\200\231s 50-249
## 6946 Bachelorâ\200\231s <NA>
## 6947 Doctoral 0-49
## 6948 Masterâ\200\231s 0-49
## 6949 Bachelorâ\200\231s 50-249
## 6950 Masterâ\200\231s 50-249
## 6951 Masterâ\200\231s 1000-9,999
## 6952 Masterâ\200\231s 1000-9,999
## 6953 Masterâ\200\231s <NA>
## 6954 Masterâ\200\231s 0-49
## 6955 Bachelorâ\200\231s > 10,000
## 6956 Bachelorâ\200\231s <NA>
## 6957 Bachelorâ\200\231s <NA>
## 6958 Masterâ\200\231s <NA>
## 6959 Masterâ\200\231s <NA>
## 6960 Masterâ\200\231s > 10,000
## 6961 Masterâ\200\231s 50-249
## 6962 Doctoral 250-999
## 6963 Doctoral <NA>
## 6964 Masterâ\200\231s 50-249
## 6965 Doctoral 0-49
## 6966 Masterâ\200\231s > 10,000
## 6967 Doctoral 0-49
## 6968 Bachelorâ\200\231s <NA>
## 6969 Masterâ\200\231s <NA>
## 6970 No formal education past high school 250-999
## 6971 Doctoral 50-249
## 6972 Masterâ\200\231s 0-49
## 6973 Masterâ\200\231s 0-49
## 6974 Masterâ\200\231s 0-49
## 6975 Masterâ\200\231s > 10,000
## 6976 Doctoral > 10,000
## 6977 Bachelorâ\200\231s 50-249
## 6978 Bachelorâ\200\231s 250-999
## 6979 Masterâ\200\231s > 10,000
## 6980 Professional 0-49
## 6981 Doctoral 1000-9,999
## 6982 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 6983 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 6984 Doctoral 50-249
## 6985 Professional 1000-9,999
## 6986 Bachelorâ\200\231s 250-999
## 6987 Bachelorâ\200\231s 50-249
## 6988 Doctoral <NA>
## 6989 Masterâ\200\231s 0-49
## 6990 Bachelorâ\200\231s 250-999
## 6991 Masterâ\200\231s <NA>
## 6992 Bachelorâ\200\231s <NA>
## 6993 Bachelorâ\200\231s 50-249
## 6994 Doctoral 1000-9,999
## 6995 Doctoral > 10,000
## 6996 Masterâ\200\231s <NA>
## 6997 Bachelorâ\200\231s > 10,000
## 6998 Doctoral 50-249
## 6999 Masterâ\200\231s <NA>
## 7000 Masterâ\200\231s <NA>
## 7001 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 7002 Masterâ\200\231s 250-999
## 7003 Masterâ\200\231s 0-49
## 7004 Bachelorâ\200\231s <NA>
## 7005 Bachelorâ\200\231s 0-49
## 7006 Masterâ\200\231s 50-249
## 7007 Masterâ\200\231s 50-249
## 7008 Bachelorâ\200\231s > 10,000
## 7009 Bachelorâ\200\231s <NA>
## 7010 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 7011 Masterâ\200\231s 0-49
## 7012 Doctoral > 10,000
## 7013 Masterâ\200\231s > 10,000
## 7014 Bachelorâ\200\231s > 10,000
## 7015 No formal education past high school 250-999
## 7016 Masterâ\200\231s 1000-9,999
## 7017 Masterâ\200\231s 250-999
## 7018 Masterâ\200\231s 0-49
## 7019 Doctoral 1000-9,999
## 7020 Masterâ\200\231s 1000-9,999
## 7021 Bachelorâ\200\231s 250-999
## 7022 Doctoral 1000-9,999
## 7023 Masterâ\200\231s 0-49
## 7024 Bachelorâ\200\231s 1000-9,999
## 7025 Professional > 10,000
## 7026 Masterâ\200\231s 250-999
## 7027 Bachelorâ\200\231s 0-49
## 7028 Masterâ\200\231s 1000-9,999
## 7029 Bachelorâ\200\231s 0-49
## 7030 Bachelorâ\200\231s 50-249
## 7031 Bachelorâ\200\231s <NA>
## 7032 Bachelorâ\200\231s 250-999
## 7033 Doctoral 1000-9,999
## 7034 Masterâ\200\231s 50-249
## 7035 Doctoral 0-49
## 7036 Masterâ\200\231s 250-999
## 7037 Bachelorâ\200\231s <NA>
## 7038 Masterâ\200\231s > 10,000
## 7039 Doctoral 0-49
## 7040 Doctoral <NA>
## 7041 Doctoral 0-49
## 7042 Masterâ\200\231s <NA>
## 7043 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 7044 Doctoral 1000-9,999
## 7045 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 7046 Bachelorâ\200\231s <NA>
## 7047 Masterâ\200\231s 0-49
## 7048 Masterâ\200\231s <NA>
## 7049 Masterâ\200\231s 250-999
## 7050 Doctoral 0-49
## 7051 Masterâ\200\231s 250-999
## 7052 Doctoral 0-49
## 7053 Masterâ\200\231s <NA>
## 7054 Masterâ\200\231s 250-999
## 7055 Masterâ\200\231s 1000-9,999
## 7056 Bachelorâ\200\231s <NA>
## 7057 Masterâ\200\231s > 10,000
## 7058 Doctoral 1000-9,999
## 7059 Masterâ\200\231s <NA>
## 7060 Masterâ\200\231s 0-49
## 7061 Masterâ\200\231s 0-49
## 7062 Masterâ\200\231s > 10,000
## 7063 Masterâ\200\231s 0-49
## 7064 Masterâ\200\231s 50-249
## 7065 Bachelorâ\200\231s 0-49
## 7066 Doctoral 250-999
## 7067 Doctoral 50-249
## 7068 Bachelorâ\200\231s <NA>
## 7069 Masterâ\200\231s 50-249
## 7070 Bachelorâ\200\231s <NA>
## 7071 Masterâ\200\231s 250-999
## 7072 Masterâ\200\231s 1000-9,999
## 7073 Bachelorâ\200\231s 250-999
## 7074 Bachelorâ\200\231s <NA>
## 7075 I prefer not to answer > 10,000
## 7076 Doctoral 1000-9,999
## 7077 Bachelorâ\200\231s > 10,000
## 7078 Masterâ\200\231s 1000-9,999
## 7079 Bachelorâ\200\231s 0-49
## 7080 Doctoral 50-249
## 7081 Masterâ\200\231s 0-49
## 7082 Masterâ\200\231s 250-999
## 7083 Masterâ\200\231s <NA>
## 7084 Masterâ\200\231s 0-49
## 7085 Masterâ\200\231s 0-49
## 7086 Bachelorâ\200\231s 250-999
## 7087 Bachelorâ\200\231s 50-249
## 7088 Masterâ\200\231s > 10,000
## 7089 Masterâ\200\231s 0-49
## 7090 Masterâ\200\231s <NA>
## 7091 Bachelorâ\200\231s <NA>
## 7092 Doctoral 250-999
## 7093 Bachelorâ\200\231s > 10,000
## 7094 Bachelorâ\200\231s <NA>
## 7095 Bachelorâ\200\231s > 10,000
## 7096 Doctoral <NA>
## 7097 Bachelorâ\200\231s > 10,000
## 7098 Doctoral > 10,000
## 7099 Bachelorâ\200\231s <NA>
## 7100 Masterâ\200\231s <NA>
## 7101 Doctoral > 10,000
## 7102 Bachelorâ\200\231s 1000-9,999
## 7103 Doctoral 0-49
## 7104 Bachelorâ\200\231s 1000-9,999
## 7105 Masterâ\200\231s 1000-9,999
## 7106 Masterâ\200\231s 0-49
## 7107 Bachelorâ\200\231s 0-49
## 7108 Bachelorâ\200\231s <NA>
## 7109 Bachelorâ\200\231s 1000-9,999
## 7110 Bachelorâ\200\231s 0-49
## 7111 Masterâ\200\231s > 10,000
## 7112 Doctoral 0-49
## 7113 Masterâ\200\231s <NA>
## 7114 Masterâ\200\231s 250-999
## 7115 Masterâ\200\231s > 10,000
## 7116 Masterâ\200\231s <NA>
## 7117 Bachelorâ\200\231s <NA>
## 7118 Masterâ\200\231s <NA>
## 7119 Masterâ\200\231s 0-49
## 7120 Masterâ\200\231s 0-49
## 7121 Masterâ\200\231s <NA>
## 7122 Masterâ\200\231s 250-999
## 7123 Doctoral > 10,000
## 7124 Bachelorâ\200\231s <NA>
## 7125 Masterâ\200\231s 50-249
## 7126 Masterâ\200\231s <NA>
## 7127 Masterâ\200\231s 0-49
## 7128 Doctoral 0-49
## 7129 Masterâ\200\231s > 10,000
## 7130 Masterâ\200\231s 0-49
## 7131 Professional 0-49
## 7132 Bachelorâ\200\231s > 10,000
## 7133 Bachelorâ\200\231s <NA>
## 7134 I prefer not to answer <NA>
## 7135 Bachelorâ\200\231s > 10,000
## 7136 Doctoral 0-49
## 7137 Masterâ\200\231s 50-249
## 7138 Masterâ\200\231s 0-49
## 7139 Doctoral 1000-9,999
## 7140 Masterâ\200\231s <NA>
## 7141 Masterâ\200\231s 250-999
## 7142 Masterâ\200\231s 250-999
## 7143 Masterâ\200\231s <NA>
## 7144 Doctoral 250-999
## 7145 Doctoral 50-249
## 7146 Doctoral 1000-9,999
## 7147 Bachelorâ\200\231s 0-49
## 7148 I prefer not to answer <NA>
## 7149 Doctoral 0-49
## 7150 Masterâ\200\231s > 10,000
## 7151 Doctoral 1000-9,999
## 7152 Doctoral 250-999
## 7153 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 7154 Masterâ\200\231s > 10,000
## 7155 Bachelorâ\200\231s <NA>
## 7156 Professional 0-49
## 7157 Masterâ\200\231s 1000-9,999
## 7158 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 7159 Masterâ\200\231s 250-999
## 7160 Masterâ\200\231s <NA>
## 7161 Bachelorâ\200\231s <NA>
## 7162 Doctoral 0-49
## 7163 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 7164 Doctoral 0-49
## 7165 Masterâ\200\231s > 10,000
## 7166 Bachelorâ\200\231s 1000-9,999
## 7167 Bachelorâ\200\231s 250-999
## 7168 Bachelorâ\200\231s 250-999
## 7169 Bachelorâ\200\231s > 10,000
## 7170 Masterâ\200\231s > 10,000
## 7171 Doctoral <NA>
## 7172 Masterâ\200\231s 1000-9,999
## 7173 Masterâ\200\231s <NA>
## 7174 Bachelorâ\200\231s <NA>
## 7175 Masterâ\200\231s > 10,000
## 7176 Bachelorâ\200\231s <NA>
## 7177 Bachelorâ\200\231s 1000-9,999
## 7178 Doctoral 250-999
## 7179 Masterâ\200\231s > 10,000
## 7180 Masterâ\200\231s 50-249
## 7181 Bachelorâ\200\231s 0-49
## 7182 Bachelorâ\200\231s 0-49
## 7183 Masterâ\200\231s <NA>
## 7184 Doctoral 0-49
## 7185 Masterâ\200\231s <NA>
## 7186 Masterâ\200\231s > 10,000
## 7187 Doctoral 0-49
## 7188 Masterâ\200\231s 0-49
## 7189 Masterâ\200\231s 250-999
## 7190 Masterâ\200\231s <NA>
## 7191 Bachelorâ\200\231s <NA>
## 7192 Masterâ\200\231s 250-999
## 7193 Bachelorâ\200\231s <NA>
## 7194 Masterâ\200\231s <NA>
## 7195 Professional <NA>
## 7196 Masterâ\200\231s > 10,000
## 7197 Bachelorâ\200\231s 50-249
## 7198 Masterâ\200\231s <NA>
## 7199 Masterâ\200\231s 0-49
## 7200 Doctoral > 10,000
## 7201 Masterâ\200\231s 0-49
## 7202 Masterâ\200\231s 250-999
## 7203 Bachelorâ\200\231s <NA>
## 7204 Masterâ\200\231s 50-249
## 7205 Masterâ\200\231s 0-49
## 7206 Masterâ\200\231s > 10,000
## 7207 Masterâ\200\231s 50-249
## 7208 Masterâ\200\231s <NA>
## 7209 Bachelorâ\200\231s 1000-9,999
## 7210 Masterâ\200\231s 0-49
## 7211 Bachelorâ\200\231s 1000-9,999
## 7212 Masterâ\200\231s 0-49
## 7213 Masterâ\200\231s > 10,000
## 7214 Bachelorâ\200\231s 50-249
## 7215 Bachelorâ\200\231s <NA>
## 7216 Professional <NA>
## 7217 Bachelorâ\200\231s 0-49
## 7218 Bachelorâ\200\231s <NA>
## 7219 Masterâ\200\231s 50-249
## 7220 Bachelorâ\200\231s 50-249
## 7221 Bachelorâ\200\231s <NA>
## 7222 Masterâ\200\231s 50-249
## 7223 Bachelorâ\200\231s 0-49
## 7224 Masterâ\200\231s <NA>
## 7225 Bachelorâ\200\231s <NA>
## 7226 Masterâ\200\231s 0-49
## 7227 Masterâ\200\231s <NA>
## 7228 Bachelorâ\200\231s <NA>
## 7229 Masterâ\200\231s 250-999
## 7230 Bachelorâ\200\231s 50-249
## 7231 Bachelorâ\200\231s 250-999
## 7232 Masterâ\200\231s <NA>
## 7233 Doctoral 1000-9,999
## 7234 Bachelorâ\200\231s 1000-9,999
## 7235 Bachelorâ\200\231s 1000-9,999
## 7236 Doctoral 50-249
## 7237 Masterâ\200\231s 1000-9,999
## 7238 Bachelorâ\200\231s 250-999
## 7239 Masterâ\200\231s 50-249
## 7240 Bachelorâ\200\231s 250-999
## 7241 Masterâ\200\231s 1000-9,999
## 7242 Masterâ\200\231s 250-999
## 7243 Doctoral <NA>
## 7244 Bachelorâ\200\231s <NA>
## 7245 Masterâ\200\231s 0-49
## 7246 Masterâ\200\231s <NA>
## 7247 Masterâ\200\231s > 10,000
## 7248 Masterâ\200\231s 0-49
## 7249 Masterâ\200\231s > 10,000
## 7250 Masterâ\200\231s 0-49
## 7251 Bachelorâ\200\231s 0-49
## 7252 Bachelorâ\200\231s > 10,000
## 7253 Doctoral 0-49
## 7254 Masterâ\200\231s 1000-9,999
## 7255 Bachelorâ\200\231s 1000-9,999
## 7256 Bachelorâ\200\231s 250-999
## 7257 Masterâ\200\231s > 10,000
## 7258 Bachelorâ\200\231s 0-49
## 7259 Doctoral 0-49
## 7260 Bachelorâ\200\231s > 10,000
## 7261 Masterâ\200\231s <NA>
## 7262 Bachelorâ\200\231s 250-999
## 7263 Bachelorâ\200\231s 0-49
## 7264 Masterâ\200\231s 50-249
## 7265 Bachelorâ\200\231s > 10,000
## 7266 Doctoral <NA>
## 7267 Masterâ\200\231s > 10,000
## 7268 Masterâ\200\231s 1000-9,999
## 7269 Masterâ\200\231s > 10,000
## 7270 Masterâ\200\231s 0-49
## 7271 Masterâ\200\231s > 10,000
## 7272 Doctoral 0-49
## 7273 Bachelorâ\200\231s 250-999
## 7274 Bachelorâ\200\231s 0-49
## 7275 Masterâ\200\231s 1000-9,999
## 7276 Doctoral 250-999
## 7277 Doctoral 1000-9,999
## 7278 Professional 0-49
## 7279 Masterâ\200\231s 1000-9,999
## 7280 Masterâ\200\231s 0-49
## 7281 Masterâ\200\231s 250-999
## 7282 Masterâ\200\231s 1000-9,999
## 7283 Masterâ\200\231s 0-49
## 7284 Bachelorâ\200\231s 1000-9,999
## 7285 Masterâ\200\231s > 10,000
## 7286 Professional > 10,000
## 7287 Masterâ\200\231s 250-999
## 7288 Bachelorâ\200\231s > 10,000
## 7289 Masterâ\200\231s 1000-9,999
## 7290 Masterâ\200\231s 1000-9,999
## 7291 Masterâ\200\231s <NA>
## 7292 Masterâ\200\231s 0-49
## 7293 Bachelorâ\200\231s 0-49
## 7294 Bachelorâ\200\231s 0-49
## 7295 Doctoral <NA>
## 7296 Doctoral > 10,000
## 7297 Doctoral 50-249
## 7298 Doctoral 250-999
## 7299 Bachelorâ\200\231s 0-49
## 7300 Masterâ\200\231s > 10,000
## 7301 Masterâ\200\231s <NA>
## 7302 Bachelorâ\200\231s <NA>
## 7303 Bachelorâ\200\231s 1000-9,999
## 7304 Bachelorâ\200\231s <NA>
## 7305 Masterâ\200\231s 1000-9,999
## 7306 Masterâ\200\231s 50-249
## 7307 Professional <NA>
## 7308 Doctoral > 10,000
## 7309 Bachelorâ\200\231s 0-49
## 7310 Masterâ\200\231s > 10,000
## 7311 Masterâ\200\231s 1000-9,999
## 7312 Masterâ\200\231s > 10,000
## 7313 Masterâ\200\231s > 10,000
## 7314 Masterâ\200\231s > 10,000
## 7315 Masterâ\200\231s > 10,000
## 7316 Bachelorâ\200\231s 0-49
## 7317 Bachelorâ\200\231s <NA>
## 7318 Masterâ\200\231s 250-999
## 7319 Masterâ\200\231s 1000-9,999
## 7320 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 7321 Masterâ\200\231s 250-999
## 7322 Masterâ\200\231s 0-49
## 7323 Masterâ\200\231s 50-249
## 7324 Bachelorâ\200\231s 50-249
## 7325 Masterâ\200\231s 50-249
## 7326 Bachelorâ\200\231s 1000-9,999
## 7327 Masterâ\200\231s <NA>
## 7328 Masterâ\200\231s <NA>
## 7329 Doctoral 50-249
## 7330 Bachelorâ\200\231s <NA>
## 7331 Bachelorâ\200\231s <NA>
## 7332 Bachelorâ\200\231s 1000-9,999
## 7333 Masterâ\200\231s 0-49
## 7334 Masterâ\200\231s 1000-9,999
## 7335 Bachelorâ\200\231s 0-49
## 7336 Doctoral 250-999
## 7337 Masterâ\200\231s 50-249
## 7338 Bachelorâ\200\231s <NA>
## 7339 Doctoral 0-49
## 7340 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 7341 Bachelorâ\200\231s <NA>
## 7342 Bachelorâ\200\231s 0-49
## 7343 Masterâ\200\231s > 10,000
## 7344 Doctoral 50-249
## 7345 Bachelorâ\200\231s 0-49
## 7346 Masterâ\200\231s > 10,000
## 7347 Masterâ\200\231s <NA>
## 7348 Bachelorâ\200\231s 1000-9,999
## 7349 Bachelorâ\200\231s 50-249
## 7350 Bachelorâ\200\231s <NA>
## 7351 Masterâ\200\231s 1000-9,999
## 7352 Bachelorâ\200\231s > 10,000
## 7353 Masterâ\200\231s 0-49
## 7354 Masterâ\200\231s 0-49
## 7355 Masterâ\200\231s 1000-9,999
## 7356 Doctoral 0-49
## 7357 Bachelorâ\200\231s 1000-9,999
## 7358 Masterâ\200\231s <NA>
## 7359 Masterâ\200\231s 0-49
## 7360 Masterâ\200\231s <NA>
## 7361 No formal education past high school > 10,000
## 7362 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 7363 Doctoral 0-49
## 7364 Doctoral 250-999
## 7365 Masterâ\200\231s 50-249
## 7366 Masterâ\200\231s 1000-9,999
## 7367 Bachelorâ\200\231s 50-249
## 7368 Bachelorâ\200\231s <NA>
## 7369 Bachelorâ\200\231s > 10,000
## 7370 Bachelorâ\200\231s 0-49
## 7371 Masterâ\200\231s 50-249
## 7372 Masterâ\200\231s 0-49
## 7373 Bachelorâ\200\231s <NA>
## 7374 Masterâ\200\231s 1000-9,999
## 7375 Doctoral 0-49
## 7376 Bachelorâ\200\231s > 10,000
## 7377 Bachelorâ\200\231s 250-999
## 7378 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 7379 Doctoral 1000-9,999
## 7380 Bachelorâ\200\231s 50-249
## 7381 Doctoral 1000-9,999
## 7382 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 7383 No formal education past high school 0-49
## 7384 Masterâ\200\231s 50-249
## 7385 Bachelorâ\200\231s 50-249
## 7386 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 7387 Bachelorâ\200\231s > 10,000
## 7388 Bachelorâ\200\231s > 10,000
## 7389 Bachelorâ\200\231s 250-999
## 7390 Doctoral 1000-9,999
## 7391 Masterâ\200\231s 0-49
## 7392 Masterâ\200\231s 0-49
## 7393 Masterâ\200\231s 0-49
## 7394 Doctoral > 10,000
## 7395 Masterâ\200\231s 250-999
## 7396 Masterâ\200\231s 0-49
## 7397 Masterâ\200\231s 250-999
## 7398 Masterâ\200\231s <NA>
## 7399 Doctoral 0-49
## 7400 Bachelorâ\200\231s 250-999
## 7401 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 7402 Doctoral > 10,000
## 7403 Masterâ\200\231s > 10,000
## 7404 Masterâ\200\231s 50-249
## 7405 Masterâ\200\231s 1000-9,999
## 7406 Masterâ\200\231s 50-249
## 7407 Masterâ\200\231s 0-49
## 7408 Doctoral 1000-9,999
## 7409 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 7410 Masterâ\200\231s 250-999
## 7411 Masterâ\200\231s 50-249
## 7412 Bachelorâ\200\231s <NA>
## 7413 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 7414 Doctoral <NA>
## 7415 Professional 0-49
## 7416 Bachelorâ\200\231s <NA>
## 7417 Doctoral 0-49
## 7418 Bachelorâ\200\231s <NA>
## 7419 Bachelorâ\200\231s 50-249
## 7420 Masterâ\200\231s 0-49
## 7421 Bachelorâ\200\231s 250-999
## 7422 Doctoral 0-49
## 7423 Masterâ\200\231s <NA>
## 7424 Bachelorâ\200\231s <NA>
## 7425 Masterâ\200\231s <NA>
## 7426 Bachelorâ\200\231s > 10,000
## 7427 Doctoral 250-999
## 7428 Bachelorâ\200\231s 1000-9,999
## 7429 Masterâ\200\231s <NA>
## 7430 Bachelorâ\200\231s <NA>
## 7431 Bachelorâ\200\231s > 10,000
## 7432 Bachelorâ\200\231s <NA>
## 7433 Masterâ\200\231s 0-49
## 7434 Bachelorâ\200\231s <NA>
## 7435 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 7436 Masterâ\200\231s 250-999
## 7437 Doctoral <NA>
## 7438 Bachelorâ\200\231s 0-49
## 7439 Masterâ\200\231s <NA>
## 7440 Masterâ\200\231s > 10,000
## 7441 Doctoral <NA>
## 7442 Masterâ\200\231s 1000-9,999
## 7443 Bachelorâ\200\231s > 10,000
## 7444 Bachelorâ\200\231s 0-49
## 7445 Bachelorâ\200\231s 1000-9,999
## 7446 Bachelorâ\200\231s <NA>
## 7447 Bachelorâ\200\231s 0-49
## 7448 Masterâ\200\231s > 10,000
## 7449 I prefer not to answer 250-999
## 7450 Doctoral 1000-9,999
## 7451 Bachelorâ\200\231s 250-999
## 7452 Masterâ\200\231s > 10,000
## 7453 Bachelorâ\200\231s 1000-9,999
## 7454 Bachelorâ\200\231s > 10,000
## 7455 Bachelorâ\200\231s <NA>
## 7456 Masterâ\200\231s 0-49
## 7457 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 7458 Masterâ\200\231s 0-49
## 7459 I prefer not to answer 1000-9,999
## 7460 Doctoral 1000-9,999
## 7461 Masterâ\200\231s 250-999
## 7462 Professional > 10,000
## 7463 Doctoral 250-999
## 7464 Bachelorâ\200\231s 0-49
## 7465 Bachelorâ\200\231s <NA>
## 7466 Doctoral 50-249
## 7467 Masterâ\200\231s 1000-9,999
## 7468 Masterâ\200\231s 50-249
## 7469 Bachelorâ\200\231s 0-49
## 7470 Masterâ\200\231s 0-49
## 7471 No formal education past high school 1000-9,999
## 7472 Masterâ\200\231s 250-999
## 7473 Bachelorâ\200\231s 0-49
## 7474 Masterâ\200\231s 1000-9,999
## 7475 Masterâ\200\231s 0-49
## 7476 Doctoral 1000-9,999
## 7477 Masterâ\200\231s <NA>
## 7478 Bachelorâ\200\231s 0-49
## 7479 Bachelorâ\200\231s > 10,000
## 7480 Masterâ\200\231s <NA>
## 7481 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 7482 Doctoral 0-49
## 7483 Masterâ\200\231s 250-999
## 7484 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 7485 Masterâ\200\231s 1000-9,999
## 7486 Bachelorâ\200\231s 0-49
## 7487 Professional <NA>
## 7488 Doctoral <NA>
## 7489 Bachelorâ\200\231s 1000-9,999
## 7490 Bachelorâ\200\231s > 10,000
## 7491 Masterâ\200\231s 1000-9,999
## 7492 Masterâ\200\231s 50-249
## 7493 Masterâ\200\231s 50-249
## 7494 Masterâ\200\231s 0-49
## 7495 Bachelorâ\200\231s <NA>
## 7496 Doctoral 0-49
## 7497 I prefer not to answer 250-999
## 7498 Bachelorâ\200\231s 0-49
## 7499 Bachelorâ\200\231s 0-49
## 7500 Masterâ\200\231s <NA>
## 7501 Masterâ\200\231s 1000-9,999
## 7502 Bachelorâ\200\231s 0-49
## 7503 Masterâ\200\231s <NA>
## 7504 Professional 50-249
## 7505 Masterâ\200\231s 0-49
## 7506 Bachelorâ\200\231s 0-49
## 7507 Bachelorâ\200\231s <NA>
## 7508 Bachelorâ\200\231s 250-999
## 7509 Masterâ\200\231s <NA>
## 7510 Masterâ\200\231s 250-999
## 7511 Masterâ\200\231s 0-49
## 7512 Bachelorâ\200\231s 0-49
## 7513 Bachelorâ\200\231s 0-49
## 7514 Masterâ\200\231s 1000-9,999
## 7515 Masterâ\200\231s 1000-9,999
## 7516 Bachelorâ\200\231s 250-999
## 7517 Masterâ\200\231s > 10,000
## 7518 Masterâ\200\231s <NA>
## 7519 Masterâ\200\231s 1000-9,999
## 7520 Bachelorâ\200\231s 1000-9,999
## 7521 No formal education past high school <NA>
## 7522 Doctoral <NA>
## 7523 Masterâ\200\231s > 10,000
## 7524 Doctoral 1000-9,999
## 7525 Doctoral > 10,000
## 7526 Masterâ\200\231s 250-999
## 7527 Masterâ\200\231s > 10,000
## 7528 Masterâ\200\231s > 10,000
## 7529 Bachelorâ\200\231s 0-49
## 7530 I prefer not to answer 50-249
## 7531 Bachelorâ\200\231s 0-49
## 7532 Masterâ\200\231s 250-999
## 7533 Bachelorâ\200\231s 1000-9,999
## 7534 Professional 250-999
## 7535 Masterâ\200\231s 250-999
## 7536 Bachelorâ\200\231s 1000-9,999
## 7537 Masterâ\200\231s 0-49
## 7538 Doctoral 0-49
## 7539 Masterâ\200\231s <NA>
## 7540 Doctoral <NA>
## 7541 Doctoral <NA>
## 7542 Masterâ\200\231s <NA>
## 7543 Masterâ\200\231s <NA>
## 7544 Masterâ\200\231s 50-249
## 7545 Masterâ\200\231s 0-49
## 7546 Doctoral 1000-9,999
## 7547 Doctoral > 10,000
## 7548 Bachelorâ\200\231s 1000-9,999
## 7549 Bachelorâ\200\231s 1000-9,999
## 7550 Masterâ\200\231s <NA>
## 7551 Masterâ\200\231s 50-249
## 7552 Bachelorâ\200\231s 0-49
## 7553 Bachelorâ\200\231s > 10,000
## 7554 Bachelorâ\200\231s > 10,000
## 7555 Masterâ\200\231s 1000-9,999
## 7556 Masterâ\200\231s <NA>
## 7557 Bachelorâ\200\231s > 10,000
## 7558 Doctoral 1000-9,999
## 7559 Bachelorâ\200\231s <NA>
## 7560 I prefer not to answer 0-49
## 7561 Doctoral 0-49
## 7562 Masterâ\200\231s > 10,000
## 7563 Doctoral 250-999
## 7564 Bachelorâ\200\231s > 10,000
## 7565 Bachelorâ\200\231s <NA>
## 7566 Doctoral 250-999
## 7567 No formal education past high school 250-999
## 7568 Bachelorâ\200\231s 250-999
## 7569 Doctoral 250-999
## 7570 Bachelorâ\200\231s <NA>
## 7571 Bachelorâ\200\231s > 10,000
## 7572 Bachelorâ\200\231s <NA>
## 7573 No formal education past high school 0-49
## 7574 Masterâ\200\231s > 10,000
## 7575 Masterâ\200\231s <NA>
## 7576 Doctoral > 10,000
## 7577 Masterâ\200\231s 1000-9,999
## 7578 Bachelorâ\200\231s <NA>
## 7579 Doctoral 250-999
## 7580 Masterâ\200\231s <NA>
## 7581 Masterâ\200\231s > 10,000
## 7582 Bachelorâ\200\231s > 10,000
## 7583 Masterâ\200\231s <NA>
## 7584 Masterâ\200\231s 250-999
## 7585 Bachelorâ\200\231s <NA>
## 7586 Professional 50-249
## 7587 Masterâ\200\231s 50-249
## 7588 Bachelorâ\200\231s <NA>
## 7589 Bachelorâ\200\231s > 10,000
## 7590 Masterâ\200\231s <NA>
## 7591 Bachelorâ\200\231s <NA>
## 7592 Masterâ\200\231s <NA>
## 7593 Masterâ\200\231s <NA>
## 7594 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 7595 Masterâ\200\231s 0-49
## 7596 Bachelorâ\200\231s 250-999
## 7597 Doctoral 1000-9,999
## 7598 Masterâ\200\231s > 10,000
## 7599 Bachelorâ\200\231s 50-249
## 7600 Masterâ\200\231s <NA>
## 7601 Bachelorâ\200\231s <NA>
## 7602 Bachelorâ\200\231s <NA>
## 7603 Bachelorâ\200\231s 0-49
## 7604 Masterâ\200\231s > 10,000
## 7605 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 7606 Professional 50-249
## 7607 Masterâ\200\231s > 10,000
## 7608 Bachelorâ\200\231s <NA>
## 7609 Professional 50-249
## 7610 Masterâ\200\231s 1000-9,999
## 7611 Bachelorâ\200\231s 1000-9,999
## 7612 Masterâ\200\231s 1000-9,999
## 7613 Doctoral 0-49
## 7614 Bachelorâ\200\231s <NA>
## 7615 Bachelorâ\200\231s <NA>
## 7616 Doctoral 0-49
## 7617 Masterâ\200\231s 50-249
## 7618 Bachelorâ\200\231s <NA>
## 7619 Masterâ\200\231s 50-249
## 7620 Masterâ\200\231s > 10,000
## 7621 Bachelorâ\200\231s <NA>
## 7622 Masterâ\200\231s > 10,000
## 7623 Doctoral 50-249
## 7624 Bachelorâ\200\231s > 10,000
## 7625 Masterâ\200\231s 50-249
## 7626 Masterâ\200\231s 1000-9,999
## 7627 Masterâ\200\231s 250-999
## 7628 Professional <NA>
## 7629 Doctoral 50-249
## 7630 Masterâ\200\231s 250-999
## 7631 Masterâ\200\231s 0-49
## 7632 Bachelorâ\200\231s 50-249
## 7633 Masterâ\200\231s <NA>
## 7634 Masterâ\200\231s > 10,000
## 7635 Bachelorâ\200\231s 250-999
## 7636 Bachelorâ\200\231s <NA>
## 7637 Masterâ\200\231s <NA>
## 7638 Bachelorâ\200\231s <NA>
## 7639 Masterâ\200\231s 0-49
## 7640 Bachelorâ\200\231s 50-249
## 7641 Bachelorâ\200\231s 50-249
## 7642 Masterâ\200\231s 250-999
## 7643 Bachelorâ\200\231s > 10,000
## 7644 Bachelorâ\200\231s 1000-9,999
## 7645 Masterâ\200\231s 50-249
## 7646 Masterâ\200\231s > 10,000
## 7647 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 7648 Bachelorâ\200\231s <NA>
## 7649 Bachelorâ\200\231s > 10,000
## 7650 Bachelorâ\200\231s 250-999
## 7651 Masterâ\200\231s 0-49
## 7652 Masterâ\200\231s 250-999
## 7653 Bachelorâ\200\231s 250-999
## 7654 Bachelorâ\200\231s <NA>
## 7655 Doctoral > 10,000
## 7656 Bachelorâ\200\231s 50-249
## 7657 Masterâ\200\231s 0-49
## 7658 Bachelorâ\200\231s 50-249
## 7659 Doctoral 250-999
## 7660 Bachelorâ\200\231s <NA>
## 7661 Masterâ\200\231s 250-999
## 7662 Masterâ\200\231s 50-249
## 7663 Bachelorâ\200\231s > 10,000
## 7664 Masterâ\200\231s <NA>
## 7665 Bachelorâ\200\231s 250-999
## 7666 Masterâ\200\231s 1000-9,999
## 7667 Bachelorâ\200\231s 250-999
## 7668 Doctoral 1000-9,999
## 7669 Bachelorâ\200\231s 1000-9,999
## 7670 Masterâ\200\231s 50-249
## 7671 Bachelorâ\200\231s > 10,000
## 7672 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 7673 Bachelorâ\200\231s 0-49
## 7674 Bachelorâ\200\231s 0-49
## 7675 Masterâ\200\231s 0-49
## 7676 Masterâ\200\231s 0-49
## 7677 Bachelorâ\200\231s 1000-9,999
## 7678 Masterâ\200\231s 1000-9,999
## 7679 Masterâ\200\231s <NA>
## 7680 Bachelorâ\200\231s 0-49
## 7681 Bachelorâ\200\231s 1000-9,999
## 7682 Masterâ\200\231s 250-999
## 7683 Bachelorâ\200\231s 0-49
## 7684 Masterâ\200\231s 1000-9,999
## 7685 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 7686 Masterâ\200\231s 250-999
## 7687 Bachelorâ\200\231s 0-49
## 7688 Bachelorâ\200\231s <NA>
## 7689 Masterâ\200\231s > 10,000
## 7690 Masterâ\200\231s <NA>
## 7691 Doctoral 1000-9,999
## 7692 Bachelorâ\200\231s <NA>
## 7693 Masterâ\200\231s <NA>
## 7694 Doctoral 0-49
## 7695 Bachelorâ\200\231s <NA>
## 7696 Doctoral 1000-9,999
## 7697 Bachelorâ\200\231s 50-249
## 7698 Masterâ\200\231s 50-249
## 7699 Masterâ\200\231s > 10,000
## 7700 Doctoral 1000-9,999
## 7701 Doctoral 250-999
## 7702 Doctoral 1000-9,999
## 7703 Bachelorâ\200\231s > 10,000
## 7704 Masterâ\200\231s 250-999
## 7705 Bachelorâ\200\231s <NA>
## 7706 Masterâ\200\231s > 10,000
## 7707 Bachelorâ\200\231s 0-49
## 7708 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 7709 No formal education past high school <NA>
## 7710 Masterâ\200\231s 50-249
## 7711 Professional > 10,000
## 7712 Masterâ\200\231s > 10,000
## 7713 Bachelorâ\200\231s 250-999
## 7714 Bachelorâ\200\231s 0-49
## 7715 Masterâ\200\231s 1000-9,999
## 7716 Bachelorâ\200\231s > 10,000
## 7717 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 7718 Doctoral 250-999
## 7719 Masterâ\200\231s 50-249
## 7720 Doctoral 250-999
## 7721 Masterâ\200\231s <NA>
## 7722 Professional > 10,000
## 7723 Masterâ\200\231s 250-999
## 7724 Bachelorâ\200\231s > 10,000
## 7725 Masterâ\200\231s 0-49
## 7726 Bachelorâ\200\231s <NA>
## 7727 Doctoral <NA>
## 7728 Masterâ\200\231s 0-49
## 7729 Doctoral 50-249
## 7730 Doctoral 50-249
## 7731 Masterâ\200\231s 1000-9,999
## 7732 Bachelorâ\200\231s 0-49
## 7733 Bachelorâ\200\231s > 10,000
## 7734 Bachelorâ\200\231s 250-999
## 7735 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 7736 Bachelorâ\200\231s <NA>
## 7737 Bachelorâ\200\231s 1000-9,999
## 7738 Masterâ\200\231s > 10,000
## 7739 Professional > 10,000
## 7740 Bachelorâ\200\231s 0-49
## 7741 Masterâ\200\231s <NA>
## 7742 Bachelorâ\200\231s 50-249
## 7743 Masterâ\200\231s 0-49
## 7744 Masterâ\200\231s <NA>
## 7745 Bachelorâ\200\231s > 10,000
## 7746 Professional <NA>
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## 7748 Doctoral 50-249
## 7749 Masterâ\200\231s 250-999
## 7750 Bachelorâ\200\231s 250-999
## 7751 Masterâ\200\231s 50-249
## 7752 Masterâ\200\231s 50-249
## 7753 Masterâ\200\231s > 10,000
## 7754 Masterâ\200\231s <NA>
## 7755 Bachelorâ\200\231s 1000-9,999
## 7756 Masterâ\200\231s 0-49
## 7757 Masterâ\200\231s 0-49
## 7758 Masterâ\200\231s <NA>
## 7759 Doctoral 1000-9,999
## 7760 Bachelorâ\200\231s > 10,000
## 7761 Bachelorâ\200\231s <NA>
## 7762 Doctoral 0-49
## 7763 Masterâ\200\231s 250-999
## 7764 Bachelorâ\200\231s > 10,000
## 7765 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 7766 Masterâ\200\231s 1000-9,999
## 7767 Masterâ\200\231s 50-249
## 7768 Doctoral 0-49
## 7769 Bachelorâ\200\231s <NA>
## 7770 Masterâ\200\231s > 10,000
## 7771 Masterâ\200\231s <NA>
## 7772 Doctoral 0-49
## 7773 Masterâ\200\231s > 10,000
## 7774 Professional > 10,000
## 7775 Doctoral > 10,000
## 7776 Masterâ\200\231s 250-999
## 7777 Bachelorâ\200\231s <NA>
## 7778 Masterâ\200\231s <NA>
## 7779 I prefer not to answer 1000-9,999
## 7780 Doctoral 1000-9,999
## 7781 Doctoral 1000-9,999
## 7782 Doctoral 50-249
## 7783 Masterâ\200\231s > 10,000
## 7784 Masterâ\200\231s > 10,000
## 7785 Bachelorâ\200\231s 0-49
## 7786 Doctoral 1000-9,999
## 7787 Bachelorâ\200\231s > 10,000
## 7788 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 7789 Bachelorâ\200\231s <NA>
## 7790 Masterâ\200\231s 50-249
## 7791 Doctoral 0-49
## 7792 No formal education past high school <NA>
## 7793 I prefer not to answer 50-249
## 7794 Masterâ\200\231s 1000-9,999
## 7795 Masterâ\200\231s <NA>
## 7796 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 7797 Masterâ\200\231s 1000-9,999
## 7798 Masterâ\200\231s 0-49
## 7799 Bachelorâ\200\231s 50-249
## 7800 Bachelorâ\200\231s <NA>
## 7801 Masterâ\200\231s > 10,000
## 7802 Masterâ\200\231s <NA>
## 7803 Masterâ\200\231s > 10,000
## 7804 Masterâ\200\231s <NA>
## 7805 Masterâ\200\231s 50-249
## 7806 Masterâ\200\231s <NA>
## 7807 Bachelorâ\200\231s <NA>
## 7808 Bachelorâ\200\231s > 10,000
## 7809 Doctoral 50-249
## 7810 Masterâ\200\231s > 10,000
## 7811 Masterâ\200\231s <NA>
## 7812 Bachelorâ\200\231s > 10,000
## 7813 Masterâ\200\231s > 10,000
## 7814 Bachelorâ\200\231s 0-49
## 7815 Bachelorâ\200\231s 0-49
## 7816 Bachelorâ\200\231s > 10,000
## 7817 No formal education past high school 0-49
## 7818 Bachelorâ\200\231s <NA>
## 7819 Bachelorâ\200\231s > 10,000
## 7820 Masterâ\200\231s 250-999
## 7821 Masterâ\200\231s 0-49
## 7822 Masterâ\200\231s 250-999
## 7823 Bachelorâ\200\231s 250-999
## 7824 Masterâ\200\231s 50-249
## 7825 Masterâ\200\231s 1000-9,999
## 7826 Masterâ\200\231s 0-49
## 7827 Bachelorâ\200\231s 50-249
## 7828 Masterâ\200\231s 0-49
## 7829 Bachelorâ\200\231s 250-999
## 7830 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 7831 Bachelorâ\200\231s 1000-9,999
## 7832 Masterâ\200\231s 0-49
## 7833 Bachelorâ\200\231s <NA>
## 7834 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 7835 Doctoral 250-999
## 7836 Bachelorâ\200\231s <NA>
## 7837 Masterâ\200\231s 250-999
## 7838 Masterâ\200\231s 1000-9,999
## 7839 Masterâ\200\231s 250-999
## 7840 Bachelorâ\200\231s 0-49
## 7841 Masterâ\200\231s <NA>
## 7842 Doctoral 1000-9,999
## 7843 Doctoral 50-249
## 7844 Bachelorâ\200\231s <NA>
## 7845 Masterâ\200\231s 250-999
## 7846 Doctoral > 10,000
## 7847 Masterâ\200\231s 50-249
## 7848 Masterâ\200\231s 0-49
## 7849 Masterâ\200\231s <NA>
## 7850 Doctoral 1000-9,999
## 7851 Doctoral 1000-9,999
## 7852 I prefer not to answer 0-49
## 7853 Masterâ\200\231s > 10,000
## 7854 Bachelorâ\200\231s 0-49
## 7855 Masterâ\200\231s 250-999
## 7856 Masterâ\200\231s 0-49
## 7857 Bachelorâ\200\231s 0-49
## 7858 Doctoral > 10,000
## 7859 Masterâ\200\231s 50-249
## 7860 Bachelorâ\200\231s <NA>
## 7861 Bachelorâ\200\231s 0-49
## 7862 Bachelorâ\200\231s 50-249
## 7863 Masterâ\200\231s <NA>
## 7864 Doctoral 1000-9,999
## 7865 Masterâ\200\231s <NA>
## 7866 Masterâ\200\231s 0-49
## 7867 Bachelorâ\200\231s <NA>
## 7868 Masterâ\200\231s 50-249
## 7869 Doctoral 0-49
## 7870 Bachelorâ\200\231s 0-49
## 7871 Professional > 10,000
## 7872 Bachelorâ\200\231s <NA>
## 7873 Doctoral 1000-9,999
## 7874 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 7875 Bachelorâ\200\231s > 10,000
## 7876 Masterâ\200\231s <NA>
## 7877 Bachelorâ\200\231s 1000-9,999
## 7878 Masterâ\200\231s <NA>
## 7879 Bachelorâ\200\231s <NA>
## 7880 Bachelorâ\200\231s 0-49
## 7881 Masterâ\200\231s 0-49
## 7882 Bachelorâ\200\231s 1000-9,999
## 7883 Doctoral 50-249
## 7884 Bachelorâ\200\231s <NA>
## 7885 Masterâ\200\231s 1000-9,999
## 7886 Masterâ\200\231s > 10,000
## 7887 Professional 0-49
## 7888 Bachelorâ\200\231s <NA>
## 7889 Bachelorâ\200\231s 0-49
## 7890 Masterâ\200\231s <NA>
## 7891 Masterâ\200\231s > 10,000
## 7892 Masterâ\200\231s <NA>
## 7893 Masterâ\200\231s <NA>
## 7894 Bachelorâ\200\231s 50-249
## 7895 Doctoral 1000-9,999
## 7896 Masterâ\200\231s <NA>
## 7897 Doctoral <NA>
## 7898 Bachelorâ\200\231s 1000-9,999
## 7899 Masterâ\200\231s <NA>
## 7900 Bachelorâ\200\231s 1000-9,999
## 7901 Masterâ\200\231s 50-249
## 7902 Masterâ\200\231s 250-999
## 7903 Bachelorâ\200\231s 50-249
## 7904 Masterâ\200\231s 250-999
## 7905 Bachelorâ\200\231s 0-49
## 7906 Masterâ\200\231s 50-249
## 7907 Masterâ\200\231s <NA>
## 7908 Masterâ\200\231s 250-999
## 7909 Doctoral 0-49
## 7910 Masterâ\200\231s 0-49
## 7911 Masterâ\200\231s 1000-9,999
## 7912 Masterâ\200\231s 50-249
## 7913 Bachelorâ\200\231s <NA>
## 7914 Bachelorâ\200\231s <NA>
## 7915 Doctoral 250-999
## 7916 Bachelorâ\200\231s 1000-9,999
## 7917 Bachelorâ\200\231s <NA>
## 7918 Masterâ\200\231s 50-249
## 7919 Masterâ\200\231s > 10,000
## 7920 Masterâ\200\231s <NA>
## 7921 Masterâ\200\231s 250-999
## 7922 Bachelorâ\200\231s 0-49
## 7923 Masterâ\200\231s > 10,000
## 7924 Masterâ\200\231s 250-999
## 7925 Masterâ\200\231s 0-49
## 7926 Masterâ\200\231s 0-49
## 7927 Doctoral 50-249
## 7928 Masterâ\200\231s 250-999
## 7929 Masterâ\200\231s 250-999
## 7930 Masterâ\200\231s 0-49
## 7931 Masterâ\200\231s 0-49
## 7932 Doctoral > 10,000
## 7933 Doctoral 0-49
## 7934 Bachelorâ\200\231s <NA>
## 7935 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 7936 Masterâ\200\231s 1000-9,999
## 7937 Masterâ\200\231s 50-249
## 7938 No formal education past high school 50-249
## 7939 Doctoral 1000-9,999
## 7940 Masterâ\200\231s 50-249
## 7941 Professional 0-49
## 7942 Masterâ\200\231s > 10,000
## 7943 Bachelorâ\200\231s <NA>
## 7944 Masterâ\200\231s 0-49
## 7945 Bachelorâ\200\231s <NA>
## 7946 Bachelorâ\200\231s <NA>
## 7947 Masterâ\200\231s 250-999
## 7948 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 7949 Masterâ\200\231s 250-999
## 7950 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 7951 Masterâ\200\231s 1000-9,999
## 7952 Masterâ\200\231s 1000-9,999
## 7953 Masterâ\200\231s 250-999
## 7954 Masterâ\200\231s 1000-9,999
## 7955 Masterâ\200\231s 1000-9,999
## 7956 No formal education past high school <NA>
## 7957 Doctoral 0-49
## 7958 Bachelorâ\200\231s <NA>
## 7959 Bachelorâ\200\231s 0-49
## 7960 Professional 1000-9,999
## 7961 Bachelorâ\200\231s 0-49
## 7962 Masterâ\200\231s 0-49
## 7963 Professional <NA>
## 7964 Masterâ\200\231s 1000-9,999
## 7965 Doctoral 1000-9,999
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## 7967 Masterâ\200\231s > 10,000
## 7968 Masterâ\200\231s 1000-9,999
## 7969 Doctoral 0-49
## 7970 Masterâ\200\231s 0-49
## 7971 Professional 50-249
## 7972 Masterâ\200\231s 0-49
## 7973 Masterâ\200\231s 50-249
## 7974 Masterâ\200\231s 250-999
## 7975 Masterâ\200\231s > 10,000
## 7976 Bachelorâ\200\231s 1000-9,999
## 7977 Masterâ\200\231s 0-49
## 7978 Masterâ\200\231s 0-49
## 7979 Masterâ\200\231s > 10,000
## 7980 Professional 250-999
## 7981 Masterâ\200\231s > 10,000
## 7982 Doctoral <NA>
## 7983 Masterâ\200\231s 1000-9,999
## 7984 Masterâ\200\231s 1000-9,999
## 7985 Doctoral <NA>
## 7986 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 7987 Bachelorâ\200\231s 1000-9,999
## 7988 Masterâ\200\231s <NA>
## 7989 Masterâ\200\231s 0-49
## 7990 Masterâ\200\231s 50-249
## 7991 Doctoral 50-249
## 7992 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 7993 Masterâ\200\231s <NA>
## 7994 Bachelorâ\200\231s <NA>
## 7995 Masterâ\200\231s 50-249
## 7996 Masterâ\200\231s > 10,000
## 7997 Masterâ\200\231s 250-999
## 7998 Doctoral 250-999
## 7999 Masterâ\200\231s 1000-9,999
## 8000 Bachelorâ\200\231s > 10,000
## 8001 Bachelorâ\200\231s > 10,000
## 8002 Doctoral 1000-9,999
## 8003 Masterâ\200\231s 1000-9,999
## 8004 Bachelorâ\200\231s > 10,000
## 8005 Doctoral 0-49
## 8006 Bachelorâ\200\231s 250-999
## 8007 Masterâ\200\231s <NA>
## 8008 Bachelorâ\200\231s > 10,000
## 8009 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 8010 Bachelorâ\200\231s <NA>
## 8011 Bachelorâ\200\231s 0-49
## 8012 Masterâ\200\231s <NA>
## 8013 Masterâ\200\231s 50-249
## 8014 Masterâ\200\231s <NA>
## 8015 Doctoral 0-49
## 8016 Doctoral 0-49
## 8017 Masterâ\200\231s <NA>
## 8018 Masterâ\200\231s > 10,000
## 8019 Masterâ\200\231s 250-999
## 8020 Bachelorâ\200\231s 50-249
## 8021 Masterâ\200\231s <NA>
## 8022 Masterâ\200\231s 1000-9,999
## 8023 Bachelorâ\200\231s > 10,000
## 8024 Masterâ\200\231s > 10,000
## 8025 Masterâ\200\231s > 10,000
## 8026 Doctoral 50-249
## 8027 Masterâ\200\231s 1000-9,999
## 8028 Bachelorâ\200\231s > 10,000
## 8029 Bachelorâ\200\231s 250-999
## 8030 Masterâ\200\231s 1000-9,999
## 8031 Masterâ\200\231s 1000-9,999
## 8032 Bachelorâ\200\231s 250-999
## 8033 Professional 50-249
## 8034 Masterâ\200\231s 0-49
## 8035 Masterâ\200\231s 1000-9,999
## 8036 Masterâ\200\231s 250-999
## 8037 Doctoral 50-249
## 8038 Masterâ\200\231s 0-49
## 8039 Masterâ\200\231s 0-49
## 8040 Masterâ\200\231s <NA>
## 8041 Masterâ\200\231s 0-49
## 8042 Bachelorâ\200\231s 0-49
## 8043 Masterâ\200\231s <NA>
## 8044 Masterâ\200\231s 50-249
## 8045 Bachelorâ\200\231s <NA>
## 8046 Bachelorâ\200\231s <NA>
## 8047 Doctoral 0-49
## 8048 Masterâ\200\231s 1000-9,999
## 8049 Masterâ\200\231s 0-49
## 8050 Bachelorâ\200\231s 1000-9,999
## 8051 Masterâ\200\231s 0-49
## 8052 Professional 250-999
## 8053 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 8054 Masterâ\200\231s 250-999
## 8055 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 8056 Bachelorâ\200\231s 50-249
## 8057 Masterâ\200\231s 50-249
## 8058 Masterâ\200\231s 50-249
## 8059 Masterâ\200\231s 50-249
## 8060 Doctoral 1000-9,999
## 8061 Bachelorâ\200\231s <NA>
## 8062 Masterâ\200\231s > 10,000
## 8063 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 8064 Bachelorâ\200\231s > 10,000
## 8065 Masterâ\200\231s 0-49
## 8066 Doctoral 0-49
## 8067 Masterâ\200\231s 250-999
## 8068 I prefer not to answer 0-49
## 8069 Masterâ\200\231s 0-49
## 8070 Masterâ\200\231s <NA>
## 8071 Bachelorâ\200\231s 0-49
## 8072 Bachelorâ\200\231s 50-249
## 8073 Masterâ\200\231s 1000-9,999
## 8074 Doctoral <NA>
## 8075 Masterâ\200\231s 50-249
## 8076 Masterâ\200\231s 0-49
## 8077 Bachelorâ\200\231s <NA>
## 8078 Masterâ\200\231s 0-49
## 8079 Masterâ\200\231s 0-49
## 8080 Bachelorâ\200\231s <NA>
## 8081 Bachelorâ\200\231s 0-49
## 8082 Masterâ\200\231s 1000-9,999
## 8083 Masterâ\200\231s <NA>
## 8084 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8085 Bachelorâ\200\231s 1000-9,999
## 8086 Masterâ\200\231s <NA>
## 8087 Doctoral > 10,000
## 8088 Masterâ\200\231s > 10,000
## 8089 Masterâ\200\231s 1000-9,999
## 8090 Masterâ\200\231s > 10,000
## 8091 Doctoral 250-999
## 8092 Masterâ\200\231s 50-249
## 8093 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8094 Bachelorâ\200\231s 1000-9,999
## 8095 Doctoral 0-49
## 8096 Bachelorâ\200\231s 50-249
## 8097 Bachelorâ\200\231s 0-49
## 8098 Masterâ\200\231s 50-249
## 8099 Doctoral 50-249
## 8100 Doctoral 1000-9,999
## 8101 Masterâ\200\231s 1000-9,999
## 8102 Doctoral 0-49
## 8103 Doctoral <NA>
## 8104 Masterâ\200\231s 0-49
## 8105 Bachelorâ\200\231s 0-49
## 8106 Masterâ\200\231s 250-999
## 8107 Doctoral 250-999
## 8108 Bachelorâ\200\231s 50-249
## 8109 Doctoral 1000-9,999
## 8110 Masterâ\200\231s > 10,000
## 8111 Bachelorâ\200\231s 1000-9,999
## 8112 Masterâ\200\231s 50-249
## 8113 Masterâ\200\231s 0-49
## 8114 Masterâ\200\231s 1000-9,999
## 8115 Doctoral > 10,000
## 8116 Masterâ\200\231s 250-999
## 8117 Masterâ\200\231s > 10,000
## 8118 Bachelorâ\200\231s 0-49
## 8119 Bachelorâ\200\231s <NA>
## 8120 Masterâ\200\231s 50-249
## 8121 Masterâ\200\231s 0-49
## 8122 Professional > 10,000
## 8123 Doctoral <NA>
## 8124 Doctoral <NA>
## 8125 Masterâ\200\231s 250-999
## 8126 Doctoral 1000-9,999
## 8127 Masterâ\200\231s 250-999
## 8128 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 8129 Masterâ\200\231s 50-249
## 8130 Masterâ\200\231s <NA>
## 8131 Masterâ\200\231s 0-49
## 8132 Professional > 10,000
## 8133 Doctoral 0-49
## 8134 Masterâ\200\231s <NA>
## 8135 Masterâ\200\231s <NA>
## 8136 Masterâ\200\231s > 10,000
## 8137 Masterâ\200\231s <NA>
## 8138 Doctoral 50-249
## 8139 Masterâ\200\231s 0-49
## 8140 Masterâ\200\231s 50-249
## 8141 Masterâ\200\231s 1000-9,999
## 8142 Masterâ\200\231s 1000-9,999
## 8143 Masterâ\200\231s 0-49
## 8144 Masterâ\200\231s > 10,000
## 8145 Doctoral 250-999
## 8146 Doctoral > 10,000
## 8147 Doctoral 0-49
## 8148 Masterâ\200\231s <NA>
## 8149 Masterâ\200\231s 0-49
## 8150 Masterâ\200\231s 250-999
## 8151 Masterâ\200\231s > 10,000
## 8152 Masterâ\200\231s <NA>
## 8153 Masterâ\200\231s <NA>
## 8154 Masterâ\200\231s 50-249
## 8155 Professional 50-249
## 8156 Masterâ\200\231s <NA>
## 8157 Masterâ\200\231s 0-49
## 8158 Doctoral 0-49
## 8159 Masterâ\200\231s 1000-9,999
## 8160 Masterâ\200\231s > 10,000
## 8161 Masterâ\200\231s > 10,000
## 8162 Doctoral 0-49
## 8163 Bachelorâ\200\231s 50-249
## 8164 Bachelorâ\200\231s 0-49
## 8165 Masterâ\200\231s 1000-9,999
## 8166 Bachelorâ\200\231s <NA>
## 8167 Masterâ\200\231s <NA>
## 8168 Doctoral > 10,000
## 8169 Bachelorâ\200\231s > 10,000
## 8170 Bachelorâ\200\231s > 10,000
## 8171 Masterâ\200\231s <NA>
## 8172 Bachelorâ\200\231s 50-249
## 8173 Bachelorâ\200\231s 0-49
## 8174 Bachelorâ\200\231s 1000-9,999
## 8175 Masterâ\200\231s <NA>
## 8176 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 8177 Doctoral 50-249
## 8178 Masterâ\200\231s > 10,000
## 8179 Bachelorâ\200\231s 0-49
## 8180 Masterâ\200\231s 50-249
## 8181 Doctoral 0-49
## 8182 Doctoral 0-49
## 8183 Bachelorâ\200\231s <NA>
## 8184 Doctoral <NA>
## 8185 Masterâ\200\231s 0-49
## 8186 Masterâ\200\231s 50-249
## 8187 Doctoral 50-249
## 8188 Masterâ\200\231s > 10,000
## 8189 Masterâ\200\231s > 10,000
## 8190 Masterâ\200\231s <NA>
## 8191 Masterâ\200\231s <NA>
## 8192 I prefer not to answer 250-999
## 8193 Bachelorâ\200\231s 50-249
## 8194 Masterâ\200\231s > 10,000
## 8195 Doctoral 0-49
## 8196 Doctoral 0-49
## 8197 Doctoral 0-49
## 8198 Masterâ\200\231s 50-249
## 8199 Masterâ\200\231s 0-49
## 8200 Masterâ\200\231s <NA>
## 8201 Doctoral 0-49
## 8202 Masterâ\200\231s <NA>
## 8203 Bachelorâ\200\231s 0-49
## 8204 Bachelorâ\200\231s 0-49
## 8205 Masterâ\200\231s 250-999
## 8206 Professional 1000-9,999
## 8207 Masterâ\200\231s > 10,000
## 8208 Masterâ\200\231s 0-49
## 8209 Bachelorâ\200\231s <NA>
## 8210 Doctoral 250-999
## 8211 Masterâ\200\231s 50-249
## 8212 Doctoral > 10,000
## 8213 Masterâ\200\231s 250-999
## 8214 Masterâ\200\231s 0-49
## 8215 Bachelorâ\200\231s 0-49
## 8216 Bachelorâ\200\231s <NA>
## 8217 Doctoral 1000-9,999
## 8218 Masterâ\200\231s 1000-9,999
## 8219 Doctoral 1000-9,999
## 8220 Masterâ\200\231s 0-49
## 8221 Bachelorâ\200\231s <NA>
## 8222 Masterâ\200\231s 0-49
## 8223 Professional 0-49
## 8224 Bachelorâ\200\231s 0-49
## 8225 Bachelorâ\200\231s <NA>
## 8226 Doctoral > 10,000
## 8227 Masterâ\200\231s 50-249
## 8228 Doctoral <NA>
## 8229 Masterâ\200\231s 0-49
## 8230 Masterâ\200\231s 250-999
## 8231 Masterâ\200\231s > 10,000
## 8232 Bachelorâ\200\231s 1000-9,999
## 8233 Masterâ\200\231s 250-999
## 8234 Masterâ\200\231s 1000-9,999
## 8235 Masterâ\200\231s 50-249
## 8236 Masterâ\200\231s > 10,000
## 8237 Masterâ\200\231s 0-49
## 8238 Masterâ\200\231s <NA>
## 8239 Masterâ\200\231s 0-49
## 8240 Doctoral 1000-9,999
## 8241 Doctoral 250-999
## 8242 Masterâ\200\231s 50-249
## 8243 Masterâ\200\231s 50-249
## 8244 Bachelorâ\200\231s 0-49
## 8245 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 8246 Masterâ\200\231s > 10,000
## 8247 Bachelorâ\200\231s <NA>
## 8248 Bachelorâ\200\231s <NA>
## 8249 Doctoral 1000-9,999
## 8250 Bachelorâ\200\231s <NA>
## 8251 Doctoral 1000-9,999
## 8252 Masterâ\200\231s > 10,000
## 8253 Masterâ\200\231s > 10,000
## 8254 Doctoral 0-49
## 8255 Masterâ\200\231s 0-49
## 8256 Bachelorâ\200\231s 1000-9,999
## 8257 I prefer not to answer <NA>
## 8258 Bachelorâ\200\231s 1000-9,999
## 8259 Doctoral > 10,000
## 8260 Masterâ\200\231s 1000-9,999
## 8261 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8262 Doctoral 1000-9,999
## 8263 Doctoral > 10,000
## 8264 Bachelorâ\200\231s 0-49
## 8265 Masterâ\200\231s 1000-9,999
## 8266 Masterâ\200\231s <NA>
## 8267 Masterâ\200\231s 250-999
## 8268 Masterâ\200\231s <NA>
## 8269 Masterâ\200\231s > 10,000
## 8270 Bachelorâ\200\231s <NA>
## 8271 Masterâ\200\231s 50-249
## 8272 Masterâ\200\231s 250-999
## 8273 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 8274 I prefer not to answer <NA>
## 8275 Masterâ\200\231s 1000-9,999
## 8276 Masterâ\200\231s > 10,000
## 8277 Doctoral 1000-9,999
## 8278 Doctoral 0-49
## 8279 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 8280 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8281 Bachelorâ\200\231s <NA>
## 8282 Masterâ\200\231s 50-249
## 8283 Masterâ\200\231s 50-249
## 8284 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 8285 Doctoral 250-999
## 8286 Masterâ\200\231s 50-249
## 8287 Masterâ\200\231s <NA>
## 8288 Doctoral <NA>
## 8289 Masterâ\200\231s 0-49
## 8290 Doctoral 250-999
## 8291 Masterâ\200\231s > 10,000
## 8292 Masterâ\200\231s <NA>
## 8293 Masterâ\200\231s > 10,000
## 8294 Masterâ\200\231s 1000-9,999
## 8295 Masterâ\200\231s 1000-9,999
## 8296 Bachelorâ\200\231s 0-49
## 8297 Masterâ\200\231s 0-49
## 8298 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 8299 Doctoral 50-249
## 8300 Bachelorâ\200\231s > 10,000
## 8301 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8302 Masterâ\200\231s 0-49
## 8303 Bachelorâ\200\231s 0-49
## 8304 Masterâ\200\231s <NA>
## 8305 Bachelorâ\200\231s > 10,000
## 8306 Bachelorâ\200\231s <NA>
## 8307 Doctoral 1000-9,999
## 8308 Masterâ\200\231s 1000-9,999
## 8309 Bachelorâ\200\231s <NA>
## 8310 Masterâ\200\231s 0-49
## 8311 Masterâ\200\231s 0-49
## 8312 Masterâ\200\231s > 10,000
## 8313 Masterâ\200\231s 250-999
## 8314 Masterâ\200\231s 50-249
## 8315 Masterâ\200\231s 1000-9,999
## 8316 Bachelorâ\200\231s 250-999
## 8317 Doctoral > 10,000
## 8318 Masterâ\200\231s > 10,000
## 8319 No formal education past high school 1000-9,999
## 8320 Masterâ\200\231s 50-249
## 8321 Bachelorâ\200\231s <NA>
## 8322 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8323 Masterâ\200\231s 0-49
## 8324 Masterâ\200\231s <NA>
## 8325 Masterâ\200\231s > 10,000
## 8326 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8327 Masterâ\200\231s > 10,000
## 8328 Masterâ\200\231s > 10,000
## 8329 Doctoral > 10,000
## 8330 Masterâ\200\231s <NA>
## 8331 Masterâ\200\231s > 10,000
## 8332 Masterâ\200\231s 1000-9,999
## 8333 Masterâ\200\231s 1000-9,999
## 8334 Masterâ\200\231s > 10,000
## 8335 Masterâ\200\231s <NA>
## 8336 I prefer not to answer 50-249
## 8337 Doctoral 250-999
## 8338 Doctoral 1000-9,999
## 8339 Doctoral 250-999
## 8340 Bachelorâ\200\231s 0-49
## 8341 Masterâ\200\231s <NA>
## 8342 Masterâ\200\231s 0-49
## 8343 Doctoral 1000-9,999
## 8344 Professional 50-249
## 8345 Masterâ\200\231s 0-49
## 8346 Bachelorâ\200\231s 0-49
## 8347 Bachelorâ\200\231s 0-49
## 8348 Masterâ\200\231s 0-49
## 8349 Masterâ\200\231s <NA>
## 8350 Masterâ\200\231s <NA>
## 8351 Masterâ\200\231s <NA>
## 8352 Masterâ\200\231s 0-49
## 8353 Masterâ\200\231s 1000-9,999
## 8354 Bachelorâ\200\231s 1000-9,999
## 8355 Masterâ\200\231s 50-249
## 8356 Masterâ\200\231s <NA>
## 8357 Masterâ\200\231s 250-999
## 8358 Masterâ\200\231s <NA>
## 8359 Bachelorâ\200\231s > 10,000
## 8360 Bachelorâ\200\231s 1000-9,999
## 8361 Doctoral 0-49
## 8362 Masterâ\200\231s 0-49
## 8363 Masterâ\200\231s 1000-9,999
## 8364 Masterâ\200\231s 1000-9,999
## 8365 Masterâ\200\231s <NA>
## 8366 Masterâ\200\231s <NA>
## 8367 Masterâ\200\231s > 10,000
## 8368 Bachelorâ\200\231s 1000-9,999
## 8369 Masterâ\200\231s 1000-9,999
## 8370 Masterâ\200\231s 0-49
## 8371 Masterâ\200\231s 250-999
## 8372 Doctoral 250-999
## 8373 Masterâ\200\231s 1000-9,999
## 8374 Masterâ\200\231s <NA>
## 8375 Masterâ\200\231s 50-249
## 8376 Masterâ\200\231s > 10,000
## 8377 Masterâ\200\231s 50-249
## 8378 Masterâ\200\231s <NA>
## 8379 Masterâ\200\231s <NA>
## 8380 Doctoral <NA>
## 8381 Masterâ\200\231s 0-49
## 8382 Masterâ\200\231s <NA>
## 8383 Doctoral <NA>
## 8384 Masterâ\200\231s 50-249
## 8385 Doctoral 50-249
## 8386 Bachelorâ\200\231s > 10,000
## 8387 Professional 50-249
## 8388 Doctoral > 10,000
## 8389 Bachelorâ\200\231s 250-999
## 8390 Masterâ\200\231s 1000-9,999
## 8391 Doctoral 250-999
## 8392 Masterâ\200\231s <NA>
## 8393 Masterâ\200\231s > 10,000
## 8394 Masterâ\200\231s 1000-9,999
## 8395 Masterâ\200\231s <NA>
## 8396 Masterâ\200\231s 250-999
## 8397 Bachelorâ\200\231s 0-49
## 8398 Bachelorâ\200\231s 1000-9,999
## 8399 Masterâ\200\231s 1000-9,999
## 8400 Bachelorâ\200\231s 0-49
## 8401 No formal education past high school 0-49
## 8402 Masterâ\200\231s 0-49
## 8403 Masterâ\200\231s 1000-9,999
## 8404 Masterâ\200\231s > 10,000
## 8405 Doctoral 1000-9,999
## 8406 Masterâ\200\231s 50-249
## 8407 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 8408 Bachelorâ\200\231s 0-49
## 8409 I prefer not to answer 0-49
## 8410 Masterâ\200\231s 250-999
## 8411 Bachelorâ\200\231s 0-49
## 8412 Masterâ\200\231s 0-49
## 8413 Doctoral 250-999
## 8414 Masterâ\200\231s 250-999
## 8415 Masterâ\200\231s 0-49
## 8416 Masterâ\200\231s 0-49
## 8417 Masterâ\200\231s > 10,000
## 8418 Bachelorâ\200\231s <NA>
## 8419 Doctoral <NA>
## 8420 Masterâ\200\231s <NA>
## 8421 Masterâ\200\231s 0-49
## 8422 Masterâ\200\231s 0-49
## 8423 Masterâ\200\231s <NA>
## 8424 Masterâ\200\231s > 10,000
## 8425 Doctoral <NA>
## 8426 Masterâ\200\231s 0-49
## 8427 Masterâ\200\231s <NA>
## 8428 Bachelorâ\200\231s 0-49
## 8429 Doctoral <NA>
## 8430 Masterâ\200\231s 1000-9,999
## 8431 Masterâ\200\231s 250-999
## 8432 Masterâ\200\231s 0-49
## 8433 Masterâ\200\231s > 10,000
## 8434 Masterâ\200\231s > 10,000
## 8435 Masterâ\200\231s 0-49
## 8436 Masterâ\200\231s 1000-9,999
## 8437 Masterâ\200\231s 250-999
## 8438 Doctoral <NA>
## 8439 Masterâ\200\231s <NA>
## 8440 Doctoral 250-999
## 8441 Bachelorâ\200\231s 1000-9,999
## 8442 Masterâ\200\231s 1000-9,999
## 8443 Masterâ\200\231s 1000-9,999
## 8444 Masterâ\200\231s 50-249
## 8445 Bachelorâ\200\231s 1000-9,999
## 8446 Masterâ\200\231s > 10,000
## 8447 Bachelorâ\200\231s 50-249
## 8448 Masterâ\200\231s > 10,000
## 8449 Masterâ\200\231s 1000-9,999
## 8450 Masterâ\200\231s <NA>
## 8451 Bachelorâ\200\231s 0-49
## 8452 Bachelorâ\200\231s 0-49
## 8453 Masterâ\200\231s 0-49
## 8454 Professional 50-249
## 8455 No formal education past high school > 10,000
## 8456 Bachelorâ\200\231s <NA>
## 8457 Masterâ\200\231s <NA>
## 8458 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 8459 Masterâ\200\231s <NA>
## 8460 Bachelorâ\200\231s > 10,000
## 8461 Professional <NA>
## 8462 Masterâ\200\231s 250-999
## 8463 Masterâ\200\231s > 10,000
## 8464 Doctoral > 10,000
## 8465 Doctoral 1000-9,999
## 8466 Masterâ\200\231s > 10,000
## 8467 Bachelorâ\200\231s <NA>
## 8468 Masterâ\200\231s 1000-9,999
## 8469 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8470 Masterâ\200\231s > 10,000
## 8471 Masterâ\200\231s 250-999
## 8472 Masterâ\200\231s 50-249
## 8473 Doctoral 250-999
## 8474 Masterâ\200\231s <NA>
## 8475 Masterâ\200\231s 0-49
## 8476 Bachelorâ\200\231s 50-249
## 8477 Bachelorâ\200\231s > 10,000
## 8478 Bachelorâ\200\231s 0-49
## 8479 Bachelorâ\200\231s > 10,000
## 8480 Masterâ\200\231s 0-49
## 8481 Masterâ\200\231s > 10,000
## 8482 Bachelorâ\200\231s 0-49
## 8483 Bachelorâ\200\231s 1000-9,999
## 8484 Bachelorâ\200\231s 1000-9,999
## 8485 Bachelorâ\200\231s 50-249
## 8486 Bachelorâ\200\231s 1000-9,999
## 8487 Bachelorâ\200\231s <NA>
## 8488 Masterâ\200\231s 0-49
## 8489 Masterâ\200\231s 50-249
## 8490 No formal education past high school <NA>
## 8491 Bachelorâ\200\231s 0-49
## 8492 Masterâ\200\231s <NA>
## 8493 Masterâ\200\231s 1000-9,999
## 8494 Masterâ\200\231s > 10,000
## 8495 Masterâ\200\231s 250-999
## 8496 Masterâ\200\231s <NA>
## 8497 Masterâ\200\231s > 10,000
## 8498 Professional 0-49
## 8499 Masterâ\200\231s > 10,000
## 8500 Masterâ\200\231s 250-999
## 8501 Masterâ\200\231s 50-249
## 8502 Doctoral > 10,000
## 8503 Doctoral <NA>
## 8504 Bachelorâ\200\231s > 10,000
## 8505 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8506 Masterâ\200\231s 50-249
## 8507 Doctoral 0-49
## 8508 Bachelorâ\200\231s <NA>
## 8509 Doctoral 0-49
## 8510 Doctoral 0-49
## 8511 Masterâ\200\231s 1000-9,999
## 8512 Doctoral <NA>
## 8513 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 8514 Bachelorâ\200\231s 0-49
## 8515 I prefer not to answer 0-49
## 8516 Bachelorâ\200\231s 0-49
## 8517 Bachelorâ\200\231s 0-49
## 8518 Masterâ\200\231s > 10,000
## 8519 Masterâ\200\231s <NA>
## 8520 Masterâ\200\231s > 10,000
## 8521 Bachelorâ\200\231s <NA>
## 8522 Bachelorâ\200\231s 0-49
## 8523 Doctoral 0-49
## 8524 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8525 Masterâ\200\231s 250-999
## 8526 Bachelorâ\200\231s <NA>
## 8527 Bachelorâ\200\231s 1000-9,999
## 8528 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8529 Bachelorâ\200\231s <NA>
## 8530 Masterâ\200\231s > 10,000
## 8531 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 8532 Doctoral 250-999
## 8533 Masterâ\200\231s 0-49
## 8534 Bachelorâ\200\231s 0-49
## 8535 Masterâ\200\231s 0-49
## 8536 Masterâ\200\231s > 10,000
## 8537 Masterâ\200\231s 0-49
## 8538 Masterâ\200\231s <NA>
## 8539 Bachelorâ\200\231s <NA>
## 8540 Doctoral 1000-9,999
## 8541 Masterâ\200\231s 0-49
## 8542 Doctoral 250-999
## 8543 Bachelorâ\200\231s <NA>
## 8544 Bachelorâ\200\231s <NA>
## 8545 Doctoral 0-49
## 8546 Doctoral 1000-9,999
## 8547 Bachelorâ\200\231s <NA>
## 8548 Masterâ\200\231s 50-249
## 8549 Bachelorâ\200\231s 0-49
## 8550 Bachelorâ\200\231s <NA>
## 8551 Masterâ\200\231s 0-49
## 8552 I prefer not to answer 0-49
## 8553 Masterâ\200\231s 0-49
## 8554 Masterâ\200\231s 1000-9,999
## 8555 Bachelorâ\200\231s 0-49
## 8556 Masterâ\200\231s <NA>
## 8557 Bachelorâ\200\231s 1000-9,999
## 8558 Bachelorâ\200\231s <NA>
## 8559 Masterâ\200\231s <NA>
## 8560 Masterâ\200\231s 250-999
## 8561 Masterâ\200\231s 0-49
## 8562 Masterâ\200\231s 50-249
## 8563 Masterâ\200\231s > 10,000
## 8564 Doctoral 50-249
## 8565 Doctoral <NA>
## 8566 Masterâ\200\231s 250-999
## 8567 Doctoral 1000-9,999
## 8568 Doctoral <NA>
## 8569 Masterâ\200\231s 1000-9,999
## 8570 Masterâ\200\231s 250-999
## 8571 Masterâ\200\231s <NA>
## 8572 Masterâ\200\231s <NA>
## 8573 Masterâ\200\231s 0-49
## 8574 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 8575 Masterâ\200\231s > 10,000
## 8576 Masterâ\200\231s 1000-9,999
## 8577 Bachelorâ\200\231s 0-49
## 8578 Bachelorâ\200\231s > 10,000
## 8579 Bachelorâ\200\231s <NA>
## 8580 Masterâ\200\231s 1000-9,999
## 8581 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8582 Doctoral 1000-9,999
## 8583 Doctoral 250-999
## 8584 Masterâ\200\231s 0-49
## 8585 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 8586 Masterâ\200\231s <NA>
## 8587 Masterâ\200\231s 0-49
## 8588 Masterâ\200\231s 0-49
## 8589 Masterâ\200\231s 50-249
## 8590 Masterâ\200\231s 50-249
## 8591 Masterâ\200\231s <NA>
## 8592 Doctoral 1000-9,999
## 8593 Masterâ\200\231s 0-49
## 8594 Masterâ\200\231s 1000-9,999
## 8595 Masterâ\200\231s <NA>
## 8596 Bachelorâ\200\231s 0-49
## 8597 Doctoral > 10,000
## 8598 Masterâ\200\231s 1000-9,999
## 8599 Masterâ\200\231s 0-49
## 8600 Masterâ\200\231s > 10,000
## 8601 Doctoral <NA>
## 8602 Masterâ\200\231s 0-49
## 8603 Masterâ\200\231s > 10,000
## 8604 Masterâ\200\231s 0-49
## 8605 Professional 0-49
## 8606 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 8607 Masterâ\200\231s 50-249
## 8608 Masterâ\200\231s > 10,000
## 8609 Masterâ\200\231s 0-49
## 8610 Masterâ\200\231s 1000-9,999
## 8611 Masterâ\200\231s > 10,000
## 8612 Masterâ\200\231s 50-249
## 8613 Masterâ\200\231s 1000-9,999
## 8614 Doctoral > 10,000
## 8615 Doctoral 1000-9,999
## 8616 Masterâ\200\231s > 10,000
## 8617 Bachelorâ\200\231s > 10,000
## 8618 Bachelorâ\200\231s 250-999
## 8619 Bachelorâ\200\231s 50-249
## 8620 Masterâ\200\231s <NA>
## 8621 Bachelorâ\200\231s 0-49
## 8622 Masterâ\200\231s 1000-9,999
## 8623 Bachelorâ\200\231s 1000-9,999
## 8624 Masterâ\200\231s 1000-9,999
## 8625 Masterâ\200\231s > 10,000
## 8626 Masterâ\200\231s <NA>
## 8627 Masterâ\200\231s 0-49
## 8628 Doctoral 50-249
## 8629 Masterâ\200\231s 50-249
## 8630 Bachelorâ\200\231s <NA>
## 8631 Masterâ\200\231s 250-999
## 8632 Masterâ\200\231s > 10,000
## 8633 Masterâ\200\231s 1000-9,999
## 8634 Masterâ\200\231s > 10,000
## 8635 Bachelorâ\200\231s 1000-9,999
## 8636 Bachelorâ\200\231s <NA>
## 8637 Bachelorâ\200\231s 1000-9,999
## 8638 Masterâ\200\231s > 10,000
## 8639 Masterâ\200\231s <NA>
## 8640 Masterâ\200\231s > 10,000
## 8641 Masterâ\200\231s 1000-9,999
## 8642 Bachelorâ\200\231s <NA>
## 8643 Doctoral 0-49
## 8644 Bachelorâ\200\231s > 10,000
## 8645 Bachelorâ\200\231s > 10,000
## 8646 Bachelorâ\200\231s > 10,000
## 8647 Bachelorâ\200\231s 0-49
## 8648 Masterâ\200\231s > 10,000
## 8649 Professional 0-49
## 8650 Masterâ\200\231s <NA>
## 8651 Bachelorâ\200\231s 0-49
## 8652 Bachelorâ\200\231s <NA>
## 8653 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8654 Doctoral 250-999
## 8655 Masterâ\200\231s <NA>
## 8656 Doctoral 250-999
## 8657 Bachelorâ\200\231s 50-249
## 8658 Bachelorâ\200\231s > 10,000
## 8659 Masterâ\200\231s 0-49
## 8660 Masterâ\200\231s 0-49
## 8661 Doctoral > 10,000
## 8662 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8663 Masterâ\200\231s <NA>
## 8664 Doctoral 1000-9,999
## 8665 Masterâ\200\231s 1000-9,999
## 8666 Bachelorâ\200\231s <NA>
## 8667 Doctoral 0-49
## 8668 No formal education past high school 0-49
## 8669 Masterâ\200\231s <NA>
## 8670 Bachelorâ\200\231s 0-49
## 8671 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8672 Masterâ\200\231s 0-49
## 8673 Masterâ\200\231s > 10,000
## 8674 Masterâ\200\231s 1000-9,999
## 8675 Doctoral 0-49
## 8676 Doctoral <NA>
## 8677 Bachelorâ\200\231s <NA>
## 8678 No formal education past high school > 10,000
## 8679 Masterâ\200\231s 50-249
## 8680 Bachelorâ\200\231s <NA>
## 8681 Bachelorâ\200\231s 0-49
## 8682 Masterâ\200\231s 1000-9,999
## 8683 Bachelorâ\200\231s 0-49
## 8684 Masterâ\200\231s <NA>
## 8685 Masterâ\200\231s 1000-9,999
## 8686 Masterâ\200\231s 0-49
## 8687 Masterâ\200\231s 50-249
## 8688 Doctoral 0-49
## 8689 Masterâ\200\231s 50-249
## 8690 Masterâ\200\231s 50-249
## 8691 Masterâ\200\231s 50-249
## 8692 Masterâ\200\231s 1000-9,999
## 8693 Bachelorâ\200\231s 250-999
## 8694 Masterâ\200\231s 0-49
## 8695 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8696 Masterâ\200\231s 1000-9,999
## 8697 Masterâ\200\231s 50-249
## 8698 I prefer not to answer 50-249
## 8699 Bachelorâ\200\231s 1000-9,999
## 8700 No formal education past high school <NA>
## 8701 Doctoral 0-49
## 8702 Masterâ\200\231s 0-49
## 8703 Masterâ\200\231s 50-249
## 8704 Bachelorâ\200\231s 50-249
## 8705 Masterâ\200\231s 50-249
## 8706 Doctoral 0-49
## 8707 Masterâ\200\231s > 10,000
## 8708 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 8709 Masterâ\200\231s 1000-9,999
## 8710 Professional 0-49
## 8711 Bachelorâ\200\231s <NA>
## 8712 Masterâ\200\231s <NA>
## 8713 Masterâ\200\231s 1000-9,999
## 8714 Professional 50-249
## 8715 Doctoral 0-49
## 8716 Bachelorâ\200\231s <NA>
## 8717 Bachelorâ\200\231s 0-49
## 8718 Masterâ\200\231s 0-49
## 8719 Doctoral 250-999
## 8720 Masterâ\200\231s 0-49
## 8721 Masterâ\200\231s <NA>
## 8722 Masterâ\200\231s 1000-9,999
## 8723 Doctoral 250-999
## 8724 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 8725 Masterâ\200\231s <NA>
## 8726 No formal education past high school 0-49
## 8727 Bachelorâ\200\231s 0-49
## 8728 Bachelorâ\200\231s 1000-9,999
## 8729 Masterâ\200\231s <NA>
## 8730 Bachelorâ\200\231s 250-999
## 8731 Bachelorâ\200\231s 50-249
## 8732 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 8733 Bachelorâ\200\231s > 10,000
## 8734 Doctoral <NA>
## 8735 Masterâ\200\231s > 10,000
## 8736 Bachelorâ\200\231s <NA>
## 8737 Bachelorâ\200\231s 1000-9,999
## 8738 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 8739 Doctoral 50-249
## 8740 Masterâ\200\231s 0-49
## 8741 Masterâ\200\231s 0-49
## 8742 Bachelorâ\200\231s 1000-9,999
## 8743 Bachelorâ\200\231s <NA>
## 8744 Masterâ\200\231s 250-999
## 8745 Masterâ\200\231s <NA>
## 8746 Masterâ\200\231s <NA>
## 8747 Bachelorâ\200\231s 50-249
## 8748 Bachelorâ\200\231s 0-49
## 8749 Masterâ\200\231s 1000-9,999
## 8750 Bachelorâ\200\231s > 10,000
## 8751 Bachelorâ\200\231s 0-49
## 8752 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8753 Masterâ\200\231s 250-999
## 8754 Doctoral 1000-9,999
## 8755 Professional 50-249
## 8756 Bachelorâ\200\231s <NA>
## 8757 I prefer not to answer 50-249
## 8758 Masterâ\200\231s > 10,000
## 8759 Bachelorâ\200\231s > 10,000
## 8760 Bachelorâ\200\231s <NA>
## 8761 Bachelorâ\200\231s 50-249
## 8762 Bachelorâ\200\231s 50-249
## 8763 Doctoral 50-249
## 8764 Masterâ\200\231s 250-999
## 8765 Masterâ\200\231s > 10,000
## 8766 Bachelorâ\200\231s 1000-9,999
## 8767 Doctoral 1000-9,999
## 8768 Masterâ\200\231s 0-49
## 8769 Bachelorâ\200\231s > 10,000
## 8770 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 8771 Masterâ\200\231s 1000-9,999
## 8772 Masterâ\200\231s > 10,000
## 8773 Masterâ\200\231s 1000-9,999
## 8774 Bachelorâ\200\231s <NA>
## 8775 Doctoral 1000-9,999
## 8776 Masterâ\200\231s 250-999
## 8777 Bachelorâ\200\231s <NA>
## 8778 Doctoral > 10,000
## 8779 Masterâ\200\231s > 10,000
## 8780 Bachelorâ\200\231s <NA>
## 8781 Doctoral 250-999
## 8782 Masterâ\200\231s <NA>
## 8783 Masterâ\200\231s <NA>
## 8784 Masterâ\200\231s 0-49
## 8785 Doctoral 1000-9,999
## 8786 Doctoral 1000-9,999
## 8787 Masterâ\200\231s 0-49
## 8788 Professional 1000-9,999
## 8789 Masterâ\200\231s > 10,000
## 8790 Bachelorâ\200\231s 50-249
## 8791 Masterâ\200\231s 50-249
## 8792 Bachelorâ\200\231s > 10,000
## 8793 Bachelorâ\200\231s 50-249
## 8794 Doctoral 50-249
## 8795 Masterâ\200\231s 50-249
## 8796 Bachelorâ\200\231s <NA>
## 8797 Masterâ\200\231s 50-249
## 8798 Professional 50-249
## 8799 Bachelorâ\200\231s <NA>
## 8800 Masterâ\200\231s 250-999
## 8801 Masterâ\200\231s 1000-9,999
## 8802 Doctoral 1000-9,999
## 8803 Bachelorâ\200\231s 0-49
## 8804 Doctoral > 10,000
## 8805 I prefer not to answer 1000-9,999
## 8806 Masterâ\200\231s 0-49
## 8807 Bachelorâ\200\231s 0-49
## 8808 Bachelorâ\200\231s 1000-9,999
## 8809 Bachelorâ\200\231s <NA>
## 8810 Masterâ\200\231s <NA>
## 8811 Doctoral <NA>
## 8812 No formal education past high school 0-49
## 8813 Doctoral 1000-9,999
## 8814 Bachelorâ\200\231s 1000-9,999
## 8815 Bachelorâ\200\231s <NA>
## 8816 Professional > 10,000
## 8817 Bachelorâ\200\231s 0-49
## 8818 Professional 0-49
## 8819 Masterâ\200\231s 0-49
## 8820 Bachelorâ\200\231s 0-49
## 8821 Masterâ\200\231s <NA>
## 8822 Masterâ\200\231s 50-249
## 8823 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 8824 Bachelorâ\200\231s 50-249
## 8825 Bachelorâ\200\231s 1000-9,999
## 8826 Professional 0-49
## 8827 Doctoral 0-49
## 8828 I prefer not to answer <NA>
## 8829 Bachelorâ\200\231s <NA>
## 8830 Masterâ\200\231s > 10,000
## 8831 Doctoral > 10,000
## 8832 Masterâ\200\231s 50-249
## 8833 Masterâ\200\231s 1000-9,999
## 8834 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 8835 Bachelorâ\200\231s <NA>
## 8836 Bachelorâ\200\231s 250-999
## 8837 Masterâ\200\231s > 10,000
## 8838 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 8839 Masterâ\200\231s 1000-9,999
## 8840 Doctoral > 10,000
## 8841 Masterâ\200\231s 1000-9,999
## 8842 Masterâ\200\231s > 10,000
## 8843 Bachelorâ\200\231s <NA>
## 8844 Bachelorâ\200\231s 1000-9,999
## 8845 Masterâ\200\231s 0-49
## 8846 Masterâ\200\231s > 10,000
## 8847 Doctoral > 10,000
## 8848 Bachelorâ\200\231s > 10,000
## 8849 Bachelorâ\200\231s <NA>
## 8850 Bachelorâ\200\231s <NA>
## 8851 Masterâ\200\231s 0-49
## 8852 No formal education past high school <NA>
## 8853 Masterâ\200\231s > 10,000
## 8854 Masterâ\200\231s 1000-9,999
## 8855 Masterâ\200\231s 50-249
## 8856 Doctoral 1000-9,999
## 8857 Bachelorâ\200\231s 1000-9,999
## 8858 I prefer not to answer 0-49
## 8859 Bachelorâ\200\231s <NA>
## 8860 Masterâ\200\231s <NA>
## 8861 Doctoral 0-49
## 8862 Masterâ\200\231s 250-999
## 8863 I prefer not to answer 250-999
## 8864 Masterâ\200\231s <NA>
## 8865 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 8866 I prefer not to answer 250-999
## 8867 Masterâ\200\231s 1000-9,999
## 8868 Bachelorâ\200\231s 1000-9,999
## 8869 Doctoral > 10,000
## 8870 Doctoral > 10,000
## 8871 Doctoral 1000-9,999
## 8872 Masterâ\200\231s <NA>
## 8873 Masterâ\200\231s 1000-9,999
## 8874 Doctoral 0-49
## 8875 Doctoral <NA>
## 8876 Bachelorâ\200\231s 0-49
## 8877 Masterâ\200\231s > 10,000
## 8878 Masterâ\200\231s 0-49
## 8879 Doctoral 50-249
## 8880 Bachelorâ\200\231s > 10,000
## 8881 Masterâ\200\231s 250-999
## 8882 Bachelorâ\200\231s > 10,000
## 8883 Masterâ\200\231s 250-999
## 8884 Bachelorâ\200\231s 0-49
## 8885 Professional 1000-9,999
## 8886 Masterâ\200\231s <NA>
## 8887 Masterâ\200\231s > 10,000
## 8888 Masterâ\200\231s 50-249
## 8889 Bachelorâ\200\231s > 10,000
## 8890 Bachelorâ\200\231s 1000-9,999
## 8891 Professional 250-999
## 8892 Masterâ\200\231s 0-49
## 8893 Bachelorâ\200\231s > 10,000
## 8894 Masterâ\200\231s > 10,000
## 8895 Masterâ\200\231s > 10,000
## 8896 Bachelorâ\200\231s <NA>
## 8897 Bachelorâ\200\231s <NA>
## 8898 Bachelorâ\200\231s 250-999
## 8899 Masterâ\200\231s 1000-9,999
## 8900 No formal education past high school <NA>
## 8901 Masterâ\200\231s 0-49
## 8902 Masterâ\200\231s <NA>
## 8903 Doctoral 0-49
## 8904 Bachelorâ\200\231s <NA>
## 8905 Masterâ\200\231s 50-249
## 8906 Masterâ\200\231s 50-249
## 8907 Bachelorâ\200\231s <NA>
## 8908 Masterâ\200\231s 50-249
## 8909 Masterâ\200\231s <NA>
## 8910 Masterâ\200\231s <NA>
## 8911 Bachelorâ\200\231s 1000-9,999
## 8912 Doctoral 1000-9,999
## 8913 Bachelorâ\200\231s <NA>
## 8914 Bachelorâ\200\231s 0-49
## 8915 Bachelorâ\200\231s 50-249
## 8916 Bachelorâ\200\231s <NA>
## 8917 Bachelorâ\200\231s <NA>
## 8918 Masterâ\200\231s 1000-9,999
## 8919 Masterâ\200\231s 0-49
## 8920 Masterâ\200\231s 0-49
## 8921 Masterâ\200\231s 0-49
## 8922 Masterâ\200\231s > 10,000
## 8923 Masterâ\200\231s 1000-9,999
## 8924 Doctoral 1000-9,999
## 8925 Masterâ\200\231s <NA>
## 8926 Bachelorâ\200\231s 1000-9,999
## 8927 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 8928 Bachelorâ\200\231s 250-999
## 8929 Bachelorâ\200\231s > 10,000
## 8930 Masterâ\200\231s 50-249
## 8931 Masterâ\200\231s 0-49
## 8932 Masterâ\200\231s > 10,000
## 8933 Masterâ\200\231s 1000-9,999
## 8934 Bachelorâ\200\231s 0-49
## 8935 Professional 250-999
## 8936 Bachelorâ\200\231s > 10,000
## 8937 Bachelorâ\200\231s <NA>
## 8938 Masterâ\200\231s 0-49
## 8939 Bachelorâ\200\231s 50-249
## 8940 Professional 1000-9,999
## 8941 Masterâ\200\231s > 10,000
## 8942 Masterâ\200\231s 0-49
## 8943 Bachelorâ\200\231s 50-249
## 8944 Bachelorâ\200\231s 50-249
## 8945 Masterâ\200\231s 250-999
## 8946 Masterâ\200\231s 1000-9,999
## 8947 Masterâ\200\231s 1000-9,999
## 8948 Bachelorâ\200\231s <NA>
## 8949 Doctoral 0-49
## 8950 Bachelorâ\200\231s <NA>
## 8951 Masterâ\200\231s <NA>
## 8952 Bachelorâ\200\231s > 10,000
## 8953 Doctoral > 10,000
## 8954 Masterâ\200\231s 50-249
## 8955 Masterâ\200\231s > 10,000
## 8956 Bachelorâ\200\231s 250-999
## 8957 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 8958 Bachelorâ\200\231s > 10,000
## 8959 Masterâ\200\231s 1000-9,999
## 8960 Bachelorâ\200\231s > 10,000
## 8961 Bachelorâ\200\231s 50-249
## 8962 Masterâ\200\231s 0-49
## 8963 Doctoral 0-49
## 8964 Bachelorâ\200\231s 0-49
## 8965 Bachelorâ\200\231s <NA>
## 8966 Bachelorâ\200\231s 1000-9,999
## 8967 Bachelorâ\200\231s > 10,000
## 8968 Bachelorâ\200\231s <NA>
## 8969 No formal education past high school 50-249
## 8970 Masterâ\200\231s 50-249
## 8971 Masterâ\200\231s 0-49
## 8972 Masterâ\200\231s <NA>
## 8973 Bachelorâ\200\231s 0-49
## 8974 Doctoral > 10,000
## 8975 Bachelorâ\200\231s <NA>
## 8976 Masterâ\200\231s 50-249
## 8977 Bachelorâ\200\231s 1000-9,999
## 8978 Doctoral > 10,000
## 8979 Masterâ\200\231s <NA>
## 8980 Masterâ\200\231s 1000-9,999
## 8981 Bachelorâ\200\231s 50-249
## 8982 Bachelorâ\200\231s 1000-9,999
## 8983 Masterâ\200\231s > 10,000
## 8984 Doctoral 0-49
## 8985 Bachelorâ\200\231s 1000-9,999
## 8986 Masterâ\200\231s 0-49
## 8987 Masterâ\200\231s 50-249
## 8988 Doctoral 1000-9,999
## 8989 Professional <NA>
## 8990 Masterâ\200\231s 0-49
## 8991 Bachelorâ\200\231s <NA>
## 8992 Masterâ\200\231s 0-49
## 8993 Bachelorâ\200\231s 0-49
## 8994 Masterâ\200\231s 250-999
## 8995 No formal education past high school <NA>
## 8996 Masterâ\200\231s <NA>
## 8997 Bachelorâ\200\231s > 10,000
## 8998 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 8999 Masterâ\200\231s 1000-9,999
## 9000 Doctoral 0-49
## 9001 Bachelorâ\200\231s <NA>
## 9002 Masterâ\200\231s 50-249
## 9003 Masterâ\200\231s > 10,000
## 9004 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 9005 Masterâ\200\231s <NA>
## 9006 Bachelorâ\200\231s <NA>
## 9007 Masterâ\200\231s 50-249
## 9008 Bachelorâ\200\231s 250-999
## 9009 Masterâ\200\231s <NA>
## 9010 Masterâ\200\231s 1000-9,999
## 9011 Masterâ\200\231s <NA>
## 9012 Doctoral 1000-9,999
## 9013 Masterâ\200\231s <NA>
## 9014 No formal education past high school 0-49
## 9015 Masterâ\200\231s 0-49
## 9016 Masterâ\200\231s <NA>
## 9017 Bachelorâ\200\231s 50-249
## 9018 Masterâ\200\231s 0-49
## 9019 Bachelorâ\200\231s <NA>
## 9020 Doctoral 0-49
## 9021 Doctoral <NA>
## 9022 Masterâ\200\231s > 10,000
## 9023 Bachelorâ\200\231s 1000-9,999
## 9024 Masterâ\200\231s <NA>
## 9025 Masterâ\200\231s > 10,000
## 9026 Masterâ\200\231s 0-49
## 9027 Professional 0-49
## 9028 Masterâ\200\231s 1000-9,999
## 9029 Bachelorâ\200\231s > 10,000
## 9030 Bachelorâ\200\231s <NA>
## 9031 Masterâ\200\231s 250-999
## 9032 Doctoral <NA>
## 9033 Bachelorâ\200\231s > 10,000
## 9034 Masterâ\200\231s 1000-9,999
## 9035 Masterâ\200\231s <NA>
## 9036 Masterâ\200\231s 0-49
## 9037 Masterâ\200\231s 1000-9,999
## 9038 Bachelorâ\200\231s > 10,000
## 9039 Masterâ\200\231s 1000-9,999
## 9040 Masterâ\200\231s <NA>
## 9041 Bachelorâ\200\231s > 10,000
## 9042 Masterâ\200\231s <NA>
## 9043 Masterâ\200\231s 1000-9,999
## 9044 Masterâ\200\231s > 10,000
## 9045 Masterâ\200\231s 50-249
## 9046 Masterâ\200\231s <NA>
## 9047 Masterâ\200\231s > 10,000
## 9048 Masterâ\200\231s <NA>
## 9049 Masterâ\200\231s 250-999
## 9050 Masterâ\200\231s <NA>
## 9051 Masterâ\200\231s 50-249
## 9052 Masterâ\200\231s > 10,000
## 9053 Bachelorâ\200\231s <NA>
## 9054 Masterâ\200\231s <NA>
## 9055 Doctoral 50-249
## 9056 Doctoral 0-49
## 9057 Bachelorâ\200\231s <NA>
## 9058 No formal education past high school 0-49
## 9059 Masterâ\200\231s 1000-9,999
## 9060 Masterâ\200\231s <NA>
## 9061 Masterâ\200\231s 1000-9,999
## 9062 Masterâ\200\231s 50-249
## 9063 Masterâ\200\231s 0-49
## 9064 Masterâ\200\231s 0-49
## 9065 Bachelorâ\200\231s 0-49
## 9066 Doctoral <NA>
## 9067 Doctoral 50-249
## 9068 Masterâ\200\231s 50-249
## 9069 Doctoral <NA>
## 9070 Bachelorâ\200\231s 0-49
## 9071 Masterâ\200\231s <NA>
## 9072 Doctoral 50-249
## 9073 Bachelorâ\200\231s > 10,000
## 9074 Masterâ\200\231s 250-999
## 9075 Bachelorâ\200\231s 50-249
## 9076 Bachelorâ\200\231s 1000-9,999
## 9077 Bachelorâ\200\231s > 10,000
## 9078 Doctoral 250-999
## 9079 Masterâ\200\231s <NA>
## 9080 Masterâ\200\231s 0-49
## 9081 Bachelorâ\200\231s 1000-9,999
## 9082 Masterâ\200\231s <NA>
## 9083 Masterâ\200\231s <NA>
## 9084 Masterâ\200\231s 50-249
## 9085 Professional 50-249
## 9086 Masterâ\200\231s 0-49
## 9087 Masterâ\200\231s 1000-9,999
## 9088 Bachelorâ\200\231s <NA>
## 9089 Masterâ\200\231s <NA>
## 9090 Masterâ\200\231s 50-249
## 9091 Bachelorâ\200\231s <NA>
## 9092 Masterâ\200\231s <NA>
## 9093 Bachelorâ\200\231s <NA>
## 9094 Masterâ\200\231s 0-49
## 9095 Masterâ\200\231s 0-49
## 9096 Bachelorâ\200\231s <NA>
## 9097 Masterâ\200\231s 1000-9,999
## 9098 Bachelorâ\200\231s <NA>
## 9099 Bachelorâ\200\231s 0-49
## 9100 Bachelorâ\200\231s <NA>
## 9101 Bachelorâ\200\231s <NA>
## 9102 Professional 1000-9,999
## 9103 Bachelorâ\200\231s > 10,000
## 9104 Bachelorâ\200\231s <NA>
## 9105 Doctoral <NA>
## 9106 Masterâ\200\231s > 10,000
## 9107 Masterâ\200\231s 0-49
## 9108 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 9109 Masterâ\200\231s <NA>
## 9110 Masterâ\200\231s 0-49
## 9111 Bachelorâ\200\231s > 10,000
## 9112 Masterâ\200\231s > 10,000
## 9113 Bachelorâ\200\231s 1000-9,999
## 9114 Bachelorâ\200\231s > 10,000
## 9115 Masterâ\200\231s 0-49
## 9116 Masterâ\200\231s <NA>
## 9117 Doctoral 250-999
## 9118 Bachelorâ\200\231s <NA>
## 9119 Masterâ\200\231s 1000-9,999
## 9120 Masterâ\200\231s > 10,000
## 9121 Bachelorâ\200\231s 1000-9,999
## 9122 Masterâ\200\231s 1000-9,999
## 9123 Masterâ\200\231s <NA>
## 9124 Masterâ\200\231s 50-249
## 9125 Masterâ\200\231s > 10,000
## 9126 Masterâ\200\231s <NA>
## 9127 Doctoral 50-249
## 9128 Masterâ\200\231s 1000-9,999
## 9129 Bachelorâ\200\231s <NA>
## 9130 Bachelorâ\200\231s <NA>
## 9131 Bachelorâ\200\231s <NA>
## 9132 Masterâ\200\231s 0-49
## 9133 Doctoral > 10,000
## 9134 Bachelorâ\200\231s 0-49
## 9135 Bachelorâ\200\231s 1000-9,999
## 9136 Masterâ\200\231s > 10,000
## 9137 Bachelorâ\200\231s <NA>
## 9138 Masterâ\200\231s 0-49
## 9139 Doctoral 1000-9,999
## 9140 Bachelorâ\200\231s <NA>
## 9141 Bachelorâ\200\231s 0-49
## 9142 I prefer not to answer 50-249
## 9143 Doctoral 250-999
## 9144 Bachelorâ\200\231s 0-49
## 9145 Doctoral 250-999
## 9146 Bachelorâ\200\231s <NA>
## 9147 Masterâ\200\231s <NA>
## 9148 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 9149 Doctoral <NA>
## 9150 Masterâ\200\231s 1000-9,999
## 9151 Masterâ\200\231s <NA>
## 9152 Masterâ\200\231s 50-249
## 9153 Masterâ\200\231s 0-49
## 9154 Masterâ\200\231s 50-249
## 9155 Masterâ\200\231s 0-49
## 9156 Masterâ\200\231s <NA>
## 9157 Bachelorâ\200\231s 0-49
## 9158 Bachelorâ\200\231s > 10,000
## 9159 Masterâ\200\231s 250-999
## 9160 Bachelorâ\200\231s <NA>
## 9161 Masterâ\200\231s 0-49
## 9162 Masterâ\200\231s 0-49
## 9163 Bachelorâ\200\231s <NA>
## 9164 Masterâ\200\231s > 10,000
## 9165 Bachelorâ\200\231s <NA>
## 9166 Bachelorâ\200\231s 250-999
## 9167 Masterâ\200\231s 1000-9,999
## 9168 Masterâ\200\231s 0-49
## 9169 Masterâ\200\231s <NA>
## 9170 Bachelorâ\200\231s <NA>
## 9171 Bachelorâ\200\231s 0-49
## 9172 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 9173 Bachelorâ\200\231s <NA>
## 9174 Professional 50-249
## 9175 Masterâ\200\231s 50-249
## 9176 Masterâ\200\231s <NA>
## 9177 Doctoral 1000-9,999
## 9178 Bachelorâ\200\231s 50-249
## 9179 Bachelorâ\200\231s > 10,000
## 9180 Bachelorâ\200\231s 0-49
## 9181 Bachelorâ\200\231s 250-999
## 9182 Bachelorâ\200\231s 250-999
## 9183 Bachelorâ\200\231s <NA>
## 9184 Doctoral > 10,000
## 9185 Masterâ\200\231s > 10,000
## 9186 Masterâ\200\231s <NA>
## 9187 Bachelorâ\200\231s 0-49
## 9188 Bachelorâ\200\231s 0-49
## 9189 Professional 1000-9,999
## 9190 No formal education past high school 0-49
## 9191 Bachelorâ\200\231s > 10,000
## 9192 Bachelorâ\200\231s <NA>
## 9193 Bachelorâ\200\231s <NA>
## 9194 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 9195 Doctoral 0-49
## 9196 Bachelorâ\200\231s <NA>
## 9197 Masterâ\200\231s <NA>
## 9198 Masterâ\200\231s <NA>
## 9199 Doctoral 250-999
## 9200 Masterâ\200\231s 1000-9,999
## 9201 Bachelorâ\200\231s <NA>
## 9202 Masterâ\200\231s 50-249
## 9203 Doctoral 50-249
## 9204 Bachelorâ\200\231s <NA>
## 9205 Bachelorâ\200\231s <NA>
## 9206 Bachelorâ\200\231s <NA>
## 9207 Masterâ\200\231s 1000-9,999
## 9208 Bachelorâ\200\231s > 10,000
## 9209 Bachelorâ\200\231s 1000-9,999
## 9210 Doctoral > 10,000
## 9211 Doctoral > 10,000
## 9212 Masterâ\200\231s 50-249
## 9213 Bachelorâ\200\231s 50-249
## 9214 Bachelorâ\200\231s 250-999
## 9215 Bachelorâ\200\231s <NA>
## 9216 Doctoral 0-49
## 9217 Bachelorâ\200\231s 0-49
## 9218 Masterâ\200\231s <NA>
## 9219 Bachelorâ\200\231s <NA>
## 9220 Bachelorâ\200\231s > 10,000
## 9221 Bachelorâ\200\231s 0-49
## 9222 Bachelorâ\200\231s 1000-9,999
## 9223 Masterâ\200\231s <NA>
## 9224 Masterâ\200\231s <NA>
## 9225 Bachelorâ\200\231s <NA>
## 9226 Bachelorâ\200\231s <NA>
## 9227 Doctoral 0-49
## 9228 Bachelorâ\200\231s <NA>
## 9229 Doctoral 0-49
## 9230 Masterâ\200\231s 250-999
## 9231 Masterâ\200\231s 50-249
## 9232 Doctoral > 10,000
## 9233 Bachelorâ\200\231s 250-999
## 9234 Masterâ\200\231s <NA>
## 9235 Doctoral 0-49
## 9236 Bachelorâ\200\231s <NA>
## 9237 Bachelorâ\200\231s > 10,000
## 9238 Bachelorâ\200\231s 0-49
## 9239 I prefer not to answer 0-49
## 9240 Bachelorâ\200\231s <NA>
## 9241 No formal education past high school 0-49
## 9242 Masterâ\200\231s > 10,000
## 9243 Doctoral <NA>
## 9244 Bachelorâ\200\231s <NA>
## 9245 Bachelorâ\200\231s <NA>
## 9246 Professional <NA>
## 9247 Bachelorâ\200\231s 50-249
## 9248 Masterâ\200\231s 0-49
## 9249 Bachelorâ\200\231s 50-249
## 9250 Masterâ\200\231s <NA>
## 9251 Masterâ\200\231s > 10,000
## 9252 Masterâ\200\231s 1000-9,999
## 9253 Masterâ\200\231s > 10,000
## 9254 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 9255 Doctoral 250-999
## 9256 Masterâ\200\231s 50-249
## 9257 Masterâ\200\231s > 10,000
## 9258 Bachelorâ\200\231s 0-49
## 9259 Masterâ\200\231s <NA>
## 9260 Bachelorâ\200\231s 1000-9,999
## 9261 Bachelorâ\200\231s 0-49
## 9262 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 9263 Doctoral 50-249
## 9264 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 9265 Masterâ\200\231s > 10,000
## 9266 Masterâ\200\231s 1000-9,999
## 9267 Professional 50-249
## 9268 Professional 0-49
## 9269 Bachelorâ\200\231s <NA>
## 9270 Masterâ\200\231s 0-49
## 9271 Masterâ\200\231s <NA>
## 9272 Bachelorâ\200\231s <NA>
## 9273 Masterâ\200\231s > 10,000
## 9274 Doctoral 0-49
## 9275 Masterâ\200\231s 0-49
## 9276 Doctoral 0-49
## 9277 Bachelorâ\200\231s 0-49
## 9278 Bachelorâ\200\231s <NA>
## 9279 Professional 1000-9,999
## 9280 Masterâ\200\231s <NA>
## 9281 Bachelorâ\200\231s > 10,000
## 9282 Doctoral 0-49
## 9283 Bachelorâ\200\231s 1000-9,999
## 9284 Professional 1000-9,999
## 9285 Masterâ\200\231s <NA>
## 9286 Bachelorâ\200\231s 1000-9,999
## 9287 Doctoral 0-49
## 9288 Bachelorâ\200\231s <NA>
## 9289 Doctoral <NA>
## 9290 Masterâ\200\231s <NA>
## 9291 Bachelorâ\200\231s 0-49
## 9292 Bachelorâ\200\231s 0-49
## 9293 Masterâ\200\231s <NA>
## 9294 Bachelorâ\200\231s <NA>
## 9295 Masterâ\200\231s 0-49
## 9296 Professional 1000-9,999
## 9297 Masterâ\200\231s <NA>
## 9298 Bachelorâ\200\231s 50-249
## 9299 I prefer not to answer 50-249
## 9300 Bachelorâ\200\231s 0-49
## 9301 Bachelorâ\200\231s > 10,000
## 9302 Doctoral 1000-9,999
## 9303 Masterâ\200\231s > 10,000
## 9304 Masterâ\200\231s 50-249
## 9305 Masterâ\200\231s > 10,000
## 9306 Masterâ\200\231s <NA>
## 9307 Masterâ\200\231s <NA>
## 9308 Bachelorâ\200\231s <NA>
## 9309 Bachelorâ\200\231s 50-249
## 9310 Bachelorâ\200\231s > 10,000
## 9311 Bachelorâ\200\231s 50-249
## 9312 Bachelorâ\200\231s 0-49
## 9313 Masterâ\200\231s > 10,000
## 9314 Masterâ\200\231s <NA>
## 9315 Masterâ\200\231s 0-49
## 9316 Masterâ\200\231s 0-49
## 9317 Professional 50-249
## 9318 Doctoral <NA>
## 9319 Bachelorâ\200\231s 1000-9,999
## 9320 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 9321 Masterâ\200\231s 1000-9,999
## 9322 Masterâ\200\231s > 10,000
## 9323 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 9324 Bachelorâ\200\231s 0-49
## 9325 Masterâ\200\231s 1000-9,999
## 9326 Bachelorâ\200\231s <NA>
## 9327 Doctoral 1000-9,999
## 9328 Masterâ\200\231s <NA>
## 9329 Masterâ\200\231s 0-49
## 9330 Bachelorâ\200\231s 0-49
## 9331 Masterâ\200\231s > 10,000
## 9332 Doctoral 50-249
## 9333 Doctoral > 10,000
## 9334 Professional 50-249
## 9335 Masterâ\200\231s 0-49
## 9336 Masterâ\200\231s <NA>
## 9337 Masterâ\200\231s 50-249
## 9338 Masterâ\200\231s 0-49
## 9339 Doctoral 1000-9,999
## 9340 Doctoral 1000-9,999
## 9341 Bachelorâ\200\231s <NA>
## 9342 Bachelorâ\200\231s <NA>
## 9343 Bachelorâ\200\231s <NA>
## 9344 Masterâ\200\231s 0-49
## 9345 Bachelorâ\200\231s <NA>
## 9346 Masterâ\200\231s 50-249
## 9347 Masterâ\200\231s 50-249
## 9348 Masterâ\200\231s <NA>
## 9349 Professional 1000-9,999
## 9350 I prefer not to answer 1000-9,999
## 9351 Masterâ\200\231s <NA>
## 9352 Bachelorâ\200\231s <NA>
## 9353 Bachelorâ\200\231s <NA>
## 9354 Doctoral 50-249
## 9355 Masterâ\200\231s 1000-9,999
## 9356 Bachelorâ\200\231s 50-249
## 9357 Bachelorâ\200\231s > 10,000
## 9358 Masterâ\200\231s > 10,000
## 9359 Bachelorâ\200\231s > 10,000
## 9360 Masterâ\200\231s 250-999
## 9361 Masterâ\200\231s 0-49
## 9362 Bachelorâ\200\231s <NA>
## 9363 Bachelorâ\200\231s 1000-9,999
## 9364 Doctoral > 10,000
## 9365 Bachelorâ\200\231s 0-49
## 9366 Professional 1000-9,999
## 9367 Bachelorâ\200\231s <NA>
## 9368 Bachelorâ\200\231s 1000-9,999
## 9369 Bachelorâ\200\231s > 10,000
## 9370 Bachelorâ\200\231s 0-49
## 9371 Bachelorâ\200\231s 0-49
## 9372 Masterâ\200\231s > 10,000
## 9373 No formal education past high school 0-49
## 9374 Masterâ\200\231s 0-49
## 9375 Bachelorâ\200\231s 0-49
## 9376 Masterâ\200\231s 50-249
## 9377 Doctoral 0-49
## 9378 Masterâ\200\231s 0-49
## 9379 Bachelorâ\200\231s 50-249
## 9380 Bachelorâ\200\231s <NA>
## 9381 Bachelorâ\200\231s 50-249
## 9382 Doctoral <NA>
## 9383 Masterâ\200\231s 0-49
## 9384 Bachelorâ\200\231s 1000-9,999
## 9385 Professional 0-49
## 9386 Masterâ\200\231s 0-49
## 9387 Bachelorâ\200\231s <NA>
## 9388 Masterâ\200\231s 250-999
## 9389 Masterâ\200\231s <NA>
## 9390 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 9391 Bachelorâ\200\231s 250-999
## 9392 Doctoral 1000-9,999
## 9393 Bachelorâ\200\231s <NA>
## 9394 Masterâ\200\231s 50-249
## 9395 Doctoral 50-249
## 9396 Masterâ\200\231s 0-49
## 9397 Masterâ\200\231s > 10,000
## 9398 Masterâ\200\231s 50-249
## 9399 Masterâ\200\231s 250-999
## 9400 Bachelorâ\200\231s 0-49
## 9401 Bachelorâ\200\231s 1000-9,999
## 9402 Masterâ\200\231s <NA>
## 9403 Bachelorâ\200\231s 0-49
## 9404 Doctoral 50-249
## 9405 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 9406 Masterâ\200\231s 1000-9,999
## 9407 Bachelorâ\200\231s 1000-9,999
## 9408 Masterâ\200\231s 1000-9,999
## 9409 No formal education past high school 50-249
## 9410 Masterâ\200\231s 50-249
## 9411 Bachelorâ\200\231s 50-249
## 9412 Masterâ\200\231s 50-249
## 9413 Masterâ\200\231s > 10,000
## 9414 Masterâ\200\231s 1000-9,999
## 9415 Masterâ\200\231s 0-49
## 9416 Masterâ\200\231s > 10,000
## 9417 Masterâ\200\231s 0-49
## 9418 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 9419 Masterâ\200\231s 0-49
## 9420 Bachelorâ\200\231s <NA>
## 9421 Masterâ\200\231s 1000-9,999
## 9422 Bachelorâ\200\231s <NA>
## 9423 Masterâ\200\231s 250-999
## 9424 Bachelorâ\200\231s 1000-9,999
## 9425 Masterâ\200\231s 0-49
## 9426 Some collegeuniversity study without earning a bachelorâ\200\231s 250-999
## 9427 Bachelorâ\200\231s 0-49
## 9428 Bachelorâ\200\231s 250-999
## 9429 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 9430 Bachelorâ\200\231s <NA>
## 9431 Bachelorâ\200\231s 0-49
## 9432 Masterâ\200\231s 0-49
## 9433 Masterâ\200\231s 1000-9,999
## 9434 Masterâ\200\231s 50-249
## 9435 Masterâ\200\231s 0-49
## 9436 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 9437 Masterâ\200\231s 1000-9,999
## 9438 Doctoral <NA>
## 9439 Bachelorâ\200\231s 0-49
## 9440 Doctoral 250-999
## 9441 Masterâ\200\231s <NA>
## 9442 Bachelorâ\200\231s <NA>
## 9443 Bachelorâ\200\231s 0-49
## 9444 Masterâ\200\231s 0-49
## 9445 Professional <NA>
## 9446 Masterâ\200\231s 1000-9,999
## 9447 Doctoral 250-999
## 9448 Doctoral 1000-9,999
## 9449 Bachelorâ\200\231s 50-249
## 9450 Bachelorâ\200\231s > 10,000
## 9451 Masterâ\200\231s > 10,000
## 9452 Bachelorâ\200\231s 50-249
## 9453 Bachelorâ\200\231s 50-249
## 9454 Bachelorâ\200\231s <NA>
## 9455 Masterâ\200\231s <NA>
## 9456 Masterâ\200\231s 50-249
## 9457 Doctoral 250-999
## 9458 Doctoral 1000-9,999
## 9459 Bachelorâ\200\231s 0-49
## 9460 Bachelorâ\200\231s 250-999
## 9461 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 9462 Masterâ\200\231s > 10,000
## 9463 Bachelorâ\200\231s 0-49
## 9464 Masterâ\200\231s 50-249
## 9465 Masterâ\200\231s > 10,000
## 9466 Professional > 10,000
## 9467 Bachelorâ\200\231s <NA>
## 9468 Masterâ\200\231s > 10,000
## 9469 Masterâ\200\231s > 10,000
## 9470 Masterâ\200\231s 0-49
## 9471 Masterâ\200\231s 0-49
## 9472 Bachelorâ\200\231s <NA>
## 9473 Masterâ\200\231s 0-49
## 9474 Masterâ\200\231s 1000-9,999
## 9475 Bachelorâ\200\231s 1000-9,999
## 9476 Doctoral 250-999
## 9477 Bachelorâ\200\231s <NA>
## 9478 Masterâ\200\231s > 10,000
## 9479 Bachelorâ\200\231s <NA>
## 9480 Doctoral 0-49
## 9481 Doctoral <NA>
## 9482 Bachelorâ\200\231s 250-999
## 9483 Masterâ\200\231s 1000-9,999
## 9484 Doctoral 50-249
## 9485 Masterâ\200\231s 1000-9,999
## 9486 Masterâ\200\231s 0-49
## 9487 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 9488 Masterâ\200\231s 50-249
## 9489 Doctoral 0-49
## 9490 Doctoral 1000-9,999
## 9491 Bachelorâ\200\231s <NA>
## 9492 Bachelorâ\200\231s <NA>
## 9493 Masterâ\200\231s > 10,000
## 9494 I prefer not to answer 50-249
## 9495 Masterâ\200\231s <NA>
## 9496 Masterâ\200\231s 250-999
## 9497 Bachelorâ\200\231s 50-249
## 9498 Doctoral 1000-9,999
## 9499 Doctoral 250-999
## 9500 Bachelorâ\200\231s > 10,000
## 9501 Bachelorâ\200\231s 1000-9,999
## 9502 I prefer not to answer 0-49
## 9503 Masterâ\200\231s 1000-9,999
## 9504 Bachelorâ\200\231s 0-49
## 9505 Bachelorâ\200\231s 1000-9,999
## 9506 Masterâ\200\231s <NA>
## 9507 Masterâ\200\231s > 10,000
## 9508 Bachelorâ\200\231s 250-999
## 9509 Masterâ\200\231s 50-249
## 9510 Masterâ\200\231s 0-49
## 9511 Masterâ\200\231s 0-49
## 9512 Professional 0-49
## 9513 Bachelorâ\200\231s 1000-9,999
## 9514 Masterâ\200\231s 50-249
## 9515 Doctoral 0-49
## 9516 Bachelorâ\200\231s 50-249
## 9517 I prefer not to answer 50-249
## 9518 Masterâ\200\231s 250-999
## 9519 Bachelorâ\200\231s 0-49
## 9520 Masterâ\200\231s 0-49
## 9521 Bachelorâ\200\231s 0-49
## 9522 Masterâ\200\231s 1000-9,999
## 9523 Masterâ\200\231s 50-249
## 9524 Masterâ\200\231s 1000-9,999
## 9525 Bachelorâ\200\231s 0-49
## 9526 Bachelorâ\200\231s <NA>
## 9527 Professional 50-249
## 9528 Bachelorâ\200\231s 0-49
## 9529 Masterâ\200\231s > 10,000
## 9530 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 9531 Bachelorâ\200\231s 50-249
## 9532 Bachelorâ\200\231s 1000-9,999
## 9533 Bachelorâ\200\231s > 10,000
## 9534 Masterâ\200\231s 250-999
## 9535 Masterâ\200\231s 0-49
## 9536 Bachelorâ\200\231s <NA>
## 9537 Doctoral 0-49
## 9538 Masterâ\200\231s > 10,000
## 9539 Bachelorâ\200\231s 250-999
## 9540 Masterâ\200\231s 250-999
## 9541 Masterâ\200\231s <NA>
## 9542 Masterâ\200\231s 50-249
## 9543 Professional 50-249
## 9544 Bachelorâ\200\231s <NA>
## 9545 Bachelorâ\200\231s 250-999
## 9546 Masterâ\200\231s 1000-9,999
## 9547 Bachelorâ\200\231s <NA>
## 9548 Bachelorâ\200\231s <NA>
## 9549 Masterâ\200\231s > 10,000
## 9550 Bachelorâ\200\231s 50-249
## 9551 Bachelorâ\200\231s <NA>
## 9552 Masterâ\200\231s 0-49
## 9553 Masterâ\200\231s 50-249
## 9554 Professional 250-999
## 9555 Masterâ\200\231s > 10,000
## 9556 Masterâ\200\231s 0-49
## 9557 Masterâ\200\231s 50-249
## 9558 Masterâ\200\231s <NA>
## 9559 I prefer not to answer <NA>
## 9560 Masterâ\200\231s 0-49
## 9561 Bachelorâ\200\231s 50-249
## 9562 Bachelorâ\200\231s <NA>
## 9563 Bachelorâ\200\231s 50-249
## 9564 Bachelorâ\200\231s 50-249
## 9565 Masterâ\200\231s 1000-9,999
## 9566 Masterâ\200\231s > 10,000
## 9567 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 9568 Doctoral 0-49
## 9569 Bachelorâ\200\231s 0-49
## 9570 Doctoral 0-49
## 9571 Masterâ\200\231s 1000-9,999
## 9572 Doctoral 0-49
## 9573 Bachelorâ\200\231s 0-49
## 9574 Bachelorâ\200\231s > 10,000
## 9575 Masterâ\200\231s 1000-9,999
## 9576 Bachelorâ\200\231s <NA>
## 9577 Bachelorâ\200\231s 0-49
## 9578 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 9579 Doctoral 0-49
## 9580 Doctoral 50-249
## 9581 Some collegeuniversity study without earning a bachelorâ\200\231s 1000-9,999
## 9582 Masterâ\200\231s 250-999
## 9583 Bachelorâ\200\231s 0-49
## 9584 Doctoral 0-49
## 9585 Doctoral 50-249
## 9586 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 9587 Masterâ\200\231s 0-49
## 9588 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 9589 Masterâ\200\231s 1000-9,999
## 9590 Masterâ\200\231s > 10,000
## 9591 Doctoral 50-249
## 9592 Professional <NA>
## 9593 Masterâ\200\231s 0-49
## 9594 No formal education past high school 0-49
## 9595 I prefer not to answer 1000-9,999
## 9596 Masterâ\200\231s 0-49
## 9597 Masterâ\200\231s 1000-9,999
## 9598 Masterâ\200\231s > 10,000
## 9599 Masterâ\200\231s 250-999
## 9600 Bachelorâ\200\231s <NA>
## 9601 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 9602 Doctoral 250-999
## 9603 Bachelorâ\200\231s 0-49
## 9604 Bachelorâ\200\231s <NA>
## 9605 Doctoral 250-999
## 9606 Masterâ\200\231s 0-49
## 9607 Masterâ\200\231s <NA>
## 9608 Doctoral <NA>
## 9609 Masterâ\200\231s 1000-9,999
## 9610 Masterâ\200\231s <NA>
## 9611 Doctoral 1000-9,999
## 9612 Bachelorâ\200\231s > 10,000
## 9613 Masterâ\200\231s 50-249
## 9614 Masterâ\200\231s <NA>
## 9615 Masterâ\200\231s 1000-9,999
## 9616 Bachelorâ\200\231s <NA>
## 9617 Masterâ\200\231s 0-49
## 9618 Bachelorâ\200\231s > 10,000
## 9619 Masterâ\200\231s 50-249
## 9620 Bachelorâ\200\231s 1000-9,999
## 9621 Bachelorâ\200\231s <NA>
## 9622 Doctoral 1000-9,999
## 9623 Bachelorâ\200\231s 50-249
## 9624 Bachelorâ\200\231s 0-49
## 9625 Bachelorâ\200\231s 0-49
## 9626 Bachelorâ\200\231s 50-249
## 9627 Masterâ\200\231s <NA>
## 9628 Doctoral 1000-9,999
## 9629 Doctoral 1000-9,999
## 9630 Masterâ\200\231s 50-249
## 9631 Bachelorâ\200\231s 0-49
## 9632 Masterâ\200\231s 1000-9,999
## 9633 Doctoral 1000-9,999
## 9634 Bachelorâ\200\231s 1000-9,999
## 9635 Masterâ\200\231s 0-49
## 9636 Bachelorâ\200\231s 1000-9,999
## 9637 Bachelorâ\200\231s <NA>
## 9638 Doctoral 1000-9,999
## 9639 Bachelorâ\200\231s <NA>
## 9640 Bachelorâ\200\231s <NA>
## 9641 Masterâ\200\231s > 10,000
## 9642 Masterâ\200\231s 250-999
## 9643 Professional 50-249
## 9644 Professional 250-999
## 9645 Bachelorâ\200\231s <NA>
## 9646 Doctoral > 10,000
## 9647 Bachelorâ\200\231s > 10,000
## 9648 Bachelorâ\200\231s 50-249
## 9649 Masterâ\200\231s <NA>
## 9650 Masterâ\200\231s 50-249
## 9651 Masterâ\200\231s 1000-9,999
## 9652 Doctoral > 10,000
## 9653 Masterâ\200\231s 50-249
## 9654 I prefer not to answer 50-249
## 9655 Doctoral 0-49
## 9656 Bachelorâ\200\231s > 10,000
## 9657 Bachelorâ\200\231s <NA>
## 9658 Masterâ\200\231s 250-999
## 9659 Professional 0-49
## 9660 Masterâ\200\231s 0-49
## 9661 Doctoral 0-49
## 9662 Bachelorâ\200\231s <NA>
## 9663 Bachelorâ\200\231s <NA>
## 9664 Professional 0-49
## 9665 Bachelorâ\200\231s 50-249
## 9666 Masterâ\200\231s 1000-9,999
## 9667 Masterâ\200\231s 1000-9,999
## 9668 Masterâ\200\231s 50-249
## 9669 Masterâ\200\231s > 10,000
## 9670 Masterâ\200\231s 1000-9,999
## 9671 Masterâ\200\231s 0-49
## 9672 Bachelorâ\200\231s > 10,000
## 9673 Masterâ\200\231s 0-49
## 9674 Professional > 10,000
## 9675 Bachelorâ\200\231s 0-49
## 9676 Masterâ\200\231s 0-49
## 9677 Doctoral 50-249
## 9678 Professional 250-999
## 9679 Masterâ\200\231s 50-249
## 9680 Doctoral > 10,000
## 9681 Bachelorâ\200\231s 50-249
## 9682 Doctoral 1000-9,999
## 9683 Doctoral <NA>
## 9684 Masterâ\200\231s 0-49
## 9685 Bachelorâ\200\231s 250-999
## 9686 Some collegeuniversity study without earning a bachelorâ\200\231s 50-249
## 9687 Masterâ\200\231s 0-49
## 9688 Masterâ\200\231s <NA>
## 9689 Masterâ\200\231s 250-999
## 9690 Masterâ\200\231s 0-49
## 9691 Professional 0-49
## 9692 Doctoral > 10,000
## 9693 Doctoral 250-999
## 9694 Masterâ\200\231s 50-249
## 9695 I prefer not to answer > 10,000
## 9696 Masterâ\200\231s 0-49
## 9697 Masterâ\200\231s 0-49
## 9698 Masterâ\200\231s 1000-9,999
## 9699 Bachelorâ\200\231s > 10,000
## 9700 Masterâ\200\231s <NA>
## 9701 Masterâ\200\231s > 10,000
## 9702 Bachelorâ\200\231s <NA>
## 9703 Doctoral > 10,000
## 9704 Masterâ\200\231s 0-49
## 9705 Bachelorâ\200\231s 1000-9,999
## 9706 Bachelorâ\200\231s 1000-9,999
## 9707 Bachelorâ\200\231s 250-999
## 9708 Masterâ\200\231s 0-49
## 9709 Bachelorâ\200\231s 1000-9,999
## 9710 Masterâ\200\231s <NA>
## 9711 Masterâ\200\231s <NA>
## 9712 Doctoral 50-249
## 9713 Doctoral > 10,000
## 9714 Bachelorâ\200\231s <NA>
## 9715 Masterâ\200\231s 0-49
## 9716 Masterâ\200\231s <NA>
## 9717 Masterâ\200\231s <NA>
## 9718 Bachelorâ\200\231s > 10,000
## 9719 Masterâ\200\231s 250-999
## 9720 Masterâ\200\231s 0-49
## 9721 Professional <NA>
## 9722 Doctoral 1000-9,999
## 9723 Professional > 10,000
## 9724 Some collegeuniversity study without earning a bachelorâ\200\231s <NA>
## 9725 Doctoral 0-49
## 9726 Bachelorâ\200\231s 50-249
## 9727 Bachelorâ\200\231s <NA>
## 9728 Bachelorâ\200\231s > 10,000
## 9729 Masterâ\200\231s 250-999
## 9730 Masterâ\200\231s > 10,000
## 9731 Bachelorâ\200\231s 0-49
## 9732 Bachelorâ\200\231s 250-999
## 9733 Bachelorâ\200\231s 250-999
## 9734 Bachelorâ\200\231s 0-49
## 9735 Masterâ\200\231s 1000-9,999
## 9736 Doctoral > 10,000
## 9737 Bachelorâ\200\231s 1000-9,999
## 9738 Bachelorâ\200\231s <NA>
## 9739 Masterâ\200\231s > 10,000
## 9740 Bachelorâ\200\231s > 10,000
## 9741 Masterâ\200\231s 0-49
## 9742 Bachelorâ\200\231s 1000-9,999
## 9743 Masterâ\200\231s > 10,000
## 9744 Bachelorâ\200\231s <NA>
## 9745 Doctoral <NA>
## 9746 Doctoral 50-249
## 9747 Bachelorâ\200\231s 0-49
## 9748 Bachelorâ\200\231s <NA>
## 9749 Masterâ\200\231s 250-999
## 9750 Professional 50-249
## 9751 Masterâ\200\231s 0-49
## 9752 Bachelorâ\200\231s 50-249
## 9753 Doctoral 1000-9,999
## 9754 Bachelorâ\200\231s <NA>
## 9755 Bachelorâ\200\231s > 10,000
## 9756 Doctoral 0-49
## 9757 Doctoral 250-999
## 9758 Bachelorâ\200\231s 1000-9,999
## 9759 Bachelorâ\200\231s <NA>
## 9760 Bachelorâ\200\231s <NA>
## 9761 Bachelorâ\200\231s 250-999
## 9762 Masterâ\200\231s 50-249
## 9763 Masterâ\200\231s <NA>
## 9764 Masterâ\200\231s 0-49
## 9765 Masterâ\200\231s > 10,000
## 9766 Masterâ\200\231s > 10,000
## 9767 Masterâ\200\231s 0-49
## 9768 Bachelorâ\200\231s <NA>
## 9769 Bachelorâ\200\231s 0-49
## 9770 Bachelorâ\200\231s > 10,000
## 9771 Bachelorâ\200\231s 0-49
## 9772 Doctoral 0-49
## 9773 Masterâ\200\231s 50-249
## 9774 Masterâ\200\231s 50-249
## 9775 Masterâ\200\231s 1000-9,999
## 9776 Masterâ\200\231s <NA>
## 9777 Bachelorâ\200\231s > 10,000
## 9778 Some collegeuniversity study without earning a bachelorâ\200\231s > 10,000
## 9779 Doctoral > 10,000
## 9780 Doctoral 50-249
## 9781 Bachelorâ\200\231s 0-49
## 9782 Bachelorâ\200\231s <NA>
## 9783 Masterâ\200\231s 50-249
## 9784 Masterâ\200\231s 250-999
## 9785 Bachelorâ\200\231s 250-999
## 9786 Masterâ\200\231s 50-249
## 9787 Bachelorâ\200\231s 0-49
## 9788 Masterâ\200\231s 0-49
## 9789 Masterâ\200\231s > 10,000
## 9790 Masterâ\200\231s 50-249
## 9791 Bachelorâ\200\231s 50-249
## 9792 Bachelorâ\200\231s > 10,000
## 9793 Masterâ\200\231s 0-49
## 9794 Doctoral 50-249
## 9795 Masterâ\200\231s 50-249
## 9796 Masterâ\200\231s 250-999
## 9797 Masterâ\200\231s 250-999
## 9798 Bachelorâ\200\231s 50-249
## 9799 Bachelorâ\200\231s <NA>
## 9800 Professional <NA>
## 9801 Masterâ\200\231s 0-49
## 9802 Bachelorâ\200\231s 250-999
## 9803 Doctoral <NA>
## 9804 Bachelorâ\200\231s 0-49
## 9805 Doctoral > 10,000
## 9806 Masterâ\200\231s > 10,000
## 9807 Doctoral > 10,000
## 9808 Professional 50-249
## 9809 Doctoral 0-49
## 9810 Masterâ\200\231s 50-249
## 9811 Bachelorâ\200\231s 1000-9,999
## 9812 Doctoral 250-999
## 9813 Doctoral 50-249
## 9814 Doctoral 50-249
## 9815 Bachelorâ\200\231s 0-49
## 9816 Bachelorâ\200\231s <NA>
## 9817 Doctoral 0-49
## 9818 Doctoral <NA>
## 9819 Bachelorâ\200\231s 50-249
## 9820 Masterâ\200\231s 250-999
## 9821 Masterâ\200\231s <NA>
## 9822 I prefer not to answer 50-249
## 9823 Masterâ\200\231s <NA>
## 9824 Bachelorâ\200\231s 0-49
## 9825 Bachelorâ\200\231s 0-49
## 9826 Masterâ\200\231s 50-249
## 9827 Masterâ\200\231s 1000-9,999
## 9828 Masterâ\200\231s 250-999
## 9829 Masterâ\200\231s 0-49
## 9830 Masterâ\200\231s <NA>
## 9831 Masterâ\200\231s 50-249
## 9832 Masterâ\200\231s <NA>
## 9833 Doctoral 250-999
## 9834 Masterâ\200\231s 50-249
## 9835 Bachelorâ\200\231s <NA>
## 9836 Bachelorâ\200\231s 50-249
## 9837 Masterâ\200\231s > 10,000
## 9838 Doctoral 250-999
## 9839 Doctoral > 10,000
## 9840 Professional 250-999
## 9841 Masterâ\200\231s 50-249
## 9842 Masterâ\200\231s 0-49
## 9843 Masterâ\200\231s > 10,000
## 9844 Doctoral 0-49
## 9845 Masterâ\200\231s <NA>
## 9846 Professional 0-49
## 9847 Bachelorâ\200\231s <NA>
## 9848 Doctoral 250-999
## 9849 Doctoral 1000-9,999
## 9850 Bachelorâ\200\231s 1000-9,999
## 9851 Masterâ\200\231s 0-49
## 9852 Doctoral > 10,000
## 9853 Masterâ\200\231s 1000-9,999
## 9854 Bachelorâ\200\231s 0-49
## 9855 Doctoral 50-249
## 9856 Bachelorâ\200\231s 50-249
## 9857 Bachelorâ\200\231s 0-49
## 9858 Masterâ\200\231s > 10,000
## 9859 Masterâ\200\231s 1000-9,999
## 9860 Bachelorâ\200\231s <NA>
## 9861 Doctoral 1000-9,999
## 9862 Masterâ\200\231s <NA>
## 9863 Masterâ\200\231s 1000-9,999
## 9864 Doctoral 50-249
## 9865 Masterâ\200\231s 0-49
## 9866 Doctoral 50-249
## 9867 Masterâ\200\231s 50-249
## 9868 Bachelorâ\200\231s 0-49
## 9869 Professional > 10,000
## 9870 Masterâ\200\231s 1000-9,999
## 9871 Bachelorâ\200\231s > 10,000
## 9872 Bachelorâ\200\231s 1000-9,999
## 9873 Doctoral <NA>
## 9874 Bachelorâ\200\231s <NA>
## 9875 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 9876 Masterâ\200\231s <NA>
## 9877 Doctoral 50-249
## 9878 Masterâ\200\231s 0-49
## 9879 Professional 0-49
## 9880 Masterâ\200\231s 50-249
## 9881 Doctoral 1000-9,999
## 9882 Bachelorâ\200\231s 1000-9,999
## 9883 Bachelorâ\200\231s 50-249
## 9884 Masterâ\200\231s 1000-9,999
## 9885 Bachelorâ\200\231s 50-249
## 9886 Some collegeuniversity study without earning a bachelorâ\200\231s 0-49
## 9887 Bachelorâ\200\231s 0-49
## 9888 Masterâ\200\231s 50-249
## 9889 No formal education past high school <NA>
## 9890 Masterâ\200\231s <NA>
## 9891 Masterâ\200\231s 0-49
## 9892 Doctoral <NA>
## 9893 Doctoral <NA>
## 9894 Bachelorâ\200\231s <NA>
## 9895 Doctoral <NA>
## 9896 Bachelorâ\200\231s 1000-9,999
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## 9554 3-4
## 9555 15-19
## 9556 3-4
## 9557 0
## 9558 <NA>
## 9559 <NA>
## 9560 1-2
## 9561 10-14
## 9562 <NA>
## 9563 0
## 9564 1-2
## 9565 20+
## 9566 20+
## 9567 <NA>
## 9568 1-2
## 9569 1-2
## 9570 1-2
## 9571 1-2
## 9572 3-4
## 9573 0
## 9574 20+
## 9575 1-2
## 9576 <NA>
## 9577 1-2
## 9578 <NA>
## 9579 1-2
## 9580 0
## 9581 20+
## 9582 5-9
## 9583 15-19
## 9584 1-2
## 9585 5-9
## 9586 1-2
## 9587 0
## 9588 <NA>
## 9589 20+
## 9590 20+
## 9591 15-19
## 9592 <NA>
## 9593 10-14
## 9594 1-2
## 9595 20+
## 9596 3-4
## 9597 15-19
## 9598 20+
## 9599 10-14
## 9600 <NA>
## 9601 <NA>
## 9602 15-19
## 9603 5-9
## 9604 <NA>
## 9605 3-4
## 9606 1-2
## 9607 <NA>
## 9608 <NA>
## 9609 15-19
## 9610 <NA>
## 9611 3-4
## 9612 20+
## 9613 15-19
## 9614 <NA>
## 9615 20+
## 9616 <NA>
## 9617 0
## 9618 20+
## 9619 5-9
## 9620 0
## 9621 <NA>
## 9622 0
## 9623 0
## 9624 0
## 9625 3-4
## 9626 5-9
## 9627 <NA>
## 9628 3-4
## 9629 20+
## 9630 3-4
## 9631 3-4
## 9632 20+
## 9633 20+
## 9634 5-9
## 9635 0
## 9636 3-4
## 9637 <NA>
## 9638 20+
## 9639 <NA>
## 9640 <NA>
## 9641 20+
## 9642 0
## 9643 1-2
## 9644 20+
## 9645 <NA>
## 9646 20+
## 9647 10-14
## 9648 3-4
## 9649 <NA>
## 9650 0
## 9651 20+
## 9652 1-2
## 9653 1-2
## 9654 5-9
## 9655 10-14
## 9656 20+
## 9657 <NA>
## 9658 20+
## 9659 3-4
## 9660 3-4
## 9661 1-2
## 9662 <NA>
## 9663 <NA>
## 9664 3-4
## 9665 1-2
## 9666 20+
## 9667 0
## 9668 5-9
## 9669 20+
## 9670 3-4
## 9671 5-9
## 9672 20+
## 9673 1-2
## 9674 20+
## 9675 1-2
## 9676 5-9
## 9677 10-14
## 9678 3-4
## 9679 10-14
## 9680 20+
## 9681 20+
## 9682 0
## 9683 <NA>
## 9684 3-4
## 9685 10-14
## 9686 0
## 9687 1-2
## 9688 <NA>
## 9689 20+
## 9690 1-2
## 9691 1-2
## 9692 20+
## 9693 3-4
## 9694 0
## 9695 20+
## 9696 1-2
## 9697 3-4
## 9698 3-4
## 9699 20+
## 9700 <NA>
## 9701 15-19
## 9702 <NA>
## 9703 5-9
## 9704 3-4
## 9705 20+
## 9706 5-9
## 9707 3-4
## 9708 3-4
## 9709 3-4
## 9710 <NA>
## 9711 <NA>
## 9712 3-4
## 9713 3-4
## 9714 <NA>
## 9715 1-2
## 9716 <NA>
## 9717 <NA>
## 9718 20+
## 9719 3-4
## 9720 3-4
## 9721 <NA>
## 9722 20+
## 9723 3-4
## 9724 <NA>
## 9725 3-4
## 9726 1-2
## 9727 <NA>
## 9728 20+
## 9729 1-2
## 9730 5-9
## 9731 0
## 9732 0
## 9733 15-19
## 9734 1-2
## 9735 1-2
## 9736 10-14
## 9737 20+
## 9738 <NA>
## 9739 3-4
## 9740 3-4
## 9741 20+
## 9742 20+
## 9743 20+
## 9744 <NA>
## 9745 <NA>
## 9746 5-9
## 9747 1-2
## 9748 <NA>
## 9749 3-4
## 9750 3-4
## 9751 1-2
## 9752 0
## 9753 20+
## 9754 <NA>
## 9755 3-4
## 9756 0
## 9757 3-4
## 9758 3-4
## 9759 <NA>
## 9760 <NA>
## 9761 1-2
## 9762 10-14
## 9763 <NA>
## 9764 3-4
## 9765 20+
## 9766 20+
## 9767 3-4
## 9768 <NA>
## 9769 1-2
## 9770 3-4
## 9771 5-9
## 9772 5-9
## 9773 3-4
## 9774 10-14
## 9775 0
## 9776 <NA>
## 9777 20+
## 9778 20+
## 9779 20+
## 9780 0
## 9781 3-4
## 9782 <NA>
## 9783 1-2
## 9784 1-2
## 9785 3-4
## 9786 1-2
## 9787 0
## 9788 5-9
## 9789 5-9
## 9790 3-4
## 9791 3-4
## 9792 0
## 9793 5-9
## 9794 3-4
## 9795 1-2
## 9796 5-9
## 9797 10-14
## 9798 0
## 9799 <NA>
## 9800 <NA>
## 9801 0
## 9802 15-19
## 9803 <NA>
## 9804 0
## 9805 0
## 9806 5-9
## 9807 5-9
## 9808 1-2
## 9809 1-2
## 9810 3-4
## 9811 20+
## 9812 20+
## 9813 20+
## 9814 5-9
## 9815 0
## 9816 <NA>
## 9817 0
## 9818 <NA>
## 9819 3-4
## 9820 20+
## 9821 <NA>
## 9822 20+
## 9823 <NA>
## 9824 0
## 9825 0
## 9826 1-2
## 9827 15-19
## 9828 3-4
## 9829 1-2
## 9830 <NA>
## 9831 1-2
## 9832 <NA>
## 9833 0
## 9834 5-9
## 9835 <NA>
## 9836 1-2
## 9837 5-9
## 9838 0
## 9839 20+
## 9840 0
## 9841 3-4
## 9842 5-9
## 9843 20+
## 9844 10-14
## 9845 <NA>
## 9846 0
## 9847 <NA>
## 9848 5-9
## 9849 1-2
## 9850 20+
## 9851 3-4
## 9852 20+
## 9853 3-4
## 9854 5-9
## 9855 20+
## 9856 0
## 9857 1-2
## 9858 20+
## 9859 20+
## 9860 <NA>
## 9861 1-2
## 9862 <NA>
## 9863 20+
## 9864 5-9
## 9865 5-9
## 9866 0
## 9867 3-4
## 9868 3-4
## 9869 20+
## 9870 3-4
## 9871 20+
## 9872 3-4
## 9873 <NA>
## 9874 <NA>
## 9875 1-2
## 9876 <NA>
## 9877 1-2
## 9878 1-2
## 9879 3-4
## 9880 1-2
## 9881 1-2
## 9882 1-2
## 9883 3-4
## 9884 15-19
## 9885 3-4
## 9886 3-4
## 9887 1-2
## 9888 3-4
## 9889 <NA>
## 9890 <NA>
## 9891 1-2
## 9892 <NA>
## 9893 <NA>
## 9894 <NA>
## 9895 <NA>
## 9896 20+
## 9897 <NA>
## 9898 20+
## 9899 5-9
## 9900 <NA>
## 9901 0
## 9902 5-9
## 9903 1-2
## 9904 <NA>
## 9905 0
## 9906 10-14
## 9907 10-14
## 9908 <NA>
## 9909 1-2
## 9910 1-2
## 9911 20+
## 9912 20+
## 9913 0
## 9914 3-4
## 9915 5-9
## 9916 0
## 9917 15-19
## 9918 1-2
## 9919 5-9
## 9920 20+
## 9921 10-14
## 9922 5-9
## 9923 10-14
## 9924 20+
## 9925 10-14
## 9926 1-2
## 9927 15-19
## 9928 20+
## 9929 <NA>
## 9930 <NA>
## 9931 15-19
## 9932 0
## 9933 <NA>
## 9934 20+
## 9935 5-9
## 9936 <NA>
## 9937 3-4
## 9938 <NA>
## 9939 5-9
## 9940 10-14
## 9941 5-9
## 9942 10-14
## 9943 <NA>
## 9944 3-4
## 9945 1-2
## 9946 10-14
## 9947 10-14
## 9948 20+
## 9949 1-2
## 9950 <NA>
## 9951 20+
## 9952 10-14
## 9953 <NA>
## 9954 20+
## 9955 10-14
## 9956 1-2
## 9957 3-4
## 9958 5-9
## 9959 <NA>
## 9960 20+
## 9961 20+
## 9962 1-2
## 9963 <NA>
## 9964 10-14
## 9965 20+
## 9966 <NA>
## 9967 1-2
## 9968 0
## 9969 1-2
## 9970 20+
## 9971 <NA>
## 9972 5-9
## 9973 20+
## 9974 20+
## 9975 0
## 9976 0
## 9977 20+
## 9978 20+
## 9979 3-4
## 9980 3-4
## 9981 1-2
## 9982 1-2
## 9983 1-2
## 9984 1-2
## 9985 3-4
## 9986 <NA>
## 9987 20+
## 9988 10-14
## 9989 <NA>
## 9990 15-19
## 9991 5-9
## 9992 20+
## 9993 3-4
## 9994 <NA>
## 9995 3-4
## 9996 1-2
## 9997 10-14
## 9998 <NA>
## 9999 3-4
## company_use_ml
## 1 I do not know
## 2 We have well established ML methods (i.e., models in production for more than 2 years)
## 3 <NA>
## 4 I do not know
## 5 No (we do not use ML methods)
## 6 We have well established ML methods (i.e., models in production for more than 2 years)
## 7 We are exploring ML methods (and may one day put a model into production)
## 8 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9 <NA>
## 10 We are exploring ML methods (and may one day put a model into production)
## 11 <NA>
## 12 We recently started using ML methods (i.e., models in production for less than 2 years)
## 13 We recently started using ML methods (i.e., models in production for less than 2 years)
## 14 I do not know
## 15 <NA>
## 16 We use ML methods for generating insights (but do not put working models into production)
## 17 We are exploring ML methods (and may one day put a model into production)
## 18 <NA>
## 19 We recently started using ML methods (i.e., models in production for less than 2 years)
## 20 We have well established ML methods (i.e., models in production for more than 2 years)
## 21 We are exploring ML methods (and may one day put a model into production)
## 22 We have well established ML methods (i.e., models in production for more than 2 years)
## 23 We are exploring ML methods (and may one day put a model into production)
## 24 No (we do not use ML methods)
## 25 We have well established ML methods (i.e., models in production for more than 2 years)
## 26 No (we do not use ML methods)
## 27 We are exploring ML methods (and may one day put a model into production)
## 28 <NA>
## 29 No (we do not use ML methods)
## 30 We use ML methods for generating insights (but do not put working models into production)
## 31 We recently started using ML methods (i.e., models in production for less than 2 years)
## 32 We are exploring ML methods (and may one day put a model into production)
## 33 No (we do not use ML methods)
## 34 We recently started using ML methods (i.e., models in production for less than 2 years)
## 35 We recently started using ML methods (i.e., models in production for less than 2 years)
## 36 We have well established ML methods (i.e., models in production for more than 2 years)
## 37 We recently started using ML methods (i.e., models in production for less than 2 years)
## 38 We are exploring ML methods (and may one day put a model into production)
## 39 We recently started using ML methods (i.e., models in production for less than 2 years)
## 40 We have well established ML methods (i.e., models in production for more than 2 years)
## 41 We are exploring ML methods (and may one day put a model into production)
## 42 <NA>
## 43 <NA>
## 44 We are exploring ML methods (and may one day put a model into production)
## 45 No (we do not use ML methods)
## 46 No (we do not use ML methods)
## 47 We are exploring ML methods (and may one day put a model into production)
## 48 No (we do not use ML methods)
## 49 No (we do not use ML methods)
## 50 We recently started using ML methods (i.e., models in production for less than 2 years)
## 51 We have well established ML methods (i.e., models in production for more than 2 years)
## 52 We have well established ML methods (i.e., models in production for more than 2 years)
## 53 <NA>
## 54 We have well established ML methods (i.e., models in production for more than 2 years)
## 55 We use ML methods for generating insights (but do not put working models into production)
## 56 No (we do not use ML methods)
## 57 No (we do not use ML methods)
## 58 I do not know
## 59 We are exploring ML methods (and may one day put a model into production)
## 60 <NA>
## 61 We recently started using ML methods (i.e., models in production for less than 2 years)
## 62 We recently started using ML methods (i.e., models in production for less than 2 years)
## 63 <NA>
## 64 We are exploring ML methods (and may one day put a model into production)
## 65 We recently started using ML methods (i.e., models in production for less than 2 years)
## 66 No (we do not use ML methods)
## 67 We have well established ML methods (i.e., models in production for more than 2 years)
## 68 We recently started using ML methods (i.e., models in production for less than 2 years)
## 69 I do not know
## 70 <NA>
## 71 We have well established ML methods (i.e., models in production for more than 2 years)
## 72 No (we do not use ML methods)
## 73 <NA>
## 74 <NA>
## 75 I do not know
## 76 <NA>
## 77 We recently started using ML methods (i.e., models in production for less than 2 years)
## 78 We use ML methods for generating insights (but do not put working models into production)
## 79 <NA>
## 80 We use ML methods for generating insights (but do not put working models into production)
## 81 We recently started using ML methods (i.e., models in production for less than 2 years)
## 82 We are exploring ML methods (and may one day put a model into production)
## 83 No (we do not use ML methods)
## 84 <NA>
## 85 We are exploring ML methods (and may one day put a model into production)
## 86 We have well established ML methods (i.e., models in production for more than 2 years)
## 87 We recently started using ML methods (i.e., models in production for less than 2 years)
## 88 We are exploring ML methods (and may one day put a model into production)
## 89 We use ML methods for generating insights (but do not put working models into production)
## 90 We recently started using ML methods (i.e., models in production for less than 2 years)
## 91 We are exploring ML methods (and may one day put a model into production)
## 92 We are exploring ML methods (and may one day put a model into production)
## 93 We have well established ML methods (i.e., models in production for more than 2 years)
## 94 We are exploring ML methods (and may one day put a model into production)
## 95 I do not know
## 96 No (we do not use ML methods)
## 97 No (we do not use ML methods)
## 98 I do not know
## 99 We have well established ML methods (i.e., models in production for more than 2 years)
## 100 We are exploring ML methods (and may one day put a model into production)
## 101 <NA>
## 102 No (we do not use ML methods)
## 103 We are exploring ML methods (and may one day put a model into production)
## 104 We are exploring ML methods (and may one day put a model into production)
## 105 We recently started using ML methods (i.e., models in production for less than 2 years)
## 106 <NA>
## 107 <NA>
## 108 We have well established ML methods (i.e., models in production for more than 2 years)
## 109 <NA>
## 110 We recently started using ML methods (i.e., models in production for less than 2 years)
## 111 We recently started using ML methods (i.e., models in production for less than 2 years)
## 112 <NA>
## 113 We have well established ML methods (i.e., models in production for more than 2 years)
## 114 We recently started using ML methods (i.e., models in production for less than 2 years)
## 115 We have well established ML methods (i.e., models in production for more than 2 years)
## 116 <NA>
## 117 <NA>
## 118 We recently started using ML methods (i.e., models in production for less than 2 years)
## 119 No (we do not use ML methods)
## 120 We have well established ML methods (i.e., models in production for more than 2 years)
## 121 We use ML methods for generating insights (but do not put working models into production)
## 122 We are exploring ML methods (and may one day put a model into production)
## 123 <NA>
## 124 We recently started using ML methods (i.e., models in production for less than 2 years)
## 125 We have well established ML methods (i.e., models in production for more than 2 years)
## 126 We use ML methods for generating insights (but do not put working models into production)
## 127 <NA>
## 128 <NA>
## 129 <NA>
## 130 We recently started using ML methods (i.e., models in production for less than 2 years)
## 131 We have well established ML methods (i.e., models in production for more than 2 years)
## 132 <NA>
## 133 No (we do not use ML methods)
## 134 We recently started using ML methods (i.e., models in production for less than 2 years)
## 135 We are exploring ML methods (and may one day put a model into production)
## 136 We have well established ML methods (i.e., models in production for more than 2 years)
## 137 We have well established ML methods (i.e., models in production for more than 2 years)
## 138 <NA>
## 139 We have well established ML methods (i.e., models in production for more than 2 years)
## 140 <NA>
## 141 No (we do not use ML methods)
## 142 We use ML methods for generating insights (but do not put working models into production)
## 143 No (we do not use ML methods)
## 144 We are exploring ML methods (and may one day put a model into production)
## 145 We use ML methods for generating insights (but do not put working models into production)
## 146 I do not know
## 147 We have well established ML methods (i.e., models in production for more than 2 years)
## 148 <NA>
## 149 <NA>
## 150 We are exploring ML methods (and may one day put a model into production)
## 151 <NA>
## 152 We are exploring ML methods (and may one day put a model into production)
## 153 We are exploring ML methods (and may one day put a model into production)
## 154 We recently started using ML methods (i.e., models in production for less than 2 years)
## 155 We have well established ML methods (i.e., models in production for more than 2 years)
## 156 We recently started using ML methods (i.e., models in production for less than 2 years)
## 157 We use ML methods for generating insights (but do not put working models into production)
## 158 We have well established ML methods (i.e., models in production for more than 2 years)
## 159 We are exploring ML methods (and may one day put a model into production)
## 160 We have well established ML methods (i.e., models in production for more than 2 years)
## 161 No (we do not use ML methods)
## 162 No (we do not use ML methods)
## 163 <NA>
## 164 <NA>
## 165 We have well established ML methods (i.e., models in production for more than 2 years)
## 166 No (we do not use ML methods)
## 167 We have well established ML methods (i.e., models in production for more than 2 years)
## 168 We have well established ML methods (i.e., models in production for more than 2 years)
## 169 We use ML methods for generating insights (but do not put working models into production)
## 170 We are exploring ML methods (and may one day put a model into production)
## 171 <NA>
## 172 <NA>
## 173 We have well established ML methods (i.e., models in production for more than 2 years)
## 174 <NA>
## 175 We have well established ML methods (i.e., models in production for more than 2 years)
## 176 <NA>
## 177 We recently started using ML methods (i.e., models in production for less than 2 years)
## 178 We have well established ML methods (i.e., models in production for more than 2 years)
## 179 <NA>
## 180 We recently started using ML methods (i.e., models in production for less than 2 years)
## 181 No (we do not use ML methods)
## 182 We use ML methods for generating insights (but do not put working models into production)
## 183 I do not know
## 184 I do not know
## 185 We have well established ML methods (i.e., models in production for more than 2 years)
## 186 No (we do not use ML methods)
## 187 We are exploring ML methods (and may one day put a model into production)
## 188 We recently started using ML methods (i.e., models in production for less than 2 years)
## 189 We have well established ML methods (i.e., models in production for more than 2 years)
## 190 We are exploring ML methods (and may one day put a model into production)
## 191 I do not know
## 192 We have well established ML methods (i.e., models in production for more than 2 years)
## 193 <NA>
## 194 We recently started using ML methods (i.e., models in production for less than 2 years)
## 195 <NA>
## 196 <NA>
## 197 <NA>
## 198 We use ML methods for generating insights (but do not put working models into production)
## 199 I do not know
## 200 We have well established ML methods (i.e., models in production for more than 2 years)
## 201 <NA>
## 202 We use ML methods for generating insights (but do not put working models into production)
## 203 We have well established ML methods (i.e., models in production for more than 2 years)
## 204 <NA>
## 205 No (we do not use ML methods)
## 206 No (we do not use ML methods)
## 207 We recently started using ML methods (i.e., models in production for less than 2 years)
## 208 We use ML methods for generating insights (but do not put working models into production)
## 209 We use ML methods for generating insights (but do not put working models into production)
## 210 We are exploring ML methods (and may one day put a model into production)
## 211 <NA>
## 212 We have well established ML methods (i.e., models in production for more than 2 years)
## 213 We use ML methods for generating insights (but do not put working models into production)
## 214 <NA>
## 215 We recently started using ML methods (i.e., models in production for less than 2 years)
## 216 <NA>
## 217 We are exploring ML methods (and may one day put a model into production)
## 218 <NA>
## 219 We have well established ML methods (i.e., models in production for more than 2 years)
## 220 We recently started using ML methods (i.e., models in production for less than 2 years)
## 221 We use ML methods for generating insights (but do not put working models into production)
## 222 We recently started using ML methods (i.e., models in production for less than 2 years)
## 223 We recently started using ML methods (i.e., models in production for less than 2 years)
## 224 We recently started using ML methods (i.e., models in production for less than 2 years)
## 225 We are exploring ML methods (and may one day put a model into production)
## 226 We recently started using ML methods (i.e., models in production for less than 2 years)
## 227 <NA>
## 228 <NA>
## 229 <NA>
## 230 We have well established ML methods (i.e., models in production for more than 2 years)
## 231 I do not know
## 232 <NA>
## 233 We have well established ML methods (i.e., models in production for more than 2 years)
## 234 We are exploring ML methods (and may one day put a model into production)
## 235 We recently started using ML methods (i.e., models in production for less than 2 years)
## 236 We use ML methods for generating insights (but do not put working models into production)
## 237 We recently started using ML methods (i.e., models in production for less than 2 years)
## 238 We have well established ML methods (i.e., models in production for more than 2 years)
## 239 No (we do not use ML methods)
## 240 No (we do not use ML methods)
## 241 We have well established ML methods (i.e., models in production for more than 2 years)
## 242 We are exploring ML methods (and may one day put a model into production)
## 243 <NA>
## 244 <NA>
## 245 We are exploring ML methods (and may one day put a model into production)
## 246 <NA>
## 247 We have well established ML methods (i.e., models in production for more than 2 years)
## 248 <NA>
## 249 We recently started using ML methods (i.e., models in production for less than 2 years)
## 250 We are exploring ML methods (and may one day put a model into production)
## 251 We recently started using ML methods (i.e., models in production for less than 2 years)
## 252 We use ML methods for generating insights (but do not put working models into production)
## 253 We recently started using ML methods (i.e., models in production for less than 2 years)
## 254 We have well established ML methods (i.e., models in production for more than 2 years)
## 255 No (we do not use ML methods)
## 256 We recently started using ML methods (i.e., models in production for less than 2 years)
## 257 <NA>
## 258 We use ML methods for generating insights (but do not put working models into production)
## 259 We have well established ML methods (i.e., models in production for more than 2 years)
## 260 No (we do not use ML methods)
## 261 We recently started using ML methods (i.e., models in production for less than 2 years)
## 262 We have well established ML methods (i.e., models in production for more than 2 years)
## 263 We have well established ML methods (i.e., models in production for more than 2 years)
## 264 We have well established ML methods (i.e., models in production for more than 2 years)
## 265 <NA>
## 266 <NA>
## 267 We are exploring ML methods (and may one day put a model into production)
## 268 We use ML methods for generating insights (but do not put working models into production)
## 269 <NA>
## 270 No (we do not use ML methods)
## 271 We have well established ML methods (i.e., models in production for more than 2 years)
## 272 We have well established ML methods (i.e., models in production for more than 2 years)
## 273 We recently started using ML methods (i.e., models in production for less than 2 years)
## 274 We are exploring ML methods (and may one day put a model into production)
## 275 <NA>
## 276 <NA>
## 277 No (we do not use ML methods)
## 278 I do not know
## 279 We recently started using ML methods (i.e., models in production for less than 2 years)
## 280 We recently started using ML methods (i.e., models in production for less than 2 years)
## 281 No (we do not use ML methods)
## 282 We recently started using ML methods (i.e., models in production for less than 2 years)
## 283 <NA>
## 284 We have well established ML methods (i.e., models in production for more than 2 years)
## 285 No (we do not use ML methods)
## 286 <NA>
## 287 <NA>
## 288 We use ML methods for generating insights (but do not put working models into production)
## 289 We recently started using ML methods (i.e., models in production for less than 2 years)
## 290 <NA>
## 291 We use ML methods for generating insights (but do not put working models into production)
## 292 We have well established ML methods (i.e., models in production for more than 2 years)
## 293 We use ML methods for generating insights (but do not put working models into production)
## 294 We recently started using ML methods (i.e., models in production for less than 2 years)
## 295 We have well established ML methods (i.e., models in production for more than 2 years)
## 296 We recently started using ML methods (i.e., models in production for less than 2 years)
## 297 We recently started using ML methods (i.e., models in production for less than 2 years)
## 298 I do not know
## 299 We have well established ML methods (i.e., models in production for more than 2 years)
## 300 We recently started using ML methods (i.e., models in production for less than 2 years)
## 301 We use ML methods for generating insights (but do not put working models into production)
## 302 We are exploring ML methods (and may one day put a model into production)
## 303 We are exploring ML methods (and may one day put a model into production)
## 304 No (we do not use ML methods)
## 305 We are exploring ML methods (and may one day put a model into production)
## 306 We recently started using ML methods (i.e., models in production for less than 2 years)
## 307 <NA>
## 308 No (we do not use ML methods)
## 309 <NA>
## 310 <NA>
## 311 We use ML methods for generating insights (but do not put working models into production)
## 312 We use ML methods for generating insights (but do not put working models into production)
## 313 We have well established ML methods (i.e., models in production for more than 2 years)
## 314 We recently started using ML methods (i.e., models in production for less than 2 years)
## 315 <NA>
## 316 We use ML methods for generating insights (but do not put working models into production)
## 317 <NA>
## 318 No (we do not use ML methods)
## 319 We recently started using ML methods (i.e., models in production for less than 2 years)
## 320 I do not know
## 321 We have well established ML methods (i.e., models in production for more than 2 years)
## 322 We recently started using ML methods (i.e., models in production for less than 2 years)
## 323 We are exploring ML methods (and may one day put a model into production)
## 324 We use ML methods for generating insights (but do not put working models into production)
## 325 <NA>
## 326 No (we do not use ML methods)
## 327 We are exploring ML methods (and may one day put a model into production)
## 328 No (we do not use ML methods)
## 329 <NA>
## 330 No (we do not use ML methods)
## 331 No (we do not use ML methods)
## 332 We recently started using ML methods (i.e., models in production for less than 2 years)
## 333 <NA>
## 334 No (we do not use ML methods)
## 335 We recently started using ML methods (i.e., models in production for less than 2 years)
## 336 We are exploring ML methods (and may one day put a model into production)
## 337 We recently started using ML methods (i.e., models in production for less than 2 years)
## 338 I do not know
## 339 We have well established ML methods (i.e., models in production for more than 2 years)
## 340 I do not know
## 341 We have well established ML methods (i.e., models in production for more than 2 years)
## 342 <NA>
## 343 We recently started using ML methods (i.e., models in production for less than 2 years)
## 344 I do not know
## 345 <NA>
## 346 <NA>
## 347 <NA>
## 348 We have well established ML methods (i.e., models in production for more than 2 years)
## 349 <NA>
## 350 <NA>
## 351 <NA>
## 352 We have well established ML methods (i.e., models in production for more than 2 years)
## 353 <NA>
## 354 I do not know
## 355 <NA>
## 356 No (we do not use ML methods)
## 357 We have well established ML methods (i.e., models in production for more than 2 years)
## 358 We have well established ML methods (i.e., models in production for more than 2 years)
## 359 We use ML methods for generating insights (but do not put working models into production)
## 360 We use ML methods for generating insights (but do not put working models into production)
## 361 We recently started using ML methods (i.e., models in production for less than 2 years)
## 362 We are exploring ML methods (and may one day put a model into production)
## 363 We are exploring ML methods (and may one day put a model into production)
## 364 We are exploring ML methods (and may one day put a model into production)
## 365 We use ML methods for generating insights (but do not put working models into production)
## 366 No (we do not use ML methods)
## 367 <NA>
## 368 We are exploring ML methods (and may one day put a model into production)
## 369 We are exploring ML methods (and may one day put a model into production)
## 370 We recently started using ML methods (i.e., models in production for less than 2 years)
## 371 We are exploring ML methods (and may one day put a model into production)
## 372 We use ML methods for generating insights (but do not put working models into production)
## 373 We use ML methods for generating insights (but do not put working models into production)
## 374 <NA>
## 375 <NA>
## 376 We recently started using ML methods (i.e., models in production for less than 2 years)
## 377 I do not know
## 378 No (we do not use ML methods)
## 379 We recently started using ML methods (i.e., models in production for less than 2 years)
## 380 We are exploring ML methods (and may one day put a model into production)
## 381 No (we do not use ML methods)
## 382 No (we do not use ML methods)
## 383 We are exploring ML methods (and may one day put a model into production)
## 384 We recently started using ML methods (i.e., models in production for less than 2 years)
## 385 We have well established ML methods (i.e., models in production for more than 2 years)
## 386 We have well established ML methods (i.e., models in production for more than 2 years)
## 387 We recently started using ML methods (i.e., models in production for less than 2 years)
## 388 I do not know
## 389 No (we do not use ML methods)
## 390 We recently started using ML methods (i.e., models in production for less than 2 years)
## 391 <NA>
## 392 <NA>
## 393 I do not know
## 394 We use ML methods for generating insights (but do not put working models into production)
## 395 We are exploring ML methods (and may one day put a model into production)
## 396 We have well established ML methods (i.e., models in production for more than 2 years)
## 397 We have well established ML methods (i.e., models in production for more than 2 years)
## 398 I do not know
## 399 We have well established ML methods (i.e., models in production for more than 2 years)
## 400 <NA>
## 401 We are exploring ML methods (and may one day put a model into production)
## 402 <NA>
## 403 We have well established ML methods (i.e., models in production for more than 2 years)
## 404 <NA>
## 405 <NA>
## 406 <NA>
## 407 We have well established ML methods (i.e., models in production for more than 2 years)
## 408 We are exploring ML methods (and may one day put a model into production)
## 409 <NA>
## 410 No (we do not use ML methods)
## 411 <NA>
## 412 No (we do not use ML methods)
## 413 We use ML methods for generating insights (but do not put working models into production)
## 414 I do not know
## 415 I do not know
## 416 <NA>
## 417 We are exploring ML methods (and may one day put a model into production)
## 418 No (we do not use ML methods)
## 419 <NA>
## 420 <NA>
## 421 We are exploring ML methods (and may one day put a model into production)
## 422 We have well established ML methods (i.e., models in production for more than 2 years)
## 423 We have well established ML methods (i.e., models in production for more than 2 years)
## 424 <NA>
## 425 No (we do not use ML methods)
## 426 We recently started using ML methods (i.e., models in production for less than 2 years)
## 427 <NA>
## 428 We recently started using ML methods (i.e., models in production for less than 2 years)
## 429 We are exploring ML methods (and may one day put a model into production)
## 430 <NA>
## 431 We are exploring ML methods (and may one day put a model into production)
## 432 <NA>
## 433 <NA>
## 434 <NA>
## 435 <NA>
## 436 We are exploring ML methods (and may one day put a model into production)
## 437 We use ML methods for generating insights (but do not put working models into production)
## 438 No (we do not use ML methods)
## 439 No (we do not use ML methods)
## 440 <NA>
## 441 <NA>
## 442 <NA>
## 443 We recently started using ML methods (i.e., models in production for less than 2 years)
## 444 I do not know
## 445 <NA>
## 446 <NA>
## 447 We recently started using ML methods (i.e., models in production for less than 2 years)
## 448 We are exploring ML methods (and may one day put a model into production)
## 449 We use ML methods for generating insights (but do not put working models into production)
## 450 We have well established ML methods (i.e., models in production for more than 2 years)
## 451 We recently started using ML methods (i.e., models in production for less than 2 years)
## 452 <NA>
## 453 We recently started using ML methods (i.e., models in production for less than 2 years)
## 454 I do not know
## 455 We have well established ML methods (i.e., models in production for more than 2 years)
## 456 We are exploring ML methods (and may one day put a model into production)
## 457 No (we do not use ML methods)
## 458 We have well established ML methods (i.e., models in production for more than 2 years)
## 459 <NA>
## 460 We recently started using ML methods (i.e., models in production for less than 2 years)
## 461 I do not know
## 462 We are exploring ML methods (and may one day put a model into production)
## 463 We have well established ML methods (i.e., models in production for more than 2 years)
## 464 <NA>
## 465 We use ML methods for generating insights (but do not put working models into production)
## 466 <NA>
## 467 We have well established ML methods (i.e., models in production for more than 2 years)
## 468 No (we do not use ML methods)
## 469 We use ML methods for generating insights (but do not put working models into production)
## 470 We have well established ML methods (i.e., models in production for more than 2 years)
## 471 <NA>
## 472 We have well established ML methods (i.e., models in production for more than 2 years)
## 473 We have well established ML methods (i.e., models in production for more than 2 years)
## 474 No (we do not use ML methods)
## 475 <NA>
## 476 We recently started using ML methods (i.e., models in production for less than 2 years)
## 477 We have well established ML methods (i.e., models in production for more than 2 years)
## 478 We recently started using ML methods (i.e., models in production for less than 2 years)
## 479 We are exploring ML methods (and may one day put a model into production)
## 480 <NA>
## 481 We are exploring ML methods (and may one day put a model into production)
## 482 No (we do not use ML methods)
## 483 We recently started using ML methods (i.e., models in production for less than 2 years)
## 484 No (we do not use ML methods)
## 485 <NA>
## 486 We are exploring ML methods (and may one day put a model into production)
## 487 We have well established ML methods (i.e., models in production for more than 2 years)
## 488 We have well established ML methods (i.e., models in production for more than 2 years)
## 489 <NA>
## 490 <NA>
## 491 We recently started using ML methods (i.e., models in production for less than 2 years)
## 492 No (we do not use ML methods)
## 493 No (we do not use ML methods)
## 494 We have well established ML methods (i.e., models in production for more than 2 years)
## 495 We are exploring ML methods (and may one day put a model into production)
## 496 We are exploring ML methods (and may one day put a model into production)
## 497 We are exploring ML methods (and may one day put a model into production)
## 498 We have well established ML methods (i.e., models in production for more than 2 years)
## 499 We have well established ML methods (i.e., models in production for more than 2 years)
## 500 We have well established ML methods (i.e., models in production for more than 2 years)
## 501 <NA>
## 502 I do not know
## 503 We have well established ML methods (i.e., models in production for more than 2 years)
## 504 We have well established ML methods (i.e., models in production for more than 2 years)
## 505 We have well established ML methods (i.e., models in production for more than 2 years)
## 506 We have well established ML methods (i.e., models in production for more than 2 years)
## 507 <NA>
## 508 We are exploring ML methods (and may one day put a model into production)
## 509 We have well established ML methods (i.e., models in production for more than 2 years)
## 510 <NA>
## 511 We use ML methods for generating insights (but do not put working models into production)
## 512 We are exploring ML methods (and may one day put a model into production)
## 513 We have well established ML methods (i.e., models in production for more than 2 years)
## 514 No (we do not use ML methods)
## 515 We have well established ML methods (i.e., models in production for more than 2 years)
## 516 I do not know
## 517 <NA>
## 518 We use ML methods for generating insights (but do not put working models into production)
## 519 <NA>
## 520 We have well established ML methods (i.e., models in production for more than 2 years)
## 521 No (we do not use ML methods)
## 522 <NA>
## 523 We recently started using ML methods (i.e., models in production for less than 2 years)
## 524 We are exploring ML methods (and may one day put a model into production)
## 525 No (we do not use ML methods)
## 526 We have well established ML methods (i.e., models in production for more than 2 years)
## 527 We recently started using ML methods (i.e., models in production for less than 2 years)
## 528 <NA>
## 529 We recently started using ML methods (i.e., models in production for less than 2 years)
## 530 <NA>
## 531 <NA>
## 532 We recently started using ML methods (i.e., models in production for less than 2 years)
## 533 We have well established ML methods (i.e., models in production for more than 2 years)
## 534 We use ML methods for generating insights (but do not put working models into production)
## 535 We have well established ML methods (i.e., models in production for more than 2 years)
## 536 <NA>
## 537 <NA>
## 538 No (we do not use ML methods)
## 539 We use ML methods for generating insights (but do not put working models into production)
## 540 <NA>
## 541 We have well established ML methods (i.e., models in production for more than 2 years)
## 542 We use ML methods for generating insights (but do not put working models into production)
## 543 <NA>
## 544 We are exploring ML methods (and may one day put a model into production)
## 545 <NA>
## 546 We have well established ML methods (i.e., models in production for more than 2 years)
## 547 We are exploring ML methods (and may one day put a model into production)
## 548 <NA>
## 549 <NA>
## 550 We recently started using ML methods (i.e., models in production for less than 2 years)
## 551 We have well established ML methods (i.e., models in production for more than 2 years)
## 552 We recently started using ML methods (i.e., models in production for less than 2 years)
## 553 We have well established ML methods (i.e., models in production for more than 2 years)
## 554 We have well established ML methods (i.e., models in production for more than 2 years)
## 555 No (we do not use ML methods)
## 556 We use ML methods for generating insights (but do not put working models into production)
## 557 We use ML methods for generating insights (but do not put working models into production)
## 558 <NA>
## 559 We recently started using ML methods (i.e., models in production for less than 2 years)
## 560 <NA>
## 561 We recently started using ML methods (i.e., models in production for less than 2 years)
## 562 We recently started using ML methods (i.e., models in production for less than 2 years)
## 563 I do not know
## 564 <NA>
## 565 We have well established ML methods (i.e., models in production for more than 2 years)
## 566 We are exploring ML methods (and may one day put a model into production)
## 567 We are exploring ML methods (and may one day put a model into production)
## 568 We have well established ML methods (i.e., models in production for more than 2 years)
## 569 We are exploring ML methods (and may one day put a model into production)
## 570 We have well established ML methods (i.e., models in production for more than 2 years)
## 571 <NA>
## 572 We recently started using ML methods (i.e., models in production for less than 2 years)
## 573 We are exploring ML methods (and may one day put a model into production)
## 574 We recently started using ML methods (i.e., models in production for less than 2 years)
## 575 <NA>
## 576 We are exploring ML methods (and may one day put a model into production)
## 577 We are exploring ML methods (and may one day put a model into production)
## 578 We recently started using ML methods (i.e., models in production for less than 2 years)
## 579 We use ML methods for generating insights (but do not put working models into production)
## 580 <NA>
## 581 We are exploring ML methods (and may one day put a model into production)
## 582 <NA>
## 583 No (we do not use ML methods)
## 584 No (we do not use ML methods)
## 585 We recently started using ML methods (i.e., models in production for less than 2 years)
## 586 No (we do not use ML methods)
## 587 We are exploring ML methods (and may one day put a model into production)
## 588 We have well established ML methods (i.e., models in production for more than 2 years)
## 589 <NA>
## 590 We have well established ML methods (i.e., models in production for more than 2 years)
## 591 <NA>
## 592 No (we do not use ML methods)
## 593 <NA>
## 594 We use ML methods for generating insights (but do not put working models into production)
## 595 We have well established ML methods (i.e., models in production for more than 2 years)
## 596 <NA>
## 597 <NA>
## 598 <NA>
## 599 <NA>
## 600 <NA>
## 601 No (we do not use ML methods)
## 602 I do not know
## 603 <NA>
## 604 <NA>
## 605 <NA>
## 606 We are exploring ML methods (and may one day put a model into production)
## 607 We use ML methods for generating insights (but do not put working models into production)
## 608 We have well established ML methods (i.e., models in production for more than 2 years)
## 609 <NA>
## 610 We are exploring ML methods (and may one day put a model into production)
## 611 No (we do not use ML methods)
## 612 I do not know
## 613 <NA>
## 614 We are exploring ML methods (and may one day put a model into production)
## 615 We are exploring ML methods (and may one day put a model into production)
## 616 No (we do not use ML methods)
## 617 No (we do not use ML methods)
## 618 We have well established ML methods (i.e., models in production for more than 2 years)
## 619 We have well established ML methods (i.e., models in production for more than 2 years)
## 620 We have well established ML methods (i.e., models in production for more than 2 years)
## 621 We have well established ML methods (i.e., models in production for more than 2 years)
## 622 <NA>
## 623 We have well established ML methods (i.e., models in production for more than 2 years)
## 624 <NA>
## 625 We are exploring ML methods (and may one day put a model into production)
## 626 We have well established ML methods (i.e., models in production for more than 2 years)
## 627 We recently started using ML methods (i.e., models in production for less than 2 years)
## 628 <NA>
## 629 We are exploring ML methods (and may one day put a model into production)
## 630 No (we do not use ML methods)
## 631 We have well established ML methods (i.e., models in production for more than 2 years)
## 632 <NA>
## 633 We recently started using ML methods (i.e., models in production for less than 2 years)
## 634 We have well established ML methods (i.e., models in production for more than 2 years)
## 635 We recently started using ML methods (i.e., models in production for less than 2 years)
## 636 We are exploring ML methods (and may one day put a model into production)
## 637 We use ML methods for generating insights (but do not put working models into production)
## 638 <NA>
## 639 <NA>
## 640 <NA>
## 641 We are exploring ML methods (and may one day put a model into production)
## 642 <NA>
## 643 We have well established ML methods (i.e., models in production for more than 2 years)
## 644 We have well established ML methods (i.e., models in production for more than 2 years)
## 645 We have well established ML methods (i.e., models in production for more than 2 years)
## 646 <NA>
## 647 <NA>
## 648 I do not know
## 649 We use ML methods for generating insights (but do not put working models into production)
## 650 We are exploring ML methods (and may one day put a model into production)
## 651 <NA>
## 652 <NA>
## 653 We have well established ML methods (i.e., models in production for more than 2 years)
## 654 <NA>
## 655 We have well established ML methods (i.e., models in production for more than 2 years)
## 656 We are exploring ML methods (and may one day put a model into production)
## 657 I do not know
## 658 We recently started using ML methods (i.e., models in production for less than 2 years)
## 659 <NA>
## 660 We have well established ML methods (i.e., models in production for more than 2 years)
## 661 We recently started using ML methods (i.e., models in production for less than 2 years)
## 662 <NA>
## 663 We have well established ML methods (i.e., models in production for more than 2 years)
## 664 <NA>
## 665 We have well established ML methods (i.e., models in production for more than 2 years)
## 666 No (we do not use ML methods)
## 667 <NA>
## 668 <NA>
## 669 No (we do not use ML methods)
## 670 <NA>
## 671 We recently started using ML methods (i.e., models in production for less than 2 years)
## 672 <NA>
## 673 We are exploring ML methods (and may one day put a model into production)
## 674 We are exploring ML methods (and may one day put a model into production)
## 675 We have well established ML methods (i.e., models in production for more than 2 years)
## 676 We recently started using ML methods (i.e., models in production for less than 2 years)
## 677 No (we do not use ML methods)
## 678 <NA>
## 679 <NA>
## 680 No (we do not use ML methods)
## 681 I do not know
## 682 We recently started using ML methods (i.e., models in production for less than 2 years)
## 683 We have well established ML methods (i.e., models in production for more than 2 years)
## 684 We recently started using ML methods (i.e., models in production for less than 2 years)
## 685 <NA>
## 686 <NA>
## 687 We recently started using ML methods (i.e., models in production for less than 2 years)
## 688 <NA>
## 689 We are exploring ML methods (and may one day put a model into production)
## 690 We have well established ML methods (i.e., models in production for more than 2 years)
## 691 We are exploring ML methods (and may one day put a model into production)
## 692 We have well established ML methods (i.e., models in production for more than 2 years)
## 693 We use ML methods for generating insights (but do not put working models into production)
## 694 We have well established ML methods (i.e., models in production for more than 2 years)
## 695 We use ML methods for generating insights (but do not put working models into production)
## 696 <NA>
## 697 We use ML methods for generating insights (but do not put working models into production)
## 698 We recently started using ML methods (i.e., models in production for less than 2 years)
## 699 We recently started using ML methods (i.e., models in production for less than 2 years)
## 700 We have well established ML methods (i.e., models in production for more than 2 years)
## 701 We have well established ML methods (i.e., models in production for more than 2 years)
## 702 <NA>
## 703 <NA>
## 704 We are exploring ML methods (and may one day put a model into production)
## 705 We have well established ML methods (i.e., models in production for more than 2 years)
## 706 I do not know
## 707 We have well established ML methods (i.e., models in production for more than 2 years)
## 708 We have well established ML methods (i.e., models in production for more than 2 years)
## 709 <NA>
## 710 <NA>
## 711 We recently started using ML methods (i.e., models in production for less than 2 years)
## 712 No (we do not use ML methods)
## 713 We use ML methods for generating insights (but do not put working models into production)
## 714 We recently started using ML methods (i.e., models in production for less than 2 years)
## 715 <NA>
## 716 No (we do not use ML methods)
## 717 We are exploring ML methods (and may one day put a model into production)
## 718 <NA>
## 719 <NA>
## 720 We recently started using ML methods (i.e., models in production for less than 2 years)
## 721 I do not know
## 722 <NA>
## 723 <NA>
## 724 We recently started using ML methods (i.e., models in production for less than 2 years)
## 725 No (we do not use ML methods)
## 726 We use ML methods for generating insights (but do not put working models into production)
## 727 We have well established ML methods (i.e., models in production for more than 2 years)
## 728 We are exploring ML methods (and may one day put a model into production)
## 729 We have well established ML methods (i.e., models in production for more than 2 years)
## 730 <NA>
## 731 We recently started using ML methods (i.e., models in production for less than 2 years)
## 732 <NA>
## 733 We recently started using ML methods (i.e., models in production for less than 2 years)
## 734 We use ML methods for generating insights (but do not put working models into production)
## 735 We recently started using ML methods (i.e., models in production for less than 2 years)
## 736 We are exploring ML methods (and may one day put a model into production)
## 737 We are exploring ML methods (and may one day put a model into production)
## 738 <NA>
## 739 <NA>
## 740 We use ML methods for generating insights (but do not put working models into production)
## 741 We have well established ML methods (i.e., models in production for more than 2 years)
## 742 <NA>
## 743 No (we do not use ML methods)
## 744 We have well established ML methods (i.e., models in production for more than 2 years)
## 745 No (we do not use ML methods)
## 746 We use ML methods for generating insights (but do not put working models into production)
## 747 <NA>
## 748 <NA>
## 749 We have well established ML methods (i.e., models in production for more than 2 years)
## 750 We recently started using ML methods (i.e., models in production for less than 2 years)
## 751 I do not know
## 752 <NA>
## 753 We use ML methods for generating insights (but do not put working models into production)
## 754 We have well established ML methods (i.e., models in production for more than 2 years)
## 755 We are exploring ML methods (and may one day put a model into production)
## 756 We recently started using ML methods (i.e., models in production for less than 2 years)
## 757 No (we do not use ML methods)
## 758 No (we do not use ML methods)
## 759 We use ML methods for generating insights (but do not put working models into production)
## 760 We are exploring ML methods (and may one day put a model into production)
## 761 We recently started using ML methods (i.e., models in production for less than 2 years)
## 762 I do not know
## 763 I do not know
## 764 We recently started using ML methods (i.e., models in production for less than 2 years)
## 765 I do not know
## 766 We have well established ML methods (i.e., models in production for more than 2 years)
## 767 No (we do not use ML methods)
## 768 We have well established ML methods (i.e., models in production for more than 2 years)
## 769 No (we do not use ML methods)
## 770 We recently started using ML methods (i.e., models in production for less than 2 years)
## 771 We use ML methods for generating insights (but do not put working models into production)
## 772 We have well established ML methods (i.e., models in production for more than 2 years)
## 773 We have well established ML methods (i.e., models in production for more than 2 years)
## 774 We have well established ML methods (i.e., models in production for more than 2 years)
## 775 <NA>
## 776 <NA>
## 777 No (we do not use ML methods)
## 778 We have well established ML methods (i.e., models in production for more than 2 years)
## 779 <NA>
## 780 We recently started using ML methods (i.e., models in production for less than 2 years)
## 781 <NA>
## 782 We recently started using ML methods (i.e., models in production for less than 2 years)
## 783 I do not know
## 784 We recently started using ML methods (i.e., models in production for less than 2 years)
## 785 <NA>
## 786 We recently started using ML methods (i.e., models in production for less than 2 years)
## 787 <NA>
## 788 <NA>
## 789 We recently started using ML methods (i.e., models in production for less than 2 years)
## 790 We recently started using ML methods (i.e., models in production for less than 2 years)
## 791 <NA>
## 792 We use ML methods for generating insights (but do not put working models into production)
## 793 We use ML methods for generating insights (but do not put working models into production)
## 794 <NA>
## 795 We are exploring ML methods (and may one day put a model into production)
## 796 We have well established ML methods (i.e., models in production for more than 2 years)
## 797 We have well established ML methods (i.e., models in production for more than 2 years)
## 798 <NA>
## 799 We recently started using ML methods (i.e., models in production for less than 2 years)
## 800 We are exploring ML methods (and may one day put a model into production)
## 801 We are exploring ML methods (and may one day put a model into production)
## 802 We are exploring ML methods (and may one day put a model into production)
## 803 We are exploring ML methods (and may one day put a model into production)
## 804 We recently started using ML methods (i.e., models in production for less than 2 years)
## 805 I do not know
## 806 We are exploring ML methods (and may one day put a model into production)
## 807 We are exploring ML methods (and may one day put a model into production)
## 808 We use ML methods for generating insights (but do not put working models into production)
## 809 I do not know
## 810 We recently started using ML methods (i.e., models in production for less than 2 years)
## 811 We are exploring ML methods (and may one day put a model into production)
## 812 <NA>
## 813 <NA>
## 814 We are exploring ML methods (and may one day put a model into production)
## 815 We use ML methods for generating insights (but do not put working models into production)
## 816 <NA>
## 817 We recently started using ML methods (i.e., models in production for less than 2 years)
## 818 We recently started using ML methods (i.e., models in production for less than 2 years)
## 819 <NA>
## 820 We are exploring ML methods (and may one day put a model into production)
## 821 <NA>
## 822 No (we do not use ML methods)
## 823 We are exploring ML methods (and may one day put a model into production)
## 824 No (we do not use ML methods)
## 825 We have well established ML methods (i.e., models in production for more than 2 years)
## 826 We have well established ML methods (i.e., models in production for more than 2 years)
## 827 No (we do not use ML methods)
## 828 We have well established ML methods (i.e., models in production for more than 2 years)
## 829 We have well established ML methods (i.e., models in production for more than 2 years)
## 830 We have well established ML methods (i.e., models in production for more than 2 years)
## 831 We recently started using ML methods (i.e., models in production for less than 2 years)
## 832 We recently started using ML methods (i.e., models in production for less than 2 years)
## 833 We are exploring ML methods (and may one day put a model into production)
## 834 We recently started using ML methods (i.e., models in production for less than 2 years)
## 835 We are exploring ML methods (and may one day put a model into production)
## 836 <NA>
## 837 <NA>
## 838 We use ML methods for generating insights (but do not put working models into production)
## 839 No (we do not use ML methods)
## 840 We use ML methods for generating insights (but do not put working models into production)
## 841 We are exploring ML methods (and may one day put a model into production)
## 842 <NA>
## 843 I do not know
## 844 We use ML methods for generating insights (but do not put working models into production)
## 845 We have well established ML methods (i.e., models in production for more than 2 years)
## 846 <NA>
## 847 We are exploring ML methods (and may one day put a model into production)
## 848 We have well established ML methods (i.e., models in production for more than 2 years)
## 849 <NA>
## 850 We use ML methods for generating insights (but do not put working models into production)
## 851 We have well established ML methods (i.e., models in production for more than 2 years)
## 852 We recently started using ML methods (i.e., models in production for less than 2 years)
## 853 We use ML methods for generating insights (but do not put working models into production)
## 854 We have well established ML methods (i.e., models in production for more than 2 years)
## 855 We are exploring ML methods (and may one day put a model into production)
## 856 We are exploring ML methods (and may one day put a model into production)
## 857 We have well established ML methods (i.e., models in production for more than 2 years)
## 858 <NA>
## 859 <NA>
## 860 <NA>
## 861 <NA>
## 862 <NA>
## 863 No (we do not use ML methods)
## 864 We are exploring ML methods (and may one day put a model into production)
## 865 We recently started using ML methods (i.e., models in production for less than 2 years)
## 866 We recently started using ML methods (i.e., models in production for less than 2 years)
## 867 No (we do not use ML methods)
## 868 <NA>
## 869 <NA>
## 870 <NA>
## 871 I do not know
## 872 We recently started using ML methods (i.e., models in production for less than 2 years)
## 873 We have well established ML methods (i.e., models in production for more than 2 years)
## 874 <NA>
## 875 We have well established ML methods (i.e., models in production for more than 2 years)
## 876 We are exploring ML methods (and may one day put a model into production)
## 877 We use ML methods for generating insights (but do not put working models into production)
## 878 No (we do not use ML methods)
## 879 No (we do not use ML methods)
## 880 We recently started using ML methods (i.e., models in production for less than 2 years)
## 881 <NA>
## 882 We are exploring ML methods (and may one day put a model into production)
## 883 We recently started using ML methods (i.e., models in production for less than 2 years)
## 884 <NA>
## 885 <NA>
## 886 I do not know
## 887 We are exploring ML methods (and may one day put a model into production)
## 888 <NA>
## 889 <NA>
## 890 We use ML methods for generating insights (but do not put working models into production)
## 891 We have well established ML methods (i.e., models in production for more than 2 years)
## 892 We have well established ML methods (i.e., models in production for more than 2 years)
## 893 No (we do not use ML methods)
## 894 No (we do not use ML methods)
## 895 We are exploring ML methods (and may one day put a model into production)
## 896 <NA>
## 897 <NA>
## 898 I do not know
## 899 We have well established ML methods (i.e., models in production for more than 2 years)
## 900 No (we do not use ML methods)
## 901 <NA>
## 902 <NA>
## 903 We are exploring ML methods (and may one day put a model into production)
## 904 We are exploring ML methods (and may one day put a model into production)
## 905 We use ML methods for generating insights (but do not put working models into production)
## 906 We are exploring ML methods (and may one day put a model into production)
## 907 I do not know
## 908 We are exploring ML methods (and may one day put a model into production)
## 909 <NA>
## 910 We recently started using ML methods (i.e., models in production for less than 2 years)
## 911 We are exploring ML methods (and may one day put a model into production)
## 912 We recently started using ML methods (i.e., models in production for less than 2 years)
## 913 <NA>
## 914 We have well established ML methods (i.e., models in production for more than 2 years)
## 915 We are exploring ML methods (and may one day put a model into production)
## 916 We recently started using ML methods (i.e., models in production for less than 2 years)
## 917 No (we do not use ML methods)
## 918 We recently started using ML methods (i.e., models in production for less than 2 years)
## 919 We recently started using ML methods (i.e., models in production for less than 2 years)
## 920 <NA>
## 921 <NA>
## 922 <NA>
## 923 We have well established ML methods (i.e., models in production for more than 2 years)
## 924 <NA>
## 925 No (we do not use ML methods)
## 926 <NA>
## 927 <NA>
## 928 We are exploring ML methods (and may one day put a model into production)
## 929 We recently started using ML methods (i.e., models in production for less than 2 years)
## 930 We are exploring ML methods (and may one day put a model into production)
## 931 <NA>
## 932 <NA>
## 933 <NA>
## 934 We recently started using ML methods (i.e., models in production for less than 2 years)
## 935 We recently started using ML methods (i.e., models in production for less than 2 years)
## 936 <NA>
## 937 I do not know
## 938 No (we do not use ML methods)
## 939 <NA>
## 940 We use ML methods for generating insights (but do not put working models into production)
## 941 We are exploring ML methods (and may one day put a model into production)
## 942 We are exploring ML methods (and may one day put a model into production)
## 943 We have well established ML methods (i.e., models in production for more than 2 years)
## 944 We recently started using ML methods (i.e., models in production for less than 2 years)
## 945 No (we do not use ML methods)
## 946 We are exploring ML methods (and may one day put a model into production)
## 947 <NA>
## 948 We have well established ML methods (i.e., models in production for more than 2 years)
## 949 We recently started using ML methods (i.e., models in production for less than 2 years)
## 950 We are exploring ML methods (and may one day put a model into production)
## 951 No (we do not use ML methods)
## 952 <NA>
## 953 I do not know
## 954 We use ML methods for generating insights (but do not put working models into production)
## 955 We are exploring ML methods (and may one day put a model into production)
## 956 We have well established ML methods (i.e., models in production for more than 2 years)
## 957 I do not know
## 958 <NA>
## 959 <NA>
## 960 We are exploring ML methods (and may one day put a model into production)
## 961 No (we do not use ML methods)
## 962 No (we do not use ML methods)
## 963 We are exploring ML methods (and may one day put a model into production)
## 964 <NA>
## 965 We recently started using ML methods (i.e., models in production for less than 2 years)
## 966 We use ML methods for generating insights (but do not put working models into production)
## 967 We are exploring ML methods (and may one day put a model into production)
## 968 <NA>
## 969 No (we do not use ML methods)
## 970 No (we do not use ML methods)
## 971 We recently started using ML methods (i.e., models in production for less than 2 years)
## 972 We have well established ML methods (i.e., models in production for more than 2 years)
## 973 We have well established ML methods (i.e., models in production for more than 2 years)
## 974 <NA>
## 975 We are exploring ML methods (and may one day put a model into production)
## 976 We are exploring ML methods (and may one day put a model into production)
## 977 We use ML methods for generating insights (but do not put working models into production)
## 978 We are exploring ML methods (and may one day put a model into production)
## 979 <NA>
## 980 <NA>
## 981 <NA>
## 982 No (we do not use ML methods)
## 983 <NA>
## 984 We use ML methods for generating insights (but do not put working models into production)
## 985 We have well established ML methods (i.e., models in production for more than 2 years)
## 986 <NA>
## 987 We use ML methods for generating insights (but do not put working models into production)
## 988 We have well established ML methods (i.e., models in production for more than 2 years)
## 989 We are exploring ML methods (and may one day put a model into production)
## 990 No (we do not use ML methods)
## 991 We use ML methods for generating insights (but do not put working models into production)
## 992 We have well established ML methods (i.e., models in production for more than 2 years)
## 993 We recently started using ML methods (i.e., models in production for less than 2 years)
## 994 We use ML methods for generating insights (but do not put working models into production)
## 995 We use ML methods for generating insights (but do not put working models into production)
## 996 We recently started using ML methods (i.e., models in production for less than 2 years)
## 997 No (we do not use ML methods)
## 998 <NA>
## 999 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1000 <NA>
## 1001 We use ML methods for generating insights (but do not put working models into production)
## 1002 We have well established ML methods (i.e., models in production for more than 2 years)
## 1003 <NA>
## 1004 No (we do not use ML methods)
## 1005 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1006 We have well established ML methods (i.e., models in production for more than 2 years)
## 1007 We have well established ML methods (i.e., models in production for more than 2 years)
## 1008 We use ML methods for generating insights (but do not put working models into production)
## 1009 We have well established ML methods (i.e., models in production for more than 2 years)
## 1010 <NA>
## 1011 We have well established ML methods (i.e., models in production for more than 2 years)
## 1012 We are exploring ML methods (and may one day put a model into production)
## 1013 <NA>
## 1014 We are exploring ML methods (and may one day put a model into production)
## 1015 We are exploring ML methods (and may one day put a model into production)
## 1016 We have well established ML methods (i.e., models in production for more than 2 years)
## 1017 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1018 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1019 We use ML methods for generating insights (but do not put working models into production)
## 1020 No (we do not use ML methods)
## 1021 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1022 We have well established ML methods (i.e., models in production for more than 2 years)
## 1023 We are exploring ML methods (and may one day put a model into production)
## 1024 We have well established ML methods (i.e., models in production for more than 2 years)
## 1025 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1026 <NA>
## 1027 No (we do not use ML methods)
## 1028 We are exploring ML methods (and may one day put a model into production)
## 1029 We use ML methods for generating insights (but do not put working models into production)
## 1030 We are exploring ML methods (and may one day put a model into production)
## 1031 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1032 <NA>
## 1033 We are exploring ML methods (and may one day put a model into production)
## 1034 No (we do not use ML methods)
## 1035 We have well established ML methods (i.e., models in production for more than 2 years)
## 1036 We are exploring ML methods (and may one day put a model into production)
## 1037 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1038 We are exploring ML methods (and may one day put a model into production)
## 1039 We use ML methods for generating insights (but do not put working models into production)
## 1040 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1041 We have well established ML methods (i.e., models in production for more than 2 years)
## 1042 We have well established ML methods (i.e., models in production for more than 2 years)
## 1043 We are exploring ML methods (and may one day put a model into production)
## 1044 We have well established ML methods (i.e., models in production for more than 2 years)
## 1045 We use ML methods for generating insights (but do not put working models into production)
## 1046 <NA>
## 1047 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1048 No (we do not use ML methods)
## 1049 No (we do not use ML methods)
## 1050 I do not know
## 1051 We have well established ML methods (i.e., models in production for more than 2 years)
## 1052 <NA>
## 1053 We are exploring ML methods (and may one day put a model into production)
## 1054 We have well established ML methods (i.e., models in production for more than 2 years)
## 1055 We use ML methods for generating insights (but do not put working models into production)
## 1056 I do not know
## 1057 We have well established ML methods (i.e., models in production for more than 2 years)
## 1058 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1059 <NA>
## 1060 We use ML methods for generating insights (but do not put working models into production)
## 1061 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1062 We are exploring ML methods (and may one day put a model into production)
## 1063 <NA>
## 1064 No (we do not use ML methods)
## 1065 We are exploring ML methods (and may one day put a model into production)
## 1066 We are exploring ML methods (and may one day put a model into production)
## 1067 <NA>
## 1068 We have well established ML methods (i.e., models in production for more than 2 years)
## 1069 We have well established ML methods (i.e., models in production for more than 2 years)
## 1070 We have well established ML methods (i.e., models in production for more than 2 years)
## 1071 No (we do not use ML methods)
## 1072 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1073 <NA>
## 1074 No (we do not use ML methods)
## 1075 No (we do not use ML methods)
## 1076 <NA>
## 1077 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1078 <NA>
## 1079 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1080 No (we do not use ML methods)
## 1081 We use ML methods for generating insights (but do not put working models into production)
## 1082 <NA>
## 1083 We have well established ML methods (i.e., models in production for more than 2 years)
## 1084 We use ML methods for generating insights (but do not put working models into production)
## 1085 We use ML methods for generating insights (but do not put working models into production)
## 1086 We are exploring ML methods (and may one day put a model into production)
## 1087 No (we do not use ML methods)
## 1088 <NA>
## 1089 We have well established ML methods (i.e., models in production for more than 2 years)
## 1090 No (we do not use ML methods)
## 1091 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1092 <NA>
## 1093 We have well established ML methods (i.e., models in production for more than 2 years)
## 1094 <NA>
## 1095 We are exploring ML methods (and may one day put a model into production)
## 1096 We are exploring ML methods (and may one day put a model into production)
## 1097 No (we do not use ML methods)
## 1098 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1099 <NA>
## 1100 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1101 We use ML methods for generating insights (but do not put working models into production)
## 1102 No (we do not use ML methods)
## 1103 We have well established ML methods (i.e., models in production for more than 2 years)
## 1104 No (we do not use ML methods)
## 1105 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1106 <NA>
## 1107 We use ML methods for generating insights (but do not put working models into production)
## 1108 We use ML methods for generating insights (but do not put working models into production)
## 1109 I do not know
## 1110 <NA>
## 1111 We use ML methods for generating insights (but do not put working models into production)
## 1112 We have well established ML methods (i.e., models in production for more than 2 years)
## 1113 No (we do not use ML methods)
## 1114 <NA>
## 1115 <NA>
## 1116 We are exploring ML methods (and may one day put a model into production)
## 1117 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1118 We are exploring ML methods (and may one day put a model into production)
## 1119 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1120 We have well established ML methods (i.e., models in production for more than 2 years)
## 1121 We have well established ML methods (i.e., models in production for more than 2 years)
## 1122 <NA>
## 1123 We are exploring ML methods (and may one day put a model into production)
## 1124 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1125 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1126 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1127 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1128 We use ML methods for generating insights (but do not put working models into production)
## 1129 No (we do not use ML methods)
## 1130 No (we do not use ML methods)
## 1131 We have well established ML methods (i.e., models in production for more than 2 years)
## 1132 We have well established ML methods (i.e., models in production for more than 2 years)
## 1133 I do not know
## 1134 <NA>
## 1135 We have well established ML methods (i.e., models in production for more than 2 years)
## 1136 No (we do not use ML methods)
## 1137 <NA>
## 1138 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1139 We have well established ML methods (i.e., models in production for more than 2 years)
## 1140 We are exploring ML methods (and may one day put a model into production)
## 1141 No (we do not use ML methods)
## 1142 We are exploring ML methods (and may one day put a model into production)
## 1143 <NA>
## 1144 We have well established ML methods (i.e., models in production for more than 2 years)
## 1145 We are exploring ML methods (and may one day put a model into production)
## 1146 I do not know
## 1147 <NA>
## 1148 <NA>
## 1149 We are exploring ML methods (and may one day put a model into production)
## 1150 I do not know
## 1151 <NA>
## 1152 We have well established ML methods (i.e., models in production for more than 2 years)
## 1153 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1154 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1155 We are exploring ML methods (and may one day put a model into production)
## 1156 No (we do not use ML methods)
## 1157 We use ML methods for generating insights (but do not put working models into production)
## 1158 We have well established ML methods (i.e., models in production for more than 2 years)
## 1159 We use ML methods for generating insights (but do not put working models into production)
## 1160 We have well established ML methods (i.e., models in production for more than 2 years)
## 1161 We use ML methods for generating insights (but do not put working models into production)
## 1162 <NA>
## 1163 We have well established ML methods (i.e., models in production for more than 2 years)
## 1164 We use ML methods for generating insights (but do not put working models into production)
## 1165 <NA>
## 1166 <NA>
## 1167 <NA>
## 1168 <NA>
## 1169 <NA>
## 1170 <NA>
## 1171 We are exploring ML methods (and may one day put a model into production)
## 1172 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1173 We are exploring ML methods (and may one day put a model into production)
## 1174 <NA>
## 1175 We have well established ML methods (i.e., models in production for more than 2 years)
## 1176 <NA>
## 1177 We are exploring ML methods (and may one day put a model into production)
## 1178 We are exploring ML methods (and may one day put a model into production)
## 1179 No (we do not use ML methods)
## 1180 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1181 We are exploring ML methods (and may one day put a model into production)
## 1182 <NA>
## 1183 I do not know
## 1184 <NA>
## 1185 We have well established ML methods (i.e., models in production for more than 2 years)
## 1186 <NA>
## 1187 <NA>
## 1188 <NA>
## 1189 <NA>
## 1190 We have well established ML methods (i.e., models in production for more than 2 years)
## 1191 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1192 We are exploring ML methods (and may one day put a model into production)
## 1193 <NA>
## 1194 We use ML methods for generating insights (but do not put working models into production)
## 1195 We use ML methods for generating insights (but do not put working models into production)
## 1196 <NA>
## 1197 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1198 We are exploring ML methods (and may one day put a model into production)
## 1199 We have well established ML methods (i.e., models in production for more than 2 years)
## 1200 I do not know
## 1201 No (we do not use ML methods)
## 1202 We are exploring ML methods (and may one day put a model into production)
## 1203 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1204 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1205 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1206 We use ML methods for generating insights (but do not put working models into production)
## 1207 <NA>
## 1208 We have well established ML methods (i.e., models in production for more than 2 years)
## 1209 <NA>
## 1210 <NA>
## 1211 <NA>
## 1212 <NA>
## 1213 We have well established ML methods (i.e., models in production for more than 2 years)
## 1214 <NA>
## 1215 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1216 No (we do not use ML methods)
## 1217 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1218 <NA>
## 1219 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1220 We have well established ML methods (i.e., models in production for more than 2 years)
## 1221 We are exploring ML methods (and may one day put a model into production)
## 1222 We are exploring ML methods (and may one day put a model into production)
## 1223 <NA>
## 1224 <NA>
## 1225 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1226 <NA>
## 1227 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1228 <NA>
## 1229 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1230 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1231 We are exploring ML methods (and may one day put a model into production)
## 1232 No (we do not use ML methods)
## 1233 We use ML methods for generating insights (but do not put working models into production)
## 1234 We have well established ML methods (i.e., models in production for more than 2 years)
## 1235 We use ML methods for generating insights (but do not put working models into production)
## 1236 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1237 We have well established ML methods (i.e., models in production for more than 2 years)
## 1238 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1239 <NA>
## 1240 We have well established ML methods (i.e., models in production for more than 2 years)
## 1241 We use ML methods for generating insights (but do not put working models into production)
## 1242 <NA>
## 1243 <NA>
## 1244 We have well established ML methods (i.e., models in production for more than 2 years)
## 1245 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1246 No (we do not use ML methods)
## 1247 We are exploring ML methods (and may one day put a model into production)
## 1248 We have well established ML methods (i.e., models in production for more than 2 years)
## 1249 We have well established ML methods (i.e., models in production for more than 2 years)
## 1250 We have well established ML methods (i.e., models in production for more than 2 years)
## 1251 <NA>
## 1252 <NA>
## 1253 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1254 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1255 We are exploring ML methods (and may one day put a model into production)
## 1256 We have well established ML methods (i.e., models in production for more than 2 years)
## 1257 We are exploring ML methods (and may one day put a model into production)
## 1258 We are exploring ML methods (and may one day put a model into production)
## 1259 No (we do not use ML methods)
## 1260 We are exploring ML methods (and may one day put a model into production)
## 1261 We have well established ML methods (i.e., models in production for more than 2 years)
## 1262 No (we do not use ML methods)
## 1263 We are exploring ML methods (and may one day put a model into production)
## 1264 We have well established ML methods (i.e., models in production for more than 2 years)
## 1265 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1266 We have well established ML methods (i.e., models in production for more than 2 years)
## 1267 We have well established ML methods (i.e., models in production for more than 2 years)
## 1268 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1269 <NA>
## 1270 <NA>
## 1271 We are exploring ML methods (and may one day put a model into production)
## 1272 We use ML methods for generating insights (but do not put working models into production)
## 1273 <NA>
## 1274 We are exploring ML methods (and may one day put a model into production)
## 1275 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1276 No (we do not use ML methods)
## 1277 We have well established ML methods (i.e., models in production for more than 2 years)
## 1278 I do not know
## 1279 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1280 We use ML methods for generating insights (but do not put working models into production)
## 1281 We have well established ML methods (i.e., models in production for more than 2 years)
## 1282 No (we do not use ML methods)
## 1283 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1284 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1285 I do not know
## 1286 We are exploring ML methods (and may one day put a model into production)
## 1287 <NA>
## 1288 <NA>
## 1289 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1290 We are exploring ML methods (and may one day put a model into production)
## 1291 We are exploring ML methods (and may one day put a model into production)
## 1292 <NA>
## 1293 We are exploring ML methods (and may one day put a model into production)
## 1294 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1295 We have well established ML methods (i.e., models in production for more than 2 years)
## 1296 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1297 We have well established ML methods (i.e., models in production for more than 2 years)
## 1298 No (we do not use ML methods)
## 1299 We have well established ML methods (i.e., models in production for more than 2 years)
## 1300 We are exploring ML methods (and may one day put a model into production)
## 1301 We have well established ML methods (i.e., models in production for more than 2 years)
## 1302 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1303 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1304 We have well established ML methods (i.e., models in production for more than 2 years)
## 1305 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1306 We are exploring ML methods (and may one day put a model into production)
## 1307 We are exploring ML methods (and may one day put a model into production)
## 1308 We are exploring ML methods (and may one day put a model into production)
## 1309 We have well established ML methods (i.e., models in production for more than 2 years)
## 1310 <NA>
## 1311 We have well established ML methods (i.e., models in production for more than 2 years)
## 1312 <NA>
## 1313 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1314 We have well established ML methods (i.e., models in production for more than 2 years)
## 1315 <NA>
## 1316 We are exploring ML methods (and may one day put a model into production)
## 1317 <NA>
## 1318 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1319 We use ML methods for generating insights (but do not put working models into production)
## 1320 We are exploring ML methods (and may one day put a model into production)
## 1321 I do not know
## 1322 No (we do not use ML methods)
## 1323 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1324 No (we do not use ML methods)
## 1325 We are exploring ML methods (and may one day put a model into production)
## 1326 We have well established ML methods (i.e., models in production for more than 2 years)
## 1327 No (we do not use ML methods)
## 1328 We use ML methods for generating insights (but do not put working models into production)
## 1329 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1330 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1331 <NA>
## 1332 We are exploring ML methods (and may one day put a model into production)
## 1333 We are exploring ML methods (and may one day put a model into production)
## 1334 We have well established ML methods (i.e., models in production for more than 2 years)
## 1335 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1336 We have well established ML methods (i.e., models in production for more than 2 years)
## 1337 <NA>
## 1338 We have well established ML methods (i.e., models in production for more than 2 years)
## 1339 We use ML methods for generating insights (but do not put working models into production)
## 1340 I do not know
## 1341 We are exploring ML methods (and may one day put a model into production)
## 1342 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1343 I do not know
## 1344 We are exploring ML methods (and may one day put a model into production)
## 1345 We are exploring ML methods (and may one day put a model into production)
## 1346 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1347 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1348 We have well established ML methods (i.e., models in production for more than 2 years)
## 1349 We use ML methods for generating insights (but do not put working models into production)
## 1350 <NA>
## 1351 <NA>
## 1352 We have well established ML methods (i.e., models in production for more than 2 years)
## 1353 We have well established ML methods (i.e., models in production for more than 2 years)
## 1354 We have well established ML methods (i.e., models in production for more than 2 years)
## 1355 We have well established ML methods (i.e., models in production for more than 2 years)
## 1356 We use ML methods for generating insights (but do not put working models into production)
## 1357 We have well established ML methods (i.e., models in production for more than 2 years)
## 1358 We are exploring ML methods (and may one day put a model into production)
## 1359 We have well established ML methods (i.e., models in production for more than 2 years)
## 1360 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1361 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1362 No (we do not use ML methods)
## 1363 We have well established ML methods (i.e., models in production for more than 2 years)
## 1364 <NA>
## 1365 I do not know
## 1366 We use ML methods for generating insights (but do not put working models into production)
## 1367 We are exploring ML methods (and may one day put a model into production)
## 1368 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1369 I do not know
## 1370 <NA>
## 1371 We use ML methods for generating insights (but do not put working models into production)
## 1372 We have well established ML methods (i.e., models in production for more than 2 years)
## 1373 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1374 We are exploring ML methods (and may one day put a model into production)
## 1375 No (we do not use ML methods)
## 1376 We use ML methods for generating insights (but do not put working models into production)
## 1377 We use ML methods for generating insights (but do not put working models into production)
## 1378 We use ML methods for generating insights (but do not put working models into production)
## 1379 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1380 We use ML methods for generating insights (but do not put working models into production)
## 1381 <NA>
## 1382 No (we do not use ML methods)
## 1383 <NA>
## 1384 No (we do not use ML methods)
## 1385 We have well established ML methods (i.e., models in production for more than 2 years)
## 1386 No (we do not use ML methods)
## 1387 I do not know
## 1388 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1389 We use ML methods for generating insights (but do not put working models into production)
## 1390 I do not know
## 1391 <NA>
## 1392 <NA>
## 1393 <NA>
## 1394 No (we do not use ML methods)
## 1395 We are exploring ML methods (and may one day put a model into production)
## 1396 <NA>
## 1397 No (we do not use ML methods)
## 1398 We are exploring ML methods (and may one day put a model into production)
## 1399 <NA>
## 1400 <NA>
## 1401 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1402 <NA>
## 1403 We are exploring ML methods (and may one day put a model into production)
## 1404 We are exploring ML methods (and may one day put a model into production)
## 1405 <NA>
## 1406 No (we do not use ML methods)
## 1407 No (we do not use ML methods)
## 1408 <NA>
## 1409 We are exploring ML methods (and may one day put a model into production)
## 1410 We are exploring ML methods (and may one day put a model into production)
## 1411 We have well established ML methods (i.e., models in production for more than 2 years)
## 1412 <NA>
## 1413 No (we do not use ML methods)
## 1414 We have well established ML methods (i.e., models in production for more than 2 years)
## 1415 No (we do not use ML methods)
## 1416 I do not know
## 1417 No (we do not use ML methods)
## 1418 No (we do not use ML methods)
## 1419 We use ML methods for generating insights (but do not put working models into production)
## 1420 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1421 We have well established ML methods (i.e., models in production for more than 2 years)
## 1422 We have well established ML methods (i.e., models in production for more than 2 years)
## 1423 We have well established ML methods (i.e., models in production for more than 2 years)
## 1424 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1425 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1426 <NA>
## 1427 We have well established ML methods (i.e., models in production for more than 2 years)
## 1428 We are exploring ML methods (and may one day put a model into production)
## 1429 <NA>
## 1430 We have well established ML methods (i.e., models in production for more than 2 years)
## 1431 We are exploring ML methods (and may one day put a model into production)
## 1432 We use ML methods for generating insights (but do not put working models into production)
## 1433 We have well established ML methods (i.e., models in production for more than 2 years)
## 1434 No (we do not use ML methods)
## 1435 <NA>
## 1436 I do not know
## 1437 We are exploring ML methods (and may one day put a model into production)
## 1438 <NA>
## 1439 <NA>
## 1440 We have well established ML methods (i.e., models in production for more than 2 years)
## 1441 <NA>
## 1442 No (we do not use ML methods)
## 1443 We have well established ML methods (i.e., models in production for more than 2 years)
## 1444 We have well established ML methods (i.e., models in production for more than 2 years)
## 1445 <NA>
## 1446 <NA>
## 1447 We use ML methods for generating insights (but do not put working models into production)
## 1448 No (we do not use ML methods)
## 1449 We use ML methods for generating insights (but do not put working models into production)
## 1450 I do not know
## 1451 <NA>
## 1452 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1453 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1454 We have well established ML methods (i.e., models in production for more than 2 years)
## 1455 No (we do not use ML methods)
## 1456 <NA>
## 1457 <NA>
## 1458 We are exploring ML methods (and may one day put a model into production)
## 1459 We are exploring ML methods (and may one day put a model into production)
## 1460 We are exploring ML methods (and may one day put a model into production)
## 1461 We are exploring ML methods (and may one day put a model into production)
## 1462 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1463 <NA>
## 1464 We have well established ML methods (i.e., models in production for more than 2 years)
## 1465 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1466 I do not know
## 1467 <NA>
## 1468 I do not know
## 1469 We use ML methods for generating insights (but do not put working models into production)
## 1470 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1471 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1472 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1473 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1474 We are exploring ML methods (and may one day put a model into production)
## 1475 We are exploring ML methods (and may one day put a model into production)
## 1476 We use ML methods for generating insights (but do not put working models into production)
## 1477 <NA>
## 1478 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1479 We use ML methods for generating insights (but do not put working models into production)
## 1480 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1481 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1482 We use ML methods for generating insights (but do not put working models into production)
## 1483 We have well established ML methods (i.e., models in production for more than 2 years)
## 1484 <NA>
## 1485 I do not know
## 1486 We use ML methods for generating insights (but do not put working models into production)
## 1487 No (we do not use ML methods)
## 1488 <NA>
## 1489 I do not know
## 1490 We are exploring ML methods (and may one day put a model into production)
## 1491 <NA>
## 1492 We use ML methods for generating insights (but do not put working models into production)
## 1493 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1494 No (we do not use ML methods)
## 1495 We use ML methods for generating insights (but do not put working models into production)
## 1496 <NA>
## 1497 <NA>
## 1498 <NA>
## 1499 We use ML methods for generating insights (but do not put working models into production)
## 1500 <NA>
## 1501 <NA>
## 1502 We use ML methods for generating insights (but do not put working models into production)
## 1503 We use ML methods for generating insights (but do not put working models into production)
## 1504 We are exploring ML methods (and may one day put a model into production)
## 1505 <NA>
## 1506 We are exploring ML methods (and may one day put a model into production)
## 1507 We use ML methods for generating insights (but do not put working models into production)
## 1508 We use ML methods for generating insights (but do not put working models into production)
## 1509 We have well established ML methods (i.e., models in production for more than 2 years)
## 1510 I do not know
## 1511 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1512 <NA>
## 1513 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1514 No (we do not use ML methods)
## 1515 We have well established ML methods (i.e., models in production for more than 2 years)
## 1516 I do not know
## 1517 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1518 We are exploring ML methods (and may one day put a model into production)
## 1519 We are exploring ML methods (and may one day put a model into production)
## 1520 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1521 I do not know
## 1522 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1523 I do not know
## 1524 I do not know
## 1525 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1526 No (we do not use ML methods)
## 1527 We have well established ML methods (i.e., models in production for more than 2 years)
## 1528 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1529 <NA>
## 1530 We are exploring ML methods (and may one day put a model into production)
## 1531 We are exploring ML methods (and may one day put a model into production)
## 1532 We are exploring ML methods (and may one day put a model into production)
## 1533 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1534 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1535 We are exploring ML methods (and may one day put a model into production)
## 1536 We use ML methods for generating insights (but do not put working models into production)
## 1537 No (we do not use ML methods)
## 1538 <NA>
## 1539 We are exploring ML methods (and may one day put a model into production)
## 1540 We use ML methods for generating insights (but do not put working models into production)
## 1541 We have well established ML methods (i.e., models in production for more than 2 years)
## 1542 We have well established ML methods (i.e., models in production for more than 2 years)
## 1543 We have well established ML methods (i.e., models in production for more than 2 years)
## 1544 No (we do not use ML methods)
## 1545 We are exploring ML methods (and may one day put a model into production)
## 1546 <NA>
## 1547 We are exploring ML methods (and may one day put a model into production)
## 1548 We use ML methods for generating insights (but do not put working models into production)
## 1549 <NA>
## 1550 No (we do not use ML methods)
## 1551 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1552 <NA>
## 1553 <NA>
## 1554 <NA>
## 1555 We are exploring ML methods (and may one day put a model into production)
## 1556 We have well established ML methods (i.e., models in production for more than 2 years)
## 1557 No (we do not use ML methods)
## 1558 No (we do not use ML methods)
## 1559 We have well established ML methods (i.e., models in production for more than 2 years)
## 1560 We have well established ML methods (i.e., models in production for more than 2 years)
## 1561 We are exploring ML methods (and may one day put a model into production)
## 1562 We use ML methods for generating insights (but do not put working models into production)
## 1563 We are exploring ML methods (and may one day put a model into production)
## 1564 We use ML methods for generating insights (but do not put working models into production)
## 1565 We have well established ML methods (i.e., models in production for more than 2 years)
## 1566 <NA>
## 1567 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1568 <NA>
## 1569 No (we do not use ML methods)
## 1570 We use ML methods for generating insights (but do not put working models into production)
## 1571 We are exploring ML methods (and may one day put a model into production)
## 1572 We are exploring ML methods (and may one day put a model into production)
## 1573 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1574 No (we do not use ML methods)
## 1575 No (we do not use ML methods)
## 1576 No (we do not use ML methods)
## 1577 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1578 <NA>
## 1579 We are exploring ML methods (and may one day put a model into production)
## 1580 <NA>
## 1581 We use ML methods for generating insights (but do not put working models into production)
## 1582 We have well established ML methods (i.e., models in production for more than 2 years)
## 1583 We have well established ML methods (i.e., models in production for more than 2 years)
## 1584 We use ML methods for generating insights (but do not put working models into production)
## 1585 We use ML methods for generating insights (but do not put working models into production)
## 1586 We have well established ML methods (i.e., models in production for more than 2 years)
## 1587 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1588 <NA>
## 1589 We use ML methods for generating insights (but do not put working models into production)
## 1590 We are exploring ML methods (and may one day put a model into production)
## 1591 <NA>
## 1592 No (we do not use ML methods)
## 1593 We have well established ML methods (i.e., models in production for more than 2 years)
## 1594 <NA>
## 1595 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1596 No (we do not use ML methods)
## 1597 We have well established ML methods (i.e., models in production for more than 2 years)
## 1598 <NA>
## 1599 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1600 <NA>
## 1601 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1602 We are exploring ML methods (and may one day put a model into production)
## 1603 No (we do not use ML methods)
## 1604 <NA>
## 1605 <NA>
## 1606 <NA>
## 1607 I do not know
## 1608 We use ML methods for generating insights (but do not put working models into production)
## 1609 We have well established ML methods (i.e., models in production for more than 2 years)
## 1610 <NA>
## 1611 We have well established ML methods (i.e., models in production for more than 2 years)
## 1612 <NA>
## 1613 I do not know
## 1614 We use ML methods for generating insights (but do not put working models into production)
## 1615 We use ML methods for generating insights (but do not put working models into production)
## 1616 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1617 <NA>
## 1618 We use ML methods for generating insights (but do not put working models into production)
## 1619 We have well established ML methods (i.e., models in production for more than 2 years)
## 1620 No (we do not use ML methods)
## 1621 No (we do not use ML methods)
## 1622 We are exploring ML methods (and may one day put a model into production)
## 1623 We have well established ML methods (i.e., models in production for more than 2 years)
## 1624 We are exploring ML methods (and may one day put a model into production)
## 1625 No (we do not use ML methods)
## 1626 We are exploring ML methods (and may one day put a model into production)
## 1627 We have well established ML methods (i.e., models in production for more than 2 years)
## 1628 We have well established ML methods (i.e., models in production for more than 2 years)
## 1629 We have well established ML methods (i.e., models in production for more than 2 years)
## 1630 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1631 We use ML methods for generating insights (but do not put working models into production)
## 1632 I do not know
## 1633 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1634 We have well established ML methods (i.e., models in production for more than 2 years)
## 1635 <NA>
## 1636 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1637 No (we do not use ML methods)
## 1638 No (we do not use ML methods)
## 1639 We use ML methods for generating insights (but do not put working models into production)
## 1640 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1641 <NA>
## 1642 We use ML methods for generating insights (but do not put working models into production)
## 1643 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1644 No (we do not use ML methods)
## 1645 We are exploring ML methods (and may one day put a model into production)
## 1646 We are exploring ML methods (and may one day put a model into production)
## 1647 <NA>
## 1648 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1649 We use ML methods for generating insights (but do not put working models into production)
## 1650 <NA>
## 1651 <NA>
## 1652 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1653 We have well established ML methods (i.e., models in production for more than 2 years)
## 1654 <NA>
## 1655 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1656 No (we do not use ML methods)
## 1657 We are exploring ML methods (and may one day put a model into production)
## 1658 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1659 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1660 No (we do not use ML methods)
## 1661 We have well established ML methods (i.e., models in production for more than 2 years)
## 1662 <NA>
## 1663 No (we do not use ML methods)
## 1664 No (we do not use ML methods)
## 1665 We are exploring ML methods (and may one day put a model into production)
## 1666 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1667 No (we do not use ML methods)
## 1668 We have well established ML methods (i.e., models in production for more than 2 years)
## 1669 We use ML methods for generating insights (but do not put working models into production)
## 1670 We have well established ML methods (i.e., models in production for more than 2 years)
## 1671 We use ML methods for generating insights (but do not put working models into production)
## 1672 <NA>
## 1673 I do not know
## 1674 We are exploring ML methods (and may one day put a model into production)
## 1675 No (we do not use ML methods)
## 1676 <NA>
## 1677 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1678 We use ML methods for generating insights (but do not put working models into production)
## 1679 No (we do not use ML methods)
## 1680 We are exploring ML methods (and may one day put a model into production)
## 1681 We have well established ML methods (i.e., models in production for more than 2 years)
## 1682 We use ML methods for generating insights (but do not put working models into production)
## 1683 We have well established ML methods (i.e., models in production for more than 2 years)
## 1684 <NA>
## 1685 We are exploring ML methods (and may one day put a model into production)
## 1686 <NA>
## 1687 <NA>
## 1688 No (we do not use ML methods)
## 1689 We are exploring ML methods (and may one day put a model into production)
## 1690 We are exploring ML methods (and may one day put a model into production)
## 1691 We have well established ML methods (i.e., models in production for more than 2 years)
## 1692 We have well established ML methods (i.e., models in production for more than 2 years)
## 1693 <NA>
## 1694 <NA>
## 1695 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1696 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1697 We use ML methods for generating insights (but do not put working models into production)
## 1698 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1699 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1700 We are exploring ML methods (and may one day put a model into production)
## 1701 We have well established ML methods (i.e., models in production for more than 2 years)
## 1702 <NA>
## 1703 We are exploring ML methods (and may one day put a model into production)
## 1704 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1705 No (we do not use ML methods)
## 1706 We are exploring ML methods (and may one day put a model into production)
## 1707 We use ML methods for generating insights (but do not put working models into production)
## 1708 We are exploring ML methods (and may one day put a model into production)
## 1709 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1710 <NA>
## 1711 <NA>
## 1712 We are exploring ML methods (and may one day put a model into production)
## 1713 We are exploring ML methods (and may one day put a model into production)
## 1714 We have well established ML methods (i.e., models in production for more than 2 years)
## 1715 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1716 We have well established ML methods (i.e., models in production for more than 2 years)
## 1717 We are exploring ML methods (and may one day put a model into production)
## 1718 We have well established ML methods (i.e., models in production for more than 2 years)
## 1719 <NA>
## 1720 We are exploring ML methods (and may one day put a model into production)
## 1721 I do not know
## 1722 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1723 We have well established ML methods (i.e., models in production for more than 2 years)
## 1724 We are exploring ML methods (and may one day put a model into production)
## 1725 <NA>
## 1726 We are exploring ML methods (and may one day put a model into production)
## 1727 I do not know
## 1728 We are exploring ML methods (and may one day put a model into production)
## 1729 <NA>
## 1730 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1731 I do not know
## 1732 We have well established ML methods (i.e., models in production for more than 2 years)
## 1733 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1734 We are exploring ML methods (and may one day put a model into production)
## 1735 No (we do not use ML methods)
## 1736 I do not know
## 1737 We are exploring ML methods (and may one day put a model into production)
## 1738 I do not know
## 1739 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1740 No (we do not use ML methods)
## 1741 <NA>
## 1742 <NA>
## 1743 <NA>
## 1744 We use ML methods for generating insights (but do not put working models into production)
## 1745 We have well established ML methods (i.e., models in production for more than 2 years)
## 1746 We are exploring ML methods (and may one day put a model into production)
## 1747 <NA>
## 1748 No (we do not use ML methods)
## 1749 We are exploring ML methods (and may one day put a model into production)
## 1750 We have well established ML methods (i.e., models in production for more than 2 years)
## 1751 <NA>
## 1752 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1753 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1754 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1755 <NA>
## 1756 <NA>
## 1757 No (we do not use ML methods)
## 1758 I do not know
## 1759 We use ML methods for generating insights (but do not put working models into production)
## 1760 I do not know
## 1761 We are exploring ML methods (and may one day put a model into production)
## 1762 We use ML methods for generating insights (but do not put working models into production)
## 1763 We are exploring ML methods (and may one day put a model into production)
## 1764 No (we do not use ML methods)
## 1765 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1766 I do not know
## 1767 <NA>
## 1768 We use ML methods for generating insights (but do not put working models into production)
## 1769 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1770 We use ML methods for generating insights (but do not put working models into production)
## 1771 We are exploring ML methods (and may one day put a model into production)
## 1772 <NA>
## 1773 <NA>
## 1774 <NA>
## 1775 We have well established ML methods (i.e., models in production for more than 2 years)
## 1776 We use ML methods for generating insights (but do not put working models into production)
## 1777 We use ML methods for generating insights (but do not put working models into production)
## 1778 We are exploring ML methods (and may one day put a model into production)
## 1779 No (we do not use ML methods)
## 1780 We are exploring ML methods (and may one day put a model into production)
## 1781 <NA>
## 1782 We use ML methods for generating insights (but do not put working models into production)
## 1783 <NA>
## 1784 No (we do not use ML methods)
## 1785 We have well established ML methods (i.e., models in production for more than 2 years)
## 1786 We use ML methods for generating insights (but do not put working models into production)
## 1787 I do not know
## 1788 I do not know
## 1789 We are exploring ML methods (and may one day put a model into production)
## 1790 We have well established ML methods (i.e., models in production for more than 2 years)
## 1791 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1792 We are exploring ML methods (and may one day put a model into production)
## 1793 We use ML methods for generating insights (but do not put working models into production)
## 1794 We have well established ML methods (i.e., models in production for more than 2 years)
## 1795 No (we do not use ML methods)
## 1796 We are exploring ML methods (and may one day put a model into production)
## 1797 I do not know
## 1798 I do not know
## 1799 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1800 <NA>
## 1801 We have well established ML methods (i.e., models in production for more than 2 years)
## 1802 <NA>
## 1803 We have well established ML methods (i.e., models in production for more than 2 years)
## 1804 <NA>
## 1805 We have well established ML methods (i.e., models in production for more than 2 years)
## 1806 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1807 No (we do not use ML methods)
## 1808 <NA>
## 1809 We use ML methods for generating insights (but do not put working models into production)
## 1810 <NA>
## 1811 No (we do not use ML methods)
## 1812 <NA>
## 1813 We are exploring ML methods (and may one day put a model into production)
## 1814 No (we do not use ML methods)
## 1815 <NA>
## 1816 <NA>
## 1817 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1818 No (we do not use ML methods)
## 1819 I do not know
## 1820 We have well established ML methods (i.e., models in production for more than 2 years)
## 1821 <NA>
## 1822 No (we do not use ML methods)
## 1823 We are exploring ML methods (and may one day put a model into production)
## 1824 We are exploring ML methods (and may one day put a model into production)
## 1825 We have well established ML methods (i.e., models in production for more than 2 years)
## 1826 No (we do not use ML methods)
## 1827 We have well established ML methods (i.e., models in production for more than 2 years)
## 1828 <NA>
## 1829 No (we do not use ML methods)
## 1830 We have well established ML methods (i.e., models in production for more than 2 years)
## 1831 We have well established ML methods (i.e., models in production for more than 2 years)
## 1832 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1833 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1834 I do not know
## 1835 <NA>
## 1836 <NA>
## 1837 <NA>
## 1838 No (we do not use ML methods)
## 1839 We are exploring ML methods (and may one day put a model into production)
## 1840 We are exploring ML methods (and may one day put a model into production)
## 1841 <NA>
## 1842 We are exploring ML methods (and may one day put a model into production)
## 1843 We are exploring ML methods (and may one day put a model into production)
## 1844 <NA>
## 1845 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1846 <NA>
## 1847 We use ML methods for generating insights (but do not put working models into production)
## 1848 We have well established ML methods (i.e., models in production for more than 2 years)
## 1849 <NA>
## 1850 We have well established ML methods (i.e., models in production for more than 2 years)
## 1851 No (we do not use ML methods)
## 1852 We use ML methods for generating insights (but do not put working models into production)
## 1853 We are exploring ML methods (and may one day put a model into production)
## 1854 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1855 No (we do not use ML methods)
## 1856 I do not know
## 1857 We have well established ML methods (i.e., models in production for more than 2 years)
## 1858 We have well established ML methods (i.e., models in production for more than 2 years)
## 1859 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1860 We use ML methods for generating insights (but do not put working models into production)
## 1861 We have well established ML methods (i.e., models in production for more than 2 years)
## 1862 <NA>
## 1863 <NA>
## 1864 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1865 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1866 We use ML methods for generating insights (but do not put working models into production)
## 1867 We have well established ML methods (i.e., models in production for more than 2 years)
## 1868 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1869 No (we do not use ML methods)
## 1870 We use ML methods for generating insights (but do not put working models into production)
## 1871 We have well established ML methods (i.e., models in production for more than 2 years)
## 1872 <NA>
## 1873 <NA>
## 1874 <NA>
## 1875 We have well established ML methods (i.e., models in production for more than 2 years)
## 1876 No (we do not use ML methods)
## 1877 No (we do not use ML methods)
## 1878 We have well established ML methods (i.e., models in production for more than 2 years)
## 1879 We have well established ML methods (i.e., models in production for more than 2 years)
## 1880 We have well established ML methods (i.e., models in production for more than 2 years)
## 1881 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1882 We have well established ML methods (i.e., models in production for more than 2 years)
## 1883 No (we do not use ML methods)
## 1884 <NA>
## 1885 We have well established ML methods (i.e., models in production for more than 2 years)
## 1886 We are exploring ML methods (and may one day put a model into production)
## 1887 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1888 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1889 <NA>
## 1890 <NA>
## 1891 We use ML methods for generating insights (but do not put working models into production)
## 1892 We are exploring ML methods (and may one day put a model into production)
## 1893 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1894 We use ML methods for generating insights (but do not put working models into production)
## 1895 <NA>
## 1896 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1897 <NA>
## 1898 We have well established ML methods (i.e., models in production for more than 2 years)
## 1899 We use ML methods for generating insights (but do not put working models into production)
## 1900 <NA>
## 1901 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1902 I do not know
## 1903 We use ML methods for generating insights (but do not put working models into production)
## 1904 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1905 We use ML methods for generating insights (but do not put working models into production)
## 1906 We are exploring ML methods (and may one day put a model into production)
## 1907 We have well established ML methods (i.e., models in production for more than 2 years)
## 1908 We have well established ML methods (i.e., models in production for more than 2 years)
## 1909 We are exploring ML methods (and may one day put a model into production)
## 1910 We have well established ML methods (i.e., models in production for more than 2 years)
## 1911 <NA>
## 1912 No (we do not use ML methods)
## 1913 We are exploring ML methods (and may one day put a model into production)
## 1914 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1915 We are exploring ML methods (and may one day put a model into production)
## 1916 We are exploring ML methods (and may one day put a model into production)
## 1917 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1918 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1919 <NA>
## 1920 I do not know
## 1921 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1922 No (we do not use ML methods)
## 1923 We have well established ML methods (i.e., models in production for more than 2 years)
## 1924 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1925 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1926 <NA>
## 1927 We are exploring ML methods (and may one day put a model into production)
## 1928 <NA>
## 1929 We have well established ML methods (i.e., models in production for more than 2 years)
## 1930 <NA>
## 1931 I do not know
## 1932 <NA>
## 1933 We use ML methods for generating insights (but do not put working models into production)
## 1934 No (we do not use ML methods)
## 1935 We have well established ML methods (i.e., models in production for more than 2 years)
## 1936 We have well established ML methods (i.e., models in production for more than 2 years)
## 1937 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1938 We use ML methods for generating insights (but do not put working models into production)
## 1939 No (we do not use ML methods)
## 1940 We are exploring ML methods (and may one day put a model into production)
## 1941 We use ML methods for generating insights (but do not put working models into production)
## 1942 We are exploring ML methods (and may one day put a model into production)
## 1943 <NA>
## 1944 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1945 <NA>
## 1946 We are exploring ML methods (and may one day put a model into production)
## 1947 We have well established ML methods (i.e., models in production for more than 2 years)
## 1948 We use ML methods for generating insights (but do not put working models into production)
## 1949 We are exploring ML methods (and may one day put a model into production)
## 1950 We are exploring ML methods (and may one day put a model into production)
## 1951 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1952 I do not know
## 1953 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1954 We have well established ML methods (i.e., models in production for more than 2 years)
## 1955 We are exploring ML methods (and may one day put a model into production)
## 1956 We are exploring ML methods (and may one day put a model into production)
## 1957 I do not know
## 1958 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1959 No (we do not use ML methods)
## 1960 <NA>
## 1961 We are exploring ML methods (and may one day put a model into production)
## 1962 We have well established ML methods (i.e., models in production for more than 2 years)
## 1963 We use ML methods for generating insights (but do not put working models into production)
## 1964 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1965 No (we do not use ML methods)
## 1966 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1967 <NA>
## 1968 I do not know
## 1969 <NA>
## 1970 We have well established ML methods (i.e., models in production for more than 2 years)
## 1971 No (we do not use ML methods)
## 1972 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1973 <NA>
## 1974 No (we do not use ML methods)
## 1975 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1976 We have well established ML methods (i.e., models in production for more than 2 years)
## 1977 We are exploring ML methods (and may one day put a model into production)
## 1978 <NA>
## 1979 <NA>
## 1980 <NA>
## 1981 I do not know
## 1982 <NA>
## 1983 <NA>
## 1984 We have well established ML methods (i.e., models in production for more than 2 years)
## 1985 No (we do not use ML methods)
## 1986 No (we do not use ML methods)
## 1987 We are exploring ML methods (and may one day put a model into production)
## 1988 No (we do not use ML methods)
## 1989 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1990 No (we do not use ML methods)
## 1991 <NA>
## 1992 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1993 We use ML methods for generating insights (but do not put working models into production)
## 1994 No (we do not use ML methods)
## 1995 We have well established ML methods (i.e., models in production for more than 2 years)
## 1996 <NA>
## 1997 We recently started using ML methods (i.e., models in production for less than 2 years)
## 1998 We have well established ML methods (i.e., models in production for more than 2 years)
## 1999 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2000 No (we do not use ML methods)
## 2001 We have well established ML methods (i.e., models in production for more than 2 years)
## 2002 We have well established ML methods (i.e., models in production for more than 2 years)
## 2003 We are exploring ML methods (and may one day put a model into production)
## 2004 No (we do not use ML methods)
## 2005 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2006 We have well established ML methods (i.e., models in production for more than 2 years)
## 2007 We have well established ML methods (i.e., models in production for more than 2 years)
## 2008 No (we do not use ML methods)
## 2009 <NA>
## 2010 We are exploring ML methods (and may one day put a model into production)
## 2011 <NA>
## 2012 <NA>
## 2013 We are exploring ML methods (and may one day put a model into production)
## 2014 <NA>
## 2015 We are exploring ML methods (and may one day put a model into production)
## 2016 We are exploring ML methods (and may one day put a model into production)
## 2017 We are exploring ML methods (and may one day put a model into production)
## 2018 We use ML methods for generating insights (but do not put working models into production)
## 2019 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2020 We are exploring ML methods (and may one day put a model into production)
## 2021 We are exploring ML methods (and may one day put a model into production)
## 2022 We are exploring ML methods (and may one day put a model into production)
## 2023 <NA>
## 2024 I do not know
## 2025 We are exploring ML methods (and may one day put a model into production)
## 2026 We are exploring ML methods (and may one day put a model into production)
## 2027 I do not know
## 2028 No (we do not use ML methods)
## 2029 <NA>
## 2030 We use ML methods for generating insights (but do not put working models into production)
## 2031 We use ML methods for generating insights (but do not put working models into production)
## 2032 <NA>
## 2033 We use ML methods for generating insights (but do not put working models into production)
## 2034 <NA>
## 2035 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2036 No (we do not use ML methods)
## 2037 <NA>
## 2038 We have well established ML methods (i.e., models in production for more than 2 years)
## 2039 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2040 We have well established ML methods (i.e., models in production for more than 2 years)
## 2041 I do not know
## 2042 <NA>
## 2043 We are exploring ML methods (and may one day put a model into production)
## 2044 We use ML methods for generating insights (but do not put working models into production)
## 2045 No (we do not use ML methods)
## 2046 No (we do not use ML methods)
## 2047 We have well established ML methods (i.e., models in production for more than 2 years)
## 2048 We are exploring ML methods (and may one day put a model into production)
## 2049 <NA>
## 2050 <NA>
## 2051 We have well established ML methods (i.e., models in production for more than 2 years)
## 2052 <NA>
## 2053 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2054 We have well established ML methods (i.e., models in production for more than 2 years)
## 2055 We have well established ML methods (i.e., models in production for more than 2 years)
## 2056 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2057 We have well established ML methods (i.e., models in production for more than 2 years)
## 2058 I do not know
## 2059 No (we do not use ML methods)
## 2060 <NA>
## 2061 <NA>
## 2062 No (we do not use ML methods)
## 2063 We have well established ML methods (i.e., models in production for more than 2 years)
## 2064 <NA>
## 2065 No (we do not use ML methods)
## 2066 We have well established ML methods (i.e., models in production for more than 2 years)
## 2067 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2068 We are exploring ML methods (and may one day put a model into production)
## 2069 <NA>
## 2070 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2071 We have well established ML methods (i.e., models in production for more than 2 years)
## 2072 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2073 We have well established ML methods (i.e., models in production for more than 2 years)
## 2074 No (we do not use ML methods)
## 2075 We are exploring ML methods (and may one day put a model into production)
## 2076 We have well established ML methods (i.e., models in production for more than 2 years)
## 2077 We are exploring ML methods (and may one day put a model into production)
## 2078 We are exploring ML methods (and may one day put a model into production)
## 2079 No (we do not use ML methods)
## 2080 We use ML methods for generating insights (but do not put working models into production)
## 2081 <NA>
## 2082 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2083 No (we do not use ML methods)
## 2084 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2085 We have well established ML methods (i.e., models in production for more than 2 years)
## 2086 We have well established ML methods (i.e., models in production for more than 2 years)
## 2087 I do not know
## 2088 No (we do not use ML methods)
## 2089 No (we do not use ML methods)
## 2090 We are exploring ML methods (and may one day put a model into production)
## 2091 No (we do not use ML methods)
## 2092 We are exploring ML methods (and may one day put a model into production)
## 2093 <NA>
## 2094 We are exploring ML methods (and may one day put a model into production)
## 2095 <NA>
## 2096 We have well established ML methods (i.e., models in production for more than 2 years)
## 2097 <NA>
## 2098 We have well established ML methods (i.e., models in production for more than 2 years)
## 2099 No (we do not use ML methods)
## 2100 We use ML methods for generating insights (but do not put working models into production)
## 2101 We use ML methods for generating insights (but do not put working models into production)
## 2102 <NA>
## 2103 We have well established ML methods (i.e., models in production for more than 2 years)
## 2104 We use ML methods for generating insights (but do not put working models into production)
## 2105 We use ML methods for generating insights (but do not put working models into production)
## 2106 We use ML methods for generating insights (but do not put working models into production)
## 2107 No (we do not use ML methods)
## 2108 No (we do not use ML methods)
## 2109 We are exploring ML methods (and may one day put a model into production)
## 2110 We are exploring ML methods (and may one day put a model into production)
## 2111 We are exploring ML methods (and may one day put a model into production)
## 2112 <NA>
## 2113 I do not know
## 2114 No (we do not use ML methods)
## 2115 We have well established ML methods (i.e., models in production for more than 2 years)
## 2116 <NA>
## 2117 <NA>
## 2118 <NA>
## 2119 We have well established ML methods (i.e., models in production for more than 2 years)
## 2120 We use ML methods for generating insights (but do not put working models into production)
## 2121 We are exploring ML methods (and may one day put a model into production)
## 2122 <NA>
## 2123 No (we do not use ML methods)
## 2124 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2125 <NA>
## 2126 We use ML methods for generating insights (but do not put working models into production)
## 2127 No (we do not use ML methods)
## 2128 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2129 We have well established ML methods (i.e., models in production for more than 2 years)
## 2130 <NA>
## 2131 <NA>
## 2132 We have well established ML methods (i.e., models in production for more than 2 years)
## 2133 We are exploring ML methods (and may one day put a model into production)
## 2134 <NA>
## 2135 No (we do not use ML methods)
## 2136 We have well established ML methods (i.e., models in production for more than 2 years)
## 2137 We have well established ML methods (i.e., models in production for more than 2 years)
## 2138 We are exploring ML methods (and may one day put a model into production)
## 2139 <NA>
## 2140 No (we do not use ML methods)
## 2141 We have well established ML methods (i.e., models in production for more than 2 years)
## 2142 <NA>
## 2143 We have well established ML methods (i.e., models in production for more than 2 years)
## 2144 We are exploring ML methods (and may one day put a model into production)
## 2145 <NA>
## 2146 We are exploring ML methods (and may one day put a model into production)
## 2147 We have well established ML methods (i.e., models in production for more than 2 years)
## 2148 I do not know
## 2149 We are exploring ML methods (and may one day put a model into production)
## 2150 <NA>
## 2151 We use ML methods for generating insights (but do not put working models into production)
## 2152 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2153 We use ML methods for generating insights (but do not put working models into production)
## 2154 <NA>
## 2155 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2156 <NA>
## 2157 <NA>
## 2158 We have well established ML methods (i.e., models in production for more than 2 years)
## 2159 No (we do not use ML methods)
## 2160 No (we do not use ML methods)
## 2161 No (we do not use ML methods)
## 2162 We have well established ML methods (i.e., models in production for more than 2 years)
## 2163 No (we do not use ML methods)
## 2164 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2165 We use ML methods for generating insights (but do not put working models into production)
## 2166 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2167 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2168 We are exploring ML methods (and may one day put a model into production)
## 2169 We are exploring ML methods (and may one day put a model into production)
## 2170 We have well established ML methods (i.e., models in production for more than 2 years)
## 2171 <NA>
## 2172 We are exploring ML methods (and may one day put a model into production)
## 2173 <NA>
## 2174 <NA>
## 2175 We are exploring ML methods (and may one day put a model into production)
## 2176 <NA>
## 2177 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2178 We are exploring ML methods (and may one day put a model into production)
## 2179 We have well established ML methods (i.e., models in production for more than 2 years)
## 2180 We have well established ML methods (i.e., models in production for more than 2 years)
## 2181 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2182 We are exploring ML methods (and may one day put a model into production)
## 2183 We are exploring ML methods (and may one day put a model into production)
## 2184 <NA>
## 2185 We use ML methods for generating insights (but do not put working models into production)
## 2186 We use ML methods for generating insights (but do not put working models into production)
## 2187 <NA>
## 2188 We have well established ML methods (i.e., models in production for more than 2 years)
## 2189 We have well established ML methods (i.e., models in production for more than 2 years)
## 2190 <NA>
## 2191 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2192 No (we do not use ML methods)
## 2193 <NA>
## 2194 We have well established ML methods (i.e., models in production for more than 2 years)
## 2195 We have well established ML methods (i.e., models in production for more than 2 years)
## 2196 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2197 No (we do not use ML methods)
## 2198 <NA>
## 2199 We are exploring ML methods (and may one day put a model into production)
## 2200 We use ML methods for generating insights (but do not put working models into production)
## 2201 No (we do not use ML methods)
## 2202 We have well established ML methods (i.e., models in production for more than 2 years)
## 2203 We use ML methods for generating insights (but do not put working models into production)
## 2204 We are exploring ML methods (and may one day put a model into production)
## 2205 We have well established ML methods (i.e., models in production for more than 2 years)
## 2206 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2207 We are exploring ML methods (and may one day put a model into production)
## 2208 We have well established ML methods (i.e., models in production for more than 2 years)
## 2209 We have well established ML methods (i.e., models in production for more than 2 years)
## 2210 We have well established ML methods (i.e., models in production for more than 2 years)
## 2211 No (we do not use ML methods)
## 2212 We have well established ML methods (i.e., models in production for more than 2 years)
## 2213 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2214 No (we do not use ML methods)
## 2215 <NA>
## 2216 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2217 We have well established ML methods (i.e., models in production for more than 2 years)
## 2218 We have well established ML methods (i.e., models in production for more than 2 years)
## 2219 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2220 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2221 No (we do not use ML methods)
## 2222 We have well established ML methods (i.e., models in production for more than 2 years)
## 2223 We use ML methods for generating insights (but do not put working models into production)
## 2224 We have well established ML methods (i.e., models in production for more than 2 years)
## 2225 I do not know
## 2226 No (we do not use ML methods)
## 2227 We use ML methods for generating insights (but do not put working models into production)
## 2228 We are exploring ML methods (and may one day put a model into production)
## 2229 We have well established ML methods (i.e., models in production for more than 2 years)
## 2230 We have well established ML methods (i.e., models in production for more than 2 years)
## 2231 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2232 <NA>
## 2233 We use ML methods for generating insights (but do not put working models into production)
## 2234 <NA>
## 2235 <NA>
## 2236 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2237 We use ML methods for generating insights (but do not put working models into production)
## 2238 We have well established ML methods (i.e., models in production for more than 2 years)
## 2239 <NA>
## 2240 <NA>
## 2241 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2242 We use ML methods for generating insights (but do not put working models into production)
## 2243 We have well established ML methods (i.e., models in production for more than 2 years)
## 2244 We use ML methods for generating insights (but do not put working models into production)
## 2245 No (we do not use ML methods)
## 2246 No (we do not use ML methods)
## 2247 No (we do not use ML methods)
## 2248 <NA>
## 2249 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2250 <NA>
## 2251 <NA>
## 2252 No (we do not use ML methods)
## 2253 We use ML methods for generating insights (but do not put working models into production)
## 2254 We use ML methods for generating insights (but do not put working models into production)
## 2255 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2256 No (we do not use ML methods)
## 2257 We are exploring ML methods (and may one day put a model into production)
## 2258 No (we do not use ML methods)
## 2259 We are exploring ML methods (and may one day put a model into production)
## 2260 <NA>
## 2261 We have well established ML methods (i.e., models in production for more than 2 years)
## 2262 We use ML methods for generating insights (but do not put working models into production)
## 2263 I do not know
## 2264 <NA>
## 2265 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2266 <NA>
## 2267 No (we do not use ML methods)
## 2268 <NA>
## 2269 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2270 We have well established ML methods (i.e., models in production for more than 2 years)
## 2271 We have well established ML methods (i.e., models in production for more than 2 years)
## 2272 <NA>
## 2273 <NA>
## 2274 We use ML methods for generating insights (but do not put working models into production)
## 2275 No (we do not use ML methods)
## 2276 No (we do not use ML methods)
## 2277 We have well established ML methods (i.e., models in production for more than 2 years)
## 2278 <NA>
## 2279 We have well established ML methods (i.e., models in production for more than 2 years)
## 2280 No (we do not use ML methods)
## 2281 We have well established ML methods (i.e., models in production for more than 2 years)
## 2282 <NA>
## 2283 No (we do not use ML methods)
## 2284 <NA>
## 2285 No (we do not use ML methods)
## 2286 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2287 We use ML methods for generating insights (but do not put working models into production)
## 2288 We are exploring ML methods (and may one day put a model into production)
## 2289 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2290 No (we do not use ML methods)
## 2291 I do not know
## 2292 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2293 We are exploring ML methods (and may one day put a model into production)
## 2294 No (we do not use ML methods)
## 2295 We use ML methods for generating insights (but do not put working models into production)
## 2296 We are exploring ML methods (and may one day put a model into production)
## 2297 <NA>
## 2298 We use ML methods for generating insights (but do not put working models into production)
## 2299 We have well established ML methods (i.e., models in production for more than 2 years)
## 2300 No (we do not use ML methods)
## 2301 We are exploring ML methods (and may one day put a model into production)
## 2302 We are exploring ML methods (and may one day put a model into production)
## 2303 We have well established ML methods (i.e., models in production for more than 2 years)
## 2304 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2305 No (we do not use ML methods)
## 2306 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2307 We use ML methods for generating insights (but do not put working models into production)
## 2308 We have well established ML methods (i.e., models in production for more than 2 years)
## 2309 I do not know
## 2310 <NA>
## 2311 No (we do not use ML methods)
## 2312 <NA>
## 2313 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2314 We are exploring ML methods (and may one day put a model into production)
## 2315 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2316 We have well established ML methods (i.e., models in production for more than 2 years)
## 2317 We have well established ML methods (i.e., models in production for more than 2 years)
## 2318 We have well established ML methods (i.e., models in production for more than 2 years)
## 2319 <NA>
## 2320 <NA>
## 2321 We use ML methods for generating insights (but do not put working models into production)
## 2322 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2323 We have well established ML methods (i.e., models in production for more than 2 years)
## 2324 <NA>
## 2325 We have well established ML methods (i.e., models in production for more than 2 years)
## 2326 We have well established ML methods (i.e., models in production for more than 2 years)
## 2327 We have well established ML methods (i.e., models in production for more than 2 years)
## 2328 We have well established ML methods (i.e., models in production for more than 2 years)
## 2329 We are exploring ML methods (and may one day put a model into production)
## 2330 <NA>
## 2331 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2332 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2333 No (we do not use ML methods)
## 2334 No (we do not use ML methods)
## 2335 <NA>
## 2336 <NA>
## 2337 No (we do not use ML methods)
## 2338 We are exploring ML methods (and may one day put a model into production)
## 2339 We are exploring ML methods (and may one day put a model into production)
## 2340 No (we do not use ML methods)
## 2341 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2342 We have well established ML methods (i.e., models in production for more than 2 years)
## 2343 We use ML methods for generating insights (but do not put working models into production)
## 2344 <NA>
## 2345 <NA>
## 2346 <NA>
## 2347 <NA>
## 2348 <NA>
## 2349 I do not know
## 2350 <NA>
## 2351 We have well established ML methods (i.e., models in production for more than 2 years)
## 2352 We are exploring ML methods (and may one day put a model into production)
## 2353 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2354 No (we do not use ML methods)
## 2355 No (we do not use ML methods)
## 2356 We have well established ML methods (i.e., models in production for more than 2 years)
## 2357 <NA>
## 2358 We are exploring ML methods (and may one day put a model into production)
## 2359 We have well established ML methods (i.e., models in production for more than 2 years)
## 2360 No (we do not use ML methods)
## 2361 We are exploring ML methods (and may one day put a model into production)
## 2362 We are exploring ML methods (and may one day put a model into production)
## 2363 We have well established ML methods (i.e., models in production for more than 2 years)
## 2364 No (we do not use ML methods)
## 2365 <NA>
## 2366 We use ML methods for generating insights (but do not put working models into production)
## 2367 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2368 <NA>
## 2369 I do not know
## 2370 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2371 We have well established ML methods (i.e., models in production for more than 2 years)
## 2372 <NA>
## 2373 We are exploring ML methods (and may one day put a model into production)
## 2374 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2375 We are exploring ML methods (and may one day put a model into production)
## 2376 No (we do not use ML methods)
## 2377 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2378 No (we do not use ML methods)
## 2379 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2380 <NA>
## 2381 We are exploring ML methods (and may one day put a model into production)
## 2382 We have well established ML methods (i.e., models in production for more than 2 years)
## 2383 We have well established ML methods (i.e., models in production for more than 2 years)
## 2384 We are exploring ML methods (and may one day put a model into production)
## 2385 We use ML methods for generating insights (but do not put working models into production)
## 2386 We have well established ML methods (i.e., models in production for more than 2 years)
## 2387 We are exploring ML methods (and may one day put a model into production)
## 2388 <NA>
## 2389 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2390 <NA>
## 2391 We have well established ML methods (i.e., models in production for more than 2 years)
## 2392 I do not know
## 2393 No (we do not use ML methods)
## 2394 We use ML methods for generating insights (but do not put working models into production)
## 2395 We are exploring ML methods (and may one day put a model into production)
## 2396 We have well established ML methods (i.e., models in production for more than 2 years)
## 2397 <NA>
## 2398 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2399 <NA>
## 2400 <NA>
## 2401 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2402 We use ML methods for generating insights (but do not put working models into production)
## 2403 <NA>
## 2404 We are exploring ML methods (and may one day put a model into production)
## 2405 <NA>
## 2406 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2407 We are exploring ML methods (and may one day put a model into production)
## 2408 I do not know
## 2409 <NA>
## 2410 We are exploring ML methods (and may one day put a model into production)
## 2411 We use ML methods for generating insights (but do not put working models into production)
## 2412 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2413 We use ML methods for generating insights (but do not put working models into production)
## 2414 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2415 We use ML methods for generating insights (but do not put working models into production)
## 2416 I do not know
## 2417 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2418 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2419 <NA>
## 2420 <NA>
## 2421 <NA>
## 2422 <NA>
## 2423 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2424 We have well established ML methods (i.e., models in production for more than 2 years)
## 2425 We have well established ML methods (i.e., models in production for more than 2 years)
## 2426 <NA>
## 2427 We are exploring ML methods (and may one day put a model into production)
## 2428 <NA>
## 2429 We are exploring ML methods (and may one day put a model into production)
## 2430 We have well established ML methods (i.e., models in production for more than 2 years)
## 2431 I do not know
## 2432 <NA>
## 2433 We use ML methods for generating insights (but do not put working models into production)
## 2434 <NA>
## 2435 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2436 We are exploring ML methods (and may one day put a model into production)
## 2437 No (we do not use ML methods)
## 2438 We use ML methods for generating insights (but do not put working models into production)
## 2439 No (we do not use ML methods)
## 2440 We have well established ML methods (i.e., models in production for more than 2 years)
## 2441 <NA>
## 2442 <NA>
## 2443 We have well established ML methods (i.e., models in production for more than 2 years)
## 2444 We have well established ML methods (i.e., models in production for more than 2 years)
## 2445 I do not know
## 2446 No (we do not use ML methods)
## 2447 <NA>
## 2448 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2449 We use ML methods for generating insights (but do not put working models into production)
## 2450 We have well established ML methods (i.e., models in production for more than 2 years)
## 2451 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2452 No (we do not use ML methods)
## 2453 We use ML methods for generating insights (but do not put working models into production)
## 2454 No (we do not use ML methods)
## 2455 We use ML methods for generating insights (but do not put working models into production)
## 2456 We have well established ML methods (i.e., models in production for more than 2 years)
## 2457 <NA>
## 2458 We are exploring ML methods (and may one day put a model into production)
## 2459 We have well established ML methods (i.e., models in production for more than 2 years)
## 2460 We use ML methods for generating insights (but do not put working models into production)
## 2461 We are exploring ML methods (and may one day put a model into production)
## 2462 No (we do not use ML methods)
## 2463 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2464 We are exploring ML methods (and may one day put a model into production)
## 2465 I do not know
## 2466 We have well established ML methods (i.e., models in production for more than 2 years)
## 2467 <NA>
## 2468 We are exploring ML methods (and may one day put a model into production)
## 2469 I do not know
## 2470 <NA>
## 2471 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2472 <NA>
## 2473 We have well established ML methods (i.e., models in production for more than 2 years)
## 2474 We are exploring ML methods (and may one day put a model into production)
## 2475 <NA>
## 2476 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2477 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2478 <NA>
## 2479 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2480 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2481 We are exploring ML methods (and may one day put a model into production)
## 2482 I do not know
## 2483 <NA>
## 2484 <NA>
## 2485 <NA>
## 2486 We are exploring ML methods (and may one day put a model into production)
## 2487 We use ML methods for generating insights (but do not put working models into production)
## 2488 <NA>
## 2489 No (we do not use ML methods)
## 2490 We have well established ML methods (i.e., models in production for more than 2 years)
## 2491 We are exploring ML methods (and may one day put a model into production)
## 2492 No (we do not use ML methods)
## 2493 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2494 We have well established ML methods (i.e., models in production for more than 2 years)
## 2495 I do not know
## 2496 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2497 <NA>
## 2498 We use ML methods for generating insights (but do not put working models into production)
## 2499 We use ML methods for generating insights (but do not put working models into production)
## 2500 <NA>
## 2501 No (we do not use ML methods)
## 2502 We use ML methods for generating insights (but do not put working models into production)
## 2503 <NA>
## 2504 No (we do not use ML methods)
## 2505 We have well established ML methods (i.e., models in production for more than 2 years)
## 2506 <NA>
## 2507 I do not know
## 2508 No (we do not use ML methods)
## 2509 We are exploring ML methods (and may one day put a model into production)
## 2510 No (we do not use ML methods)
## 2511 <NA>
## 2512 We are exploring ML methods (and may one day put a model into production)
## 2513 We are exploring ML methods (and may one day put a model into production)
## 2514 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2515 <NA>
## 2516 <NA>
## 2517 We are exploring ML methods (and may one day put a model into production)
## 2518 I do not know
## 2519 We use ML methods for generating insights (but do not put working models into production)
## 2520 <NA>
## 2521 We use ML methods for generating insights (but do not put working models into production)
## 2522 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2523 We use ML methods for generating insights (but do not put working models into production)
## 2524 No (we do not use ML methods)
## 2525 We are exploring ML methods (and may one day put a model into production)
## 2526 No (we do not use ML methods)
## 2527 I do not know
## 2528 No (we do not use ML methods)
## 2529 We have well established ML methods (i.e., models in production for more than 2 years)
## 2530 We are exploring ML methods (and may one day put a model into production)
## 2531 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2532 We use ML methods for generating insights (but do not put working models into production)
## 2533 I do not know
## 2534 We use ML methods for generating insights (but do not put working models into production)
## 2535 We are exploring ML methods (and may one day put a model into production)
## 2536 We are exploring ML methods (and may one day put a model into production)
## 2537 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2538 <NA>
## 2539 <NA>
## 2540 <NA>
## 2541 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2542 <NA>
## 2543 <NA>
## 2544 No (we do not use ML methods)
## 2545 We use ML methods for generating insights (but do not put working models into production)
## 2546 We have well established ML methods (i.e., models in production for more than 2 years)
## 2547 We are exploring ML methods (and may one day put a model into production)
## 2548 We have well established ML methods (i.e., models in production for more than 2 years)
## 2549 <NA>
## 2550 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2551 We have well established ML methods (i.e., models in production for more than 2 years)
## 2552 We are exploring ML methods (and may one day put a model into production)
## 2553 I do not know
## 2554 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2555 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2556 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2557 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2558 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2559 We use ML methods for generating insights (but do not put working models into production)
## 2560 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2561 We are exploring ML methods (and may one day put a model into production)
## 2562 <NA>
## 2563 We have well established ML methods (i.e., models in production for more than 2 years)
## 2564 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2565 <NA>
## 2566 No (we do not use ML methods)
## 2567 We are exploring ML methods (and may one day put a model into production)
## 2568 We are exploring ML methods (and may one day put a model into production)
## 2569 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2570 We are exploring ML methods (and may one day put a model into production)
## 2571 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2572 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2573 We are exploring ML methods (and may one day put a model into production)
## 2574 No (we do not use ML methods)
## 2575 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2576 No (we do not use ML methods)
## 2577 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2578 We have well established ML methods (i.e., models in production for more than 2 years)
## 2579 No (we do not use ML methods)
## 2580 <NA>
## 2581 We are exploring ML methods (and may one day put a model into production)
## 2582 We have well established ML methods (i.e., models in production for more than 2 years)
## 2583 We use ML methods for generating insights (but do not put working models into production)
## 2584 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2585 No (we do not use ML methods)
## 2586 No (we do not use ML methods)
## 2587 We have well established ML methods (i.e., models in production for more than 2 years)
## 2588 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2589 No (we do not use ML methods)
## 2590 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2591 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2592 We have well established ML methods (i.e., models in production for more than 2 years)
## 2593 <NA>
## 2594 <NA>
## 2595 No (we do not use ML methods)
## 2596 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2597 <NA>
## 2598 <NA>
## 2599 We have well established ML methods (i.e., models in production for more than 2 years)
## 2600 We use ML methods for generating insights (but do not put working models into production)
## 2601 We use ML methods for generating insights (but do not put working models into production)
## 2602 No (we do not use ML methods)
## 2603 <NA>
## 2604 We have well established ML methods (i.e., models in production for more than 2 years)
## 2605 We have well established ML methods (i.e., models in production for more than 2 years)
## 2606 We use ML methods for generating insights (but do not put working models into production)
## 2607 We have well established ML methods (i.e., models in production for more than 2 years)
## 2608 <NA>
## 2609 <NA>
## 2610 <NA>
## 2611 <NA>
## 2612 No (we do not use ML methods)
## 2613 <NA>
## 2614 <NA>
## 2615 No (we do not use ML methods)
## 2616 We use ML methods for generating insights (but do not put working models into production)
## 2617 We have well established ML methods (i.e., models in production for more than 2 years)
## 2618 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2619 No (we do not use ML methods)
## 2620 We are exploring ML methods (and may one day put a model into production)
## 2621 <NA>
## 2622 We are exploring ML methods (and may one day put a model into production)
## 2623 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2624 <NA>
## 2625 We are exploring ML methods (and may one day put a model into production)
## 2626 No (we do not use ML methods)
## 2627 We have well established ML methods (i.e., models in production for more than 2 years)
## 2628 We are exploring ML methods (and may one day put a model into production)
## 2629 <NA>
## 2630 We have well established ML methods (i.e., models in production for more than 2 years)
## 2631 I do not know
## 2632 <NA>
## 2633 We have well established ML methods (i.e., models in production for more than 2 years)
## 2634 <NA>
## 2635 No (we do not use ML methods)
## 2636 No (we do not use ML methods)
## 2637 <NA>
## 2638 <NA>
## 2639 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2640 We have well established ML methods (i.e., models in production for more than 2 years)
## 2641 We have well established ML methods (i.e., models in production for more than 2 years)
## 2642 I do not know
## 2643 We are exploring ML methods (and may one day put a model into production)
## 2644 We are exploring ML methods (and may one day put a model into production)
## 2645 We are exploring ML methods (and may one day put a model into production)
## 2646 I do not know
## 2647 <NA>
## 2648 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2649 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2650 <NA>
## 2651 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2652 We have well established ML methods (i.e., models in production for more than 2 years)
## 2653 We use ML methods for generating insights (but do not put working models into production)
## 2654 We have well established ML methods (i.e., models in production for more than 2 years)
## 2655 We are exploring ML methods (and may one day put a model into production)
## 2656 We are exploring ML methods (and may one day put a model into production)
## 2657 No (we do not use ML methods)
## 2658 <NA>
## 2659 We use ML methods for generating insights (but do not put working models into production)
## 2660 We use ML methods for generating insights (but do not put working models into production)
## 2661 <NA>
## 2662 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2663 <NA>
## 2664 No (we do not use ML methods)
## 2665 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2666 We have well established ML methods (i.e., models in production for more than 2 years)
## 2667 No (we do not use ML methods)
## 2668 I do not know
## 2669 <NA>
## 2670 We use ML methods for generating insights (but do not put working models into production)
## 2671 We are exploring ML methods (and may one day put a model into production)
## 2672 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2673 <NA>
## 2674 We have well established ML methods (i.e., models in production for more than 2 years)
## 2675 <NA>
## 2676 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2677 <NA>
## 2678 <NA>
## 2679 We have well established ML methods (i.e., models in production for more than 2 years)
## 2680 No (we do not use ML methods)
## 2681 <NA>
## 2682 No (we do not use ML methods)
## 2683 <NA>
## 2684 I do not know
## 2685 I do not know
## 2686 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2687 We have well established ML methods (i.e., models in production for more than 2 years)
## 2688 No (we do not use ML methods)
## 2689 We are exploring ML methods (and may one day put a model into production)
## 2690 We use ML methods for generating insights (but do not put working models into production)
## 2691 We are exploring ML methods (and may one day put a model into production)
## 2692 No (we do not use ML methods)
## 2693 <NA>
## 2694 We are exploring ML methods (and may one day put a model into production)
## 2695 We have well established ML methods (i.e., models in production for more than 2 years)
## 2696 We use ML methods for generating insights (but do not put working models into production)
## 2697 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2698 We have well established ML methods (i.e., models in production for more than 2 years)
## 2699 <NA>
## 2700 We use ML methods for generating insights (but do not put working models into production)
## 2701 <NA>
## 2702 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2703 <NA>
## 2704 We use ML methods for generating insights (but do not put working models into production)
## 2705 I do not know
## 2706 We have well established ML methods (i.e., models in production for more than 2 years)
## 2707 No (we do not use ML methods)
## 2708 <NA>
## 2709 We are exploring ML methods (and may one day put a model into production)
## 2710 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2711 We have well established ML methods (i.e., models in production for more than 2 years)
## 2712 No (we do not use ML methods)
## 2713 We have well established ML methods (i.e., models in production for more than 2 years)
## 2714 We use ML methods for generating insights (but do not put working models into production)
## 2715 No (we do not use ML methods)
## 2716 <NA>
## 2717 <NA>
## 2718 We have well established ML methods (i.e., models in production for more than 2 years)
## 2719 We are exploring ML methods (and may one day put a model into production)
## 2720 <NA>
## 2721 We are exploring ML methods (and may one day put a model into production)
## 2722 We have well established ML methods (i.e., models in production for more than 2 years)
## 2723 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2724 No (we do not use ML methods)
## 2725 We are exploring ML methods (and may one day put a model into production)
## 2726 We have well established ML methods (i.e., models in production for more than 2 years)
## 2727 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2728 No (we do not use ML methods)
## 2729 <NA>
## 2730 <NA>
## 2731 I do not know
## 2732 We are exploring ML methods (and may one day put a model into production)
## 2733 We have well established ML methods (i.e., models in production for more than 2 years)
## 2734 <NA>
## 2735 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2736 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2737 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2738 <NA>
## 2739 No (we do not use ML methods)
## 2740 We are exploring ML methods (and may one day put a model into production)
## 2741 We have well established ML methods (i.e., models in production for more than 2 years)
## 2742 We have well established ML methods (i.e., models in production for more than 2 years)
## 2743 <NA>
## 2744 We have well established ML methods (i.e., models in production for more than 2 years)
## 2745 We have well established ML methods (i.e., models in production for more than 2 years)
## 2746 We are exploring ML methods (and may one day put a model into production)
## 2747 We have well established ML methods (i.e., models in production for more than 2 years)
## 2748 <NA>
## 2749 We have well established ML methods (i.e., models in production for more than 2 years)
## 2750 <NA>
## 2751 We are exploring ML methods (and may one day put a model into production)
## 2752 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2753 We have well established ML methods (i.e., models in production for more than 2 years)
## 2754 We use ML methods for generating insights (but do not put working models into production)
## 2755 We have well established ML methods (i.e., models in production for more than 2 years)
## 2756 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2757 We have well established ML methods (i.e., models in production for more than 2 years)
## 2758 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2759 We are exploring ML methods (and may one day put a model into production)
## 2760 I do not know
## 2761 We are exploring ML methods (and may one day put a model into production)
## 2762 We have well established ML methods (i.e., models in production for more than 2 years)
## 2763 <NA>
## 2764 <NA>
## 2765 No (we do not use ML methods)
## 2766 We have well established ML methods (i.e., models in production for more than 2 years)
## 2767 No (we do not use ML methods)
## 2768 We have well established ML methods (i.e., models in production for more than 2 years)
## 2769 No (we do not use ML methods)
## 2770 We have well established ML methods (i.e., models in production for more than 2 years)
## 2771 <NA>
## 2772 We have well established ML methods (i.e., models in production for more than 2 years)
## 2773 We use ML methods for generating insights (but do not put working models into production)
## 2774 <NA>
## 2775 We are exploring ML methods (and may one day put a model into production)
## 2776 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2777 <NA>
## 2778 <NA>
## 2779 <NA>
## 2780 We are exploring ML methods (and may one day put a model into production)
## 2781 No (we do not use ML methods)
## 2782 We use ML methods for generating insights (but do not put working models into production)
## 2783 <NA>
## 2784 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2785 We use ML methods for generating insights (but do not put working models into production)
## 2786 We have well established ML methods (i.e., models in production for more than 2 years)
## 2787 We use ML methods for generating insights (but do not put working models into production)
## 2788 I do not know
## 2789 <NA>
## 2790 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2791 No (we do not use ML methods)
## 2792 We are exploring ML methods (and may one day put a model into production)
## 2793 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2794 <NA>
## 2795 <NA>
## 2796 No (we do not use ML methods)
## 2797 No (we do not use ML methods)
## 2798 We have well established ML methods (i.e., models in production for more than 2 years)
## 2799 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2800 We have well established ML methods (i.e., models in production for more than 2 years)
## 2801 We are exploring ML methods (and may one day put a model into production)
## 2802 We have well established ML methods (i.e., models in production for more than 2 years)
## 2803 We have well established ML methods (i.e., models in production for more than 2 years)
## 2804 We have well established ML methods (i.e., models in production for more than 2 years)
## 2805 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2806 We have well established ML methods (i.e., models in production for more than 2 years)
## 2807 We have well established ML methods (i.e., models in production for more than 2 years)
## 2808 <NA>
## 2809 We use ML methods for generating insights (but do not put working models into production)
## 2810 <NA>
## 2811 We use ML methods for generating insights (but do not put working models into production)
## 2812 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2813 We use ML methods for generating insights (but do not put working models into production)
## 2814 No (we do not use ML methods)
## 2815 <NA>
## 2816 I do not know
## 2817 No (we do not use ML methods)
## 2818 We have well established ML methods (i.e., models in production for more than 2 years)
## 2819 We are exploring ML methods (and may one day put a model into production)
## 2820 We use ML methods for generating insights (but do not put working models into production)
## 2821 I do not know
## 2822 <NA>
## 2823 <NA>
## 2824 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2825 No (we do not use ML methods)
## 2826 No (we do not use ML methods)
## 2827 <NA>
## 2828 <NA>
## 2829 No (we do not use ML methods)
## 2830 We are exploring ML methods (and may one day put a model into production)
## 2831 <NA>
## 2832 We use ML methods for generating insights (but do not put working models into production)
## 2833 We are exploring ML methods (and may one day put a model into production)
## 2834 We have well established ML methods (i.e., models in production for more than 2 years)
## 2835 <NA>
## 2836 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2837 We have well established ML methods (i.e., models in production for more than 2 years)
## 2838 <NA>
## 2839 We are exploring ML methods (and may one day put a model into production)
## 2840 <NA>
## 2841 We are exploring ML methods (and may one day put a model into production)
## 2842 I do not know
## 2843 No (we do not use ML methods)
## 2844 We use ML methods for generating insights (but do not put working models into production)
## 2845 <NA>
## 2846 We use ML methods for generating insights (but do not put working models into production)
## 2847 No (we do not use ML methods)
## 2848 <NA>
## 2849 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2850 We use ML methods for generating insights (but do not put working models into production)
## 2851 We are exploring ML methods (and may one day put a model into production)
## 2852 <NA>
## 2853 We use ML methods for generating insights (but do not put working models into production)
## 2854 No (we do not use ML methods)
## 2855 <NA>
## 2856 We are exploring ML methods (and may one day put a model into production)
## 2857 We use ML methods for generating insights (but do not put working models into production)
## 2858 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2859 <NA>
## 2860 <NA>
## 2861 <NA>
## 2862 No (we do not use ML methods)
## 2863 No (we do not use ML methods)
## 2864 I do not know
## 2865 No (we do not use ML methods)
## 2866 <NA>
## 2867 We are exploring ML methods (and may one day put a model into production)
## 2868 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2869 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2870 <NA>
## 2871 No (we do not use ML methods)
## 2872 We have well established ML methods (i.e., models in production for more than 2 years)
## 2873 <NA>
## 2874 <NA>
## 2875 I do not know
## 2876 We are exploring ML methods (and may one day put a model into production)
## 2877 No (we do not use ML methods)
## 2878 No (we do not use ML methods)
## 2879 We use ML methods for generating insights (but do not put working models into production)
## 2880 We are exploring ML methods (and may one day put a model into production)
## 2881 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2882 We have well established ML methods (i.e., models in production for more than 2 years)
## 2883 <NA>
## 2884 <NA>
## 2885 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2886 No (we do not use ML methods)
## 2887 No (we do not use ML methods)
## 2888 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2889 We are exploring ML methods (and may one day put a model into production)
## 2890 No (we do not use ML methods)
## 2891 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2892 We have well established ML methods (i.e., models in production for more than 2 years)
## 2893 We have well established ML methods (i.e., models in production for more than 2 years)
## 2894 We are exploring ML methods (and may one day put a model into production)
## 2895 We have well established ML methods (i.e., models in production for more than 2 years)
## 2896 <NA>
## 2897 We are exploring ML methods (and may one day put a model into production)
## 2898 We have well established ML methods (i.e., models in production for more than 2 years)
## 2899 <NA>
## 2900 <NA>
## 2901 <NA>
## 2902 <NA>
## 2903 <NA>
## 2904 <NA>
## 2905 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2906 We use ML methods for generating insights (but do not put working models into production)
## 2907 We have well established ML methods (i.e., models in production for more than 2 years)
## 2908 We are exploring ML methods (and may one day put a model into production)
## 2909 We are exploring ML methods (and may one day put a model into production)
## 2910 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2911 <NA>
## 2912 We have well established ML methods (i.e., models in production for more than 2 years)
## 2913 We have well established ML methods (i.e., models in production for more than 2 years)
## 2914 We use ML methods for generating insights (but do not put working models into production)
## 2915 <NA>
## 2916 We are exploring ML methods (and may one day put a model into production)
## 2917 We have well established ML methods (i.e., models in production for more than 2 years)
## 2918 We have well established ML methods (i.e., models in production for more than 2 years)
## 2919 I do not know
## 2920 <NA>
## 2921 We are exploring ML methods (and may one day put a model into production)
## 2922 We use ML methods for generating insights (but do not put working models into production)
## 2923 We are exploring ML methods (and may one day put a model into production)
## 2924 No (we do not use ML methods)
## 2925 I do not know
## 2926 <NA>
## 2927 <NA>
## 2928 <NA>
## 2929 I do not know
## 2930 We have well established ML methods (i.e., models in production for more than 2 years)
## 2931 <NA>
## 2932 We use ML methods for generating insights (but do not put working models into production)
## 2933 <NA>
## 2934 We use ML methods for generating insights (but do not put working models into production)
## 2935 <NA>
## 2936 No (we do not use ML methods)
## 2937 <NA>
## 2938 I do not know
## 2939 I do not know
## 2940 We use ML methods for generating insights (but do not put working models into production)
## 2941 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2942 I do not know
## 2943 <NA>
## 2944 We are exploring ML methods (and may one day put a model into production)
## 2945 I do not know
## 2946 <NA>
## 2947 <NA>
## 2948 We have well established ML methods (i.e., models in production for more than 2 years)
## 2949 <NA>
## 2950 <NA>
## 2951 <NA>
## 2952 No (we do not use ML methods)
## 2953 <NA>
## 2954 <NA>
## 2955 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2956 No (we do not use ML methods)
## 2957 No (we do not use ML methods)
## 2958 We use ML methods for generating insights (but do not put working models into production)
## 2959 We use ML methods for generating insights (but do not put working models into production)
## 2960 We are exploring ML methods (and may one day put a model into production)
## 2961 We have well established ML methods (i.e., models in production for more than 2 years)
## 2962 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2963 We use ML methods for generating insights (but do not put working models into production)
## 2964 No (we do not use ML methods)
## 2965 I do not know
## 2966 I do not know
## 2967 <NA>
## 2968 We have well established ML methods (i.e., models in production for more than 2 years)
## 2969 <NA>
## 2970 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2971 <NA>
## 2972 <NA>
## 2973 <NA>
## 2974 We are exploring ML methods (and may one day put a model into production)
## 2975 <NA>
## 2976 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2977 We are exploring ML methods (and may one day put a model into production)
## 2978 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2979 We have well established ML methods (i.e., models in production for more than 2 years)
## 2980 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2981 We recently started using ML methods (i.e., models in production for less than 2 years)
## 2982 We are exploring ML methods (and may one day put a model into production)
## 2983 We are exploring ML methods (and may one day put a model into production)
## 2984 We are exploring ML methods (and may one day put a model into production)
## 2985 We have well established ML methods (i.e., models in production for more than 2 years)
## 2986 I do not know
## 2987 I do not know
## 2988 <NA>
## 2989 <NA>
## 2990 We are exploring ML methods (and may one day put a model into production)
## 2991 We are exploring ML methods (and may one day put a model into production)
## 2992 <NA>
## 2993 <NA>
## 2994 No (we do not use ML methods)
## 2995 <NA>
## 2996 <NA>
## 2997 We use ML methods for generating insights (but do not put working models into production)
## 2998 No (we do not use ML methods)
## 2999 We are exploring ML methods (and may one day put a model into production)
## 3000 We have well established ML methods (i.e., models in production for more than 2 years)
## 3001 We are exploring ML methods (and may one day put a model into production)
## 3002 We have well established ML methods (i.e., models in production for more than 2 years)
## 3003 We use ML methods for generating insights (but do not put working models into production)
## 3004 We are exploring ML methods (and may one day put a model into production)
## 3005 <NA>
## 3006 No (we do not use ML methods)
## 3007 We are exploring ML methods (and may one day put a model into production)
## 3008 We have well established ML methods (i.e., models in production for more than 2 years)
## 3009 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3010 We use ML methods for generating insights (but do not put working models into production)
## 3011 No (we do not use ML methods)
## 3012 <NA>
## 3013 We have well established ML methods (i.e., models in production for more than 2 years)
## 3014 We have well established ML methods (i.e., models in production for more than 2 years)
## 3015 I do not know
## 3016 <NA>
## 3017 We are exploring ML methods (and may one day put a model into production)
## 3018 <NA>
## 3019 We are exploring ML methods (and may one day put a model into production)
## 3020 <NA>
## 3021 <NA>
## 3022 <NA>
## 3023 We have well established ML methods (i.e., models in production for more than 2 years)
## 3024 No (we do not use ML methods)
## 3025 We have well established ML methods (i.e., models in production for more than 2 years)
## 3026 We have well established ML methods (i.e., models in production for more than 2 years)
## 3027 No (we do not use ML methods)
## 3028 We use ML methods for generating insights (but do not put working models into production)
## 3029 No (we do not use ML methods)
## 3030 We are exploring ML methods (and may one day put a model into production)
## 3031 We use ML methods for generating insights (but do not put working models into production)
## 3032 We are exploring ML methods (and may one day put a model into production)
## 3033 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3034 No (we do not use ML methods)
## 3035 No (we do not use ML methods)
## 3036 We are exploring ML methods (and may one day put a model into production)
## 3037 <NA>
## 3038 <NA>
## 3039 We have well established ML methods (i.e., models in production for more than 2 years)
## 3040 <NA>
## 3041 We have well established ML methods (i.e., models in production for more than 2 years)
## 3042 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3043 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3044 No (we do not use ML methods)
## 3045 I do not know
## 3046 We are exploring ML methods (and may one day put a model into production)
## 3047 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3048 We have well established ML methods (i.e., models in production for more than 2 years)
## 3049 We have well established ML methods (i.e., models in production for more than 2 years)
## 3050 We have well established ML methods (i.e., models in production for more than 2 years)
## 3051 We are exploring ML methods (and may one day put a model into production)
## 3052 We are exploring ML methods (and may one day put a model into production)
## 3053 No (we do not use ML methods)
## 3054 <NA>
## 3055 <NA>
## 3056 <NA>
## 3057 <NA>
## 3058 We have well established ML methods (i.e., models in production for more than 2 years)
## 3059 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3060 <NA>
## 3061 <NA>
## 3062 <NA>
## 3063 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3064 <NA>
## 3065 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3066 We have well established ML methods (i.e., models in production for more than 2 years)
## 3067 <NA>
## 3068 <NA>
## 3069 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3070 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3071 We have well established ML methods (i.e., models in production for more than 2 years)
## 3072 <NA>
## 3073 We use ML methods for generating insights (but do not put working models into production)
## 3074 I do not know
## 3075 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3076 We use ML methods for generating insights (but do not put working models into production)
## 3077 <NA>
## 3078 No (we do not use ML methods)
## 3079 <NA>
## 3080 No (we do not use ML methods)
## 3081 No (we do not use ML methods)
## 3082 I do not know
## 3083 <NA>
## 3084 <NA>
## 3085 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3086 We have well established ML methods (i.e., models in production for more than 2 years)
## 3087 We have well established ML methods (i.e., models in production for more than 2 years)
## 3088 <NA>
## 3089 We are exploring ML methods (and may one day put a model into production)
## 3090 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3091 No (we do not use ML methods)
## 3092 No (we do not use ML methods)
## 3093 We are exploring ML methods (and may one day put a model into production)
## 3094 No (we do not use ML methods)
## 3095 <NA>
## 3096 <NA>
## 3097 We have well established ML methods (i.e., models in production for more than 2 years)
## 3098 We have well established ML methods (i.e., models in production for more than 2 years)
## 3099 <NA>
## 3100 <NA>
## 3101 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3102 We are exploring ML methods (and may one day put a model into production)
## 3103 No (we do not use ML methods)
## 3104 <NA>
## 3105 <NA>
## 3106 We are exploring ML methods (and may one day put a model into production)
## 3107 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3108 We have well established ML methods (i.e., models in production for more than 2 years)
## 3109 I do not know
## 3110 <NA>
## 3111 <NA>
## 3112 I do not know
## 3113 We are exploring ML methods (and may one day put a model into production)
## 3114 No (we do not use ML methods)
## 3115 <NA>
## 3116 <NA>
## 3117 <NA>
## 3118 <NA>
## 3119 I do not know
## 3120 We are exploring ML methods (and may one day put a model into production)
## 3121 No (we do not use ML methods)
## 3122 We have well established ML methods (i.e., models in production for more than 2 years)
## 3123 We have well established ML methods (i.e., models in production for more than 2 years)
## 3124 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3125 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3126 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3127 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3128 We use ML methods for generating insights (but do not put working models into production)
## 3129 We are exploring ML methods (and may one day put a model into production)
## 3130 We use ML methods for generating insights (but do not put working models into production)
## 3131 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3132 No (we do not use ML methods)
## 3133 We have well established ML methods (i.e., models in production for more than 2 years)
## 3134 We have well established ML methods (i.e., models in production for more than 2 years)
## 3135 <NA>
## 3136 We have well established ML methods (i.e., models in production for more than 2 years)
## 3137 No (we do not use ML methods)
## 3138 No (we do not use ML methods)
## 3139 We are exploring ML methods (and may one day put a model into production)
## 3140 <NA>
## 3141 <NA>
## 3142 We are exploring ML methods (and may one day put a model into production)
## 3143 We have well established ML methods (i.e., models in production for more than 2 years)
## 3144 No (we do not use ML methods)
## 3145 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3146 We use ML methods for generating insights (but do not put working models into production)
## 3147 I do not know
## 3148 We have well established ML methods (i.e., models in production for more than 2 years)
## 3149 No (we do not use ML methods)
## 3150 We use ML methods for generating insights (but do not put working models into production)
## 3151 We are exploring ML methods (and may one day put a model into production)
## 3152 No (we do not use ML methods)
## 3153 We have well established ML methods (i.e., models in production for more than 2 years)
## 3154 <NA>
## 3155 We are exploring ML methods (and may one day put a model into production)
## 3156 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3157 We are exploring ML methods (and may one day put a model into production)
## 3158 No (we do not use ML methods)
## 3159 <NA>
## 3160 I do not know
## 3161 <NA>
## 3162 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3163 <NA>
## 3164 We are exploring ML methods (and may one day put a model into production)
## 3165 We are exploring ML methods (and may one day put a model into production)
## 3166 We have well established ML methods (i.e., models in production for more than 2 years)
## 3167 No (we do not use ML methods)
## 3168 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3169 No (we do not use ML methods)
## 3170 We are exploring ML methods (and may one day put a model into production)
## 3171 We use ML methods for generating insights (but do not put working models into production)
## 3172 <NA>
## 3173 <NA>
## 3174 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3175 We are exploring ML methods (and may one day put a model into production)
## 3176 <NA>
## 3177 We are exploring ML methods (and may one day put a model into production)
## 3178 We use ML methods for generating insights (but do not put working models into production)
## 3179 We are exploring ML methods (and may one day put a model into production)
## 3180 We are exploring ML methods (and may one day put a model into production)
## 3181 We are exploring ML methods (and may one day put a model into production)
## 3182 We have well established ML methods (i.e., models in production for more than 2 years)
## 3183 <NA>
## 3184 We are exploring ML methods (and may one day put a model into production)
## 3185 We are exploring ML methods (and may one day put a model into production)
## 3186 We use ML methods for generating insights (but do not put working models into production)
## 3187 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3188 No (we do not use ML methods)
## 3189 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3190 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3191 We have well established ML methods (i.e., models in production for more than 2 years)
## 3192 We use ML methods for generating insights (but do not put working models into production)
## 3193 We are exploring ML methods (and may one day put a model into production)
## 3194 We are exploring ML methods (and may one day put a model into production)
## 3195 We are exploring ML methods (and may one day put a model into production)
## 3196 <NA>
## 3197 We use ML methods for generating insights (but do not put working models into production)
## 3198 We have well established ML methods (i.e., models in production for more than 2 years)
## 3199 <NA>
## 3200 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3201 We have well established ML methods (i.e., models in production for more than 2 years)
## 3202 No (we do not use ML methods)
## 3203 We use ML methods for generating insights (but do not put working models into production)
## 3204 We use ML methods for generating insights (but do not put working models into production)
## 3205 We have well established ML methods (i.e., models in production for more than 2 years)
## 3206 We are exploring ML methods (and may one day put a model into production)
## 3207 <NA>
## 3208 <NA>
## 3209 <NA>
## 3210 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3211 No (we do not use ML methods)
## 3212 <NA>
## 3213 <NA>
## 3214 We are exploring ML methods (and may one day put a model into production)
## 3215 I do not know
## 3216 We have well established ML methods (i.e., models in production for more than 2 years)
## 3217 We are exploring ML methods (and may one day put a model into production)
## 3218 We have well established ML methods (i.e., models in production for more than 2 years)
## 3219 We use ML methods for generating insights (but do not put working models into production)
## 3220 We use ML methods for generating insights (but do not put working models into production)
## 3221 We use ML methods for generating insights (but do not put working models into production)
## 3222 We use ML methods for generating insights (but do not put working models into production)
## 3223 We have well established ML methods (i.e., models in production for more than 2 years)
## 3224 We use ML methods for generating insights (but do not put working models into production)
## 3225 We are exploring ML methods (and may one day put a model into production)
## 3226 No (we do not use ML methods)
## 3227 No (we do not use ML methods)
## 3228 <NA>
## 3229 <NA>
## 3230 <NA>
## 3231 <NA>
## 3232 <NA>
## 3233 <NA>
## 3234 <NA>
## 3235 I do not know
## 3236 <NA>
## 3237 No (we do not use ML methods)
## 3238 We have well established ML methods (i.e., models in production for more than 2 years)
## 3239 <NA>
## 3240 I do not know
## 3241 <NA>
## 3242 <NA>
## 3243 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3244 We have well established ML methods (i.e., models in production for more than 2 years)
## 3245 We have well established ML methods (i.e., models in production for more than 2 years)
## 3246 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3247 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3248 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3249 We have well established ML methods (i.e., models in production for more than 2 years)
## 3250 We have well established ML methods (i.e., models in production for more than 2 years)
## 3251 No (we do not use ML methods)
## 3252 No (we do not use ML methods)
## 3253 <NA>
## 3254 We have well established ML methods (i.e., models in production for more than 2 years)
## 3255 No (we do not use ML methods)
## 3256 We have well established ML methods (i.e., models in production for more than 2 years)
## 3257 No (we do not use ML methods)
## 3258 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3259 <NA>
## 3260 I do not know
## 3261 We are exploring ML methods (and may one day put a model into production)
## 3262 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3263 We have well established ML methods (i.e., models in production for more than 2 years)
## 3264 <NA>
## 3265 <NA>
## 3266 We use ML methods for generating insights (but do not put working models into production)
## 3267 No (we do not use ML methods)
## 3268 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3269 We have well established ML methods (i.e., models in production for more than 2 years)
## 3270 We are exploring ML methods (and may one day put a model into production)
## 3271 No (we do not use ML methods)
## 3272 <NA>
## 3273 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3274 No (we do not use ML methods)
## 3275 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3276 We have well established ML methods (i.e., models in production for more than 2 years)
## 3277 We are exploring ML methods (and may one day put a model into production)
## 3278 No (we do not use ML methods)
## 3279 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3280 We are exploring ML methods (and may one day put a model into production)
## 3281 <NA>
## 3282 No (we do not use ML methods)
## 3283 <NA>
## 3284 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3285 <NA>
## 3286 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3287 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3288 I do not know
## 3289 No (we do not use ML methods)
## 3290 <NA>
## 3291 <NA>
## 3292 I do not know
## 3293 We use ML methods for generating insights (but do not put working models into production)
## 3294 We use ML methods for generating insights (but do not put working models into production)
## 3295 We are exploring ML methods (and may one day put a model into production)
## 3296 We have well established ML methods (i.e., models in production for more than 2 years)
## 3297 <NA>
## 3298 We have well established ML methods (i.e., models in production for more than 2 years)
## 3299 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3300 We are exploring ML methods (and may one day put a model into production)
## 3301 We are exploring ML methods (and may one day put a model into production)
## 3302 We have well established ML methods (i.e., models in production for more than 2 years)
## 3303 We have well established ML methods (i.e., models in production for more than 2 years)
## 3304 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3305 <NA>
## 3306 <NA>
## 3307 No (we do not use ML methods)
## 3308 We have well established ML methods (i.e., models in production for more than 2 years)
## 3309 No (we do not use ML methods)
## 3310 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3311 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3312 No (we do not use ML methods)
## 3313 We have well established ML methods (i.e., models in production for more than 2 years)
## 3314 We are exploring ML methods (and may one day put a model into production)
## 3315 I do not know
## 3316 We use ML methods for generating insights (but do not put working models into production)
## 3317 <NA>
## 3318 We are exploring ML methods (and may one day put a model into production)
## 3319 We use ML methods for generating insights (but do not put working models into production)
## 3320 We are exploring ML methods (and may one day put a model into production)
## 3321 No (we do not use ML methods)
## 3322 <NA>
## 3323 We have well established ML methods (i.e., models in production for more than 2 years)
## 3324 <NA>
## 3325 <NA>
## 3326 We have well established ML methods (i.e., models in production for more than 2 years)
## 3327 We are exploring ML methods (and may one day put a model into production)
## 3328 We have well established ML methods (i.e., models in production for more than 2 years)
## 3329 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3330 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3331 <NA>
## 3332 <NA>
## 3333 We are exploring ML methods (and may one day put a model into production)
## 3334 <NA>
## 3335 <NA>
## 3336 We are exploring ML methods (and may one day put a model into production)
## 3337 <NA>
## 3338 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3339 No (we do not use ML methods)
## 3340 We have well established ML methods (i.e., models in production for more than 2 years)
## 3341 No (we do not use ML methods)
## 3342 <NA>
## 3343 We have well established ML methods (i.e., models in production for more than 2 years)
## 3344 We are exploring ML methods (and may one day put a model into production)
## 3345 <NA>
## 3346 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3347 <NA>
## 3348 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3349 We use ML methods for generating insights (but do not put working models into production)
## 3350 <NA>
## 3351 We have well established ML methods (i.e., models in production for more than 2 years)
## 3352 <NA>
## 3353 We have well established ML methods (i.e., models in production for more than 2 years)
## 3354 We have well established ML methods (i.e., models in production for more than 2 years)
## 3355 No (we do not use ML methods)
## 3356 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3357 We have well established ML methods (i.e., models in production for more than 2 years)
## 3358 I do not know
## 3359 I do not know
## 3360 No (we do not use ML methods)
## 3361 No (we do not use ML methods)
## 3362 <NA>
## 3363 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3364 We are exploring ML methods (and may one day put a model into production)
## 3365 <NA>
## 3366 We have well established ML methods (i.e., models in production for more than 2 years)
## 3367 We use ML methods for generating insights (but do not put working models into production)
## 3368 I do not know
## 3369 <NA>
## 3370 We have well established ML methods (i.e., models in production for more than 2 years)
## 3371 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3372 We are exploring ML methods (and may one day put a model into production)
## 3373 No (we do not use ML methods)
## 3374 I do not know
## 3375 We are exploring ML methods (and may one day put a model into production)
## 3376 We are exploring ML methods (and may one day put a model into production)
## 3377 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3378 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3379 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3380 <NA>
## 3381 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3382 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3383 I do not know
## 3384 <NA>
## 3385 We have well established ML methods (i.e., models in production for more than 2 years)
## 3386 No (we do not use ML methods)
## 3387 We are exploring ML methods (and may one day put a model into production)
## 3388 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3389 We have well established ML methods (i.e., models in production for more than 2 years)
## 3390 <NA>
## 3391 <NA>
## 3392 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3393 We have well established ML methods (i.e., models in production for more than 2 years)
## 3394 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3395 <NA>
## 3396 We are exploring ML methods (and may one day put a model into production)
## 3397 No (we do not use ML methods)
## 3398 <NA>
## 3399 We are exploring ML methods (and may one day put a model into production)
## 3400 No (we do not use ML methods)
## 3401 <NA>
## 3402 We are exploring ML methods (and may one day put a model into production)
## 3403 We are exploring ML methods (and may one day put a model into production)
## 3404 No (we do not use ML methods)
## 3405 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3406 I do not know
## 3407 We have well established ML methods (i.e., models in production for more than 2 years)
## 3408 We are exploring ML methods (and may one day put a model into production)
## 3409 We are exploring ML methods (and may one day put a model into production)
## 3410 We are exploring ML methods (and may one day put a model into production)
## 3411 We have well established ML methods (i.e., models in production for more than 2 years)
## 3412 We have well established ML methods (i.e., models in production for more than 2 years)
## 3413 <NA>
## 3414 <NA>
## 3415 <NA>
## 3416 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3417 We have well established ML methods (i.e., models in production for more than 2 years)
## 3418 We have well established ML methods (i.e., models in production for more than 2 years)
## 3419 We have well established ML methods (i.e., models in production for more than 2 years)
## 3420 <NA>
## 3421 We are exploring ML methods (and may one day put a model into production)
## 3422 We are exploring ML methods (and may one day put a model into production)
## 3423 <NA>
## 3424 We are exploring ML methods (and may one day put a model into production)
## 3425 No (we do not use ML methods)
## 3426 No (we do not use ML methods)
## 3427 We are exploring ML methods (and may one day put a model into production)
## 3428 No (we do not use ML methods)
## 3429 We are exploring ML methods (and may one day put a model into production)
## 3430 We use ML methods for generating insights (but do not put working models into production)
## 3431 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3432 We are exploring ML methods (and may one day put a model into production)
## 3433 No (we do not use ML methods)
## 3434 <NA>
## 3435 We have well established ML methods (i.e., models in production for more than 2 years)
## 3436 <NA>
## 3437 We use ML methods for generating insights (but do not put working models into production)
## 3438 We are exploring ML methods (and may one day put a model into production)
## 3439 We are exploring ML methods (and may one day put a model into production)
## 3440 We have well established ML methods (i.e., models in production for more than 2 years)
## 3441 We have well established ML methods (i.e., models in production for more than 2 years)
## 3442 We are exploring ML methods (and may one day put a model into production)
## 3443 We are exploring ML methods (and may one day put a model into production)
## 3444 <NA>
## 3445 I do not know
## 3446 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3447 I do not know
## 3448 We have well established ML methods (i.e., models in production for more than 2 years)
## 3449 <NA>
## 3450 <NA>
## 3451 I do not know
## 3452 We have well established ML methods (i.e., models in production for more than 2 years)
## 3453 <NA>
## 3454 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3455 <NA>
## 3456 We are exploring ML methods (and may one day put a model into production)
## 3457 No (we do not use ML methods)
## 3458 We use ML methods for generating insights (but do not put working models into production)
## 3459 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3460 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3461 We have well established ML methods (i.e., models in production for more than 2 years)
## 3462 <NA>
## 3463 We are exploring ML methods (and may one day put a model into production)
## 3464 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3465 We have well established ML methods (i.e., models in production for more than 2 years)
## 3466 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3467 We have well established ML methods (i.e., models in production for more than 2 years)
## 3468 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3469 No (we do not use ML methods)
## 3470 <NA>
## 3471 We have well established ML methods (i.e., models in production for more than 2 years)
## 3472 <NA>
## 3473 We have well established ML methods (i.e., models in production for more than 2 years)
## 3474 No (we do not use ML methods)
## 3475 We have well established ML methods (i.e., models in production for more than 2 years)
## 3476 No (we do not use ML methods)
## 3477 We have well established ML methods (i.e., models in production for more than 2 years)
## 3478 <NA>
## 3479 I do not know
## 3480 We use ML methods for generating insights (but do not put working models into production)
## 3481 We use ML methods for generating insights (but do not put working models into production)
## 3482 <NA>
## 3483 <NA>
## 3484 I do not know
## 3485 <NA>
## 3486 We are exploring ML methods (and may one day put a model into production)
## 3487 We have well established ML methods (i.e., models in production for more than 2 years)
## 3488 No (we do not use ML methods)
## 3489 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3490 We are exploring ML methods (and may one day put a model into production)
## 3491 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3492 We have well established ML methods (i.e., models in production for more than 2 years)
## 3493 No (we do not use ML methods)
## 3494 We are exploring ML methods (and may one day put a model into production)
## 3495 No (we do not use ML methods)
## 3496 <NA>
## 3497 We are exploring ML methods (and may one day put a model into production)
## 3498 <NA>
## 3499 We have well established ML methods (i.e., models in production for more than 2 years)
## 3500 We use ML methods for generating insights (but do not put working models into production)
## 3501 No (we do not use ML methods)
## 3502 We use ML methods for generating insights (but do not put working models into production)
## 3503 <NA>
## 3504 <NA>
## 3505 We have well established ML methods (i.e., models in production for more than 2 years)
## 3506 No (we do not use ML methods)
## 3507 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3508 <NA>
## 3509 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3510 No (we do not use ML methods)
## 3511 We have well established ML methods (i.e., models in production for more than 2 years)
## 3512 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3513 No (we do not use ML methods)
## 3514 We use ML methods for generating insights (but do not put working models into production)
## 3515 We have well established ML methods (i.e., models in production for more than 2 years)
## 3516 We use ML methods for generating insights (but do not put working models into production)
## 3517 We use ML methods for generating insights (but do not put working models into production)
## 3518 We use ML methods for generating insights (but do not put working models into production)
## 3519 We have well established ML methods (i.e., models in production for more than 2 years)
## 3520 <NA>
## 3521 We have well established ML methods (i.e., models in production for more than 2 years)
## 3522 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3523 No (we do not use ML methods)
## 3524 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3525 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3526 No (we do not use ML methods)
## 3527 No (we do not use ML methods)
## 3528 We are exploring ML methods (and may one day put a model into production)
## 3529 We use ML methods for generating insights (but do not put working models into production)
## 3530 We are exploring ML methods (and may one day put a model into production)
## 3531 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3532 <NA>
## 3533 We have well established ML methods (i.e., models in production for more than 2 years)
## 3534 We have well established ML methods (i.e., models in production for more than 2 years)
## 3535 We use ML methods for generating insights (but do not put working models into production)
## 3536 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3537 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3538 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3539 <NA>
## 3540 No (we do not use ML methods)
## 3541 We are exploring ML methods (and may one day put a model into production)
## 3542 We use ML methods for generating insights (but do not put working models into production)
## 3543 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3544 We are exploring ML methods (and may one day put a model into production)
## 3545 No (we do not use ML methods)
## 3546 We have well established ML methods (i.e., models in production for more than 2 years)
## 3547 We are exploring ML methods (and may one day put a model into production)
## 3548 We use ML methods for generating insights (but do not put working models into production)
## 3549 <NA>
## 3550 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3551 I do not know
## 3552 No (we do not use ML methods)
## 3553 We use ML methods for generating insights (but do not put working models into production)
## 3554 We use ML methods for generating insights (but do not put working models into production)
## 3555 No (we do not use ML methods)
## 3556 No (we do not use ML methods)
## 3557 <NA>
## 3558 We use ML methods for generating insights (but do not put working models into production)
## 3559 We are exploring ML methods (and may one day put a model into production)
## 3560 <NA>
## 3561 <NA>
## 3562 We are exploring ML methods (and may one day put a model into production)
## 3563 We are exploring ML methods (and may one day put a model into production)
## 3564 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3565 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3566 We have well established ML methods (i.e., models in production for more than 2 years)
## 3567 We are exploring ML methods (and may one day put a model into production)
## 3568 No (we do not use ML methods)
## 3569 <NA>
## 3570 <NA>
## 3571 We have well established ML methods (i.e., models in production for more than 2 years)
## 3572 I do not know
## 3573 We have well established ML methods (i.e., models in production for more than 2 years)
## 3574 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3575 <NA>
## 3576 We use ML methods for generating insights (but do not put working models into production)
## 3577 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3578 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3579 <NA>
## 3580 <NA>
## 3581 We are exploring ML methods (and may one day put a model into production)
## 3582 We are exploring ML methods (and may one day put a model into production)
## 3583 No (we do not use ML methods)
## 3584 No (we do not use ML methods)
## 3585 We use ML methods for generating insights (but do not put working models into production)
## 3586 <NA>
## 3587 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3588 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3589 <NA>
## 3590 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3591 We are exploring ML methods (and may one day put a model into production)
## 3592 <NA>
## 3593 <NA>
## 3594 We are exploring ML methods (and may one day put a model into production)
## 3595 We are exploring ML methods (and may one day put a model into production)
## 3596 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3597 <NA>
## 3598 No (we do not use ML methods)
## 3599 No (we do not use ML methods)
## 3600 We use ML methods for generating insights (but do not put working models into production)
## 3601 <NA>
## 3602 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3603 We have well established ML methods (i.e., models in production for more than 2 years)
## 3604 We are exploring ML methods (and may one day put a model into production)
## 3605 We have well established ML methods (i.e., models in production for more than 2 years)
## 3606 We are exploring ML methods (and may one day put a model into production)
## 3607 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3608 We are exploring ML methods (and may one day put a model into production)
## 3609 <NA>
## 3610 We have well established ML methods (i.e., models in production for more than 2 years)
## 3611 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3612 <NA>
## 3613 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3614 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3615 We use ML methods for generating insights (but do not put working models into production)
## 3616 We are exploring ML methods (and may one day put a model into production)
## 3617 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3618 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3619 <NA>
## 3620 <NA>
## 3621 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3622 No (we do not use ML methods)
## 3623 <NA>
## 3624 We are exploring ML methods (and may one day put a model into production)
## 3625 We have well established ML methods (i.e., models in production for more than 2 years)
## 3626 We use ML methods for generating insights (but do not put working models into production)
## 3627 No (we do not use ML methods)
## 3628 <NA>
## 3629 <NA>
## 3630 <NA>
## 3631 We have well established ML methods (i.e., models in production for more than 2 years)
## 3632 No (we do not use ML methods)
## 3633 We use ML methods for generating insights (but do not put working models into production)
## 3634 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3635 <NA>
## 3636 We are exploring ML methods (and may one day put a model into production)
## 3637 <NA>
## 3638 We are exploring ML methods (and may one day put a model into production)
## 3639 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3640 We have well established ML methods (i.e., models in production for more than 2 years)
## 3641 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3642 We have well established ML methods (i.e., models in production for more than 2 years)
## 3643 No (we do not use ML methods)
## 3644 <NA>
## 3645 We are exploring ML methods (and may one day put a model into production)
## 3646 No (we do not use ML methods)
## 3647 We are exploring ML methods (and may one day put a model into production)
## 3648 We use ML methods for generating insights (but do not put working models into production)
## 3649 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3650 I do not know
## 3651 No (we do not use ML methods)
## 3652 <NA>
## 3653 We use ML methods for generating insights (but do not put working models into production)
## 3654 We are exploring ML methods (and may one day put a model into production)
## 3655 No (we do not use ML methods)
## 3656 We have well established ML methods (i.e., models in production for more than 2 years)
## 3657 We are exploring ML methods (and may one day put a model into production)
## 3658 No (we do not use ML methods)
## 3659 <NA>
## 3660 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3661 No (we do not use ML methods)
## 3662 No (we do not use ML methods)
## 3663 No (we do not use ML methods)
## 3664 We have well established ML methods (i.e., models in production for more than 2 years)
## 3665 <NA>
## 3666 No (we do not use ML methods)
## 3667 No (we do not use ML methods)
## 3668 <NA>
## 3669 <NA>
## 3670 We have well established ML methods (i.e., models in production for more than 2 years)
## 3671 <NA>
## 3672 We use ML methods for generating insights (but do not put working models into production)
## 3673 <NA>
## 3674 We are exploring ML methods (and may one day put a model into production)
## 3675 <NA>
## 3676 <NA>
## 3677 No (we do not use ML methods)
## 3678 We have well established ML methods (i.e., models in production for more than 2 years)
## 3679 No (we do not use ML methods)
## 3680 We are exploring ML methods (and may one day put a model into production)
## 3681 We have well established ML methods (i.e., models in production for more than 2 years)
## 3682 We have well established ML methods (i.e., models in production for more than 2 years)
## 3683 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3684 We are exploring ML methods (and may one day put a model into production)
## 3685 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3686 We are exploring ML methods (and may one day put a model into production)
## 3687 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3688 <NA>
## 3689 We are exploring ML methods (and may one day put a model into production)
## 3690 We have well established ML methods (i.e., models in production for more than 2 years)
## 3691 We are exploring ML methods (and may one day put a model into production)
## 3692 We have well established ML methods (i.e., models in production for more than 2 years)
## 3693 We are exploring ML methods (and may one day put a model into production)
## 3694 <NA>
## 3695 <NA>
## 3696 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3697 We use ML methods for generating insights (but do not put working models into production)
## 3698 No (we do not use ML methods)
## 3699 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3700 We have well established ML methods (i.e., models in production for more than 2 years)
## 3701 No (we do not use ML methods)
## 3702 We are exploring ML methods (and may one day put a model into production)
## 3703 We have well established ML methods (i.e., models in production for more than 2 years)
## 3704 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3705 We have well established ML methods (i.e., models in production for more than 2 years)
## 3706 We have well established ML methods (i.e., models in production for more than 2 years)
## 3707 We have well established ML methods (i.e., models in production for more than 2 years)
## 3708 We have well established ML methods (i.e., models in production for more than 2 years)
## 3709 We use ML methods for generating insights (but do not put working models into production)
## 3710 We are exploring ML methods (and may one day put a model into production)
## 3711 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3712 No (we do not use ML methods)
## 3713 <NA>
## 3714 <NA>
## 3715 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3716 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3717 We use ML methods for generating insights (but do not put working models into production)
## 3718 We have well established ML methods (i.e., models in production for more than 2 years)
## 3719 We use ML methods for generating insights (but do not put working models into production)
## 3720 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3721 We have well established ML methods (i.e., models in production for more than 2 years)
## 3722 <NA>
## 3723 We have well established ML methods (i.e., models in production for more than 2 years)
## 3724 No (we do not use ML methods)
## 3725 We have well established ML methods (i.e., models in production for more than 2 years)
## 3726 <NA>
## 3727 <NA>
## 3728 <NA>
## 3729 No (we do not use ML methods)
## 3730 We use ML methods for generating insights (but do not put working models into production)
## 3731 <NA>
## 3732 We have well established ML methods (i.e., models in production for more than 2 years)
## 3733 We have well established ML methods (i.e., models in production for more than 2 years)
## 3734 We are exploring ML methods (and may one day put a model into production)
## 3735 <NA>
## 3736 We are exploring ML methods (and may one day put a model into production)
## 3737 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3738 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3739 <NA>
## 3740 We have well established ML methods (i.e., models in production for more than 2 years)
## 3741 <NA>
## 3742 I do not know
## 3743 No (we do not use ML methods)
## 3744 We use ML methods for generating insights (but do not put working models into production)
## 3745 We have well established ML methods (i.e., models in production for more than 2 years)
## 3746 We are exploring ML methods (and may one day put a model into production)
## 3747 No (we do not use ML methods)
## 3748 We have well established ML methods (i.e., models in production for more than 2 years)
## 3749 No (we do not use ML methods)
## 3750 We are exploring ML methods (and may one day put a model into production)
## 3751 We are exploring ML methods (and may one day put a model into production)
## 3752 We are exploring ML methods (and may one day put a model into production)
## 3753 We are exploring ML methods (and may one day put a model into production)
## 3754 We have well established ML methods (i.e., models in production for more than 2 years)
## 3755 We are exploring ML methods (and may one day put a model into production)
## 3756 No (we do not use ML methods)
## 3757 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3758 We use ML methods for generating insights (but do not put working models into production)
## 3759 <NA>
## 3760 We use ML methods for generating insights (but do not put working models into production)
## 3761 We have well established ML methods (i.e., models in production for more than 2 years)
## 3762 No (we do not use ML methods)
## 3763 We are exploring ML methods (and may one day put a model into production)
## 3764 We use ML methods for generating insights (but do not put working models into production)
## 3765 <NA>
## 3766 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3767 I do not know
## 3768 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3769 <NA>
## 3770 No (we do not use ML methods)
## 3771 I do not know
## 3772 We are exploring ML methods (and may one day put a model into production)
## 3773 We use ML methods for generating insights (but do not put working models into production)
## 3774 We use ML methods for generating insights (but do not put working models into production)
## 3775 We have well established ML methods (i.e., models in production for more than 2 years)
## 3776 No (we do not use ML methods)
## 3777 I do not know
## 3778 We are exploring ML methods (and may one day put a model into production)
## 3779 We have well established ML methods (i.e., models in production for more than 2 years)
## 3780 No (we do not use ML methods)
## 3781 We are exploring ML methods (and may one day put a model into production)
## 3782 No (we do not use ML methods)
## 3783 No (we do not use ML methods)
## 3784 We use ML methods for generating insights (but do not put working models into production)
## 3785 <NA>
## 3786 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3787 We have well established ML methods (i.e., models in production for more than 2 years)
## 3788 We have well established ML methods (i.e., models in production for more than 2 years)
## 3789 No (we do not use ML methods)
## 3790 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3791 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3792 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3793 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3794 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3795 We are exploring ML methods (and may one day put a model into production)
## 3796 <NA>
## 3797 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3798 We are exploring ML methods (and may one day put a model into production)
## 3799 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3800 No (we do not use ML methods)
## 3801 We have well established ML methods (i.e., models in production for more than 2 years)
## 3802 I do not know
## 3803 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3804 No (we do not use ML methods)
## 3805 We are exploring ML methods (and may one day put a model into production)
## 3806 We have well established ML methods (i.e., models in production for more than 2 years)
## 3807 No (we do not use ML methods)
## 3808 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3809 We are exploring ML methods (and may one day put a model into production)
## 3810 We are exploring ML methods (and may one day put a model into production)
## 3811 We use ML methods for generating insights (but do not put working models into production)
## 3812 <NA>
## 3813 We use ML methods for generating insights (but do not put working models into production)
## 3814 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3815 No (we do not use ML methods)
## 3816 We use ML methods for generating insights (but do not put working models into production)
## 3817 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3818 <NA>
## 3819 We have well established ML methods (i.e., models in production for more than 2 years)
## 3820 <NA>
## 3821 We use ML methods for generating insights (but do not put working models into production)
## 3822 No (we do not use ML methods)
## 3823 We have well established ML methods (i.e., models in production for more than 2 years)
## 3824 We are exploring ML methods (and may one day put a model into production)
## 3825 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3826 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3827 No (we do not use ML methods)
## 3828 We have well established ML methods (i.e., models in production for more than 2 years)
## 3829 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3830 <NA>
## 3831 We have well established ML methods (i.e., models in production for more than 2 years)
## 3832 I do not know
## 3833 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3834 <NA>
## 3835 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3836 <NA>
## 3837 No (we do not use ML methods)
## 3838 We are exploring ML methods (and may one day put a model into production)
## 3839 We use ML methods for generating insights (but do not put working models into production)
## 3840 I do not know
## 3841 We are exploring ML methods (and may one day put a model into production)
## 3842 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3843 <NA>
## 3844 We use ML methods for generating insights (but do not put working models into production)
## 3845 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3846 <NA>
## 3847 We have well established ML methods (i.e., models in production for more than 2 years)
## 3848 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3849 We are exploring ML methods (and may one day put a model into production)
## 3850 <NA>
## 3851 We have well established ML methods (i.e., models in production for more than 2 years)
## 3852 We have well established ML methods (i.e., models in production for more than 2 years)
## 3853 I do not know
## 3854 We use ML methods for generating insights (but do not put working models into production)
## 3855 <NA>
## 3856 We have well established ML methods (i.e., models in production for more than 2 years)
## 3857 We use ML methods for generating insights (but do not put working models into production)
## 3858 I do not know
## 3859 I do not know
## 3860 We have well established ML methods (i.e., models in production for more than 2 years)
## 3861 No (we do not use ML methods)
## 3862 We use ML methods for generating insights (but do not put working models into production)
## 3863 <NA>
## 3864 We are exploring ML methods (and may one day put a model into production)
## 3865 We have well established ML methods (i.e., models in production for more than 2 years)
## 3866 I do not know
## 3867 No (we do not use ML methods)
## 3868 We are exploring ML methods (and may one day put a model into production)
## 3869 <NA>
## 3870 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3871 <NA>
## 3872 <NA>
## 3873 We use ML methods for generating insights (but do not put working models into production)
## 3874 We have well established ML methods (i.e., models in production for more than 2 years)
## 3875 We use ML methods for generating insights (but do not put working models into production)
## 3876 We have well established ML methods (i.e., models in production for more than 2 years)
## 3877 <NA>
## 3878 We have well established ML methods (i.e., models in production for more than 2 years)
## 3879 <NA>
## 3880 <NA>
## 3881 We are exploring ML methods (and may one day put a model into production)
## 3882 We have well established ML methods (i.e., models in production for more than 2 years)
## 3883 <NA>
## 3884 We are exploring ML methods (and may one day put a model into production)
## 3885 We use ML methods for generating insights (but do not put working models into production)
## 3886 We are exploring ML methods (and may one day put a model into production)
## 3887 <NA>
## 3888 No (we do not use ML methods)
## 3889 We are exploring ML methods (and may one day put a model into production)
## 3890 <NA>
## 3891 We have well established ML methods (i.e., models in production for more than 2 years)
## 3892 We have well established ML methods (i.e., models in production for more than 2 years)
## 3893 We are exploring ML methods (and may one day put a model into production)
## 3894 We use ML methods for generating insights (but do not put working models into production)
## 3895 <NA>
## 3896 No (we do not use ML methods)
## 3897 We are exploring ML methods (and may one day put a model into production)
## 3898 <NA>
## 3899 We have well established ML methods (i.e., models in production for more than 2 years)
## 3900 No (we do not use ML methods)
## 3901 We are exploring ML methods (and may one day put a model into production)
## 3902 <NA>
## 3903 <NA>
## 3904 We have well established ML methods (i.e., models in production for more than 2 years)
## 3905 We are exploring ML methods (and may one day put a model into production)
## 3906 <NA>
## 3907 We are exploring ML methods (and may one day put a model into production)
## 3908 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3909 We use ML methods for generating insights (but do not put working models into production)
## 3910 We are exploring ML methods (and may one day put a model into production)
## 3911 No (we do not use ML methods)
## 3912 We use ML methods for generating insights (but do not put working models into production)
## 3913 We use ML methods for generating insights (but do not put working models into production)
## 3914 We are exploring ML methods (and may one day put a model into production)
## 3915 We are exploring ML methods (and may one day put a model into production)
## 3916 We have well established ML methods (i.e., models in production for more than 2 years)
## 3917 We have well established ML methods (i.e., models in production for more than 2 years)
## 3918 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3919 No (we do not use ML methods)
## 3920 We are exploring ML methods (and may one day put a model into production)
## 3921 We are exploring ML methods (and may one day put a model into production)
## 3922 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3923 No (we do not use ML methods)
## 3924 No (we do not use ML methods)
## 3925 We have well established ML methods (i.e., models in production for more than 2 years)
## 3926 No (we do not use ML methods)
## 3927 No (we do not use ML methods)
## 3928 No (we do not use ML methods)
## 3929 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3930 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3931 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3932 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3933 We use ML methods for generating insights (but do not put working models into production)
## 3934 We are exploring ML methods (and may one day put a model into production)
## 3935 We are exploring ML methods (and may one day put a model into production)
## 3936 No (we do not use ML methods)
## 3937 <NA>
## 3938 We have well established ML methods (i.e., models in production for more than 2 years)
## 3939 We are exploring ML methods (and may one day put a model into production)
## 3940 No (we do not use ML methods)
## 3941 We have well established ML methods (i.e., models in production for more than 2 years)
## 3942 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3943 <NA>
## 3944 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3945 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3946 No (we do not use ML methods)
## 3947 We are exploring ML methods (and may one day put a model into production)
## 3948 We are exploring ML methods (and may one day put a model into production)
## 3949 We have well established ML methods (i.e., models in production for more than 2 years)
## 3950 <NA>
## 3951 <NA>
## 3952 No (we do not use ML methods)
## 3953 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3954 We use ML methods for generating insights (but do not put working models into production)
## 3955 <NA>
## 3956 We are exploring ML methods (and may one day put a model into production)
## 3957 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3958 <NA>
## 3959 We use ML methods for generating insights (but do not put working models into production)
## 3960 No (we do not use ML methods)
## 3961 I do not know
## 3962 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3963 No (we do not use ML methods)
## 3964 <NA>
## 3965 We use ML methods for generating insights (but do not put working models into production)
## 3966 We use ML methods for generating insights (but do not put working models into production)
## 3967 We are exploring ML methods (and may one day put a model into production)
## 3968 <NA>
## 3969 I do not know
## 3970 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3971 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3972 We are exploring ML methods (and may one day put a model into production)
## 3973 We have well established ML methods (i.e., models in production for more than 2 years)
## 3974 We have well established ML methods (i.e., models in production for more than 2 years)
## 3975 We are exploring ML methods (and may one day put a model into production)
## 3976 I do not know
## 3977 We are exploring ML methods (and may one day put a model into production)
## 3978 We have well established ML methods (i.e., models in production for more than 2 years)
## 3979 We are exploring ML methods (and may one day put a model into production)
## 3980 No (we do not use ML methods)
## 3981 We are exploring ML methods (and may one day put a model into production)
## 3982 We are exploring ML methods (and may one day put a model into production)
## 3983 We are exploring ML methods (and may one day put a model into production)
## 3984 <NA>
## 3985 No (we do not use ML methods)
## 3986 <NA>
## 3987 We use ML methods for generating insights (but do not put working models into production)
## 3988 <NA>
## 3989 We use ML methods for generating insights (but do not put working models into production)
## 3990 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3991 We have well established ML methods (i.e., models in production for more than 2 years)
## 3992 We are exploring ML methods (and may one day put a model into production)
## 3993 We use ML methods for generating insights (but do not put working models into production)
## 3994 We use ML methods for generating insights (but do not put working models into production)
## 3995 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3996 No (we do not use ML methods)
## 3997 <NA>
## 3998 We recently started using ML methods (i.e., models in production for less than 2 years)
## 3999 I do not know
## 4000 We have well established ML methods (i.e., models in production for more than 2 years)
## 4001 We use ML methods for generating insights (but do not put working models into production)
## 4002 No (we do not use ML methods)
## 4003 We use ML methods for generating insights (but do not put working models into production)
## 4004 We use ML methods for generating insights (but do not put working models into production)
## 4005 We have well established ML methods (i.e., models in production for more than 2 years)
## 4006 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4007 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4008 We are exploring ML methods (and may one day put a model into production)
## 4009 I do not know
## 4010 <NA>
## 4011 <NA>
## 4012 <NA>
## 4013 <NA>
## 4014 No (we do not use ML methods)
## 4015 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4016 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4017 We have well established ML methods (i.e., models in production for more than 2 years)
## 4018 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4019 <NA>
## 4020 We have well established ML methods (i.e., models in production for more than 2 years)
## 4021 We have well established ML methods (i.e., models in production for more than 2 years)
## 4022 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4023 We are exploring ML methods (and may one day put a model into production)
## 4024 We have well established ML methods (i.e., models in production for more than 2 years)
## 4025 We have well established ML methods (i.e., models in production for more than 2 years)
## 4026 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4027 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4028 No (we do not use ML methods)
## 4029 We use ML methods for generating insights (but do not put working models into production)
## 4030 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4031 We use ML methods for generating insights (but do not put working models into production)
## 4032 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4033 I do not know
## 4034 No (we do not use ML methods)
## 4035 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4036 We use ML methods for generating insights (but do not put working models into production)
## 4037 No (we do not use ML methods)
## 4038 <NA>
## 4039 We have well established ML methods (i.e., models in production for more than 2 years)
## 4040 We are exploring ML methods (and may one day put a model into production)
## 4041 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4042 We have well established ML methods (i.e., models in production for more than 2 years)
## 4043 We have well established ML methods (i.e., models in production for more than 2 years)
## 4044 <NA>
## 4045 <NA>
## 4046 I do not know
## 4047 We use ML methods for generating insights (but do not put working models into production)
## 4048 <NA>
## 4049 <NA>
## 4050 We use ML methods for generating insights (but do not put working models into production)
## 4051 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4052 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4053 No (we do not use ML methods)
## 4054 We have well established ML methods (i.e., models in production for more than 2 years)
## 4055 We use ML methods for generating insights (but do not put working models into production)
## 4056 No (we do not use ML methods)
## 4057 No (we do not use ML methods)
## 4058 We have well established ML methods (i.e., models in production for more than 2 years)
## 4059 I do not know
## 4060 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4061 We are exploring ML methods (and may one day put a model into production)
## 4062 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4063 We are exploring ML methods (and may one day put a model into production)
## 4064 No (we do not use ML methods)
## 4065 <NA>
## 4066 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4067 We are exploring ML methods (and may one day put a model into production)
## 4068 No (we do not use ML methods)
## 4069 We are exploring ML methods (and may one day put a model into production)
## 4070 No (we do not use ML methods)
## 4071 <NA>
## 4072 We have well established ML methods (i.e., models in production for more than 2 years)
## 4073 We are exploring ML methods (and may one day put a model into production)
## 4074 We use ML methods for generating insights (but do not put working models into production)
## 4075 <NA>
## 4076 I do not know
## 4077 We use ML methods for generating insights (but do not put working models into production)
## 4078 No (we do not use ML methods)
## 4079 We use ML methods for generating insights (but do not put working models into production)
## 4080 No (we do not use ML methods)
## 4081 I do not know
## 4082 <NA>
## 4083 <NA>
## 4084 We are exploring ML methods (and may one day put a model into production)
## 4085 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4086 We are exploring ML methods (and may one day put a model into production)
## 4087 We are exploring ML methods (and may one day put a model into production)
## 4088 I do not know
## 4089 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4090 We are exploring ML methods (and may one day put a model into production)
## 4091 We have well established ML methods (i.e., models in production for more than 2 years)
## 4092 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4093 <NA>
## 4094 I do not know
## 4095 <NA>
## 4096 We have well established ML methods (i.e., models in production for more than 2 years)
## 4097 <NA>
## 4098 We have well established ML methods (i.e., models in production for more than 2 years)
## 4099 I do not know
## 4100 We are exploring ML methods (and may one day put a model into production)
## 4101 We have well established ML methods (i.e., models in production for more than 2 years)
## 4102 <NA>
## 4103 No (we do not use ML methods)
## 4104 We use ML methods for generating insights (but do not put working models into production)
## 4105 <NA>
## 4106 <NA>
## 4107 I do not know
## 4108 We are exploring ML methods (and may one day put a model into production)
## 4109 <NA>
## 4110 We have well established ML methods (i.e., models in production for more than 2 years)
## 4111 I do not know
## 4112 We are exploring ML methods (and may one day put a model into production)
## 4113 We are exploring ML methods (and may one day put a model into production)
## 4114 We have well established ML methods (i.e., models in production for more than 2 years)
## 4115 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4116 We are exploring ML methods (and may one day put a model into production)
## 4117 We have well established ML methods (i.e., models in production for more than 2 years)
## 4118 We have well established ML methods (i.e., models in production for more than 2 years)
## 4119 I do not know
## 4120 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4121 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4122 We are exploring ML methods (and may one day put a model into production)
## 4123 No (we do not use ML methods)
## 4124 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4125 <NA>
## 4126 No (we do not use ML methods)
## 4127 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4128 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4129 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4130 <NA>
## 4131 <NA>
## 4132 <NA>
## 4133 <NA>
## 4134 No (we do not use ML methods)
## 4135 We use ML methods for generating insights (but do not put working models into production)
## 4136 No (we do not use ML methods)
## 4137 <NA>
## 4138 We use ML methods for generating insights (but do not put working models into production)
## 4139 We are exploring ML methods (and may one day put a model into production)
## 4140 We use ML methods for generating insights (but do not put working models into production)
## 4141 <NA>
## 4142 <NA>
## 4143 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4144 <NA>
## 4145 <NA>
## 4146 We are exploring ML methods (and may one day put a model into production)
## 4147 No (we do not use ML methods)
## 4148 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4149 <NA>
## 4150 <NA>
## 4151 <NA>
## 4152 <NA>
## 4153 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4154 <NA>
## 4155 No (we do not use ML methods)
## 4156 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4157 <NA>
## 4158 We are exploring ML methods (and may one day put a model into production)
## 4159 <NA>
## 4160 We are exploring ML methods (and may one day put a model into production)
## 4161 <NA>
## 4162 No (we do not use ML methods)
## 4163 <NA>
## 4164 I do not know
## 4165 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4166 We have well established ML methods (i.e., models in production for more than 2 years)
## 4167 We have well established ML methods (i.e., models in production for more than 2 years)
## 4168 We are exploring ML methods (and may one day put a model into production)
## 4169 <NA>
## 4170 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4171 No (we do not use ML methods)
## 4172 No (we do not use ML methods)
## 4173 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4174 We use ML methods for generating insights (but do not put working models into production)
## 4175 We are exploring ML methods (and may one day put a model into production)
## 4176 We are exploring ML methods (and may one day put a model into production)
## 4177 We have well established ML methods (i.e., models in production for more than 2 years)
## 4178 <NA>
## 4179 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4180 No (we do not use ML methods)
## 4181 I do not know
## 4182 No (we do not use ML methods)
## 4183 We are exploring ML methods (and may one day put a model into production)
## 4184 <NA>
## 4185 No (we do not use ML methods)
## 4186 We use ML methods for generating insights (but do not put working models into production)
## 4187 We have well established ML methods (i.e., models in production for more than 2 years)
## 4188 <NA>
## 4189 We are exploring ML methods (and may one day put a model into production)
## 4190 We have well established ML methods (i.e., models in production for more than 2 years)
## 4191 I do not know
## 4192 No (we do not use ML methods)
## 4193 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4194 I do not know
## 4195 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4196 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4197 No (we do not use ML methods)
## 4198 No (we do not use ML methods)
## 4199 We have well established ML methods (i.e., models in production for more than 2 years)
## 4200 <NA>
## 4201 We use ML methods for generating insights (but do not put working models into production)
## 4202 We are exploring ML methods (and may one day put a model into production)
## 4203 <NA>
## 4204 <NA>
## 4205 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4206 <NA>
## 4207 <NA>
## 4208 No (we do not use ML methods)
## 4209 We use ML methods for generating insights (but do not put working models into production)
## 4210 We use ML methods for generating insights (but do not put working models into production)
## 4211 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4212 We are exploring ML methods (and may one day put a model into production)
## 4213 We are exploring ML methods (and may one day put a model into production)
## 4214 We have well established ML methods (i.e., models in production for more than 2 years)
## 4215 No (we do not use ML methods)
## 4216 I do not know
## 4217 <NA>
## 4218 We have well established ML methods (i.e., models in production for more than 2 years)
## 4219 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4220 We are exploring ML methods (and may one day put a model into production)
## 4221 We have well established ML methods (i.e., models in production for more than 2 years)
## 4222 No (we do not use ML methods)
## 4223 We are exploring ML methods (and may one day put a model into production)
## 4224 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4225 We are exploring ML methods (and may one day put a model into production)
## 4226 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4227 <NA>
## 4228 <NA>
## 4229 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4230 I do not know
## 4231 We use ML methods for generating insights (but do not put working models into production)
## 4232 We have well established ML methods (i.e., models in production for more than 2 years)
## 4233 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4234 <NA>
## 4235 We have well established ML methods (i.e., models in production for more than 2 years)
## 4236 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4237 I do not know
## 4238 <NA>
## 4239 <NA>
## 4240 We use ML methods for generating insights (but do not put working models into production)
## 4241 We are exploring ML methods (and may one day put a model into production)
## 4242 <NA>
## 4243 We have well established ML methods (i.e., models in production for more than 2 years)
## 4244 We use ML methods for generating insights (but do not put working models into production)
## 4245 No (we do not use ML methods)
## 4246 We have well established ML methods (i.e., models in production for more than 2 years)
## 4247 We are exploring ML methods (and may one day put a model into production)
## 4248 I do not know
## 4249 We use ML methods for generating insights (but do not put working models into production)
## 4250 <NA>
## 4251 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4252 We are exploring ML methods (and may one day put a model into production)
## 4253 We have well established ML methods (i.e., models in production for more than 2 years)
## 4254 I do not know
## 4255 <NA>
## 4256 No (we do not use ML methods)
## 4257 No (we do not use ML methods)
## 4258 We use ML methods for generating insights (but do not put working models into production)
## 4259 We are exploring ML methods (and may one day put a model into production)
## 4260 We have well established ML methods (i.e., models in production for more than 2 years)
## 4261 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4262 No (we do not use ML methods)
## 4263 <NA>
## 4264 We are exploring ML methods (and may one day put a model into production)
## 4265 We use ML methods for generating insights (but do not put working models into production)
## 4266 We are exploring ML methods (and may one day put a model into production)
## 4267 I do not know
## 4268 No (we do not use ML methods)
## 4269 <NA>
## 4270 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4271 I do not know
## 4272 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4273 <NA>
## 4274 <NA>
## 4275 <NA>
## 4276 <NA>
## 4277 We are exploring ML methods (and may one day put a model into production)
## 4278 <NA>
## 4279 <NA>
## 4280 I do not know
## 4281 <NA>
## 4282 No (we do not use ML methods)
## 4283 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4284 No (we do not use ML methods)
## 4285 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4286 We are exploring ML methods (and may one day put a model into production)
## 4287 We have well established ML methods (i.e., models in production for more than 2 years)
## 4288 We are exploring ML methods (and may one day put a model into production)
## 4289 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4290 We have well established ML methods (i.e., models in production for more than 2 years)
## 4291 No (we do not use ML methods)
## 4292 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4293 We are exploring ML methods (and may one day put a model into production)
## 4294 No (we do not use ML methods)
## 4295 <NA>
## 4296 <NA>
## 4297 No (we do not use ML methods)
## 4298 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4299 We use ML methods for generating insights (but do not put working models into production)
## 4300 We are exploring ML methods (and may one day put a model into production)
## 4301 We are exploring ML methods (and may one day put a model into production)
## 4302 <NA>
## 4303 <NA>
## 4304 We are exploring ML methods (and may one day put a model into production)
## 4305 No (we do not use ML methods)
## 4306 We are exploring ML methods (and may one day put a model into production)
## 4307 We are exploring ML methods (and may one day put a model into production)
## 4308 We use ML methods for generating insights (but do not put working models into production)
## 4309 I do not know
## 4310 <NA>
## 4311 <NA>
## 4312 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4313 We are exploring ML methods (and may one day put a model into production)
## 4314 We have well established ML methods (i.e., models in production for more than 2 years)
## 4315 <NA>
## 4316 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4317 <NA>
## 4318 No (we do not use ML methods)
## 4319 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4320 We have well established ML methods (i.e., models in production for more than 2 years)
## 4321 No (we do not use ML methods)
## 4322 No (we do not use ML methods)
## 4323 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4324 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4325 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4326 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4327 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4328 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4329 No (we do not use ML methods)
## 4330 We are exploring ML methods (and may one day put a model into production)
## 4331 No (we do not use ML methods)
## 4332 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4333 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4334 <NA>
## 4335 No (we do not use ML methods)
## 4336 No (we do not use ML methods)
## 4337 We are exploring ML methods (and may one day put a model into production)
## 4338 We use ML methods for generating insights (but do not put working models into production)
## 4339 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4340 No (we do not use ML methods)
## 4341 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4342 We use ML methods for generating insights (but do not put working models into production)
## 4343 I do not know
## 4344 No (we do not use ML methods)
## 4345 <NA>
## 4346 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4347 We use ML methods for generating insights (but do not put working models into production)
## 4348 We are exploring ML methods (and may one day put a model into production)
## 4349 We have well established ML methods (i.e., models in production for more than 2 years)
## 4350 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4351 No (we do not use ML methods)
## 4352 No (we do not use ML methods)
## 4353 <NA>
## 4354 No (we do not use ML methods)
## 4355 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4356 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4357 No (we do not use ML methods)
## 4358 No (we do not use ML methods)
## 4359 We have well established ML methods (i.e., models in production for more than 2 years)
## 4360 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4361 We have well established ML methods (i.e., models in production for more than 2 years)
## 4362 No (we do not use ML methods)
## 4363 We have well established ML methods (i.e., models in production for more than 2 years)
## 4364 We are exploring ML methods (and may one day put a model into production)
## 4365 No (we do not use ML methods)
## 4366 <NA>
## 4367 We are exploring ML methods (and may one day put a model into production)
## 4368 <NA>
## 4369 I do not know
## 4370 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4371 No (we do not use ML methods)
## 4372 We have well established ML methods (i.e., models in production for more than 2 years)
## 4373 We have well established ML methods (i.e., models in production for more than 2 years)
## 4374 No (we do not use ML methods)
## 4375 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4376 I do not know
## 4377 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4378 We use ML methods for generating insights (but do not put working models into production)
## 4379 No (we do not use ML methods)
## 4380 We are exploring ML methods (and may one day put a model into production)
## 4381 No (we do not use ML methods)
## 4382 No (we do not use ML methods)
## 4383 We are exploring ML methods (and may one day put a model into production)
## 4384 <NA>
## 4385 We have well established ML methods (i.e., models in production for more than 2 years)
## 4386 No (we do not use ML methods)
## 4387 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4388 We are exploring ML methods (and may one day put a model into production)
## 4389 <NA>
## 4390 We have well established ML methods (i.e., models in production for more than 2 years)
## 4391 <NA>
## 4392 No (we do not use ML methods)
## 4393 <NA>
## 4394 No (we do not use ML methods)
## 4395 We have well established ML methods (i.e., models in production for more than 2 years)
## 4396 <NA>
## 4397 I do not know
## 4398 <NA>
## 4399 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4400 <NA>
## 4401 <NA>
## 4402 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4403 <NA>
## 4404 We are exploring ML methods (and may one day put a model into production)
## 4405 We are exploring ML methods (and may one day put a model into production)
## 4406 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4407 We have well established ML methods (i.e., models in production for more than 2 years)
## 4408 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4409 <NA>
## 4410 <NA>
## 4411 We have well established ML methods (i.e., models in production for more than 2 years)
## 4412 We use ML methods for generating insights (but do not put working models into production)
## 4413 We have well established ML methods (i.e., models in production for more than 2 years)
## 4414 No (we do not use ML methods)
## 4415 <NA>
## 4416 We are exploring ML methods (and may one day put a model into production)
## 4417 We have well established ML methods (i.e., models in production for more than 2 years)
## 4418 We are exploring ML methods (and may one day put a model into production)
## 4419 We are exploring ML methods (and may one day put a model into production)
## 4420 <NA>
## 4421 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4422 No (we do not use ML methods)
## 4423 We are exploring ML methods (and may one day put a model into production)
## 4424 <NA>
## 4425 No (we do not use ML methods)
## 4426 <NA>
## 4427 <NA>
## 4428 No (we do not use ML methods)
## 4429 We have well established ML methods (i.e., models in production for more than 2 years)
## 4430 We are exploring ML methods (and may one day put a model into production)
## 4431 I do not know
## 4432 <NA>
## 4433 <NA>
## 4434 We are exploring ML methods (and may one day put a model into production)
## 4435 <NA>
## 4436 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4437 We are exploring ML methods (and may one day put a model into production)
## 4438 We are exploring ML methods (and may one day put a model into production)
## 4439 We have well established ML methods (i.e., models in production for more than 2 years)
## 4440 We are exploring ML methods (and may one day put a model into production)
## 4441 We have well established ML methods (i.e., models in production for more than 2 years)
## 4442 <NA>
## 4443 We are exploring ML methods (and may one day put a model into production)
## 4444 <NA>
## 4445 We are exploring ML methods (and may one day put a model into production)
## 4446 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4447 We are exploring ML methods (and may one day put a model into production)
## 4448 I do not know
## 4449 <NA>
## 4450 We use ML methods for generating insights (but do not put working models into production)
## 4451 No (we do not use ML methods)
## 4452 We use ML methods for generating insights (but do not put working models into production)
## 4453 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4454 No (we do not use ML methods)
## 4455 We are exploring ML methods (and may one day put a model into production)
## 4456 We have well established ML methods (i.e., models in production for more than 2 years)
## 4457 We have well established ML methods (i.e., models in production for more than 2 years)
## 4458 We are exploring ML methods (and may one day put a model into production)
## 4459 We are exploring ML methods (and may one day put a model into production)
## 4460 No (we do not use ML methods)
## 4461 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4462 We are exploring ML methods (and may one day put a model into production)
## 4463 I do not know
## 4464 No (we do not use ML methods)
## 4465 We have well established ML methods (i.e., models in production for more than 2 years)
## 4466 We are exploring ML methods (and may one day put a model into production)
## 4467 No (we do not use ML methods)
## 4468 <NA>
## 4469 We are exploring ML methods (and may one day put a model into production)
## 4470 No (we do not use ML methods)
## 4471 We use ML methods for generating insights (but do not put working models into production)
## 4472 We use ML methods for generating insights (but do not put working models into production)
## 4473 <NA>
## 4474 We have well established ML methods (i.e., models in production for more than 2 years)
## 4475 <NA>
## 4476 We use ML methods for generating insights (but do not put working models into production)
## 4477 We are exploring ML methods (and may one day put a model into production)
## 4478 We are exploring ML methods (and may one day put a model into production)
## 4479 No (we do not use ML methods)
## 4480 We have well established ML methods (i.e., models in production for more than 2 years)
## 4481 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4482 I do not know
## 4483 We are exploring ML methods (and may one day put a model into production)
## 4484 We are exploring ML methods (and may one day put a model into production)
## 4485 No (we do not use ML methods)
## 4486 We have well established ML methods (i.e., models in production for more than 2 years)
## 4487 <NA>
## 4488 We are exploring ML methods (and may one day put a model into production)
## 4489 I do not know
## 4490 We use ML methods for generating insights (but do not put working models into production)
## 4491 I do not know
## 4492 <NA>
## 4493 We have well established ML methods (i.e., models in production for more than 2 years)
## 4494 No (we do not use ML methods)
## 4495 We are exploring ML methods (and may one day put a model into production)
## 4496 <NA>
## 4497 We use ML methods for generating insights (but do not put working models into production)
## 4498 <NA>
## 4499 I do not know
## 4500 We use ML methods for generating insights (but do not put working models into production)
## 4501 We have well established ML methods (i.e., models in production for more than 2 years)
## 4502 We have well established ML methods (i.e., models in production for more than 2 years)
## 4503 We are exploring ML methods (and may one day put a model into production)
## 4504 We are exploring ML methods (and may one day put a model into production)
## 4505 <NA>
## 4506 I do not know
## 4507 No (we do not use ML methods)
## 4508 We use ML methods for generating insights (but do not put working models into production)
## 4509 We have well established ML methods (i.e., models in production for more than 2 years)
## 4510 <NA>
## 4511 <NA>
## 4512 We have well established ML methods (i.e., models in production for more than 2 years)
## 4513 We are exploring ML methods (and may one day put a model into production)
## 4514 <NA>
## 4515 We are exploring ML methods (and may one day put a model into production)
## 4516 We have well established ML methods (i.e., models in production for more than 2 years)
## 4517 We use ML methods for generating insights (but do not put working models into production)
## 4518 I do not know
## 4519 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4520 We use ML methods for generating insights (but do not put working models into production)
## 4521 No (we do not use ML methods)
## 4522 We are exploring ML methods (and may one day put a model into production)
## 4523 <NA>
## 4524 No (we do not use ML methods)
## 4525 I do not know
## 4526 We have well established ML methods (i.e., models in production for more than 2 years)
## 4527 We have well established ML methods (i.e., models in production for more than 2 years)
## 4528 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4529 No (we do not use ML methods)
## 4530 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4531 We use ML methods for generating insights (but do not put working models into production)
## 4532 We are exploring ML methods (and may one day put a model into production)
## 4533 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4534 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4535 <NA>
## 4536 No (we do not use ML methods)
## 4537 We have well established ML methods (i.e., models in production for more than 2 years)
## 4538 We have well established ML methods (i.e., models in production for more than 2 years)
## 4539 We have well established ML methods (i.e., models in production for more than 2 years)
## 4540 No (we do not use ML methods)
## 4541 No (we do not use ML methods)
## 4542 We are exploring ML methods (and may one day put a model into production)
## 4543 No (we do not use ML methods)
## 4544 <NA>
## 4545 We use ML methods for generating insights (but do not put working models into production)
## 4546 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4547 We have well established ML methods (i.e., models in production for more than 2 years)
## 4548 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4549 No (we do not use ML methods)
## 4550 <NA>
## 4551 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4552 We have well established ML methods (i.e., models in production for more than 2 years)
## 4553 <NA>
## 4554 No (we do not use ML methods)
## 4555 We have well established ML methods (i.e., models in production for more than 2 years)
## 4556 I do not know
## 4557 We are exploring ML methods (and may one day put a model into production)
## 4558 I do not know
## 4559 We have well established ML methods (i.e., models in production for more than 2 years)
## 4560 No (we do not use ML methods)
## 4561 We are exploring ML methods (and may one day put a model into production)
## 4562 <NA>
## 4563 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4564 We have well established ML methods (i.e., models in production for more than 2 years)
## 4565 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4566 We have well established ML methods (i.e., models in production for more than 2 years)
## 4567 We have well established ML methods (i.e., models in production for more than 2 years)
## 4568 <NA>
## 4569 No (we do not use ML methods)
## 4570 No (we do not use ML methods)
## 4571 I do not know
## 4572 We use ML methods for generating insights (but do not put working models into production)
## 4573 I do not know
## 4574 No (we do not use ML methods)
## 4575 We are exploring ML methods (and may one day put a model into production)
## 4576 <NA>
## 4577 We are exploring ML methods (and may one day put a model into production)
## 4578 <NA>
## 4579 No (we do not use ML methods)
## 4580 <NA>
## 4581 We are exploring ML methods (and may one day put a model into production)
## 4582 We are exploring ML methods (and may one day put a model into production)
## 4583 <NA>
## 4584 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4585 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4586 <NA>
## 4587 <NA>
## 4588 We have well established ML methods (i.e., models in production for more than 2 years)
## 4589 We use ML methods for generating insights (but do not put working models into production)
## 4590 We are exploring ML methods (and may one day put a model into production)
## 4591 We use ML methods for generating insights (but do not put working models into production)
## 4592 <NA>
## 4593 No (we do not use ML methods)
## 4594 <NA>
## 4595 No (we do not use ML methods)
## 4596 We have well established ML methods (i.e., models in production for more than 2 years)
## 4597 <NA>
## 4598 <NA>
## 4599 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4600 No (we do not use ML methods)
## 4601 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4602 <NA>
## 4603 We are exploring ML methods (and may one day put a model into production)
## 4604 No (we do not use ML methods)
## 4605 We are exploring ML methods (and may one day put a model into production)
## 4606 We are exploring ML methods (and may one day put a model into production)
## 4607 No (we do not use ML methods)
## 4608 No (we do not use ML methods)
## 4609 We are exploring ML methods (and may one day put a model into production)
## 4610 I do not know
## 4611 I do not know
## 4612 We have well established ML methods (i.e., models in production for more than 2 years)
## 4613 We have well established ML methods (i.e., models in production for more than 2 years)
## 4614 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4615 No (we do not use ML methods)
## 4616 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4617 We are exploring ML methods (and may one day put a model into production)
## 4618 We are exploring ML methods (and may one day put a model into production)
## 4619 We are exploring ML methods (and may one day put a model into production)
## 4620 We are exploring ML methods (and may one day put a model into production)
## 4621 We are exploring ML methods (and may one day put a model into production)
## 4622 <NA>
## 4623 We have well established ML methods (i.e., models in production for more than 2 years)
## 4624 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4625 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4626 No (we do not use ML methods)
## 4627 No (we do not use ML methods)
## 4628 We use ML methods for generating insights (but do not put working models into production)
## 4629 <NA>
## 4630 <NA>
## 4631 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4632 No (we do not use ML methods)
## 4633 We have well established ML methods (i.e., models in production for more than 2 years)
## 4634 We are exploring ML methods (and may one day put a model into production)
## 4635 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4636 We are exploring ML methods (and may one day put a model into production)
## 4637 We have well established ML methods (i.e., models in production for more than 2 years)
## 4638 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4639 <NA>
## 4640 We are exploring ML methods (and may one day put a model into production)
## 4641 No (we do not use ML methods)
## 4642 No (we do not use ML methods)
## 4643 <NA>
## 4644 No (we do not use ML methods)
## 4645 No (we do not use ML methods)
## 4646 I do not know
## 4647 We have well established ML methods (i.e., models in production for more than 2 years)
## 4648 We use ML methods for generating insights (but do not put working models into production)
## 4649 No (we do not use ML methods)
## 4650 We have well established ML methods (i.e., models in production for more than 2 years)
## 4651 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4652 We have well established ML methods (i.e., models in production for more than 2 years)
## 4653 <NA>
## 4654 <NA>
## 4655 We are exploring ML methods (and may one day put a model into production)
## 4656 We have well established ML methods (i.e., models in production for more than 2 years)
## 4657 <NA>
## 4658 No (we do not use ML methods)
## 4659 We are exploring ML methods (and may one day put a model into production)
## 4660 I do not know
## 4661 We have well established ML methods (i.e., models in production for more than 2 years)
## 4662 <NA>
## 4663 No (we do not use ML methods)
## 4664 We are exploring ML methods (and may one day put a model into production)
## 4665 We use ML methods for generating insights (but do not put working models into production)
## 4666 We are exploring ML methods (and may one day put a model into production)
## 4667 <NA>
## 4668 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4669 <NA>
## 4670 We have well established ML methods (i.e., models in production for more than 2 years)
## 4671 We have well established ML methods (i.e., models in production for more than 2 years)
## 4672 No (we do not use ML methods)
## 4673 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4674 We use ML methods for generating insights (but do not put working models into production)
## 4675 We have well established ML methods (i.e., models in production for more than 2 years)
## 4676 We are exploring ML methods (and may one day put a model into production)
## 4677 We are exploring ML methods (and may one day put a model into production)
## 4678 <NA>
## 4679 We have well established ML methods (i.e., models in production for more than 2 years)
## 4680 <NA>
## 4681 <NA>
## 4682 We are exploring ML methods (and may one day put a model into production)
## 4683 <NA>
## 4684 No (we do not use ML methods)
## 4685 We are exploring ML methods (and may one day put a model into production)
## 4686 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4687 We are exploring ML methods (and may one day put a model into production)
## 4688 No (we do not use ML methods)
## 4689 <NA>
## 4690 We are exploring ML methods (and may one day put a model into production)
## 4691 I do not know
## 4692 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4693 We use ML methods for generating insights (but do not put working models into production)
## 4694 We have well established ML methods (i.e., models in production for more than 2 years)
## 4695 We use ML methods for generating insights (but do not put working models into production)
## 4696 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4697 <NA>
## 4698 We use ML methods for generating insights (but do not put working models into production)
## 4699 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4700 <NA>
## 4701 We are exploring ML methods (and may one day put a model into production)
## 4702 <NA>
## 4703 <NA>
## 4704 We have well established ML methods (i.e., models in production for more than 2 years)
## 4705 We are exploring ML methods (and may one day put a model into production)
## 4706 We have well established ML methods (i.e., models in production for more than 2 years)
## 4707 <NA>
## 4708 We use ML methods for generating insights (but do not put working models into production)
## 4709 <NA>
## 4710 We have well established ML methods (i.e., models in production for more than 2 years)
## 4711 We use ML methods for generating insights (but do not put working models into production)
## 4712 <NA>
## 4713 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4714 <NA>
## 4715 <NA>
## 4716 We use ML methods for generating insights (but do not put working models into production)
## 4717 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4718 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4719 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4720 No (we do not use ML methods)
## 4721 We are exploring ML methods (and may one day put a model into production)
## 4722 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4723 <NA>
## 4724 We are exploring ML methods (and may one day put a model into production)
## 4725 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4726 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4727 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4728 <NA>
## 4729 We use ML methods for generating insights (but do not put working models into production)
## 4730 We have well established ML methods (i.e., models in production for more than 2 years)
## 4731 We use ML methods for generating insights (but do not put working models into production)
## 4732 We have well established ML methods (i.e., models in production for more than 2 years)
## 4733 We have well established ML methods (i.e., models in production for more than 2 years)
## 4734 We use ML methods for generating insights (but do not put working models into production)
## 4735 We are exploring ML methods (and may one day put a model into production)
## 4736 I do not know
## 4737 <NA>
## 4738 We use ML methods for generating insights (but do not put working models into production)
## 4739 We use ML methods for generating insights (but do not put working models into production)
## 4740 We are exploring ML methods (and may one day put a model into production)
## 4741 We use ML methods for generating insights (but do not put working models into production)
## 4742 We have well established ML methods (i.e., models in production for more than 2 years)
## 4743 <NA>
## 4744 No (we do not use ML methods)
## 4745 We are exploring ML methods (and may one day put a model into production)
## 4746 <NA>
## 4747 <NA>
## 4748 We are exploring ML methods (and may one day put a model into production)
## 4749 No (we do not use ML methods)
## 4750 We have well established ML methods (i.e., models in production for more than 2 years)
## 4751 <NA>
## 4752 We have well established ML methods (i.e., models in production for more than 2 years)
## 4753 We have well established ML methods (i.e., models in production for more than 2 years)
## 4754 <NA>
## 4755 No (we do not use ML methods)
## 4756 <NA>
## 4757 We use ML methods for generating insights (but do not put working models into production)
## 4758 We use ML methods for generating insights (but do not put working models into production)
## 4759 We use ML methods for generating insights (but do not put working models into production)
## 4760 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4761 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4762 <NA>
## 4763 We are exploring ML methods (and may one day put a model into production)
## 4764 We have well established ML methods (i.e., models in production for more than 2 years)
## 4765 <NA>
## 4766 We are exploring ML methods (and may one day put a model into production)
## 4767 No (we do not use ML methods)
## 4768 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4769 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4770 We have well established ML methods (i.e., models in production for more than 2 years)
## 4771 We use ML methods for generating insights (but do not put working models into production)
## 4772 <NA>
## 4773 <NA>
## 4774 We have well established ML methods (i.e., models in production for more than 2 years)
## 4775 We use ML methods for generating insights (but do not put working models into production)
## 4776 We have well established ML methods (i.e., models in production for more than 2 years)
## 4777 We are exploring ML methods (and may one day put a model into production)
## 4778 <NA>
## 4779 We have well established ML methods (i.e., models in production for more than 2 years)
## 4780 No (we do not use ML methods)
## 4781 <NA>
## 4782 We have well established ML methods (i.e., models in production for more than 2 years)
## 4783 We have well established ML methods (i.e., models in production for more than 2 years)
## 4784 <NA>
## 4785 I do not know
## 4786 We use ML methods for generating insights (but do not put working models into production)
## 4787 <NA>
## 4788 <NA>
## 4789 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4790 <NA>
## 4791 We are exploring ML methods (and may one day put a model into production)
## 4792 We have well established ML methods (i.e., models in production for more than 2 years)
## 4793 We are exploring ML methods (and may one day put a model into production)
## 4794 We have well established ML methods (i.e., models in production for more than 2 years)
## 4795 We use ML methods for generating insights (but do not put working models into production)
## 4796 We have well established ML methods (i.e., models in production for more than 2 years)
## 4797 We are exploring ML methods (and may one day put a model into production)
## 4798 <NA>
## 4799 <NA>
## 4800 We have well established ML methods (i.e., models in production for more than 2 years)
## 4801 <NA>
## 4802 <NA>
## 4803 <NA>
## 4804 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4805 No (we do not use ML methods)
## 4806 <NA>
## 4807 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4808 We are exploring ML methods (and may one day put a model into production)
## 4809 <NA>
## 4810 We are exploring ML methods (and may one day put a model into production)
## 4811 We use ML methods for generating insights (but do not put working models into production)
## 4812 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4813 We are exploring ML methods (and may one day put a model into production)
## 4814 We have well established ML methods (i.e., models in production for more than 2 years)
## 4815 <NA>
## 4816 We have well established ML methods (i.e., models in production for more than 2 years)
## 4817 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4818 We have well established ML methods (i.e., models in production for more than 2 years)
## 4819 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4820 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4821 <NA>
## 4822 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4823 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4824 We have well established ML methods (i.e., models in production for more than 2 years)
## 4825 We have well established ML methods (i.e., models in production for more than 2 years)
## 4826 We have well established ML methods (i.e., models in production for more than 2 years)
## 4827 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4828 We have well established ML methods (i.e., models in production for more than 2 years)
## 4829 <NA>
## 4830 <NA>
## 4831 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4832 No (we do not use ML methods)
## 4833 No (we do not use ML methods)
## 4834 <NA>
## 4835 We have well established ML methods (i.e., models in production for more than 2 years)
## 4836 We are exploring ML methods (and may one day put a model into production)
## 4837 We use ML methods for generating insights (but do not put working models into production)
## 4838 <NA>
## 4839 We are exploring ML methods (and may one day put a model into production)
## 4840 We are exploring ML methods (and may one day put a model into production)
## 4841 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4842 We use ML methods for generating insights (but do not put working models into production)
## 4843 We have well established ML methods (i.e., models in production for more than 2 years)
## 4844 We have well established ML methods (i.e., models in production for more than 2 years)
## 4845 We are exploring ML methods (and may one day put a model into production)
## 4846 We have well established ML methods (i.e., models in production for more than 2 years)
## 4847 No (we do not use ML methods)
## 4848 No (we do not use ML methods)
## 4849 We have well established ML methods (i.e., models in production for more than 2 years)
## 4850 We are exploring ML methods (and may one day put a model into production)
## 4851 No (we do not use ML methods)
## 4852 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4853 No (we do not use ML methods)
## 4854 We have well established ML methods (i.e., models in production for more than 2 years)
## 4855 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4856 We are exploring ML methods (and may one day put a model into production)
## 4857 We use ML methods for generating insights (but do not put working models into production)
## 4858 We have well established ML methods (i.e., models in production for more than 2 years)
## 4859 We use ML methods for generating insights (but do not put working models into production)
## 4860 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4861 No (we do not use ML methods)
## 4862 <NA>
## 4863 We have well established ML methods (i.e., models in production for more than 2 years)
## 4864 We have well established ML methods (i.e., models in production for more than 2 years)
## 4865 <NA>
## 4866 No (we do not use ML methods)
## 4867 We have well established ML methods (i.e., models in production for more than 2 years)
## 4868 <NA>
## 4869 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4870 No (we do not use ML methods)
## 4871 We have well established ML methods (i.e., models in production for more than 2 years)
## 4872 We use ML methods for generating insights (but do not put working models into production)
## 4873 We are exploring ML methods (and may one day put a model into production)
## 4874 We have well established ML methods (i.e., models in production for more than 2 years)
## 4875 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4876 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4877 <NA>
## 4878 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4879 <NA>
## 4880 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4881 I do not know
## 4882 <NA>
## 4883 <NA>
## 4884 We have well established ML methods (i.e., models in production for more than 2 years)
## 4885 <NA>
## 4886 I do not know
## 4887 No (we do not use ML methods)
## 4888 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4889 We have well established ML methods (i.e., models in production for more than 2 years)
## 4890 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4891 We use ML methods for generating insights (but do not put working models into production)
## 4892 We use ML methods for generating insights (but do not put working models into production)
## 4893 <NA>
## 4894 <NA>
## 4895 No (we do not use ML methods)
## 4896 We use ML methods for generating insights (but do not put working models into production)
## 4897 <NA>
## 4898 <NA>
## 4899 We have well established ML methods (i.e., models in production for more than 2 years)
## 4900 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4901 We have well established ML methods (i.e., models in production for more than 2 years)
## 4902 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4903 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4904 <NA>
## 4905 We have well established ML methods (i.e., models in production for more than 2 years)
## 4906 We are exploring ML methods (and may one day put a model into production)
## 4907 We have well established ML methods (i.e., models in production for more than 2 years)
## 4908 <NA>
## 4909 We are exploring ML methods (and may one day put a model into production)
## 4910 <NA>
## 4911 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4912 No (we do not use ML methods)
## 4913 <NA>
## 4914 We have well established ML methods (i.e., models in production for more than 2 years)
## 4915 We are exploring ML methods (and may one day put a model into production)
## 4916 We have well established ML methods (i.e., models in production for more than 2 years)
## 4917 No (we do not use ML methods)
## 4918 No (we do not use ML methods)
## 4919 I do not know
## 4920 We have well established ML methods (i.e., models in production for more than 2 years)
## 4921 No (we do not use ML methods)
## 4922 No (we do not use ML methods)
## 4923 We have well established ML methods (i.e., models in production for more than 2 years)
## 4924 We are exploring ML methods (and may one day put a model into production)
## 4925 <NA>
## 4926 We have well established ML methods (i.e., models in production for more than 2 years)
## 4927 We are exploring ML methods (and may one day put a model into production)
## 4928 We have well established ML methods (i.e., models in production for more than 2 years)
## 4929 No (we do not use ML methods)
## 4930 We are exploring ML methods (and may one day put a model into production)
## 4931 No (we do not use ML methods)
## 4932 No (we do not use ML methods)
## 4933 We use ML methods for generating insights (but do not put working models into production)
## 4934 We have well established ML methods (i.e., models in production for more than 2 years)
## 4935 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4936 I do not know
## 4937 We are exploring ML methods (and may one day put a model into production)
## 4938 <NA>
## 4939 <NA>
## 4940 <NA>
## 4941 No (we do not use ML methods)
## 4942 We have well established ML methods (i.e., models in production for more than 2 years)
## 4943 No (we do not use ML methods)
## 4944 We use ML methods for generating insights (but do not put working models into production)
## 4945 I do not know
## 4946 We are exploring ML methods (and may one day put a model into production)
## 4947 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4948 I do not know
## 4949 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4950 We are exploring ML methods (and may one day put a model into production)
## 4951 We use ML methods for generating insights (but do not put working models into production)
## 4952 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4953 No (we do not use ML methods)
## 4954 We have well established ML methods (i.e., models in production for more than 2 years)
## 4955 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4956 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4957 <NA>
## 4958 <NA>
## 4959 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4960 I do not know
## 4961 We are exploring ML methods (and may one day put a model into production)
## 4962 No (we do not use ML methods)
## 4963 We have well established ML methods (i.e., models in production for more than 2 years)
## 4964 <NA>
## 4965 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4966 We are exploring ML methods (and may one day put a model into production)
## 4967 We are exploring ML methods (and may one day put a model into production)
## 4968 We are exploring ML methods (and may one day put a model into production)
## 4969 We use ML methods for generating insights (but do not put working models into production)
## 4970 I do not know
## 4971 <NA>
## 4972 <NA>
## 4973 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4974 We have well established ML methods (i.e., models in production for more than 2 years)
## 4975 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4976 We have well established ML methods (i.e., models in production for more than 2 years)
## 4977 I do not know
## 4978 We have well established ML methods (i.e., models in production for more than 2 years)
## 4979 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4980 We are exploring ML methods (and may one day put a model into production)
## 4981 We have well established ML methods (i.e., models in production for more than 2 years)
## 4982 No (we do not use ML methods)
## 4983 We are exploring ML methods (and may one day put a model into production)
## 4984 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4985 <NA>
## 4986 I do not know
## 4987 No (we do not use ML methods)
## 4988 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4989 We have well established ML methods (i.e., models in production for more than 2 years)
## 4990 No (we do not use ML methods)
## 4991 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4992 We are exploring ML methods (and may one day put a model into production)
## 4993 No (we do not use ML methods)
## 4994 We use ML methods for generating insights (but do not put working models into production)
## 4995 We have well established ML methods (i.e., models in production for more than 2 years)
## 4996 We have well established ML methods (i.e., models in production for more than 2 years)
## 4997 We recently started using ML methods (i.e., models in production for less than 2 years)
## 4998 No (we do not use ML methods)
## 4999 No (we do not use ML methods)
## 5000 We are exploring ML methods (and may one day put a model into production)
## 5001 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5002 We have well established ML methods (i.e., models in production for more than 2 years)
## 5003 We are exploring ML methods (and may one day put a model into production)
## 5004 We have well established ML methods (i.e., models in production for more than 2 years)
## 5005 <NA>
## 5006 We are exploring ML methods (and may one day put a model into production)
## 5007 We use ML methods for generating insights (but do not put working models into production)
## 5008 We have well established ML methods (i.e., models in production for more than 2 years)
## 5009 I do not know
## 5010 We have well established ML methods (i.e., models in production for more than 2 years)
## 5011 We are exploring ML methods (and may one day put a model into production)
## 5012 We use ML methods for generating insights (but do not put working models into production)
## 5013 We use ML methods for generating insights (but do not put working models into production)
## 5014 We use ML methods for generating insights (but do not put working models into production)
## 5015 We have well established ML methods (i.e., models in production for more than 2 years)
## 5016 <NA>
## 5017 <NA>
## 5018 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5019 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5020 We have well established ML methods (i.e., models in production for more than 2 years)
## 5021 We are exploring ML methods (and may one day put a model into production)
## 5022 <NA>
## 5023 We have well established ML methods (i.e., models in production for more than 2 years)
## 5024 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5025 <NA>
## 5026 <NA>
## 5027 We have well established ML methods (i.e., models in production for more than 2 years)
## 5028 We have well established ML methods (i.e., models in production for more than 2 years)
## 5029 We use ML methods for generating insights (but do not put working models into production)
## 5030 We are exploring ML methods (and may one day put a model into production)
## 5031 We have well established ML methods (i.e., models in production for more than 2 years)
## 5032 No (we do not use ML methods)
## 5033 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5034 <NA>
## 5035 We are exploring ML methods (and may one day put a model into production)
## 5036 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5037 <NA>
## 5038 I do not know
## 5039 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5040 No (we do not use ML methods)
## 5041 No (we do not use ML methods)
## 5042 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5043 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5044 <NA>
## 5045 I do not know
## 5046 <NA>
## 5047 <NA>
## 5048 <NA>
## 5049 I do not know
## 5050 We use ML methods for generating insights (but do not put working models into production)
## 5051 We have well established ML methods (i.e., models in production for more than 2 years)
## 5052 We have well established ML methods (i.e., models in production for more than 2 years)
## 5053 <NA>
## 5054 We use ML methods for generating insights (but do not put working models into production)
## 5055 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5056 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5057 We have well established ML methods (i.e., models in production for more than 2 years)
## 5058 No (we do not use ML methods)
## 5059 We have well established ML methods (i.e., models in production for more than 2 years)
## 5060 We are exploring ML methods (and may one day put a model into production)
## 5061 <NA>
## 5062 I do not know
## 5063 <NA>
## 5064 We use ML methods for generating insights (but do not put working models into production)
## 5065 <NA>
## 5066 <NA>
## 5067 We have well established ML methods (i.e., models in production for more than 2 years)
## 5068 No (we do not use ML methods)
## 5069 We have well established ML methods (i.e., models in production for more than 2 years)
## 5070 <NA>
## 5071 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5072 We use ML methods for generating insights (but do not put working models into production)
## 5073 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5074 <NA>
## 5075 We use ML methods for generating insights (but do not put working models into production)
## 5076 <NA>
## 5077 We are exploring ML methods (and may one day put a model into production)
## 5078 <NA>
## 5079 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5080 <NA>
## 5081 We are exploring ML methods (and may one day put a model into production)
## 5082 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5083 <NA>
## 5084 <NA>
## 5085 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5086 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5087 <NA>
## 5088 <NA>
## 5089 We have well established ML methods (i.e., models in production for more than 2 years)
## 5090 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5091 <NA>
## 5092 No (we do not use ML methods)
## 5093 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5094 <NA>
## 5095 I do not know
## 5096 We are exploring ML methods (and may one day put a model into production)
## 5097 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5098 We have well established ML methods (i.e., models in production for more than 2 years)
## 5099 We are exploring ML methods (and may one day put a model into production)
## 5100 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5101 <NA>
## 5102 I do not know
## 5103 We are exploring ML methods (and may one day put a model into production)
## 5104 We have well established ML methods (i.e., models in production for more than 2 years)
## 5105 We are exploring ML methods (and may one day put a model into production)
## 5106 We are exploring ML methods (and may one day put a model into production)
## 5107 We are exploring ML methods (and may one day put a model into production)
## 5108 We have well established ML methods (i.e., models in production for more than 2 years)
## 5109 We use ML methods for generating insights (but do not put working models into production)
## 5110 We are exploring ML methods (and may one day put a model into production)
## 5111 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5112 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5113 We have well established ML methods (i.e., models in production for more than 2 years)
## 5114 No (we do not use ML methods)
## 5115 We have well established ML methods (i.e., models in production for more than 2 years)
## 5116 We are exploring ML methods (and may one day put a model into production)
## 5117 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5118 No (we do not use ML methods)
## 5119 <NA>
## 5120 I do not know
## 5121 <NA>
## 5122 <NA>
## 5123 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5124 We are exploring ML methods (and may one day put a model into production)
## 5125 No (we do not use ML methods)
## 5126 We have well established ML methods (i.e., models in production for more than 2 years)
## 5127 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5128 No (we do not use ML methods)
## 5129 No (we do not use ML methods)
## 5130 We use ML methods for generating insights (but do not put working models into production)
## 5131 We are exploring ML methods (and may one day put a model into production)
## 5132 We are exploring ML methods (and may one day put a model into production)
## 5133 <NA>
## 5134 We have well established ML methods (i.e., models in production for more than 2 years)
## 5135 We are exploring ML methods (and may one day put a model into production)
## 5136 We have well established ML methods (i.e., models in production for more than 2 years)
## 5137 <NA>
## 5138 <NA>
## 5139 We have well established ML methods (i.e., models in production for more than 2 years)
## 5140 We are exploring ML methods (and may one day put a model into production)
## 5141 <NA>
## 5142 <NA>
## 5143 No (we do not use ML methods)
## 5144 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5145 <NA>
## 5146 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5147 We use ML methods for generating insights (but do not put working models into production)
## 5148 We have well established ML methods (i.e., models in production for more than 2 years)
## 5149 We are exploring ML methods (and may one day put a model into production)
## 5150 <NA>
## 5151 We have well established ML methods (i.e., models in production for more than 2 years)
## 5152 We are exploring ML methods (and may one day put a model into production)
## 5153 No (we do not use ML methods)
## 5154 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5155 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5156 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5157 I do not know
## 5158 I do not know
## 5159 <NA>
## 5160 No (we do not use ML methods)
## 5161 No (we do not use ML methods)
## 5162 I do not know
## 5163 I do not know
## 5164 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5165 I do not know
## 5166 We use ML methods for generating insights (but do not put working models into production)
## 5167 We use ML methods for generating insights (but do not put working models into production)
## 5168 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5169 No (we do not use ML methods)
## 5170 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5171 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5172 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5173 We have well established ML methods (i.e., models in production for more than 2 years)
## 5174 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5175 We are exploring ML methods (and may one day put a model into production)
## 5176 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5177 <NA>
## 5178 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5179 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5180 We are exploring ML methods (and may one day put a model into production)
## 5181 We have well established ML methods (i.e., models in production for more than 2 years)
## 5182 No (we do not use ML methods)
## 5183 We have well established ML methods (i.e., models in production for more than 2 years)
## 5184 I do not know
## 5185 We have well established ML methods (i.e., models in production for more than 2 years)
## 5186 We have well established ML methods (i.e., models in production for more than 2 years)
## 5187 No (we do not use ML methods)
## 5188 <NA>
## 5189 <NA>
## 5190 We use ML methods for generating insights (but do not put working models into production)
## 5191 No (we do not use ML methods)
## 5192 <NA>
## 5193 We use ML methods for generating insights (but do not put working models into production)
## 5194 We have well established ML methods (i.e., models in production for more than 2 years)
## 5195 We have well established ML methods (i.e., models in production for more than 2 years)
## 5196 <NA>
## 5197 We have well established ML methods (i.e., models in production for more than 2 years)
## 5198 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5199 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5200 No (we do not use ML methods)
## 5201 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5202 <NA>
## 5203 We are exploring ML methods (and may one day put a model into production)
## 5204 We have well established ML methods (i.e., models in production for more than 2 years)
## 5205 We are exploring ML methods (and may one day put a model into production)
## 5206 We are exploring ML methods (and may one day put a model into production)
## 5207 We have well established ML methods (i.e., models in production for more than 2 years)
## 5208 <NA>
## 5209 We are exploring ML methods (and may one day put a model into production)
## 5210 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5211 We use ML methods for generating insights (but do not put working models into production)
## 5212 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5213 No (we do not use ML methods)
## 5214 We have well established ML methods (i.e., models in production for more than 2 years)
## 5215 No (we do not use ML methods)
## 5216 We have well established ML methods (i.e., models in production for more than 2 years)
## 5217 <NA>
## 5218 I do not know
## 5219 No (we do not use ML methods)
## 5220 No (we do not use ML methods)
## 5221 We have well established ML methods (i.e., models in production for more than 2 years)
## 5222 No (we do not use ML methods)
## 5223 We are exploring ML methods (and may one day put a model into production)
## 5224 We are exploring ML methods (and may one day put a model into production)
## 5225 <NA>
## 5226 We have well established ML methods (i.e., models in production for more than 2 years)
## 5227 We are exploring ML methods (and may one day put a model into production)
## 5228 We have well established ML methods (i.e., models in production for more than 2 years)
## 5229 <NA>
## 5230 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5231 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5232 We use ML methods for generating insights (but do not put working models into production)
## 5233 We have well established ML methods (i.e., models in production for more than 2 years)
## 5234 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5235 We use ML methods for generating insights (but do not put working models into production)
## 5236 We have well established ML methods (i.e., models in production for more than 2 years)
## 5237 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5238 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5239 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5240 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5241 We are exploring ML methods (and may one day put a model into production)
## 5242 We use ML methods for generating insights (but do not put working models into production)
## 5243 We use ML methods for generating insights (but do not put working models into production)
## 5244 We have well established ML methods (i.e., models in production for more than 2 years)
## 5245 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5246 We have well established ML methods (i.e., models in production for more than 2 years)
## 5247 <NA>
## 5248 <NA>
## 5249 <NA>
## 5250 We are exploring ML methods (and may one day put a model into production)
## 5251 I do not know
## 5252 I do not know
## 5253 No (we do not use ML methods)
## 5254 We are exploring ML methods (and may one day put a model into production)
## 5255 We are exploring ML methods (and may one day put a model into production)
## 5256 We are exploring ML methods (and may one day put a model into production)
## 5257 No (we do not use ML methods)
## 5258 I do not know
## 5259 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5260 <NA>
## 5261 <NA>
## 5262 We use ML methods for generating insights (but do not put working models into production)
## 5263 We have well established ML methods (i.e., models in production for more than 2 years)
## 5264 We have well established ML methods (i.e., models in production for more than 2 years)
## 5265 We are exploring ML methods (and may one day put a model into production)
## 5266 We are exploring ML methods (and may one day put a model into production)
## 5267 We are exploring ML methods (and may one day put a model into production)
## 5268 We have well established ML methods (i.e., models in production for more than 2 years)
## 5269 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5270 We are exploring ML methods (and may one day put a model into production)
## 5271 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5272 We use ML methods for generating insights (but do not put working models into production)
## 5273 <NA>
## 5274 We have well established ML methods (i.e., models in production for more than 2 years)
## 5275 We have well established ML methods (i.e., models in production for more than 2 years)
## 5276 <NA>
## 5277 We use ML methods for generating insights (but do not put working models into production)
## 5278 <NA>
## 5279 <NA>
## 5280 No (we do not use ML methods)
## 5281 <NA>
## 5282 We use ML methods for generating insights (but do not put working models into production)
## 5283 No (we do not use ML methods)
## 5284 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5285 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5286 I do not know
## 5287 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5288 <NA>
## 5289 No (we do not use ML methods)
## 5290 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5291 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5292 We have well established ML methods (i.e., models in production for more than 2 years)
## 5293 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5294 <NA>
## 5295 We use ML methods for generating insights (but do not put working models into production)
## 5296 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5297 We use ML methods for generating insights (but do not put working models into production)
## 5298 We have well established ML methods (i.e., models in production for more than 2 years)
## 5299 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5300 No (we do not use ML methods)
## 5301 <NA>
## 5302 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5303 We have well established ML methods (i.e., models in production for more than 2 years)
## 5304 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5305 <NA>
## 5306 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5307 No (we do not use ML methods)
## 5308 <NA>
## 5309 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5310 We are exploring ML methods (and may one day put a model into production)
## 5311 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5312 I do not know
## 5313 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5314 No (we do not use ML methods)
## 5315 We have well established ML methods (i.e., models in production for more than 2 years)
## 5316 We use ML methods for generating insights (but do not put working models into production)
## 5317 We use ML methods for generating insights (but do not put working models into production)
## 5318 We are exploring ML methods (and may one day put a model into production)
## 5319 <NA>
## 5320 <NA>
## 5321 We are exploring ML methods (and may one day put a model into production)
## 5322 <NA>
## 5323 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5324 We are exploring ML methods (and may one day put a model into production)
## 5325 We have well established ML methods (i.e., models in production for more than 2 years)
## 5326 We have well established ML methods (i.e., models in production for more than 2 years)
## 5327 We use ML methods for generating insights (but do not put working models into production)
## 5328 <NA>
## 5329 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5330 We have well established ML methods (i.e., models in production for more than 2 years)
## 5331 No (we do not use ML methods)
## 5332 We are exploring ML methods (and may one day put a model into production)
## 5333 <NA>
## 5334 We are exploring ML methods (and may one day put a model into production)
## 5335 I do not know
## 5336 No (we do not use ML methods)
## 5337 <NA>
## 5338 We use ML methods for generating insights (but do not put working models into production)
## 5339 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5340 We are exploring ML methods (and may one day put a model into production)
## 5341 We are exploring ML methods (and may one day put a model into production)
## 5342 We have well established ML methods (i.e., models in production for more than 2 years)
## 5343 <NA>
## 5344 We have well established ML methods (i.e., models in production for more than 2 years)
## 5345 I do not know
## 5346 We are exploring ML methods (and may one day put a model into production)
## 5347 I do not know
## 5348 No (we do not use ML methods)
## 5349 <NA>
## 5350 We have well established ML methods (i.e., models in production for more than 2 years)
## 5351 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5352 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5353 <NA>
## 5354 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5355 We use ML methods for generating insights (but do not put working models into production)
## 5356 We have well established ML methods (i.e., models in production for more than 2 years)
## 5357 We have well established ML methods (i.e., models in production for more than 2 years)
## 5358 We are exploring ML methods (and may one day put a model into production)
## 5359 We have well established ML methods (i.e., models in production for more than 2 years)
## 5360 No (we do not use ML methods)
## 5361 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5362 <NA>
## 5363 I do not know
## 5364 <NA>
## 5365 <NA>
## 5366 We have well established ML methods (i.e., models in production for more than 2 years)
## 5367 No (we do not use ML methods)
## 5368 <NA>
## 5369 No (we do not use ML methods)
## 5370 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5371 No (we do not use ML methods)
## 5372 We are exploring ML methods (and may one day put a model into production)
## 5373 <NA>
## 5374 We are exploring ML methods (and may one day put a model into production)
## 5375 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5376 <NA>
## 5377 <NA>
## 5378 <NA>
## 5379 We use ML methods for generating insights (but do not put working models into production)
## 5380 <NA>
## 5381 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5382 I do not know
## 5383 We are exploring ML methods (and may one day put a model into production)
## 5384 No (we do not use ML methods)
## 5385 We have well established ML methods (i.e., models in production for more than 2 years)
## 5386 We are exploring ML methods (and may one day put a model into production)
## 5387 We are exploring ML methods (and may one day put a model into production)
## 5388 No (we do not use ML methods)
## 5389 I do not know
## 5390 We have well established ML methods (i.e., models in production for more than 2 years)
## 5391 We have well established ML methods (i.e., models in production for more than 2 years)
## 5392 <NA>
## 5393 <NA>
## 5394 <NA>
## 5395 We are exploring ML methods (and may one day put a model into production)
## 5396 No (we do not use ML methods)
## 5397 No (we do not use ML methods)
## 5398 We have well established ML methods (i.e., models in production for more than 2 years)
## 5399 We are exploring ML methods (and may one day put a model into production)
## 5400 We are exploring ML methods (and may one day put a model into production)
## 5401 I do not know
## 5402 We use ML methods for generating insights (but do not put working models into production)
## 5403 I do not know
## 5404 We have well established ML methods (i.e., models in production for more than 2 years)
## 5405 We are exploring ML methods (and may one day put a model into production)
## 5406 <NA>
## 5407 <NA>
## 5408 We are exploring ML methods (and may one day put a model into production)
## 5409 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5410 We are exploring ML methods (and may one day put a model into production)
## 5411 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5412 We are exploring ML methods (and may one day put a model into production)
## 5413 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5414 <NA>
## 5415 I do not know
## 5416 We use ML methods for generating insights (but do not put working models into production)
## 5417 We use ML methods for generating insights (but do not put working models into production)
## 5418 No (we do not use ML methods)
## 5419 We are exploring ML methods (and may one day put a model into production)
## 5420 I do not know
## 5421 <NA>
## 5422 <NA>
## 5423 We use ML methods for generating insights (but do not put working models into production)
## 5424 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5425 We have well established ML methods (i.e., models in production for more than 2 years)
## 5426 We are exploring ML methods (and may one day put a model into production)
## 5427 <NA>
## 5428 No (we do not use ML methods)
## 5429 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5430 We use ML methods for generating insights (but do not put working models into production)
## 5431 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5432 We are exploring ML methods (and may one day put a model into production)
## 5433 We have well established ML methods (i.e., models in production for more than 2 years)
## 5434 <NA>
## 5435 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5436 We have well established ML methods (i.e., models in production for more than 2 years)
## 5437 <NA>
## 5438 We have well established ML methods (i.e., models in production for more than 2 years)
## 5439 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5440 No (we do not use ML methods)
## 5441 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5442 <NA>
## 5443 <NA>
## 5444 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5445 I do not know
## 5446 <NA>
## 5447 <NA>
## 5448 I do not know
## 5449 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5450 We have well established ML methods (i.e., models in production for more than 2 years)
## 5451 We use ML methods for generating insights (but do not put working models into production)
## 5452 We have well established ML methods (i.e., models in production for more than 2 years)
## 5453 No (we do not use ML methods)
## 5454 We have well established ML methods (i.e., models in production for more than 2 years)
## 5455 We have well established ML methods (i.e., models in production for more than 2 years)
## 5456 No (we do not use ML methods)
## 5457 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5458 We are exploring ML methods (and may one day put a model into production)
## 5459 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5460 We use ML methods for generating insights (but do not put working models into production)
## 5461 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5462 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5463 <NA>
## 5464 We are exploring ML methods (and may one day put a model into production)
## 5465 We have well established ML methods (i.e., models in production for more than 2 years)
## 5466 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5467 No (we do not use ML methods)
## 5468 <NA>
## 5469 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5470 We are exploring ML methods (and may one day put a model into production)
## 5471 No (we do not use ML methods)
## 5472 <NA>
## 5473 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5474 <NA>
## 5475 We have well established ML methods (i.e., models in production for more than 2 years)
## 5476 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5477 No (we do not use ML methods)
## 5478 We are exploring ML methods (and may one day put a model into production)
## 5479 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5480 We are exploring ML methods (and may one day put a model into production)
## 5481 We have well established ML methods (i.e., models in production for more than 2 years)
## 5482 We are exploring ML methods (and may one day put a model into production)
## 5483 No (we do not use ML methods)
## 5484 <NA>
## 5485 No (we do not use ML methods)
## 5486 <NA>
## 5487 We use ML methods for generating insights (but do not put working models into production)
## 5488 We are exploring ML methods (and may one day put a model into production)
## 5489 We are exploring ML methods (and may one day put a model into production)
## 5490 No (we do not use ML methods)
## 5491 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5492 I do not know
## 5493 I do not know
## 5494 We use ML methods for generating insights (but do not put working models into production)
## 5495 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5496 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5497 We are exploring ML methods (and may one day put a model into production)
## 5498 We are exploring ML methods (and may one day put a model into production)
## 5499 <NA>
## 5500 <NA>
## 5501 <NA>
## 5502 We have well established ML methods (i.e., models in production for more than 2 years)
## 5503 We are exploring ML methods (and may one day put a model into production)
## 5504 We have well established ML methods (i.e., models in production for more than 2 years)
## 5505 We use ML methods for generating insights (but do not put working models into production)
## 5506 No (we do not use ML methods)
## 5507 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5508 We are exploring ML methods (and may one day put a model into production)
## 5509 No (we do not use ML methods)
## 5510 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5511 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5512 No (we do not use ML methods)
## 5513 <NA>
## 5514 <NA>
## 5515 No (we do not use ML methods)
## 5516 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5517 We have well established ML methods (i.e., models in production for more than 2 years)
## 5518 We are exploring ML methods (and may one day put a model into production)
## 5519 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5520 We have well established ML methods (i.e., models in production for more than 2 years)
## 5521 No (we do not use ML methods)
## 5522 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5523 No (we do not use ML methods)
## 5524 <NA>
## 5525 We are exploring ML methods (and may one day put a model into production)
## 5526 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5527 <NA>
## 5528 I do not know
## 5529 <NA>
## 5530 No (we do not use ML methods)
## 5531 <NA>
## 5532 <NA>
## 5533 We have well established ML methods (i.e., models in production for more than 2 years)
## 5534 No (we do not use ML methods)
## 5535 We are exploring ML methods (and may one day put a model into production)
## 5536 We have well established ML methods (i.e., models in production for more than 2 years)
## 5537 We use ML methods for generating insights (but do not put working models into production)
## 5538 We have well established ML methods (i.e., models in production for more than 2 years)
## 5539 <NA>
## 5540 <NA>
## 5541 We use ML methods for generating insights (but do not put working models into production)
## 5542 I do not know
## 5543 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5544 No (we do not use ML methods)
## 5545 We are exploring ML methods (and may one day put a model into production)
## 5546 <NA>
## 5547 No (we do not use ML methods)
## 5548 We are exploring ML methods (and may one day put a model into production)
## 5549 I do not know
## 5550 We are exploring ML methods (and may one day put a model into production)
## 5551 No (we do not use ML methods)
## 5552 <NA>
## 5553 We have well established ML methods (i.e., models in production for more than 2 years)
## 5554 <NA>
## 5555 No (we do not use ML methods)
## 5556 <NA>
## 5557 We have well established ML methods (i.e., models in production for more than 2 years)
## 5558 We use ML methods for generating insights (but do not put working models into production)
## 5559 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5560 <NA>
## 5561 <NA>
## 5562 We have well established ML methods (i.e., models in production for more than 2 years)
## 5563 We are exploring ML methods (and may one day put a model into production)
## 5564 <NA>
## 5565 I do not know
## 5566 No (we do not use ML methods)
## 5567 We have well established ML methods (i.e., models in production for more than 2 years)
## 5568 <NA>
## 5569 <NA>
## 5570 No (we do not use ML methods)
## 5571 <NA>
## 5572 We have well established ML methods (i.e., models in production for more than 2 years)
## 5573 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5574 We are exploring ML methods (and may one day put a model into production)
## 5575 We use ML methods for generating insights (but do not put working models into production)
## 5576 We have well established ML methods (i.e., models in production for more than 2 years)
## 5577 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5578 <NA>
## 5579 <NA>
## 5580 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5581 No (we do not use ML methods)
## 5582 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5583 <NA>
## 5584 <NA>
## 5585 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5586 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5587 No (we do not use ML methods)
## 5588 No (we do not use ML methods)
## 5589 We have well established ML methods (i.e., models in production for more than 2 years)
## 5590 No (we do not use ML methods)
## 5591 No (we do not use ML methods)
## 5592 <NA>
## 5593 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5594 <NA>
## 5595 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5596 We use ML methods for generating insights (but do not put working models into production)
## 5597 We are exploring ML methods (and may one day put a model into production)
## 5598 <NA>
## 5599 <NA>
## 5600 No (we do not use ML methods)
## 5601 <NA>
## 5602 We have well established ML methods (i.e., models in production for more than 2 years)
## 5603 We use ML methods for generating insights (but do not put working models into production)
## 5604 We have well established ML methods (i.e., models in production for more than 2 years)
## 5605 <NA>
## 5606 We are exploring ML methods (and may one day put a model into production)
## 5607 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5608 <NA>
## 5609 We are exploring ML methods (and may one day put a model into production)
## 5610 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5611 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5612 <NA>
## 5613 We are exploring ML methods (and may one day put a model into production)
## 5614 We are exploring ML methods (and may one day put a model into production)
## 5615 We are exploring ML methods (and may one day put a model into production)
## 5616 We are exploring ML methods (and may one day put a model into production)
## 5617 <NA>
## 5618 <NA>
## 5619 <NA>
## 5620 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5621 <NA>
## 5622 We have well established ML methods (i.e., models in production for more than 2 years)
## 5623 We use ML methods for generating insights (but do not put working models into production)
## 5624 <NA>
## 5625 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5626 I do not know
## 5627 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5628 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5629 We have well established ML methods (i.e., models in production for more than 2 years)
## 5630 <NA>
## 5631 We are exploring ML methods (and may one day put a model into production)
## 5632 <NA>
## 5633 No (we do not use ML methods)
## 5634 We are exploring ML methods (and may one day put a model into production)
## 5635 We have well established ML methods (i.e., models in production for more than 2 years)
## 5636 <NA>
## 5637 <NA>
## 5638 We have well established ML methods (i.e., models in production for more than 2 years)
## 5639 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5640 No (we do not use ML methods)
## 5641 We use ML methods for generating insights (but do not put working models into production)
## 5642 No (we do not use ML methods)
## 5643 <NA>
## 5644 <NA>
## 5645 We are exploring ML methods (and may one day put a model into production)
## 5646 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5647 We use ML methods for generating insights (but do not put working models into production)
## 5648 <NA>
## 5649 <NA>
## 5650 <NA>
## 5651 We have well established ML methods (i.e., models in production for more than 2 years)
## 5652 We have well established ML methods (i.e., models in production for more than 2 years)
## 5653 <NA>
## 5654 No (we do not use ML methods)
## 5655 We are exploring ML methods (and may one day put a model into production)
## 5656 No (we do not use ML methods)
## 5657 <NA>
## 5658 <NA>
## 5659 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5660 I do not know
## 5661 No (we do not use ML methods)
## 5662 We are exploring ML methods (and may one day put a model into production)
## 5663 We use ML methods for generating insights (but do not put working models into production)
## 5664 We have well established ML methods (i.e., models in production for more than 2 years)
## 5665 We have well established ML methods (i.e., models in production for more than 2 years)
## 5666 <NA>
## 5667 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5668 I do not know
## 5669 We are exploring ML methods (and may one day put a model into production)
## 5670 We have well established ML methods (i.e., models in production for more than 2 years)
## 5671 No (we do not use ML methods)
## 5672 <NA>
## 5673 We have well established ML methods (i.e., models in production for more than 2 years)
## 5674 We are exploring ML methods (and may one day put a model into production)
## 5675 We are exploring ML methods (and may one day put a model into production)
## 5676 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5677 <NA>
## 5678 We are exploring ML methods (and may one day put a model into production)
## 5679 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5680 <NA>
## 5681 <NA>
## 5682 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5683 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5684 No (we do not use ML methods)
## 5685 I do not know
## 5686 <NA>
## 5687 We have well established ML methods (i.e., models in production for more than 2 years)
## 5688 I do not know
## 5689 No (we do not use ML methods)
## 5690 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5691 No (we do not use ML methods)
## 5692 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5693 <NA>
## 5694 <NA>
## 5695 I do not know
## 5696 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5697 We have well established ML methods (i.e., models in production for more than 2 years)
## 5698 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5699 We are exploring ML methods (and may one day put a model into production)
## 5700 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5701 <NA>
## 5702 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5703 <NA>
## 5704 I do not know
## 5705 No (we do not use ML methods)
## 5706 No (we do not use ML methods)
## 5707 I do not know
## 5708 We have well established ML methods (i.e., models in production for more than 2 years)
## 5709 We are exploring ML methods (and may one day put a model into production)
## 5710 No (we do not use ML methods)
## 5711 We are exploring ML methods (and may one day put a model into production)
## 5712 I do not know
## 5713 We have well established ML methods (i.e., models in production for more than 2 years)
## 5714 We use ML methods for generating insights (but do not put working models into production)
## 5715 We have well established ML methods (i.e., models in production for more than 2 years)
## 5716 We are exploring ML methods (and may one day put a model into production)
## 5717 We have well established ML methods (i.e., models in production for more than 2 years)
## 5718 No (we do not use ML methods)
## 5719 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5720 <NA>
## 5721 <NA>
## 5722 We use ML methods for generating insights (but do not put working models into production)
## 5723 I do not know
## 5724 No (we do not use ML methods)
## 5725 <NA>
## 5726 <NA>
## 5727 We are exploring ML methods (and may one day put a model into production)
## 5728 <NA>
## 5729 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5730 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5731 We use ML methods for generating insights (but do not put working models into production)
## 5732 <NA>
## 5733 We have well established ML methods (i.e., models in production for more than 2 years)
## 5734 I do not know
## 5735 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5736 We are exploring ML methods (and may one day put a model into production)
## 5737 We are exploring ML methods (and may one day put a model into production)
## 5738 I do not know
## 5739 We are exploring ML methods (and may one day put a model into production)
## 5740 We are exploring ML methods (and may one day put a model into production)
## 5741 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5742 <NA>
## 5743 We have well established ML methods (i.e., models in production for more than 2 years)
## 5744 No (we do not use ML methods)
## 5745 <NA>
## 5746 I do not know
## 5747 <NA>
## 5748 <NA>
## 5749 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5750 We are exploring ML methods (and may one day put a model into production)
## 5751 <NA>
## 5752 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5753 I do not know
## 5754 No (we do not use ML methods)
## 5755 <NA>
## 5756 <NA>
## 5757 We have well established ML methods (i.e., models in production for more than 2 years)
## 5758 No (we do not use ML methods)
## 5759 We use ML methods for generating insights (but do not put working models into production)
## 5760 <NA>
## 5761 <NA>
## 5762 We have well established ML methods (i.e., models in production for more than 2 years)
## 5763 <NA>
## 5764 <NA>
## 5765 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5766 We have well established ML methods (i.e., models in production for more than 2 years)
## 5767 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5768 <NA>
## 5769 <NA>
## 5770 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5771 We use ML methods for generating insights (but do not put working models into production)
## 5772 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5773 We have well established ML methods (i.e., models in production for more than 2 years)
## 5774 We are exploring ML methods (and may one day put a model into production)
## 5775 No (we do not use ML methods)
## 5776 We are exploring ML methods (and may one day put a model into production)
## 5777 We are exploring ML methods (and may one day put a model into production)
## 5778 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5779 <NA>
## 5780 We have well established ML methods (i.e., models in production for more than 2 years)
## 5781 We are exploring ML methods (and may one day put a model into production)
## 5782 We have well established ML methods (i.e., models in production for more than 2 years)
## 5783 I do not know
## 5784 We have well established ML methods (i.e., models in production for more than 2 years)
## 5785 <NA>
## 5786 We are exploring ML methods (and may one day put a model into production)
## 5787 <NA>
## 5788 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5789 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5790 <NA>
## 5791 We have well established ML methods (i.e., models in production for more than 2 years)
## 5792 <NA>
## 5793 <NA>
## 5794 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5795 We use ML methods for generating insights (but do not put working models into production)
## 5796 We use ML methods for generating insights (but do not put working models into production)
## 5797 <NA>
## 5798 We use ML methods for generating insights (but do not put working models into production)
## 5799 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5800 We are exploring ML methods (and may one day put a model into production)
## 5801 We use ML methods for generating insights (but do not put working models into production)
## 5802 <NA>
## 5803 <NA>
## 5804 We are exploring ML methods (and may one day put a model into production)
## 5805 We use ML methods for generating insights (but do not put working models into production)
## 5806 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5807 We have well established ML methods (i.e., models in production for more than 2 years)
## 5808 No (we do not use ML methods)
## 5809 We are exploring ML methods (and may one day put a model into production)
## 5810 We are exploring ML methods (and may one day put a model into production)
## 5811 I do not know
## 5812 <NA>
## 5813 We are exploring ML methods (and may one day put a model into production)
## 5814 We have well established ML methods (i.e., models in production for more than 2 years)
## 5815 We have well established ML methods (i.e., models in production for more than 2 years)
## 5816 We are exploring ML methods (and may one day put a model into production)
## 5817 We have well established ML methods (i.e., models in production for more than 2 years)
## 5818 We have well established ML methods (i.e., models in production for more than 2 years)
## 5819 <NA>
## 5820 We are exploring ML methods (and may one day put a model into production)
## 5821 We are exploring ML methods (and may one day put a model into production)
## 5822 We are exploring ML methods (and may one day put a model into production)
## 5823 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5824 We have well established ML methods (i.e., models in production for more than 2 years)
## 5825 I do not know
## 5826 We use ML methods for generating insights (but do not put working models into production)
## 5827 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5828 No (we do not use ML methods)
## 5829 No (we do not use ML methods)
## 5830 We are exploring ML methods (and may one day put a model into production)
## 5831 I do not know
## 5832 <NA>
## 5833 <NA>
## 5834 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5835 <NA>
## 5836 We have well established ML methods (i.e., models in production for more than 2 years)
## 5837 We are exploring ML methods (and may one day put a model into production)
## 5838 We are exploring ML methods (and may one day put a model into production)
## 5839 We are exploring ML methods (and may one day put a model into production)
## 5840 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5841 We use ML methods for generating insights (but do not put working models into production)
## 5842 We have well established ML methods (i.e., models in production for more than 2 years)
## 5843 We are exploring ML methods (and may one day put a model into production)
## 5844 I do not know
## 5845 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5846 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5847 We have well established ML methods (i.e., models in production for more than 2 years)
## 5848 <NA>
## 5849 I do not know
## 5850 <NA>
## 5851 <NA>
## 5852 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5853 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5854 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5855 <NA>
## 5856 <NA>
## 5857 No (we do not use ML methods)
## 5858 We use ML methods for generating insights (but do not put working models into production)
## 5859 <NA>
## 5860 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5861 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5862 I do not know
## 5863 We are exploring ML methods (and may one day put a model into production)
## 5864 I do not know
## 5865 <NA>
## 5866 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5867 <NA>
## 5868 We use ML methods for generating insights (but do not put working models into production)
## 5869 <NA>
## 5870 We have well established ML methods (i.e., models in production for more than 2 years)
## 5871 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5872 We are exploring ML methods (and may one day put a model into production)
## 5873 We use ML methods for generating insights (but do not put working models into production)
## 5874 <NA>
## 5875 We use ML methods for generating insights (but do not put working models into production)
## 5876 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5877 No (we do not use ML methods)
## 5878 We are exploring ML methods (and may one day put a model into production)
## 5879 We are exploring ML methods (and may one day put a model into production)
## 5880 We have well established ML methods (i.e., models in production for more than 2 years)
## 5881 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5882 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5883 We are exploring ML methods (and may one day put a model into production)
## 5884 We have well established ML methods (i.e., models in production for more than 2 years)
## 5885 We are exploring ML methods (and may one day put a model into production)
## 5886 <NA>
## 5887 We are exploring ML methods (and may one day put a model into production)
## 5888 We use ML methods for generating insights (but do not put working models into production)
## 5889 We are exploring ML methods (and may one day put a model into production)
## 5890 We use ML methods for generating insights (but do not put working models into production)
## 5891 We are exploring ML methods (and may one day put a model into production)
## 5892 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5893 We are exploring ML methods (and may one day put a model into production)
## 5894 We use ML methods for generating insights (but do not put working models into production)
## 5895 No (we do not use ML methods)
## 5896 <NA>
## 5897 <NA>
## 5898 We are exploring ML methods (and may one day put a model into production)
## 5899 <NA>
## 5900 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5901 We have well established ML methods (i.e., models in production for more than 2 years)
## 5902 We use ML methods for generating insights (but do not put working models into production)
## 5903 <NA>
## 5904 No (we do not use ML methods)
## 5905 <NA>
## 5906 We are exploring ML methods (and may one day put a model into production)
## 5907 We have well established ML methods (i.e., models in production for more than 2 years)
## 5908 We use ML methods for generating insights (but do not put working models into production)
## 5909 No (we do not use ML methods)
## 5910 We have well established ML methods (i.e., models in production for more than 2 years)
## 5911 No (we do not use ML methods)
## 5912 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5913 We use ML methods for generating insights (but do not put working models into production)
## 5914 We use ML methods for generating insights (but do not put working models into production)
## 5915 We have well established ML methods (i.e., models in production for more than 2 years)
## 5916 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5917 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5918 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5919 We are exploring ML methods (and may one day put a model into production)
## 5920 We have well established ML methods (i.e., models in production for more than 2 years)
## 5921 We are exploring ML methods (and may one day put a model into production)
## 5922 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5923 We are exploring ML methods (and may one day put a model into production)
## 5924 <NA>
## 5925 We are exploring ML methods (and may one day put a model into production)
## 5926 <NA>
## 5927 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5928 <NA>
## 5929 No (we do not use ML methods)
## 5930 We use ML methods for generating insights (but do not put working models into production)
## 5931 We have well established ML methods (i.e., models in production for more than 2 years)
## 5932 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5933 We are exploring ML methods (and may one day put a model into production)
## 5934 We have well established ML methods (i.e., models in production for more than 2 years)
## 5935 We use ML methods for generating insights (but do not put working models into production)
## 5936 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5937 We have well established ML methods (i.e., models in production for more than 2 years)
## 5938 We have well established ML methods (i.e., models in production for more than 2 years)
## 5939 <NA>
## 5940 We are exploring ML methods (and may one day put a model into production)
## 5941 <NA>
## 5942 We are exploring ML methods (and may one day put a model into production)
## 5943 I do not know
## 5944 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5945 <NA>
## 5946 We use ML methods for generating insights (but do not put working models into production)
## 5947 We have well established ML methods (i.e., models in production for more than 2 years)
## 5948 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5949 <NA>
## 5950 We have well established ML methods (i.e., models in production for more than 2 years)
## 5951 We have well established ML methods (i.e., models in production for more than 2 years)
## 5952 We have well established ML methods (i.e., models in production for more than 2 years)
## 5953 We have well established ML methods (i.e., models in production for more than 2 years)
## 5954 No (we do not use ML methods)
## 5955 I do not know
## 5956 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5957 We use ML methods for generating insights (but do not put working models into production)
## 5958 We have well established ML methods (i.e., models in production for more than 2 years)
## 5959 <NA>
## 5960 We use ML methods for generating insights (but do not put working models into production)
## 5961 We have well established ML methods (i.e., models in production for more than 2 years)
## 5962 We are exploring ML methods (and may one day put a model into production)
## 5963 We are exploring ML methods (and may one day put a model into production)
## 5964 No (we do not use ML methods)
## 5965 <NA>
## 5966 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5967 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5968 We have well established ML methods (i.e., models in production for more than 2 years)
## 5969 No (we do not use ML methods)
## 5970 We have well established ML methods (i.e., models in production for more than 2 years)
## 5971 We have well established ML methods (i.e., models in production for more than 2 years)
## 5972 No (we do not use ML methods)
## 5973 We are exploring ML methods (and may one day put a model into production)
## 5974 <NA>
## 5975 We use ML methods for generating insights (but do not put working models into production)
## 5976 We are exploring ML methods (and may one day put a model into production)
## 5977 No (we do not use ML methods)
## 5978 We have well established ML methods (i.e., models in production for more than 2 years)
## 5979 We have well established ML methods (i.e., models in production for more than 2 years)
## 5980 <NA>
## 5981 We are exploring ML methods (and may one day put a model into production)
## 5982 We have well established ML methods (i.e., models in production for more than 2 years)
## 5983 No (we do not use ML methods)
## 5984 We have well established ML methods (i.e., models in production for more than 2 years)
## 5985 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5986 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5987 No (we do not use ML methods)
## 5988 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5989 We have well established ML methods (i.e., models in production for more than 2 years)
## 5990 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5991 We are exploring ML methods (and may one day put a model into production)
## 5992 We use ML methods for generating insights (but do not put working models into production)
## 5993 <NA>
## 5994 No (we do not use ML methods)
## 5995 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5996 <NA>
## 5997 We recently started using ML methods (i.e., models in production for less than 2 years)
## 5998 No (we do not use ML methods)
## 5999 <NA>
## 6000 <NA>
## 6001 <NA>
## 6002 We have well established ML methods (i.e., models in production for more than 2 years)
## 6003 <NA>
## 6004 We have well established ML methods (i.e., models in production for more than 2 years)
## 6005 No (we do not use ML methods)
## 6006 We have well established ML methods (i.e., models in production for more than 2 years)
## 6007 <NA>
## 6008 We have well established ML methods (i.e., models in production for more than 2 years)
## 6009 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6010 No (we do not use ML methods)
## 6011 We have well established ML methods (i.e., models in production for more than 2 years)
## 6012 No (we do not use ML methods)
## 6013 We have well established ML methods (i.e., models in production for more than 2 years)
## 6014 We have well established ML methods (i.e., models in production for more than 2 years)
## 6015 <NA>
## 6016 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6017 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6018 <NA>
## 6019 <NA>
## 6020 <NA>
## 6021 <NA>
## 6022 I do not know
## 6023 No (we do not use ML methods)
## 6024 I do not know
## 6025 We have well established ML methods (i.e., models in production for more than 2 years)
## 6026 <NA>
## 6027 We are exploring ML methods (and may one day put a model into production)
## 6028 We have well established ML methods (i.e., models in production for more than 2 years)
## 6029 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6030 We are exploring ML methods (and may one day put a model into production)
## 6031 We are exploring ML methods (and may one day put a model into production)
## 6032 <NA>
## 6033 I do not know
## 6034 <NA>
## 6035 We use ML methods for generating insights (but do not put working models into production)
## 6036 No (we do not use ML methods)
## 6037 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6038 <NA>
## 6039 We are exploring ML methods (and may one day put a model into production)
## 6040 <NA>
## 6041 <NA>
## 6042 No (we do not use ML methods)
## 6043 <NA>
## 6044 We have well established ML methods (i.e., models in production for more than 2 years)
## 6045 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6046 <NA>
## 6047 No (we do not use ML methods)
## 6048 We have well established ML methods (i.e., models in production for more than 2 years)
## 6049 We are exploring ML methods (and may one day put a model into production)
## 6050 No (we do not use ML methods)
## 6051 No (we do not use ML methods)
## 6052 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6053 No (we do not use ML methods)
## 6054 <NA>
## 6055 No (we do not use ML methods)
## 6056 <NA>
## 6057 We are exploring ML methods (and may one day put a model into production)
## 6058 I do not know
## 6059 We have well established ML methods (i.e., models in production for more than 2 years)
## 6060 No (we do not use ML methods)
## 6061 <NA>
## 6062 We have well established ML methods (i.e., models in production for more than 2 years)
## 6063 We use ML methods for generating insights (but do not put working models into production)
## 6064 We are exploring ML methods (and may one day put a model into production)
## 6065 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6066 We have well established ML methods (i.e., models in production for more than 2 years)
## 6067 We are exploring ML methods (and may one day put a model into production)
## 6068 I do not know
## 6069 <NA>
## 6070 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6071 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6072 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6073 <NA>
## 6074 We are exploring ML methods (and may one day put a model into production)
## 6075 <NA>
## 6076 <NA>
## 6077 We are exploring ML methods (and may one day put a model into production)
## 6078 <NA>
## 6079 We use ML methods for generating insights (but do not put working models into production)
## 6080 We have well established ML methods (i.e., models in production for more than 2 years)
## 6081 No (we do not use ML methods)
## 6082 We are exploring ML methods (and may one day put a model into production)
## 6083 <NA>
## 6084 We use ML methods for generating insights (but do not put working models into production)
## 6085 <NA>
## 6086 <NA>
## 6087 <NA>
## 6088 We are exploring ML methods (and may one day put a model into production)
## 6089 No (we do not use ML methods)
## 6090 No (we do not use ML methods)
## 6091 We use ML methods for generating insights (but do not put working models into production)
## 6092 <NA>
## 6093 <NA>
## 6094 We are exploring ML methods (and may one day put a model into production)
## 6095 I do not know
## 6096 We are exploring ML methods (and may one day put a model into production)
## 6097 No (we do not use ML methods)
## 6098 We are exploring ML methods (and may one day put a model into production)
## 6099 <NA>
## 6100 I do not know
## 6101 We have well established ML methods (i.e., models in production for more than 2 years)
## 6102 <NA>
## 6103 <NA>
## 6104 We have well established ML methods (i.e., models in production for more than 2 years)
## 6105 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6106 <NA>
## 6107 No (we do not use ML methods)
## 6108 <NA>
## 6109 I do not know
## 6110 No (we do not use ML methods)
## 6111 We have well established ML methods (i.e., models in production for more than 2 years)
## 6112 <NA>
## 6113 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6114 I do not know
## 6115 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6116 We are exploring ML methods (and may one day put a model into production)
## 6117 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6118 We have well established ML methods (i.e., models in production for more than 2 years)
## 6119 We have well established ML methods (i.e., models in production for more than 2 years)
## 6120 We are exploring ML methods (and may one day put a model into production)
## 6121 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6122 <NA>
## 6123 <NA>
## 6124 We are exploring ML methods (and may one day put a model into production)
## 6125 I do not know
## 6126 No (we do not use ML methods)
## 6127 We are exploring ML methods (and may one day put a model into production)
## 6128 We have well established ML methods (i.e., models in production for more than 2 years)
## 6129 We have well established ML methods (i.e., models in production for more than 2 years)
## 6130 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6131 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6132 <NA>
## 6133 No (we do not use ML methods)
## 6134 We are exploring ML methods (and may one day put a model into production)
## 6135 We have well established ML methods (i.e., models in production for more than 2 years)
## 6136 <NA>
## 6137 We have well established ML methods (i.e., models in production for more than 2 years)
## 6138 <NA>
## 6139 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6140 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6141 We have well established ML methods (i.e., models in production for more than 2 years)
## 6142 We are exploring ML methods (and may one day put a model into production)
## 6143 No (we do not use ML methods)
## 6144 We are exploring ML methods (and may one day put a model into production)
## 6145 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6146 We have well established ML methods (i.e., models in production for more than 2 years)
## 6147 No (we do not use ML methods)
## 6148 No (we do not use ML methods)
## 6149 <NA>
## 6150 No (we do not use ML methods)
## 6151 We have well established ML methods (i.e., models in production for more than 2 years)
## 6152 No (we do not use ML methods)
## 6153 We have well established ML methods (i.e., models in production for more than 2 years)
## 6154 We are exploring ML methods (and may one day put a model into production)
## 6155 We are exploring ML methods (and may one day put a model into production)
## 6156 We have well established ML methods (i.e., models in production for more than 2 years)
## 6157 We are exploring ML methods (and may one day put a model into production)
## 6158 No (we do not use ML methods)
## 6159 I do not know
## 6160 We have well established ML methods (i.e., models in production for more than 2 years)
## 6161 <NA>
## 6162 <NA>
## 6163 <NA>
## 6164 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6165 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6166 No (we do not use ML methods)
## 6167 We use ML methods for generating insights (but do not put working models into production)
## 6168 No (we do not use ML methods)
## 6169 <NA>
## 6170 We use ML methods for generating insights (but do not put working models into production)
## 6171 I do not know
## 6172 No (we do not use ML methods)
## 6173 We are exploring ML methods (and may one day put a model into production)
## 6174 We are exploring ML methods (and may one day put a model into production)
## 6175 I do not know
## 6176 <NA>
## 6177 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6178 We are exploring ML methods (and may one day put a model into production)
## 6179 <NA>
## 6180 <NA>
## 6181 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6182 We are exploring ML methods (and may one day put a model into production)
## 6183 We have well established ML methods (i.e., models in production for more than 2 years)
## 6184 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6185 We have well established ML methods (i.e., models in production for more than 2 years)
## 6186 No (we do not use ML methods)
## 6187 We have well established ML methods (i.e., models in production for more than 2 years)
## 6188 <NA>
## 6189 <NA>
## 6190 We use ML methods for generating insights (but do not put working models into production)
## 6191 No (we do not use ML methods)
## 6192 We are exploring ML methods (and may one day put a model into production)
## 6193 We use ML methods for generating insights (but do not put working models into production)
## 6194 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6195 No (we do not use ML methods)
## 6196 No (we do not use ML methods)
## 6197 We are exploring ML methods (and may one day put a model into production)
## 6198 We are exploring ML methods (and may one day put a model into production)
## 6199 We have well established ML methods (i.e., models in production for more than 2 years)
## 6200 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6201 <NA>
## 6202 We have well established ML methods (i.e., models in production for more than 2 years)
## 6203 We have well established ML methods (i.e., models in production for more than 2 years)
## 6204 We use ML methods for generating insights (but do not put working models into production)
## 6205 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6206 <NA>
## 6207 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6208 We are exploring ML methods (and may one day put a model into production)
## 6209 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6210 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6211 No (we do not use ML methods)
## 6212 We use ML methods for generating insights (but do not put working models into production)
## 6213 We are exploring ML methods (and may one day put a model into production)
## 6214 No (we do not use ML methods)
## 6215 No (we do not use ML methods)
## 6216 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6217 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6218 No (we do not use ML methods)
## 6219 <NA>
## 6220 We are exploring ML methods (and may one day put a model into production)
## 6221 We are exploring ML methods (and may one day put a model into production)
## 6222 No (we do not use ML methods)
## 6223 No (we do not use ML methods)
## 6224 I do not know
## 6225 I do not know
## 6226 We have well established ML methods (i.e., models in production for more than 2 years)
## 6227 We have well established ML methods (i.e., models in production for more than 2 years)
## 6228 <NA>
## 6229 We have well established ML methods (i.e., models in production for more than 2 years)
## 6230 We are exploring ML methods (and may one day put a model into production)
## 6231 <NA>
## 6232 We use ML methods for generating insights (but do not put working models into production)
## 6233 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6234 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6235 We are exploring ML methods (and may one day put a model into production)
## 6236 We have well established ML methods (i.e., models in production for more than 2 years)
## 6237 No (we do not use ML methods)
## 6238 We have well established ML methods (i.e., models in production for more than 2 years)
## 6239 We are exploring ML methods (and may one day put a model into production)
## 6240 We have well established ML methods (i.e., models in production for more than 2 years)
## 6241 <NA>
## 6242 We are exploring ML methods (and may one day put a model into production)
## 6243 <NA>
## 6244 <NA>
## 6245 I do not know
## 6246 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6247 <NA>
## 6248 We have well established ML methods (i.e., models in production for more than 2 years)
## 6249 No (we do not use ML methods)
## 6250 We use ML methods for generating insights (but do not put working models into production)
## 6251 We have well established ML methods (i.e., models in production for more than 2 years)
## 6252 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6253 We have well established ML methods (i.e., models in production for more than 2 years)
## 6254 We have well established ML methods (i.e., models in production for more than 2 years)
## 6255 We use ML methods for generating insights (but do not put working models into production)
## 6256 We have well established ML methods (i.e., models in production for more than 2 years)
## 6257 <NA>
## 6258 No (we do not use ML methods)
## 6259 We have well established ML methods (i.e., models in production for more than 2 years)
## 6260 We are exploring ML methods (and may one day put a model into production)
## 6261 We use ML methods for generating insights (but do not put working models into production)
## 6262 We have well established ML methods (i.e., models in production for more than 2 years)
## 6263 We have well established ML methods (i.e., models in production for more than 2 years)
## 6264 <NA>
## 6265 We have well established ML methods (i.e., models in production for more than 2 years)
## 6266 We have well established ML methods (i.e., models in production for more than 2 years)
## 6267 We have well established ML methods (i.e., models in production for more than 2 years)
## 6268 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6269 <NA>
## 6270 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6271 <NA>
## 6272 <NA>
## 6273 I do not know
## 6274 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6275 I do not know
## 6276 We use ML methods for generating insights (but do not put working models into production)
## 6277 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6278 We have well established ML methods (i.e., models in production for more than 2 years)
## 6279 No (we do not use ML methods)
## 6280 <NA>
## 6281 We are exploring ML methods (and may one day put a model into production)
## 6282 No (we do not use ML methods)
## 6283 No (we do not use ML methods)
## 6284 We have well established ML methods (i.e., models in production for more than 2 years)
## 6285 <NA>
## 6286 I do not know
## 6287 We are exploring ML methods (and may one day put a model into production)
## 6288 We are exploring ML methods (and may one day put a model into production)
## 6289 <NA>
## 6290 We have well established ML methods (i.e., models in production for more than 2 years)
## 6291 <NA>
## 6292 We have well established ML methods (i.e., models in production for more than 2 years)
## 6293 No (we do not use ML methods)
## 6294 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6295 <NA>
## 6296 <NA>
## 6297 <NA>
## 6298 We have well established ML methods (i.e., models in production for more than 2 years)
## 6299 We are exploring ML methods (and may one day put a model into production)
## 6300 I do not know
## 6301 We have well established ML methods (i.e., models in production for more than 2 years)
## 6302 We have well established ML methods (i.e., models in production for more than 2 years)
## 6303 <NA>
## 6304 I do not know
## 6305 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6306 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6307 <NA>
## 6308 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6309 We are exploring ML methods (and may one day put a model into production)
## 6310 I do not know
## 6311 <NA>
## 6312 <NA>
## 6313 I do not know
## 6314 No (we do not use ML methods)
## 6315 <NA>
## 6316 We have well established ML methods (i.e., models in production for more than 2 years)
## 6317 No (we do not use ML methods)
## 6318 We have well established ML methods (i.e., models in production for more than 2 years)
## 6319 We have well established ML methods (i.e., models in production for more than 2 years)
## 6320 We use ML methods for generating insights (but do not put working models into production)
## 6321 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6322 We have well established ML methods (i.e., models in production for more than 2 years)
## 6323 We are exploring ML methods (and may one day put a model into production)
## 6324 We are exploring ML methods (and may one day put a model into production)
## 6325 We use ML methods for generating insights (but do not put working models into production)
## 6326 <NA>
## 6327 We use ML methods for generating insights (but do not put working models into production)
## 6328 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6329 We use ML methods for generating insights (but do not put working models into production)
## 6330 We are exploring ML methods (and may one day put a model into production)
## 6331 <NA>
## 6332 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6333 <NA>
## 6334 I do not know
## 6335 We have well established ML methods (i.e., models in production for more than 2 years)
## 6336 I do not know
## 6337 We are exploring ML methods (and may one day put a model into production)
## 6338 <NA>
## 6339 No (we do not use ML methods)
## 6340 We have well established ML methods (i.e., models in production for more than 2 years)
## 6341 No (we do not use ML methods)
## 6342 No (we do not use ML methods)
## 6343 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6344 We use ML methods for generating insights (but do not put working models into production)
## 6345 We have well established ML methods (i.e., models in production for more than 2 years)
## 6346 No (we do not use ML methods)
## 6347 <NA>
## 6348 No (we do not use ML methods)
## 6349 We use ML methods for generating insights (but do not put working models into production)
## 6350 <NA>
## 6351 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6352 We are exploring ML methods (and may one day put a model into production)
## 6353 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6354 We have well established ML methods (i.e., models in production for more than 2 years)
## 6355 I do not know
## 6356 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6357 We are exploring ML methods (and may one day put a model into production)
## 6358 No (we do not use ML methods)
## 6359 <NA>
## 6360 We have well established ML methods (i.e., models in production for more than 2 years)
## 6361 We have well established ML methods (i.e., models in production for more than 2 years)
## 6362 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6363 No (we do not use ML methods)
## 6364 We have well established ML methods (i.e., models in production for more than 2 years)
## 6365 <NA>
## 6366 <NA>
## 6367 No (we do not use ML methods)
## 6368 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6369 We have well established ML methods (i.e., models in production for more than 2 years)
## 6370 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6371 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6372 We use ML methods for generating insights (but do not put working models into production)
## 6373 No (we do not use ML methods)
## 6374 I do not know
## 6375 No (we do not use ML methods)
## 6376 We have well established ML methods (i.e., models in production for more than 2 years)
## 6377 We have well established ML methods (i.e., models in production for more than 2 years)
## 6378 No (we do not use ML methods)
## 6379 We are exploring ML methods (and may one day put a model into production)
## 6380 I do not know
## 6381 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6382 <NA>
## 6383 No (we do not use ML methods)
## 6384 We are exploring ML methods (and may one day put a model into production)
## 6385 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6386 We are exploring ML methods (and may one day put a model into production)
## 6387 We have well established ML methods (i.e., models in production for more than 2 years)
## 6388 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6389 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6390 <NA>
## 6391 We use ML methods for generating insights (but do not put working models into production)
## 6392 We are exploring ML methods (and may one day put a model into production)
## 6393 We have well established ML methods (i.e., models in production for more than 2 years)
## 6394 No (we do not use ML methods)
## 6395 We have well established ML methods (i.e., models in production for more than 2 years)
## 6396 We have well established ML methods (i.e., models in production for more than 2 years)
## 6397 We are exploring ML methods (and may one day put a model into production)
## 6398 <NA>
## 6399 <NA>
## 6400 <NA>
## 6401 We are exploring ML methods (and may one day put a model into production)
## 6402 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6403 No (we do not use ML methods)
## 6404 No (we do not use ML methods)
## 6405 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6406 I do not know
## 6407 We are exploring ML methods (and may one day put a model into production)
## 6408 We are exploring ML methods (and may one day put a model into production)
## 6409 <NA>
## 6410 <NA>
## 6411 We are exploring ML methods (and may one day put a model into production)
## 6412 I do not know
## 6413 We use ML methods for generating insights (but do not put working models into production)
## 6414 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6415 We are exploring ML methods (and may one day put a model into production)
## 6416 No (we do not use ML methods)
## 6417 <NA>
## 6418 We use ML methods for generating insights (but do not put working models into production)
## 6419 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6420 We have well established ML methods (i.e., models in production for more than 2 years)
## 6421 We use ML methods for generating insights (but do not put working models into production)
## 6422 We are exploring ML methods (and may one day put a model into production)
## 6423 No (we do not use ML methods)
## 6424 <NA>
## 6425 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6426 No (we do not use ML methods)
## 6427 No (we do not use ML methods)
## 6428 No (we do not use ML methods)
## 6429 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6430 I do not know
## 6431 <NA>
## 6432 We are exploring ML methods (and may one day put a model into production)
## 6433 We use ML methods for generating insights (but do not put working models into production)
## 6434 We use ML methods for generating insights (but do not put working models into production)
## 6435 No (we do not use ML methods)
## 6436 <NA>
## 6437 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6438 We have well established ML methods (i.e., models in production for more than 2 years)
## 6439 We are exploring ML methods (and may one day put a model into production)
## 6440 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6441 <NA>
## 6442 No (we do not use ML methods)
## 6443 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6444 We have well established ML methods (i.e., models in production for more than 2 years)
## 6445 We have well established ML methods (i.e., models in production for more than 2 years)
## 6446 No (we do not use ML methods)
## 6447 I do not know
## 6448 We have well established ML methods (i.e., models in production for more than 2 years)
## 6449 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6450 I do not know
## 6451 <NA>
## 6452 <NA>
## 6453 We have well established ML methods (i.e., models in production for more than 2 years)
## 6454 <NA>
## 6455 <NA>
## 6456 <NA>
## 6457 No (we do not use ML methods)
## 6458 <NA>
## 6459 <NA>
## 6460 <NA>
## 6461 I do not know
## 6462 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6463 <NA>
## 6464 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6465 <NA>
## 6466 I do not know
## 6467 No (we do not use ML methods)
## 6468 We have well established ML methods (i.e., models in production for more than 2 years)
## 6469 We are exploring ML methods (and may one day put a model into production)
## 6470 We use ML methods for generating insights (but do not put working models into production)
## 6471 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6472 <NA>
## 6473 No (we do not use ML methods)
## 6474 <NA>
## 6475 We have well established ML methods (i.e., models in production for more than 2 years)
## 6476 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6477 We use ML methods for generating insights (but do not put working models into production)
## 6478 We have well established ML methods (i.e., models in production for more than 2 years)
## 6479 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6480 <NA>
## 6481 We use ML methods for generating insights (but do not put working models into production)
## 6482 We are exploring ML methods (and may one day put a model into production)
## 6483 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6484 We have well established ML methods (i.e., models in production for more than 2 years)
## 6485 We use ML methods for generating insights (but do not put working models into production)
## 6486 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6487 <NA>
## 6488 We have well established ML methods (i.e., models in production for more than 2 years)
## 6489 No (we do not use ML methods)
## 6490 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6491 We use ML methods for generating insights (but do not put working models into production)
## 6492 We have well established ML methods (i.e., models in production for more than 2 years)
## 6493 No (we do not use ML methods)
## 6494 No (we do not use ML methods)
## 6495 <NA>
## 6496 <NA>
## 6497 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6498 <NA>
## 6499 No (we do not use ML methods)
## 6500 <NA>
## 6501 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6502 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6503 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6504 <NA>
## 6505 We are exploring ML methods (and may one day put a model into production)
## 6506 We have well established ML methods (i.e., models in production for more than 2 years)
## 6507 We are exploring ML methods (and may one day put a model into production)
## 6508 <NA>
## 6509 We are exploring ML methods (and may one day put a model into production)
## 6510 No (we do not use ML methods)
## 6511 We have well established ML methods (i.e., models in production for more than 2 years)
## 6512 No (we do not use ML methods)
## 6513 We use ML methods for generating insights (but do not put working models into production)
## 6514 We use ML methods for generating insights (but do not put working models into production)
## 6515 No (we do not use ML methods)
## 6516 <NA>
## 6517 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6518 We have well established ML methods (i.e., models in production for more than 2 years)
## 6519 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6520 <NA>
## 6521 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6522 We have well established ML methods (i.e., models in production for more than 2 years)
## 6523 We use ML methods for generating insights (but do not put working models into production)
## 6524 We are exploring ML methods (and may one day put a model into production)
## 6525 <NA>
## 6526 We have well established ML methods (i.e., models in production for more than 2 years)
## 6527 I do not know
## 6528 We are exploring ML methods (and may one day put a model into production)
## 6529 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6530 We use ML methods for generating insights (but do not put working models into production)
## 6531 We have well established ML methods (i.e., models in production for more than 2 years)
## 6532 <NA>
## 6533 We use ML methods for generating insights (but do not put working models into production)
## 6534 <NA>
## 6535 We have well established ML methods (i.e., models in production for more than 2 years)
## 6536 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6537 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6538 We have well established ML methods (i.e., models in production for more than 2 years)
## 6539 <NA>
## 6540 We use ML methods for generating insights (but do not put working models into production)
## 6541 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6542 <NA>
## 6543 No (we do not use ML methods)
## 6544 We have well established ML methods (i.e., models in production for more than 2 years)
## 6545 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6546 I do not know
## 6547 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6548 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6549 We use ML methods for generating insights (but do not put working models into production)
## 6550 <NA>
## 6551 No (we do not use ML methods)
## 6552 We are exploring ML methods (and may one day put a model into production)
## 6553 I do not know
## 6554 We are exploring ML methods (and may one day put a model into production)
## 6555 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6556 We are exploring ML methods (and may one day put a model into production)
## 6557 <NA>
## 6558 No (we do not use ML methods)
## 6559 We use ML methods for generating insights (but do not put working models into production)
## 6560 <NA>
## 6561 No (we do not use ML methods)
## 6562 We have well established ML methods (i.e., models in production for more than 2 years)
## 6563 We are exploring ML methods (and may one day put a model into production)
## 6564 I do not know
## 6565 We are exploring ML methods (and may one day put a model into production)
## 6566 <NA>
## 6567 I do not know
## 6568 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6569 We have well established ML methods (i.e., models in production for more than 2 years)
## 6570 <NA>
## 6571 No (we do not use ML methods)
## 6572 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6573 <NA>
## 6574 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6575 We are exploring ML methods (and may one day put a model into production)
## 6576 We use ML methods for generating insights (but do not put working models into production)
## 6577 We have well established ML methods (i.e., models in production for more than 2 years)
## 6578 <NA>
## 6579 We are exploring ML methods (and may one day put a model into production)
## 6580 No (we do not use ML methods)
## 6581 <NA>
## 6582 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6583 We are exploring ML methods (and may one day put a model into production)
## 6584 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6585 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6586 We are exploring ML methods (and may one day put a model into production)
## 6587 No (we do not use ML methods)
## 6588 No (we do not use ML methods)
## 6589 No (we do not use ML methods)
## 6590 No (we do not use ML methods)
## 6591 We have well established ML methods (i.e., models in production for more than 2 years)
## 6592 No (we do not use ML methods)
## 6593 <NA>
## 6594 We use ML methods for generating insights (but do not put working models into production)
## 6595 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6596 <NA>
## 6597 I do not know
## 6598 We are exploring ML methods (and may one day put a model into production)
## 6599 We have well established ML methods (i.e., models in production for more than 2 years)
## 6600 I do not know
## 6601 <NA>
## 6602 We have well established ML methods (i.e., models in production for more than 2 years)
## 6603 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6604 We have well established ML methods (i.e., models in production for more than 2 years)
## 6605 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6606 No (we do not use ML methods)
## 6607 We have well established ML methods (i.e., models in production for more than 2 years)
## 6608 No (we do not use ML methods)
## 6609 No (we do not use ML methods)
## 6610 We have well established ML methods (i.e., models in production for more than 2 years)
## 6611 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6612 We have well established ML methods (i.e., models in production for more than 2 years)
## 6613 <NA>
## 6614 We have well established ML methods (i.e., models in production for more than 2 years)
## 6615 We are exploring ML methods (and may one day put a model into production)
## 6616 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6617 I do not know
## 6618 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6619 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6620 We are exploring ML methods (and may one day put a model into production)
## 6621 We have well established ML methods (i.e., models in production for more than 2 years)
## 6622 I do not know
## 6623 No (we do not use ML methods)
## 6624 We use ML methods for generating insights (but do not put working models into production)
## 6625 <NA>
## 6626 We have well established ML methods (i.e., models in production for more than 2 years)
## 6627 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6628 We are exploring ML methods (and may one day put a model into production)
## 6629 <NA>
## 6630 <NA>
## 6631 We are exploring ML methods (and may one day put a model into production)
## 6632 We are exploring ML methods (and may one day put a model into production)
## 6633 We are exploring ML methods (and may one day put a model into production)
## 6634 No (we do not use ML methods)
## 6635 We are exploring ML methods (and may one day put a model into production)
## 6636 We are exploring ML methods (and may one day put a model into production)
## 6637 We are exploring ML methods (and may one day put a model into production)
## 6638 No (we do not use ML methods)
## 6639 We are exploring ML methods (and may one day put a model into production)
## 6640 <NA>
## 6641 We have well established ML methods (i.e., models in production for more than 2 years)
## 6642 We are exploring ML methods (and may one day put a model into production)
## 6643 No (we do not use ML methods)
## 6644 We are exploring ML methods (and may one day put a model into production)
## 6645 We have well established ML methods (i.e., models in production for more than 2 years)
## 6646 We use ML methods for generating insights (but do not put working models into production)
## 6647 We are exploring ML methods (and may one day put a model into production)
## 6648 <NA>
## 6649 We are exploring ML methods (and may one day put a model into production)
## 6650 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6651 We are exploring ML methods (and may one day put a model into production)
## 6652 We are exploring ML methods (and may one day put a model into production)
## 6653 No (we do not use ML methods)
## 6654 We use ML methods for generating insights (but do not put working models into production)
## 6655 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6656 <NA>
## 6657 <NA>
## 6658 No (we do not use ML methods)
## 6659 We are exploring ML methods (and may one day put a model into production)
## 6660 No (we do not use ML methods)
## 6661 <NA>
## 6662 We have well established ML methods (i.e., models in production for more than 2 years)
## 6663 We have well established ML methods (i.e., models in production for more than 2 years)
## 6664 We have well established ML methods (i.e., models in production for more than 2 years)
## 6665 No (we do not use ML methods)
## 6666 We are exploring ML methods (and may one day put a model into production)
## 6667 <NA>
## 6668 No (we do not use ML methods)
## 6669 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6670 We are exploring ML methods (and may one day put a model into production)
## 6671 No (we do not use ML methods)
## 6672 We are exploring ML methods (and may one day put a model into production)
## 6673 <NA>
## 6674 <NA>
## 6675 I do not know
## 6676 <NA>
## 6677 <NA>
## 6678 We use ML methods for generating insights (but do not put working models into production)
## 6679 I do not know
## 6680 No (we do not use ML methods)
## 6681 <NA>
## 6682 I do not know
## 6683 <NA>
## 6684 We use ML methods for generating insights (but do not put working models into production)
## 6685 <NA>
## 6686 I do not know
## 6687 We use ML methods for generating insights (but do not put working models into production)
## 6688 We have well established ML methods (i.e., models in production for more than 2 years)
## 6689 We use ML methods for generating insights (but do not put working models into production)
## 6690 <NA>
## 6691 No (we do not use ML methods)
## 6692 We have well established ML methods (i.e., models in production for more than 2 years)
## 6693 We are exploring ML methods (and may one day put a model into production)
## 6694 <NA>
## 6695 We are exploring ML methods (and may one day put a model into production)
## 6696 We have well established ML methods (i.e., models in production for more than 2 years)
## 6697 No (we do not use ML methods)
## 6698 We have well established ML methods (i.e., models in production for more than 2 years)
## 6699 We have well established ML methods (i.e., models in production for more than 2 years)
## 6700 We have well established ML methods (i.e., models in production for more than 2 years)
## 6701 We have well established ML methods (i.e., models in production for more than 2 years)
## 6702 <NA>
## 6703 <NA>
## 6704 We are exploring ML methods (and may one day put a model into production)
## 6705 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6706 I do not know
## 6707 We use ML methods for generating insights (but do not put working models into production)
## 6708 <NA>
## 6709 We are exploring ML methods (and may one day put a model into production)
## 6710 <NA>
## 6711 We use ML methods for generating insights (but do not put working models into production)
## 6712 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6713 <NA>
## 6714 We are exploring ML methods (and may one day put a model into production)
## 6715 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6716 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6717 We have well established ML methods (i.e., models in production for more than 2 years)
## 6718 <NA>
## 6719 <NA>
## 6720 We have well established ML methods (i.e., models in production for more than 2 years)
## 6721 No (we do not use ML methods)
## 6722 No (we do not use ML methods)
## 6723 We are exploring ML methods (and may one day put a model into production)
## 6724 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6725 I do not know
## 6726 No (we do not use ML methods)
## 6727 <NA>
## 6728 No (we do not use ML methods)
## 6729 <NA>
## 6730 <NA>
## 6731 No (we do not use ML methods)
## 6732 We use ML methods for generating insights (but do not put working models into production)
## 6733 <NA>
## 6734 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6735 <NA>
## 6736 No (we do not use ML methods)
## 6737 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6738 <NA>
## 6739 <NA>
## 6740 We are exploring ML methods (and may one day put a model into production)
## 6741 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6742 We have well established ML methods (i.e., models in production for more than 2 years)
## 6743 We use ML methods for generating insights (but do not put working models into production)
## 6744 We have well established ML methods (i.e., models in production for more than 2 years)
## 6745 No (we do not use ML methods)
## 6746 We use ML methods for generating insights (but do not put working models into production)
## 6747 We are exploring ML methods (and may one day put a model into production)
## 6748 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6749 No (we do not use ML methods)
## 6750 No (we do not use ML methods)
## 6751 We are exploring ML methods (and may one day put a model into production)
## 6752 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6753 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6754 We are exploring ML methods (and may one day put a model into production)
## 6755 I do not know
## 6756 We use ML methods for generating insights (but do not put working models into production)
## 6757 <NA>
## 6758 We use ML methods for generating insights (but do not put working models into production)
## 6759 We use ML methods for generating insights (but do not put working models into production)
## 6760 We are exploring ML methods (and may one day put a model into production)
## 6761 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6762 We are exploring ML methods (and may one day put a model into production)
## 6763 <NA>
## 6764 No (we do not use ML methods)
## 6765 We are exploring ML methods (and may one day put a model into production)
## 6766 No (we do not use ML methods)
## 6767 <NA>
## 6768 I do not know
## 6769 No (we do not use ML methods)
## 6770 We have well established ML methods (i.e., models in production for more than 2 years)
## 6771 No (we do not use ML methods)
## 6772 We have well established ML methods (i.e., models in production for more than 2 years)
## 6773 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6774 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6775 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6776 <NA>
## 6777 We have well established ML methods (i.e., models in production for more than 2 years)
## 6778 No (we do not use ML methods)
## 6779 We are exploring ML methods (and may one day put a model into production)
## 6780 We are exploring ML methods (and may one day put a model into production)
## 6781 <NA>
## 6782 We are exploring ML methods (and may one day put a model into production)
## 6783 <NA>
## 6784 <NA>
## 6785 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6786 I do not know
## 6787 <NA>
## 6788 We have well established ML methods (i.e., models in production for more than 2 years)
## 6789 <NA>
## 6790 <NA>
## 6791 I do not know
## 6792 <NA>
## 6793 We have well established ML methods (i.e., models in production for more than 2 years)
## 6794 We are exploring ML methods (and may one day put a model into production)
## 6795 We have well established ML methods (i.e., models in production for more than 2 years)
## 6796 <NA>
## 6797 <NA>
## 6798 We are exploring ML methods (and may one day put a model into production)
## 6799 No (we do not use ML methods)
## 6800 We have well established ML methods (i.e., models in production for more than 2 years)
## 6801 We are exploring ML methods (and may one day put a model into production)
## 6802 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6803 We have well established ML methods (i.e., models in production for more than 2 years)
## 6804 No (we do not use ML methods)
## 6805 We use ML methods for generating insights (but do not put working models into production)
## 6806 We have well established ML methods (i.e., models in production for more than 2 years)
## 6807 No (we do not use ML methods)
## 6808 <NA>
## 6809 No (we do not use ML methods)
## 6810 <NA>
## 6811 No (we do not use ML methods)
## 6812 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6813 We have well established ML methods (i.e., models in production for more than 2 years)
## 6814 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6815 <NA>
## 6816 We have well established ML methods (i.e., models in production for more than 2 years)
## 6817 We use ML methods for generating insights (but do not put working models into production)
## 6818 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6819 We are exploring ML methods (and may one day put a model into production)
## 6820 We use ML methods for generating insights (but do not put working models into production)
## 6821 We are exploring ML methods (and may one day put a model into production)
## 6822 No (we do not use ML methods)
## 6823 We have well established ML methods (i.e., models in production for more than 2 years)
## 6824 We have well established ML methods (i.e., models in production for more than 2 years)
## 6825 <NA>
## 6826 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6827 I do not know
## 6828 <NA>
## 6829 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6830 We have well established ML methods (i.e., models in production for more than 2 years)
## 6831 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6832 We are exploring ML methods (and may one day put a model into production)
## 6833 <NA>
## 6834 I do not know
## 6835 I do not know
## 6836 I do not know
## 6837 No (we do not use ML methods)
## 6838 We use ML methods for generating insights (but do not put working models into production)
## 6839 We have well established ML methods (i.e., models in production for more than 2 years)
## 6840 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6841 No (we do not use ML methods)
## 6842 We are exploring ML methods (and may one day put a model into production)
## 6843 <NA>
## 6844 We have well established ML methods (i.e., models in production for more than 2 years)
## 6845 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6846 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6847 <NA>
## 6848 No (we do not use ML methods)
## 6849 We are exploring ML methods (and may one day put a model into production)
## 6850 We use ML methods for generating insights (but do not put working models into production)
## 6851 We are exploring ML methods (and may one day put a model into production)
## 6852 We have well established ML methods (i.e., models in production for more than 2 years)
## 6853 <NA>
## 6854 <NA>
## 6855 <NA>
## 6856 <NA>
## 6857 <NA>
## 6858 We use ML methods for generating insights (but do not put working models into production)
## 6859 We have well established ML methods (i.e., models in production for more than 2 years)
## 6860 <NA>
## 6861 We are exploring ML methods (and may one day put a model into production)
## 6862 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6863 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6864 <NA>
## 6865 We have well established ML methods (i.e., models in production for more than 2 years)
## 6866 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6867 <NA>
## 6868 We are exploring ML methods (and may one day put a model into production)
## 6869 We are exploring ML methods (and may one day put a model into production)
## 6870 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6871 <NA>
## 6872 We have well established ML methods (i.e., models in production for more than 2 years)
## 6873 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6874 <NA>
## 6875 <NA>
## 6876 No (we do not use ML methods)
## 6877 <NA>
## 6878 <NA>
## 6879 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6880 No (we do not use ML methods)
## 6881 <NA>
## 6882 No (we do not use ML methods)
## 6883 <NA>
## 6884 <NA>
## 6885 We are exploring ML methods (and may one day put a model into production)
## 6886 We have well established ML methods (i.e., models in production for more than 2 years)
## 6887 No (we do not use ML methods)
## 6888 We are exploring ML methods (and may one day put a model into production)
## 6889 We use ML methods for generating insights (but do not put working models into production)
## 6890 No (we do not use ML methods)
## 6891 We have well established ML methods (i.e., models in production for more than 2 years)
## 6892 No (we do not use ML methods)
## 6893 No (we do not use ML methods)
## 6894 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6895 No (we do not use ML methods)
## 6896 We have well established ML methods (i.e., models in production for more than 2 years)
## 6897 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6898 No (we do not use ML methods)
## 6899 We have well established ML methods (i.e., models in production for more than 2 years)
## 6900 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6901 We use ML methods for generating insights (but do not put working models into production)
## 6902 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6903 We have well established ML methods (i.e., models in production for more than 2 years)
## 6904 We use ML methods for generating insights (but do not put working models into production)
## 6905 We have well established ML methods (i.e., models in production for more than 2 years)
## 6906 I do not know
## 6907 <NA>
## 6908 No (we do not use ML methods)
## 6909 <NA>
## 6910 We have well established ML methods (i.e., models in production for more than 2 years)
## 6911 No (we do not use ML methods)
## 6912 We have well established ML methods (i.e., models in production for more than 2 years)
## 6913 We have well established ML methods (i.e., models in production for more than 2 years)
## 6914 We are exploring ML methods (and may one day put a model into production)
## 6915 We are exploring ML methods (and may one day put a model into production)
## 6916 No (we do not use ML methods)
## 6917 <NA>
## 6918 <NA>
## 6919 <NA>
## 6920 <NA>
## 6921 <NA>
## 6922 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6923 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6924 <NA>
## 6925 <NA>
## 6926 We use ML methods for generating insights (but do not put working models into production)
## 6927 We are exploring ML methods (and may one day put a model into production)
## 6928 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6929 <NA>
## 6930 No (we do not use ML methods)
## 6931 We are exploring ML methods (and may one day put a model into production)
## 6932 <NA>
## 6933 <NA>
## 6934 We use ML methods for generating insights (but do not put working models into production)
## 6935 We have well established ML methods (i.e., models in production for more than 2 years)
## 6936 <NA>
## 6937 We have well established ML methods (i.e., models in production for more than 2 years)
## 6938 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6939 <NA>
## 6940 We use ML methods for generating insights (but do not put working models into production)
## 6941 No (we do not use ML methods)
## 6942 I do not know
## 6943 We have well established ML methods (i.e., models in production for more than 2 years)
## 6944 I do not know
## 6945 We use ML methods for generating insights (but do not put working models into production)
## 6946 <NA>
## 6947 We use ML methods for generating insights (but do not put working models into production)
## 6948 No (we do not use ML methods)
## 6949 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6950 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6951 We use ML methods for generating insights (but do not put working models into production)
## 6952 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6953 <NA>
## 6954 We are exploring ML methods (and may one day put a model into production)
## 6955 We are exploring ML methods (and may one day put a model into production)
## 6956 <NA>
## 6957 <NA>
## 6958 <NA>
## 6959 <NA>
## 6960 We are exploring ML methods (and may one day put a model into production)
## 6961 No (we do not use ML methods)
## 6962 No (we do not use ML methods)
## 6963 <NA>
## 6964 No (we do not use ML methods)
## 6965 We are exploring ML methods (and may one day put a model into production)
## 6966 We are exploring ML methods (and may one day put a model into production)
## 6967 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6968 <NA>
## 6969 <NA>
## 6970 No (we do not use ML methods)
## 6971 We use ML methods for generating insights (but do not put working models into production)
## 6972 No (we do not use ML methods)
## 6973 We have well established ML methods (i.e., models in production for more than 2 years)
## 6974 No (we do not use ML methods)
## 6975 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6976 We are exploring ML methods (and may one day put a model into production)
## 6977 We are exploring ML methods (and may one day put a model into production)
## 6978 We use ML methods for generating insights (but do not put working models into production)
## 6979 We use ML methods for generating insights (but do not put working models into production)
## 6980 We use ML methods for generating insights (but do not put working models into production)
## 6981 We have well established ML methods (i.e., models in production for more than 2 years)
## 6982 No (we do not use ML methods)
## 6983 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6984 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6985 I do not know
## 6986 We are exploring ML methods (and may one day put a model into production)
## 6987 We use ML methods for generating insights (but do not put working models into production)
## 6988 <NA>
## 6989 We recently started using ML methods (i.e., models in production for less than 2 years)
## 6990 We are exploring ML methods (and may one day put a model into production)
## 6991 <NA>
## 6992 <NA>
## 6993 No (we do not use ML methods)
## 6994 We have well established ML methods (i.e., models in production for more than 2 years)
## 6995 We have well established ML methods (i.e., models in production for more than 2 years)
## 6996 <NA>
## 6997 We have well established ML methods (i.e., models in production for more than 2 years)
## 6998 We use ML methods for generating insights (but do not put working models into production)
## 6999 <NA>
## 7000 <NA>
## 7001 <NA>
## 7002 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7003 No (we do not use ML methods)
## 7004 <NA>
## 7005 We are exploring ML methods (and may one day put a model into production)
## 7006 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7007 We have well established ML methods (i.e., models in production for more than 2 years)
## 7008 We have well established ML methods (i.e., models in production for more than 2 years)
## 7009 <NA>
## 7010 We are exploring ML methods (and may one day put a model into production)
## 7011 We are exploring ML methods (and may one day put a model into production)
## 7012 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7013 I do not know
## 7014 We have well established ML methods (i.e., models in production for more than 2 years)
## 7015 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7016 We use ML methods for generating insights (but do not put working models into production)
## 7017 I do not know
## 7018 We are exploring ML methods (and may one day put a model into production)
## 7019 We have well established ML methods (i.e., models in production for more than 2 years)
## 7020 No (we do not use ML methods)
## 7021 We are exploring ML methods (and may one day put a model into production)
## 7022 We have well established ML methods (i.e., models in production for more than 2 years)
## 7023 We have well established ML methods (i.e., models in production for more than 2 years)
## 7024 We are exploring ML methods (and may one day put a model into production)
## 7025 We have well established ML methods (i.e., models in production for more than 2 years)
## 7026 No (we do not use ML methods)
## 7027 We are exploring ML methods (and may one day put a model into production)
## 7028 We have well established ML methods (i.e., models in production for more than 2 years)
## 7029 We are exploring ML methods (and may one day put a model into production)
## 7030 No (we do not use ML methods)
## 7031 <NA>
## 7032 No (we do not use ML methods)
## 7033 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7034 We have well established ML methods (i.e., models in production for more than 2 years)
## 7035 We use ML methods for generating insights (but do not put working models into production)
## 7036 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7037 <NA>
## 7038 We use ML methods for generating insights (but do not put working models into production)
## 7039 No (we do not use ML methods)
## 7040 <NA>
## 7041 We have well established ML methods (i.e., models in production for more than 2 years)
## 7042 <NA>
## 7043 No (we do not use ML methods)
## 7044 We use ML methods for generating insights (but do not put working models into production)
## 7045 No (we do not use ML methods)
## 7046 <NA>
## 7047 No (we do not use ML methods)
## 7048 <NA>
## 7049 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7050 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7051 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7052 We are exploring ML methods (and may one day put a model into production)
## 7053 <NA>
## 7054 We use ML methods for generating insights (but do not put working models into production)
## 7055 No (we do not use ML methods)
## 7056 <NA>
## 7057 We have well established ML methods (i.e., models in production for more than 2 years)
## 7058 No (we do not use ML methods)
## 7059 <NA>
## 7060 We are exploring ML methods (and may one day put a model into production)
## 7061 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7062 We have well established ML methods (i.e., models in production for more than 2 years)
## 7063 We are exploring ML methods (and may one day put a model into production)
## 7064 We are exploring ML methods (and may one day put a model into production)
## 7065 No (we do not use ML methods)
## 7066 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7067 We are exploring ML methods (and may one day put a model into production)
## 7068 <NA>
## 7069 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7070 <NA>
## 7071 We are exploring ML methods (and may one day put a model into production)
## 7072 No (we do not use ML methods)
## 7073 I do not know
## 7074 <NA>
## 7075 I do not know
## 7076 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7077 We have well established ML methods (i.e., models in production for more than 2 years)
## 7078 We use ML methods for generating insights (but do not put working models into production)
## 7079 We are exploring ML methods (and may one day put a model into production)
## 7080 We use ML methods for generating insights (but do not put working models into production)
## 7081 We use ML methods for generating insights (but do not put working models into production)
## 7082 We use ML methods for generating insights (but do not put working models into production)
## 7083 <NA>
## 7084 No (we do not use ML methods)
## 7085 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7086 No (we do not use ML methods)
## 7087 We have well established ML methods (i.e., models in production for more than 2 years)
## 7088 We have well established ML methods (i.e., models in production for more than 2 years)
## 7089 No (we do not use ML methods)
## 7090 <NA>
## 7091 <NA>
## 7092 We have well established ML methods (i.e., models in production for more than 2 years)
## 7093 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7094 <NA>
## 7095 We are exploring ML methods (and may one day put a model into production)
## 7096 <NA>
## 7097 We have well established ML methods (i.e., models in production for more than 2 years)
## 7098 We are exploring ML methods (and may one day put a model into production)
## 7099 <NA>
## 7100 <NA>
## 7101 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7102 We are exploring ML methods (and may one day put a model into production)
## 7103 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7104 We are exploring ML methods (and may one day put a model into production)
## 7105 No (we do not use ML methods)
## 7106 No (we do not use ML methods)
## 7107 No (we do not use ML methods)
## 7108 <NA>
## 7109 No (we do not use ML methods)
## 7110 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7111 We are exploring ML methods (and may one day put a model into production)
## 7112 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7113 <NA>
## 7114 We have well established ML methods (i.e., models in production for more than 2 years)
## 7115 We are exploring ML methods (and may one day put a model into production)
## 7116 <NA>
## 7117 <NA>
## 7118 <NA>
## 7119 We are exploring ML methods (and may one day put a model into production)
## 7120 We are exploring ML methods (and may one day put a model into production)
## 7121 <NA>
## 7122 We are exploring ML methods (and may one day put a model into production)
## 7123 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7124 <NA>
## 7125 We have well established ML methods (i.e., models in production for more than 2 years)
## 7126 <NA>
## 7127 We use ML methods for generating insights (but do not put working models into production)
## 7128 No (we do not use ML methods)
## 7129 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7130 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7131 We are exploring ML methods (and may one day put a model into production)
## 7132 We have well established ML methods (i.e., models in production for more than 2 years)
## 7133 <NA>
## 7134 <NA>
## 7135 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7136 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7137 I do not know
## 7138 We are exploring ML methods (and may one day put a model into production)
## 7139 We have well established ML methods (i.e., models in production for more than 2 years)
## 7140 <NA>
## 7141 No (we do not use ML methods)
## 7142 We use ML methods for generating insights (but do not put working models into production)
## 7143 <NA>
## 7144 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7145 We are exploring ML methods (and may one day put a model into production)
## 7146 I do not know
## 7147 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7148 <NA>
## 7149 We are exploring ML methods (and may one day put a model into production)
## 7150 We have well established ML methods (i.e., models in production for more than 2 years)
## 7151 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7152 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7153 <NA>
## 7154 We have well established ML methods (i.e., models in production for more than 2 years)
## 7155 <NA>
## 7156 No (we do not use ML methods)
## 7157 We use ML methods for generating insights (but do not put working models into production)
## 7158 <NA>
## 7159 No (we do not use ML methods)
## 7160 <NA>
## 7161 <NA>
## 7162 No (we do not use ML methods)
## 7163 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7164 I do not know
## 7165 We have well established ML methods (i.e., models in production for more than 2 years)
## 7166 We are exploring ML methods (and may one day put a model into production)
## 7167 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7168 We are exploring ML methods (and may one day put a model into production)
## 7169 We have well established ML methods (i.e., models in production for more than 2 years)
## 7170 We are exploring ML methods (and may one day put a model into production)
## 7171 <NA>
## 7172 We have well established ML methods (i.e., models in production for more than 2 years)
## 7173 <NA>
## 7174 <NA>
## 7175 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7176 <NA>
## 7177 I do not know
## 7178 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7179 We have well established ML methods (i.e., models in production for more than 2 years)
## 7180 No (we do not use ML methods)
## 7181 I do not know
## 7182 We are exploring ML methods (and may one day put a model into production)
## 7183 <NA>
## 7184 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7185 <NA>
## 7186 I do not know
## 7187 I do not know
## 7188 We are exploring ML methods (and may one day put a model into production)
## 7189 We have well established ML methods (i.e., models in production for more than 2 years)
## 7190 <NA>
## 7191 <NA>
## 7192 We are exploring ML methods (and may one day put a model into production)
## 7193 <NA>
## 7194 <NA>
## 7195 <NA>
## 7196 We have well established ML methods (i.e., models in production for more than 2 years)
## 7197 We have well established ML methods (i.e., models in production for more than 2 years)
## 7198 <NA>
## 7199 We use ML methods for generating insights (but do not put working models into production)
## 7200 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7201 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7202 No (we do not use ML methods)
## 7203 <NA>
## 7204 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7205 We have well established ML methods (i.e., models in production for more than 2 years)
## 7206 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7207 We use ML methods for generating insights (but do not put working models into production)
## 7208 <NA>
## 7209 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7210 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7211 I do not know
## 7212 No (we do not use ML methods)
## 7213 We are exploring ML methods (and may one day put a model into production)
## 7214 No (we do not use ML methods)
## 7215 <NA>
## 7216 <NA>
## 7217 We are exploring ML methods (and may one day put a model into production)
## 7218 <NA>
## 7219 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7220 No (we do not use ML methods)
## 7221 <NA>
## 7222 No (we do not use ML methods)
## 7223 We have well established ML methods (i.e., models in production for more than 2 years)
## 7224 <NA>
## 7225 <NA>
## 7226 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7227 <NA>
## 7228 <NA>
## 7229 We are exploring ML methods (and may one day put a model into production)
## 7230 No (we do not use ML methods)
## 7231 No (we do not use ML methods)
## 7232 <NA>
## 7233 We are exploring ML methods (and may one day put a model into production)
## 7234 We are exploring ML methods (and may one day put a model into production)
## 7235 We have well established ML methods (i.e., models in production for more than 2 years)
## 7236 We are exploring ML methods (and may one day put a model into production)
## 7237 We are exploring ML methods (and may one day put a model into production)
## 7238 No (we do not use ML methods)
## 7239 We have well established ML methods (i.e., models in production for more than 2 years)
## 7240 I do not know
## 7241 No (we do not use ML methods)
## 7242 We have well established ML methods (i.e., models in production for more than 2 years)
## 7243 <NA>
## 7244 <NA>
## 7245 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7246 <NA>
## 7247 We have well established ML methods (i.e., models in production for more than 2 years)
## 7248 We have well established ML methods (i.e., models in production for more than 2 years)
## 7249 We use ML methods for generating insights (but do not put working models into production)
## 7250 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7251 We have well established ML methods (i.e., models in production for more than 2 years)
## 7252 We have well established ML methods (i.e., models in production for more than 2 years)
## 7253 We are exploring ML methods (and may one day put a model into production)
## 7254 We have well established ML methods (i.e., models in production for more than 2 years)
## 7255 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7256 We have well established ML methods (i.e., models in production for more than 2 years)
## 7257 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7258 We use ML methods for generating insights (but do not put working models into production)
## 7259 We are exploring ML methods (and may one day put a model into production)
## 7260 I do not know
## 7261 <NA>
## 7262 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7263 No (we do not use ML methods)
## 7264 We have well established ML methods (i.e., models in production for more than 2 years)
## 7265 We are exploring ML methods (and may one day put a model into production)
## 7266 <NA>
## 7267 We have well established ML methods (i.e., models in production for more than 2 years)
## 7268 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7269 I do not know
## 7270 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7271 We have well established ML methods (i.e., models in production for more than 2 years)
## 7272 We have well established ML methods (i.e., models in production for more than 2 years)
## 7273 We use ML methods for generating insights (but do not put working models into production)
## 7274 We have well established ML methods (i.e., models in production for more than 2 years)
## 7275 No (we do not use ML methods)
## 7276 No (we do not use ML methods)
## 7277 I do not know
## 7278 We are exploring ML methods (and may one day put a model into production)
## 7279 No (we do not use ML methods)
## 7280 We are exploring ML methods (and may one day put a model into production)
## 7281 We have well established ML methods (i.e., models in production for more than 2 years)
## 7282 We have well established ML methods (i.e., models in production for more than 2 years)
## 7283 We use ML methods for generating insights (but do not put working models into production)
## 7284 We are exploring ML methods (and may one day put a model into production)
## 7285 We use ML methods for generating insights (but do not put working models into production)
## 7286 No (we do not use ML methods)
## 7287 We are exploring ML methods (and may one day put a model into production)
## 7288 We are exploring ML methods (and may one day put a model into production)
## 7289 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7290 We are exploring ML methods (and may one day put a model into production)
## 7291 <NA>
## 7292 We have well established ML methods (i.e., models in production for more than 2 years)
## 7293 We are exploring ML methods (and may one day put a model into production)
## 7294 We are exploring ML methods (and may one day put a model into production)
## 7295 <NA>
## 7296 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7297 We use ML methods for generating insights (but do not put working models into production)
## 7298 We are exploring ML methods (and may one day put a model into production)
## 7299 We are exploring ML methods (and may one day put a model into production)
## 7300 We have well established ML methods (i.e., models in production for more than 2 years)
## 7301 <NA>
## 7302 <NA>
## 7303 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7304 <NA>
## 7305 We have well established ML methods (i.e., models in production for more than 2 years)
## 7306 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7307 <NA>
## 7308 We are exploring ML methods (and may one day put a model into production)
## 7309 I do not know
## 7310 We use ML methods for generating insights (but do not put working models into production)
## 7311 We have well established ML methods (i.e., models in production for more than 2 years)
## 7312 We have well established ML methods (i.e., models in production for more than 2 years)
## 7313 I do not know
## 7314 We have well established ML methods (i.e., models in production for more than 2 years)
## 7315 We have well established ML methods (i.e., models in production for more than 2 years)
## 7316 We have well established ML methods (i.e., models in production for more than 2 years)
## 7317 <NA>
## 7318 No (we do not use ML methods)
## 7319 We are exploring ML methods (and may one day put a model into production)
## 7320 <NA>
## 7321 We are exploring ML methods (and may one day put a model into production)
## 7322 No (we do not use ML methods)
## 7323 No (we do not use ML methods)
## 7324 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7325 We are exploring ML methods (and may one day put a model into production)
## 7326 No (we do not use ML methods)
## 7327 <NA>
## 7328 <NA>
## 7329 We have well established ML methods (i.e., models in production for more than 2 years)
## 7330 <NA>
## 7331 <NA>
## 7332 We use ML methods for generating insights (but do not put working models into production)
## 7333 No (we do not use ML methods)
## 7334 We use ML methods for generating insights (but do not put working models into production)
## 7335 We use ML methods for generating insights (but do not put working models into production)
## 7336 We use ML methods for generating insights (but do not put working models into production)
## 7337 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7338 <NA>
## 7339 No (we do not use ML methods)
## 7340 No (we do not use ML methods)
## 7341 <NA>
## 7342 We are exploring ML methods (and may one day put a model into production)
## 7343 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7344 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7345 We are exploring ML methods (and may one day put a model into production)
## 7346 I do not know
## 7347 <NA>
## 7348 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7349 No (we do not use ML methods)
## 7350 <NA>
## 7351 I do not know
## 7352 We use ML methods for generating insights (but do not put working models into production)
## 7353 We are exploring ML methods (and may one day put a model into production)
## 7354 We are exploring ML methods (and may one day put a model into production)
## 7355 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7356 I do not know
## 7357 We have well established ML methods (i.e., models in production for more than 2 years)
## 7358 <NA>
## 7359 I do not know
## 7360 <NA>
## 7361 No (we do not use ML methods)
## 7362 No (we do not use ML methods)
## 7363 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7364 We use ML methods for generating insights (but do not put working models into production)
## 7365 We have well established ML methods (i.e., models in production for more than 2 years)
## 7366 We are exploring ML methods (and may one day put a model into production)
## 7367 No (we do not use ML methods)
## 7368 <NA>
## 7369 We use ML methods for generating insights (but do not put working models into production)
## 7370 We have well established ML methods (i.e., models in production for more than 2 years)
## 7371 We use ML methods for generating insights (but do not put working models into production)
## 7372 We have well established ML methods (i.e., models in production for more than 2 years)
## 7373 <NA>
## 7374 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7375 We are exploring ML methods (and may one day put a model into production)
## 7376 I do not know
## 7377 We are exploring ML methods (and may one day put a model into production)
## 7378 <NA>
## 7379 I do not know
## 7380 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7381 We have well established ML methods (i.e., models in production for more than 2 years)
## 7382 <NA>
## 7383 We are exploring ML methods (and may one day put a model into production)
## 7384 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7385 No (we do not use ML methods)
## 7386 We are exploring ML methods (and may one day put a model into production)
## 7387 We are exploring ML methods (and may one day put a model into production)
## 7388 No (we do not use ML methods)
## 7389 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7390 We use ML methods for generating insights (but do not put working models into production)
## 7391 I do not know
## 7392 No (we do not use ML methods)
## 7393 We use ML methods for generating insights (but do not put working models into production)
## 7394 We use ML methods for generating insights (but do not put working models into production)
## 7395 We are exploring ML methods (and may one day put a model into production)
## 7396 We are exploring ML methods (and may one day put a model into production)
## 7397 I do not know
## 7398 <NA>
## 7399 I do not know
## 7400 We have well established ML methods (i.e., models in production for more than 2 years)
## 7401 <NA>
## 7402 We have well established ML methods (i.e., models in production for more than 2 years)
## 7403 We have well established ML methods (i.e., models in production for more than 2 years)
## 7404 No (we do not use ML methods)
## 7405 We have well established ML methods (i.e., models in production for more than 2 years)
## 7406 We have well established ML methods (i.e., models in production for more than 2 years)
## 7407 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7408 No (we do not use ML methods)
## 7409 <NA>
## 7410 No (we do not use ML methods)
## 7411 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7412 <NA>
## 7413 <NA>
## 7414 <NA>
## 7415 We have well established ML methods (i.e., models in production for more than 2 years)
## 7416 <NA>
## 7417 No (we do not use ML methods)
## 7418 <NA>
## 7419 No (we do not use ML methods)
## 7420 We are exploring ML methods (and may one day put a model into production)
## 7421 I do not know
## 7422 We have well established ML methods (i.e., models in production for more than 2 years)
## 7423 <NA>
## 7424 <NA>
## 7425 <NA>
## 7426 We have well established ML methods (i.e., models in production for more than 2 years)
## 7427 No (we do not use ML methods)
## 7428 We have well established ML methods (i.e., models in production for more than 2 years)
## 7429 <NA>
## 7430 <NA>
## 7431 We have well established ML methods (i.e., models in production for more than 2 years)
## 7432 <NA>
## 7433 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7434 <NA>
## 7435 No (we do not use ML methods)
## 7436 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7437 <NA>
## 7438 I do not know
## 7439 <NA>
## 7440 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7441 <NA>
## 7442 We use ML methods for generating insights (but do not put working models into production)
## 7443 No (we do not use ML methods)
## 7444 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7445 We are exploring ML methods (and may one day put a model into production)
## 7446 <NA>
## 7447 I do not know
## 7448 We use ML methods for generating insights (but do not put working models into production)
## 7449 We use ML methods for generating insights (but do not put working models into production)
## 7450 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7451 No (we do not use ML methods)
## 7452 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7453 I do not know
## 7454 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7455 <NA>
## 7456 We are exploring ML methods (and may one day put a model into production)
## 7457 We are exploring ML methods (and may one day put a model into production)
## 7458 We are exploring ML methods (and may one day put a model into production)
## 7459 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7460 We use ML methods for generating insights (but do not put working models into production)
## 7461 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7462 I do not know
## 7463 We have well established ML methods (i.e., models in production for more than 2 years)
## 7464 We have well established ML methods (i.e., models in production for more than 2 years)
## 7465 <NA>
## 7466 No (we do not use ML methods)
## 7467 We have well established ML methods (i.e., models in production for more than 2 years)
## 7468 We use ML methods for generating insights (but do not put working models into production)
## 7469 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7470 We are exploring ML methods (and may one day put a model into production)
## 7471 We are exploring ML methods (and may one day put a model into production)
## 7472 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7473 We are exploring ML methods (and may one day put a model into production)
## 7474 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7475 No (we do not use ML methods)
## 7476 We use ML methods for generating insights (but do not put working models into production)
## 7477 <NA>
## 7478 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7479 We are exploring ML methods (and may one day put a model into production)
## 7480 <NA>
## 7481 <NA>
## 7482 No (we do not use ML methods)
## 7483 No (we do not use ML methods)
## 7484 We are exploring ML methods (and may one day put a model into production)
## 7485 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7486 We are exploring ML methods (and may one day put a model into production)
## 7487 <NA>
## 7488 <NA>
## 7489 We use ML methods for generating insights (but do not put working models into production)
## 7490 We are exploring ML methods (and may one day put a model into production)
## 7491 I do not know
## 7492 No (we do not use ML methods)
## 7493 We have well established ML methods (i.e., models in production for more than 2 years)
## 7494 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7495 <NA>
## 7496 We are exploring ML methods (and may one day put a model into production)
## 7497 No (we do not use ML methods)
## 7498 We have well established ML methods (i.e., models in production for more than 2 years)
## 7499 No (we do not use ML methods)
## 7500 <NA>
## 7501 We use ML methods for generating insights (but do not put working models into production)
## 7502 No (we do not use ML methods)
## 7503 <NA>
## 7504 No (we do not use ML methods)
## 7505 No (we do not use ML methods)
## 7506 No (we do not use ML methods)
## 7507 <NA>
## 7508 No (we do not use ML methods)
## 7509 <NA>
## 7510 No (we do not use ML methods)
## 7511 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7512 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7513 We are exploring ML methods (and may one day put a model into production)
## 7514 I do not know
## 7515 I do not know
## 7516 We have well established ML methods (i.e., models in production for more than 2 years)
## 7517 I do not know
## 7518 <NA>
## 7519 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7520 We have well established ML methods (i.e., models in production for more than 2 years)
## 7521 <NA>
## 7522 <NA>
## 7523 We are exploring ML methods (and may one day put a model into production)
## 7524 We are exploring ML methods (and may one day put a model into production)
## 7525 We have well established ML methods (i.e., models in production for more than 2 years)
## 7526 We are exploring ML methods (and may one day put a model into production)
## 7527 We have well established ML methods (i.e., models in production for more than 2 years)
## 7528 We have well established ML methods (i.e., models in production for more than 2 years)
## 7529 We are exploring ML methods (and may one day put a model into production)
## 7530 No (we do not use ML methods)
## 7531 We are exploring ML methods (and may one day put a model into production)
## 7532 We are exploring ML methods (and may one day put a model into production)
## 7533 We have well established ML methods (i.e., models in production for more than 2 years)
## 7534 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7535 We use ML methods for generating insights (but do not put working models into production)
## 7536 We use ML methods for generating insights (but do not put working models into production)
## 7537 We are exploring ML methods (and may one day put a model into production)
## 7538 We have well established ML methods (i.e., models in production for more than 2 years)
## 7539 <NA>
## 7540 <NA>
## 7541 <NA>
## 7542 <NA>
## 7543 <NA>
## 7544 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7545 We are exploring ML methods (and may one day put a model into production)
## 7546 We are exploring ML methods (and may one day put a model into production)
## 7547 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7548 We use ML methods for generating insights (but do not put working models into production)
## 7549 I do not know
## 7550 <NA>
## 7551 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7552 No (we do not use ML methods)
## 7553 We have well established ML methods (i.e., models in production for more than 2 years)
## 7554 We are exploring ML methods (and may one day put a model into production)
## 7555 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7556 <NA>
## 7557 We have well established ML methods (i.e., models in production for more than 2 years)
## 7558 We have well established ML methods (i.e., models in production for more than 2 years)
## 7559 <NA>
## 7560 No (we do not use ML methods)
## 7561 We are exploring ML methods (and may one day put a model into production)
## 7562 We have well established ML methods (i.e., models in production for more than 2 years)
## 7563 We have well established ML methods (i.e., models in production for more than 2 years)
## 7564 We are exploring ML methods (and may one day put a model into production)
## 7565 <NA>
## 7566 We have well established ML methods (i.e., models in production for more than 2 years)
## 7567 I do not know
## 7568 We use ML methods for generating insights (but do not put working models into production)
## 7569 We are exploring ML methods (and may one day put a model into production)
## 7570 <NA>
## 7571 We have well established ML methods (i.e., models in production for more than 2 years)
## 7572 <NA>
## 7573 We are exploring ML methods (and may one day put a model into production)
## 7574 We use ML methods for generating insights (but do not put working models into production)
## 7575 <NA>
## 7576 We use ML methods for generating insights (but do not put working models into production)
## 7577 We are exploring ML methods (and may one day put a model into production)
## 7578 <NA>
## 7579 We use ML methods for generating insights (but do not put working models into production)
## 7580 <NA>
## 7581 We have well established ML methods (i.e., models in production for more than 2 years)
## 7582 I do not know
## 7583 <NA>
## 7584 We are exploring ML methods (and may one day put a model into production)
## 7585 <NA>
## 7586 No (we do not use ML methods)
## 7587 I do not know
## 7588 <NA>
## 7589 We are exploring ML methods (and may one day put a model into production)
## 7590 <NA>
## 7591 <NA>
## 7592 <NA>
## 7593 <NA>
## 7594 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7595 We have well established ML methods (i.e., models in production for more than 2 years)
## 7596 I do not know
## 7597 We have well established ML methods (i.e., models in production for more than 2 years)
## 7598 We have well established ML methods (i.e., models in production for more than 2 years)
## 7599 We are exploring ML methods (and may one day put a model into production)
## 7600 <NA>
## 7601 <NA>
## 7602 <NA>
## 7603 We are exploring ML methods (and may one day put a model into production)
## 7604 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7605 No (we do not use ML methods)
## 7606 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7607 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7608 <NA>
## 7609 No (we do not use ML methods)
## 7610 No (we do not use ML methods)
## 7611 We are exploring ML methods (and may one day put a model into production)
## 7612 We are exploring ML methods (and may one day put a model into production)
## 7613 We have well established ML methods (i.e., models in production for more than 2 years)
## 7614 <NA>
## 7615 <NA>
## 7616 We have well established ML methods (i.e., models in production for more than 2 years)
## 7617 No (we do not use ML methods)
## 7618 <NA>
## 7619 We have well established ML methods (i.e., models in production for more than 2 years)
## 7620 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7621 <NA>
## 7622 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7623 We use ML methods for generating insights (but do not put working models into production)
## 7624 I do not know
## 7625 We use ML methods for generating insights (but do not put working models into production)
## 7626 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7627 We use ML methods for generating insights (but do not put working models into production)
## 7628 <NA>
## 7629 We are exploring ML methods (and may one day put a model into production)
## 7630 We have well established ML methods (i.e., models in production for more than 2 years)
## 7631 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7632 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7633 <NA>
## 7634 We have well established ML methods (i.e., models in production for more than 2 years)
## 7635 We have well established ML methods (i.e., models in production for more than 2 years)
## 7636 <NA>
## 7637 <NA>
## 7638 <NA>
## 7639 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7640 We use ML methods for generating insights (but do not put working models into production)
## 7641 No (we do not use ML methods)
## 7642 We have well established ML methods (i.e., models in production for more than 2 years)
## 7643 We are exploring ML methods (and may one day put a model into production)
## 7644 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7645 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7646 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7647 I do not know
## 7648 <NA>
## 7649 I do not know
## 7650 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7651 We are exploring ML methods (and may one day put a model into production)
## 7652 We have well established ML methods (i.e., models in production for more than 2 years)
## 7653 We are exploring ML methods (and may one day put a model into production)
## 7654 <NA>
## 7655 We are exploring ML methods (and may one day put a model into production)
## 7656 We use ML methods for generating insights (but do not put working models into production)
## 7657 We use ML methods for generating insights (but do not put working models into production)
## 7658 I do not know
## 7659 We are exploring ML methods (and may one day put a model into production)
## 7660 <NA>
## 7661 We have well established ML methods (i.e., models in production for more than 2 years)
## 7662 No (we do not use ML methods)
## 7663 We are exploring ML methods (and may one day put a model into production)
## 7664 <NA>
## 7665 We use ML methods for generating insights (but do not put working models into production)
## 7666 We are exploring ML methods (and may one day put a model into production)
## 7667 We are exploring ML methods (and may one day put a model into production)
## 7668 I do not know
## 7669 We have well established ML methods (i.e., models in production for more than 2 years)
## 7670 I do not know
## 7671 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7672 I do not know
## 7673 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7674 We have well established ML methods (i.e., models in production for more than 2 years)
## 7675 We use ML methods for generating insights (but do not put working models into production)
## 7676 No (we do not use ML methods)
## 7677 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7678 We have well established ML methods (i.e., models in production for more than 2 years)
## 7679 <NA>
## 7680 No (we do not use ML methods)
## 7681 We have well established ML methods (i.e., models in production for more than 2 years)
## 7682 We have well established ML methods (i.e., models in production for more than 2 years)
## 7683 No (we do not use ML methods)
## 7684 No (we do not use ML methods)
## 7685 We use ML methods for generating insights (but do not put working models into production)
## 7686 We are exploring ML methods (and may one day put a model into production)
## 7687 We have well established ML methods (i.e., models in production for more than 2 years)
## 7688 <NA>
## 7689 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7690 <NA>
## 7691 We use ML methods for generating insights (but do not put working models into production)
## 7692 <NA>
## 7693 <NA>
## 7694 We are exploring ML methods (and may one day put a model into production)
## 7695 <NA>
## 7696 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7697 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7698 We have well established ML methods (i.e., models in production for more than 2 years)
## 7699 I do not know
## 7700 I do not know
## 7701 We are exploring ML methods (and may one day put a model into production)
## 7702 We use ML methods for generating insights (but do not put working models into production)
## 7703 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7704 We are exploring ML methods (and may one day put a model into production)
## 7705 <NA>
## 7706 I do not know
## 7707 We are exploring ML methods (and may one day put a model into production)
## 7708 No (we do not use ML methods)
## 7709 <NA>
## 7710 We are exploring ML methods (and may one day put a model into production)
## 7711 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7712 We use ML methods for generating insights (but do not put working models into production)
## 7713 We are exploring ML methods (and may one day put a model into production)
## 7714 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7715 We use ML methods for generating insights (but do not put working models into production)
## 7716 I do not know
## 7717 I do not know
## 7718 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7719 We use ML methods for generating insights (but do not put working models into production)
## 7720 We use ML methods for generating insights (but do not put working models into production)
## 7721 <NA>
## 7722 No (we do not use ML methods)
## 7723 No (we do not use ML methods)
## 7724 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7725 No (we do not use ML methods)
## 7726 <NA>
## 7727 <NA>
## 7728 We use ML methods for generating insights (but do not put working models into production)
## 7729 No (we do not use ML methods)
## 7730 We use ML methods for generating insights (but do not put working models into production)
## 7731 We have well established ML methods (i.e., models in production for more than 2 years)
## 7732 We are exploring ML methods (and may one day put a model into production)
## 7733 No (we do not use ML methods)
## 7734 We are exploring ML methods (and may one day put a model into production)
## 7735 <NA>
## 7736 <NA>
## 7737 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7738 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7739 No (we do not use ML methods)
## 7740 We are exploring ML methods (and may one day put a model into production)
## 7741 <NA>
## 7742 We are exploring ML methods (and may one day put a model into production)
## 7743 We are exploring ML methods (and may one day put a model into production)
## 7744 <NA>
## 7745 No (we do not use ML methods)
## 7746 <NA>
## 7747 We are exploring ML methods (and may one day put a model into production)
## 7748 I do not know
## 7749 We are exploring ML methods (and may one day put a model into production)
## 7750 We are exploring ML methods (and may one day put a model into production)
## 7751 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7752 No (we do not use ML methods)
## 7753 We have well established ML methods (i.e., models in production for more than 2 years)
## 7754 <NA>
## 7755 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7756 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7757 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7758 <NA>
## 7759 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7760 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7761 <NA>
## 7762 We use ML methods for generating insights (but do not put working models into production)
## 7763 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7764 We are exploring ML methods (and may one day put a model into production)
## 7765 <NA>
## 7766 We have well established ML methods (i.e., models in production for more than 2 years)
## 7767 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7768 We are exploring ML methods (and may one day put a model into production)
## 7769 <NA>
## 7770 We are exploring ML methods (and may one day put a model into production)
## 7771 <NA>
## 7772 We have well established ML methods (i.e., models in production for more than 2 years)
## 7773 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7774 We are exploring ML methods (and may one day put a model into production)
## 7775 We use ML methods for generating insights (but do not put working models into production)
## 7776 We are exploring ML methods (and may one day put a model into production)
## 7777 <NA>
## 7778 <NA>
## 7779 I do not know
## 7780 No (we do not use ML methods)
## 7781 We are exploring ML methods (and may one day put a model into production)
## 7782 We are exploring ML methods (and may one day put a model into production)
## 7783 We use ML methods for generating insights (but do not put working models into production)
## 7784 We use ML methods for generating insights (but do not put working models into production)
## 7785 We are exploring ML methods (and may one day put a model into production)
## 7786 We have well established ML methods (i.e., models in production for more than 2 years)
## 7787 We have well established ML methods (i.e., models in production for more than 2 years)
## 7788 No (we do not use ML methods)
## 7789 <NA>
## 7790 No (we do not use ML methods)
## 7791 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7792 <NA>
## 7793 No (we do not use ML methods)
## 7794 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7795 <NA>
## 7796 No (we do not use ML methods)
## 7797 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7798 We are exploring ML methods (and may one day put a model into production)
## 7799 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7800 <NA>
## 7801 We have well established ML methods (i.e., models in production for more than 2 years)
## 7802 <NA>
## 7803 We have well established ML methods (i.e., models in production for more than 2 years)
## 7804 <NA>
## 7805 No (we do not use ML methods)
## 7806 <NA>
## 7807 <NA>
## 7808 We have well established ML methods (i.e., models in production for more than 2 years)
## 7809 We are exploring ML methods (and may one day put a model into production)
## 7810 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7811 <NA>
## 7812 We have well established ML methods (i.e., models in production for more than 2 years)
## 7813 We use ML methods for generating insights (but do not put working models into production)
## 7814 We use ML methods for generating insights (but do not put working models into production)
## 7815 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7816 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7817 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7818 <NA>
## 7819 We are exploring ML methods (and may one day put a model into production)
## 7820 We are exploring ML methods (and may one day put a model into production)
## 7821 No (we do not use ML methods)
## 7822 No (we do not use ML methods)
## 7823 We use ML methods for generating insights (but do not put working models into production)
## 7824 We use ML methods for generating insights (but do not put working models into production)
## 7825 We have well established ML methods (i.e., models in production for more than 2 years)
## 7826 We are exploring ML methods (and may one day put a model into production)
## 7827 We are exploring ML methods (and may one day put a model into production)
## 7828 We use ML methods for generating insights (but do not put working models into production)
## 7829 No (we do not use ML methods)
## 7830 No (we do not use ML methods)
## 7831 We are exploring ML methods (and may one day put a model into production)
## 7832 We are exploring ML methods (and may one day put a model into production)
## 7833 <NA>
## 7834 We have well established ML methods (i.e., models in production for more than 2 years)
## 7835 No (we do not use ML methods)
## 7836 <NA>
## 7837 We are exploring ML methods (and may one day put a model into production)
## 7838 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7839 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7840 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7841 <NA>
## 7842 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7843 No (we do not use ML methods)
## 7844 <NA>
## 7845 We are exploring ML methods (and may one day put a model into production)
## 7846 We have well established ML methods (i.e., models in production for more than 2 years)
## 7847 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7848 No (we do not use ML methods)
## 7849 <NA>
## 7850 We are exploring ML methods (and may one day put a model into production)
## 7851 We are exploring ML methods (and may one day put a model into production)
## 7852 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7853 We have well established ML methods (i.e., models in production for more than 2 years)
## 7854 We use ML methods for generating insights (but do not put working models into production)
## 7855 No (we do not use ML methods)
## 7856 No (we do not use ML methods)
## 7857 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7858 We are exploring ML methods (and may one day put a model into production)
## 7859 We use ML methods for generating insights (but do not put working models into production)
## 7860 <NA>
## 7861 We use ML methods for generating insights (but do not put working models into production)
## 7862 We use ML methods for generating insights (but do not put working models into production)
## 7863 <NA>
## 7864 We are exploring ML methods (and may one day put a model into production)
## 7865 <NA>
## 7866 No (we do not use ML methods)
## 7867 <NA>
## 7868 No (we do not use ML methods)
## 7869 We are exploring ML methods (and may one day put a model into production)
## 7870 We are exploring ML methods (and may one day put a model into production)
## 7871 We have well established ML methods (i.e., models in production for more than 2 years)
## 7872 <NA>
## 7873 We have well established ML methods (i.e., models in production for more than 2 years)
## 7874 We are exploring ML methods (and may one day put a model into production)
## 7875 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7876 <NA>
## 7877 No (we do not use ML methods)
## 7878 <NA>
## 7879 <NA>
## 7880 We are exploring ML methods (and may one day put a model into production)
## 7881 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7882 We use ML methods for generating insights (but do not put working models into production)
## 7883 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7884 <NA>
## 7885 No (we do not use ML methods)
## 7886 We are exploring ML methods (and may one day put a model into production)
## 7887 We are exploring ML methods (and may one day put a model into production)
## 7888 <NA>
## 7889 We have well established ML methods (i.e., models in production for more than 2 years)
## 7890 <NA>
## 7891 We are exploring ML methods (and may one day put a model into production)
## 7892 <NA>
## 7893 <NA>
## 7894 We are exploring ML methods (and may one day put a model into production)
## 7895 No (we do not use ML methods)
## 7896 <NA>
## 7897 <NA>
## 7898 We have well established ML methods (i.e., models in production for more than 2 years)
## 7899 <NA>
## 7900 No (we do not use ML methods)
## 7901 No (we do not use ML methods)
## 7902 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7903 We use ML methods for generating insights (but do not put working models into production)
## 7904 No (we do not use ML methods)
## 7905 We use ML methods for generating insights (but do not put working models into production)
## 7906 We have well established ML methods (i.e., models in production for more than 2 years)
## 7907 <NA>
## 7908 We have well established ML methods (i.e., models in production for more than 2 years)
## 7909 We have well established ML methods (i.e., models in production for more than 2 years)
## 7910 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7911 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7912 We are exploring ML methods (and may one day put a model into production)
## 7913 <NA>
## 7914 <NA>
## 7915 We have well established ML methods (i.e., models in production for more than 2 years)
## 7916 We are exploring ML methods (and may one day put a model into production)
## 7917 <NA>
## 7918 We use ML methods for generating insights (but do not put working models into production)
## 7919 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7920 <NA>
## 7921 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7922 We are exploring ML methods (and may one day put a model into production)
## 7923 I do not know
## 7924 We use ML methods for generating insights (but do not put working models into production)
## 7925 We use ML methods for generating insights (but do not put working models into production)
## 7926 No (we do not use ML methods)
## 7927 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7928 We have well established ML methods (i.e., models in production for more than 2 years)
## 7929 We have well established ML methods (i.e., models in production for more than 2 years)
## 7930 We are exploring ML methods (and may one day put a model into production)
## 7931 No (we do not use ML methods)
## 7932 We use ML methods for generating insights (but do not put working models into production)
## 7933 We use ML methods for generating insights (but do not put working models into production)
## 7934 <NA>
## 7935 <NA>
## 7936 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7937 We have well established ML methods (i.e., models in production for more than 2 years)
## 7938 No (we do not use ML methods)
## 7939 We have well established ML methods (i.e., models in production for more than 2 years)
## 7940 We are exploring ML methods (and may one day put a model into production)
## 7941 We are exploring ML methods (and may one day put a model into production)
## 7942 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7943 <NA>
## 7944 We have well established ML methods (i.e., models in production for more than 2 years)
## 7945 <NA>
## 7946 <NA>
## 7947 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7948 No (we do not use ML methods)
## 7949 We use ML methods for generating insights (but do not put working models into production)
## 7950 I do not know
## 7951 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7952 We use ML methods for generating insights (but do not put working models into production)
## 7953 No (we do not use ML methods)
## 7954 We use ML methods for generating insights (but do not put working models into production)
## 7955 We are exploring ML methods (and may one day put a model into production)
## 7956 <NA>
## 7957 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7958 <NA>
## 7959 We are exploring ML methods (and may one day put a model into production)
## 7960 We are exploring ML methods (and may one day put a model into production)
## 7961 We are exploring ML methods (and may one day put a model into production)
## 7962 We have well established ML methods (i.e., models in production for more than 2 years)
## 7963 <NA>
## 7964 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7965 We use ML methods for generating insights (but do not put working models into production)
## 7966 I do not know
## 7967 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7968 We have well established ML methods (i.e., models in production for more than 2 years)
## 7969 We have well established ML methods (i.e., models in production for more than 2 years)
## 7970 We are exploring ML methods (and may one day put a model into production)
## 7971 No (we do not use ML methods)
## 7972 We use ML methods for generating insights (but do not put working models into production)
## 7973 We use ML methods for generating insights (but do not put working models into production)
## 7974 We have well established ML methods (i.e., models in production for more than 2 years)
## 7975 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7976 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7977 We are exploring ML methods (and may one day put a model into production)
## 7978 We are exploring ML methods (and may one day put a model into production)
## 7979 We are exploring ML methods (and may one day put a model into production)
## 7980 No (we do not use ML methods)
## 7981 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7982 <NA>
## 7983 We have well established ML methods (i.e., models in production for more than 2 years)
## 7984 I do not know
## 7985 <NA>
## 7986 No (we do not use ML methods)
## 7987 No (we do not use ML methods)
## 7988 <NA>
## 7989 No (we do not use ML methods)
## 7990 We have well established ML methods (i.e., models in production for more than 2 years)
## 7991 We use ML methods for generating insights (but do not put working models into production)
## 7992 <NA>
## 7993 <NA>
## 7994 <NA>
## 7995 We are exploring ML methods (and may one day put a model into production)
## 7996 We have well established ML methods (i.e., models in production for more than 2 years)
## 7997 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7998 We recently started using ML methods (i.e., models in production for less than 2 years)
## 7999 No (we do not use ML methods)
## 8000 We have well established ML methods (i.e., models in production for more than 2 years)
## 8001 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8002 We are exploring ML methods (and may one day put a model into production)
## 8003 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8004 We are exploring ML methods (and may one day put a model into production)
## 8005 We have well established ML methods (i.e., models in production for more than 2 years)
## 8006 We have well established ML methods (i.e., models in production for more than 2 years)
## 8007 <NA>
## 8008 No (we do not use ML methods)
## 8009 No (we do not use ML methods)
## 8010 <NA>
## 8011 No (we do not use ML methods)
## 8012 <NA>
## 8013 We are exploring ML methods (and may one day put a model into production)
## 8014 <NA>
## 8015 We are exploring ML methods (and may one day put a model into production)
## 8016 We are exploring ML methods (and may one day put a model into production)
## 8017 <NA>
## 8018 We are exploring ML methods (and may one day put a model into production)
## 8019 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8020 No (we do not use ML methods)
## 8021 <NA>
## 8022 We have well established ML methods (i.e., models in production for more than 2 years)
## 8023 We are exploring ML methods (and may one day put a model into production)
## 8024 We have well established ML methods (i.e., models in production for more than 2 years)
## 8025 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8026 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8027 We are exploring ML methods (and may one day put a model into production)
## 8028 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8029 We use ML methods for generating insights (but do not put working models into production)
## 8030 We are exploring ML methods (and may one day put a model into production)
## 8031 I do not know
## 8032 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8033 We are exploring ML methods (and may one day put a model into production)
## 8034 We use ML methods for generating insights (but do not put working models into production)
## 8035 No (we do not use ML methods)
## 8036 We are exploring ML methods (and may one day put a model into production)
## 8037 We are exploring ML methods (and may one day put a model into production)
## 8038 We use ML methods for generating insights (but do not put working models into production)
## 8039 No (we do not use ML methods)
## 8040 <NA>
## 8041 We are exploring ML methods (and may one day put a model into production)
## 8042 I do not know
## 8043 <NA>
## 8044 No (we do not use ML methods)
## 8045 <NA>
## 8046 <NA>
## 8047 I do not know
## 8048 We have well established ML methods (i.e., models in production for more than 2 years)
## 8049 No (we do not use ML methods)
## 8050 We are exploring ML methods (and may one day put a model into production)
## 8051 We have well established ML methods (i.e., models in production for more than 2 years)
## 8052 We have well established ML methods (i.e., models in production for more than 2 years)
## 8053 We have well established ML methods (i.e., models in production for more than 2 years)
## 8054 We use ML methods for generating insights (but do not put working models into production)
## 8055 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8056 We are exploring ML methods (and may one day put a model into production)
## 8057 I do not know
## 8058 No (we do not use ML methods)
## 8059 We are exploring ML methods (and may one day put a model into production)
## 8060 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8061 <NA>
## 8062 We use ML methods for generating insights (but do not put working models into production)
## 8063 We are exploring ML methods (and may one day put a model into production)
## 8064 I do not know
## 8065 We use ML methods for generating insights (but do not put working models into production)
## 8066 We are exploring ML methods (and may one day put a model into production)
## 8067 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8068 We are exploring ML methods (and may one day put a model into production)
## 8069 No (we do not use ML methods)
## 8070 <NA>
## 8071 I do not know
## 8072 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8073 No (we do not use ML methods)
## 8074 <NA>
## 8075 No (we do not use ML methods)
## 8076 We use ML methods for generating insights (but do not put working models into production)
## 8077 <NA>
## 8078 We have well established ML methods (i.e., models in production for more than 2 years)
## 8079 We use ML methods for generating insights (but do not put working models into production)
## 8080 <NA>
## 8081 I do not know
## 8082 We have well established ML methods (i.e., models in production for more than 2 years)
## 8083 <NA>
## 8084 <NA>
## 8085 No (we do not use ML methods)
## 8086 <NA>
## 8087 We have well established ML methods (i.e., models in production for more than 2 years)
## 8088 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8089 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8090 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8091 We are exploring ML methods (and may one day put a model into production)
## 8092 We use ML methods for generating insights (but do not put working models into production)
## 8093 <NA>
## 8094 No (we do not use ML methods)
## 8095 No (we do not use ML methods)
## 8096 We are exploring ML methods (and may one day put a model into production)
## 8097 We use ML methods for generating insights (but do not put working models into production)
## 8098 We use ML methods for generating insights (but do not put working models into production)
## 8099 No (we do not use ML methods)
## 8100 We have well established ML methods (i.e., models in production for more than 2 years)
## 8101 We are exploring ML methods (and may one day put a model into production)
## 8102 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8103 <NA>
## 8104 We are exploring ML methods (and may one day put a model into production)
## 8105 We use ML methods for generating insights (but do not put working models into production)
## 8106 We are exploring ML methods (and may one day put a model into production)
## 8107 We have well established ML methods (i.e., models in production for more than 2 years)
## 8108 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8109 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8110 No (we do not use ML methods)
## 8111 We have well established ML methods (i.e., models in production for more than 2 years)
## 8112 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8113 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8114 No (we do not use ML methods)
## 8115 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8116 We are exploring ML methods (and may one day put a model into production)
## 8117 No (we do not use ML methods)
## 8118 No (we do not use ML methods)
## 8119 <NA>
## 8120 We are exploring ML methods (and may one day put a model into production)
## 8121 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8122 No (we do not use ML methods)
## 8123 <NA>
## 8124 <NA>
## 8125 We are exploring ML methods (and may one day put a model into production)
## 8126 We have well established ML methods (i.e., models in production for more than 2 years)
## 8127 We are exploring ML methods (and may one day put a model into production)
## 8128 We have well established ML methods (i.e., models in production for more than 2 years)
## 8129 No (we do not use ML methods)
## 8130 <NA>
## 8131 We are exploring ML methods (and may one day put a model into production)
## 8132 We have well established ML methods (i.e., models in production for more than 2 years)
## 8133 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8134 <NA>
## 8135 <NA>
## 8136 We are exploring ML methods (and may one day put a model into production)
## 8137 <NA>
## 8138 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8139 We have well established ML methods (i.e., models in production for more than 2 years)
## 8140 We are exploring ML methods (and may one day put a model into production)
## 8141 We use ML methods for generating insights (but do not put working models into production)
## 8142 We use ML methods for generating insights (but do not put working models into production)
## 8143 No (we do not use ML methods)
## 8144 No (we do not use ML methods)
## 8145 We have well established ML methods (i.e., models in production for more than 2 years)
## 8146 We have well established ML methods (i.e., models in production for more than 2 years)
## 8147 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8148 <NA>
## 8149 No (we do not use ML methods)
## 8150 We are exploring ML methods (and may one day put a model into production)
## 8151 No (we do not use ML methods)
## 8152 <NA>
## 8153 <NA>
## 8154 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8155 We use ML methods for generating insights (but do not put working models into production)
## 8156 <NA>
## 8157 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8158 We are exploring ML methods (and may one day put a model into production)
## 8159 We have well established ML methods (i.e., models in production for more than 2 years)
## 8160 We use ML methods for generating insights (but do not put working models into production)
## 8161 We use ML methods for generating insights (but do not put working models into production)
## 8162 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8163 We are exploring ML methods (and may one day put a model into production)
## 8164 No (we do not use ML methods)
## 8165 No (we do not use ML methods)
## 8166 <NA>
## 8167 <NA>
## 8168 We have well established ML methods (i.e., models in production for more than 2 years)
## 8169 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8170 I do not know
## 8171 <NA>
## 8172 We have well established ML methods (i.e., models in production for more than 2 years)
## 8173 We have well established ML methods (i.e., models in production for more than 2 years)
## 8174 We are exploring ML methods (and may one day put a model into production)
## 8175 <NA>
## 8176 No (we do not use ML methods)
## 8177 We have well established ML methods (i.e., models in production for more than 2 years)
## 8178 I do not know
## 8179 We are exploring ML methods (and may one day put a model into production)
## 8180 We are exploring ML methods (and may one day put a model into production)
## 8181 No (we do not use ML methods)
## 8182 We are exploring ML methods (and may one day put a model into production)
## 8183 <NA>
## 8184 <NA>
## 8185 We are exploring ML methods (and may one day put a model into production)
## 8186 We are exploring ML methods (and may one day put a model into production)
## 8187 We use ML methods for generating insights (but do not put working models into production)
## 8188 I do not know
## 8189 No (we do not use ML methods)
## 8190 <NA>
## 8191 <NA>
## 8192 I do not know
## 8193 We use ML methods for generating insights (but do not put working models into production)
## 8194 We use ML methods for generating insights (but do not put working models into production)
## 8195 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8196 We have well established ML methods (i.e., models in production for more than 2 years)
## 8197 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8198 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8199 We are exploring ML methods (and may one day put a model into production)
## 8200 <NA>
## 8201 We use ML methods for generating insights (but do not put working models into production)
## 8202 <NA>
## 8203 We have well established ML methods (i.e., models in production for more than 2 years)
## 8204 No (we do not use ML methods)
## 8205 We use ML methods for generating insights (but do not put working models into production)
## 8206 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8207 We have well established ML methods (i.e., models in production for more than 2 years)
## 8208 No (we do not use ML methods)
## 8209 <NA>
## 8210 We are exploring ML methods (and may one day put a model into production)
## 8211 We are exploring ML methods (and may one day put a model into production)
## 8212 We have well established ML methods (i.e., models in production for more than 2 years)
## 8213 No (we do not use ML methods)
## 8214 We have well established ML methods (i.e., models in production for more than 2 years)
## 8215 We are exploring ML methods (and may one day put a model into production)
## 8216 <NA>
## 8217 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8218 We have well established ML methods (i.e., models in production for more than 2 years)
## 8219 We use ML methods for generating insights (but do not put working models into production)
## 8220 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8221 <NA>
## 8222 I do not know
## 8223 We have well established ML methods (i.e., models in production for more than 2 years)
## 8224 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8225 <NA>
## 8226 We have well established ML methods (i.e., models in production for more than 2 years)
## 8227 No (we do not use ML methods)
## 8228 <NA>
## 8229 We have well established ML methods (i.e., models in production for more than 2 years)
## 8230 We are exploring ML methods (and may one day put a model into production)
## 8231 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8232 No (we do not use ML methods)
## 8233 We use ML methods for generating insights (but do not put working models into production)
## 8234 We have well established ML methods (i.e., models in production for more than 2 years)
## 8235 We have well established ML methods (i.e., models in production for more than 2 years)
## 8236 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8237 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8238 <NA>
## 8239 We have well established ML methods (i.e., models in production for more than 2 years)
## 8240 No (we do not use ML methods)
## 8241 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8242 We are exploring ML methods (and may one day put a model into production)
## 8243 We have well established ML methods (i.e., models in production for more than 2 years)
## 8244 I do not know
## 8245 We are exploring ML methods (and may one day put a model into production)
## 8246 No (we do not use ML methods)
## 8247 <NA>
## 8248 <NA>
## 8249 We have well established ML methods (i.e., models in production for more than 2 years)
## 8250 <NA>
## 8251 No (we do not use ML methods)
## 8252 We use ML methods for generating insights (but do not put working models into production)
## 8253 I do not know
## 8254 We are exploring ML methods (and may one day put a model into production)
## 8255 No (we do not use ML methods)
## 8256 We have well established ML methods (i.e., models in production for more than 2 years)
## 8257 <NA>
## 8258 No (we do not use ML methods)
## 8259 We have well established ML methods (i.e., models in production for more than 2 years)
## 8260 We use ML methods for generating insights (but do not put working models into production)
## 8261 <NA>
## 8262 I do not know
## 8263 No (we do not use ML methods)
## 8264 We are exploring ML methods (and may one day put a model into production)
## 8265 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8266 <NA>
## 8267 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8268 <NA>
## 8269 We use ML methods for generating insights (but do not put working models into production)
## 8270 <NA>
## 8271 We have well established ML methods (i.e., models in production for more than 2 years)
## 8272 We are exploring ML methods (and may one day put a model into production)
## 8273 No (we do not use ML methods)
## 8274 <NA>
## 8275 We have well established ML methods (i.e., models in production for more than 2 years)
## 8276 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8277 We have well established ML methods (i.e., models in production for more than 2 years)
## 8278 We have well established ML methods (i.e., models in production for more than 2 years)
## 8279 We are exploring ML methods (and may one day put a model into production)
## 8280 <NA>
## 8281 <NA>
## 8282 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8283 We use ML methods for generating insights (but do not put working models into production)
## 8284 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8285 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8286 We use ML methods for generating insights (but do not put working models into production)
## 8287 <NA>
## 8288 <NA>
## 8289 We use ML methods for generating insights (but do not put working models into production)
## 8290 We use ML methods for generating insights (but do not put working models into production)
## 8291 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8292 <NA>
## 8293 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8294 We use ML methods for generating insights (but do not put working models into production)
## 8295 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8296 I do not know
## 8297 We are exploring ML methods (and may one day put a model into production)
## 8298 I do not know
## 8299 We have well established ML methods (i.e., models in production for more than 2 years)
## 8300 We use ML methods for generating insights (but do not put working models into production)
## 8301 <NA>
## 8302 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8303 No (we do not use ML methods)
## 8304 <NA>
## 8305 We have well established ML methods (i.e., models in production for more than 2 years)
## 8306 <NA>
## 8307 We use ML methods for generating insights (but do not put working models into production)
## 8308 No (we do not use ML methods)
## 8309 <NA>
## 8310 No (we do not use ML methods)
## 8311 I do not know
## 8312 No (we do not use ML methods)
## 8313 We have well established ML methods (i.e., models in production for more than 2 years)
## 8314 We use ML methods for generating insights (but do not put working models into production)
## 8315 We use ML methods for generating insights (but do not put working models into production)
## 8316 We are exploring ML methods (and may one day put a model into production)
## 8317 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8318 We are exploring ML methods (and may one day put a model into production)
## 8319 I do not know
## 8320 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8321 <NA>
## 8322 <NA>
## 8323 We are exploring ML methods (and may one day put a model into production)
## 8324 <NA>
## 8325 We are exploring ML methods (and may one day put a model into production)
## 8326 <NA>
## 8327 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8328 We have well established ML methods (i.e., models in production for more than 2 years)
## 8329 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8330 <NA>
## 8331 No (we do not use ML methods)
## 8332 We are exploring ML methods (and may one day put a model into production)
## 8333 No (we do not use ML methods)
## 8334 We have well established ML methods (i.e., models in production for more than 2 years)
## 8335 <NA>
## 8336 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8337 We are exploring ML methods (and may one day put a model into production)
## 8338 No (we do not use ML methods)
## 8339 We are exploring ML methods (and may one day put a model into production)
## 8340 We use ML methods for generating insights (but do not put working models into production)
## 8341 <NA>
## 8342 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8343 We are exploring ML methods (and may one day put a model into production)
## 8344 I do not know
## 8345 No (we do not use ML methods)
## 8346 We are exploring ML methods (and may one day put a model into production)
## 8347 No (we do not use ML methods)
## 8348 No (we do not use ML methods)
## 8349 <NA>
## 8350 <NA>
## 8351 <NA>
## 8352 No (we do not use ML methods)
## 8353 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8354 No (we do not use ML methods)
## 8355 We have well established ML methods (i.e., models in production for more than 2 years)
## 8356 <NA>
## 8357 We have well established ML methods (i.e., models in production for more than 2 years)
## 8358 <NA>
## 8359 I do not know
## 8360 We use ML methods for generating insights (but do not put working models into production)
## 8361 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8362 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8363 We have well established ML methods (i.e., models in production for more than 2 years)
## 8364 No (we do not use ML methods)
## 8365 <NA>
## 8366 <NA>
## 8367 We have well established ML methods (i.e., models in production for more than 2 years)
## 8368 We have well established ML methods (i.e., models in production for more than 2 years)
## 8369 We use ML methods for generating insights (but do not put working models into production)
## 8370 We use ML methods for generating insights (but do not put working models into production)
## 8371 We have well established ML methods (i.e., models in production for more than 2 years)
## 8372 I do not know
## 8373 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8374 <NA>
## 8375 We have well established ML methods (i.e., models in production for more than 2 years)
## 8376 We are exploring ML methods (and may one day put a model into production)
## 8377 We are exploring ML methods (and may one day put a model into production)
## 8378 <NA>
## 8379 <NA>
## 8380 <NA>
## 8381 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8382 <NA>
## 8383 <NA>
## 8384 No (we do not use ML methods)
## 8385 We are exploring ML methods (and may one day put a model into production)
## 8386 We have well established ML methods (i.e., models in production for more than 2 years)
## 8387 We are exploring ML methods (and may one day put a model into production)
## 8388 We have well established ML methods (i.e., models in production for more than 2 years)
## 8389 We use ML methods for generating insights (but do not put working models into production)
## 8390 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8391 We are exploring ML methods (and may one day put a model into production)
## 8392 <NA>
## 8393 We use ML methods for generating insights (but do not put working models into production)
## 8394 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8395 <NA>
## 8396 We have well established ML methods (i.e., models in production for more than 2 years)
## 8397 We are exploring ML methods (and may one day put a model into production)
## 8398 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8399 I do not know
## 8400 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8401 No (we do not use ML methods)
## 8402 We have well established ML methods (i.e., models in production for more than 2 years)
## 8403 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8404 No (we do not use ML methods)
## 8405 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8406 We are exploring ML methods (and may one day put a model into production)
## 8407 I do not know
## 8408 No (we do not use ML methods)
## 8409 I do not know
## 8410 We are exploring ML methods (and may one day put a model into production)
## 8411 We are exploring ML methods (and may one day put a model into production)
## 8412 We have well established ML methods (i.e., models in production for more than 2 years)
## 8413 I do not know
## 8414 No (we do not use ML methods)
## 8415 We are exploring ML methods (and may one day put a model into production)
## 8416 No (we do not use ML methods)
## 8417 We have well established ML methods (i.e., models in production for more than 2 years)
## 8418 <NA>
## 8419 <NA>
## 8420 <NA>
## 8421 We are exploring ML methods (and may one day put a model into production)
## 8422 We are exploring ML methods (and may one day put a model into production)
## 8423 <NA>
## 8424 We have well established ML methods (i.e., models in production for more than 2 years)
## 8425 <NA>
## 8426 We are exploring ML methods (and may one day put a model into production)
## 8427 <NA>
## 8428 We are exploring ML methods (and may one day put a model into production)
## 8429 <NA>
## 8430 We have well established ML methods (i.e., models in production for more than 2 years)
## 8431 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8432 No (we do not use ML methods)
## 8433 We have well established ML methods (i.e., models in production for more than 2 years)
## 8434 We have well established ML methods (i.e., models in production for more than 2 years)
## 8435 We have well established ML methods (i.e., models in production for more than 2 years)
## 8436 We have well established ML methods (i.e., models in production for more than 2 years)
## 8437 No (we do not use ML methods)
## 8438 <NA>
## 8439 <NA>
## 8440 We have well established ML methods (i.e., models in production for more than 2 years)
## 8441 We are exploring ML methods (and may one day put a model into production)
## 8442 No (we do not use ML methods)
## 8443 We have well established ML methods (i.e., models in production for more than 2 years)
## 8444 We are exploring ML methods (and may one day put a model into production)
## 8445 We are exploring ML methods (and may one day put a model into production)
## 8446 We are exploring ML methods (and may one day put a model into production)
## 8447 We are exploring ML methods (and may one day put a model into production)
## 8448 We have well established ML methods (i.e., models in production for more than 2 years)
## 8449 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8450 <NA>
## 8451 No (we do not use ML methods)
## 8452 We are exploring ML methods (and may one day put a model into production)
## 8453 We use ML methods for generating insights (but do not put working models into production)
## 8454 We are exploring ML methods (and may one day put a model into production)
## 8455 We have well established ML methods (i.e., models in production for more than 2 years)
## 8456 <NA>
## 8457 <NA>
## 8458 I do not know
## 8459 <NA>
## 8460 I do not know
## 8461 <NA>
## 8462 No (we do not use ML methods)
## 8463 No (we do not use ML methods)
## 8464 We are exploring ML methods (and may one day put a model into production)
## 8465 We use ML methods for generating insights (but do not put working models into production)
## 8466 We use ML methods for generating insights (but do not put working models into production)
## 8467 <NA>
## 8468 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8469 <NA>
## 8470 We have well established ML methods (i.e., models in production for more than 2 years)
## 8471 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8472 We have well established ML methods (i.e., models in production for more than 2 years)
## 8473 We are exploring ML methods (and may one day put a model into production)
## 8474 <NA>
## 8475 We use ML methods for generating insights (but do not put working models into production)
## 8476 No (we do not use ML methods)
## 8477 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8478 We use ML methods for generating insights (but do not put working models into production)
## 8479 I do not know
## 8480 No (we do not use ML methods)
## 8481 We have well established ML methods (i.e., models in production for more than 2 years)
## 8482 I do not know
## 8483 I do not know
## 8484 We are exploring ML methods (and may one day put a model into production)
## 8485 No (we do not use ML methods)
## 8486 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8487 <NA>
## 8488 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8489 We are exploring ML methods (and may one day put a model into production)
## 8490 <NA>
## 8491 We have well established ML methods (i.e., models in production for more than 2 years)
## 8492 <NA>
## 8493 We have well established ML methods (i.e., models in production for more than 2 years)
## 8494 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8495 We use ML methods for generating insights (but do not put working models into production)
## 8496 <NA>
## 8497 We are exploring ML methods (and may one day put a model into production)
## 8498 No (we do not use ML methods)
## 8499 We are exploring ML methods (and may one day put a model into production)
## 8500 We have well established ML methods (i.e., models in production for more than 2 years)
## 8501 We are exploring ML methods (and may one day put a model into production)
## 8502 We use ML methods for generating insights (but do not put working models into production)
## 8503 <NA>
## 8504 We have well established ML methods (i.e., models in production for more than 2 years)
## 8505 <NA>
## 8506 We are exploring ML methods (and may one day put a model into production)
## 8507 No (we do not use ML methods)
## 8508 <NA>
## 8509 We use ML methods for generating insights (but do not put working models into production)
## 8510 We use ML methods for generating insights (but do not put working models into production)
## 8511 We are exploring ML methods (and may one day put a model into production)
## 8512 <NA>
## 8513 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8514 We are exploring ML methods (and may one day put a model into production)
## 8515 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8516 We are exploring ML methods (and may one day put a model into production)
## 8517 We are exploring ML methods (and may one day put a model into production)
## 8518 We have well established ML methods (i.e., models in production for more than 2 years)
## 8519 <NA>
## 8520 We have well established ML methods (i.e., models in production for more than 2 years)
## 8521 <NA>
## 8522 No (we do not use ML methods)
## 8523 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8524 <NA>
## 8525 No (we do not use ML methods)
## 8526 <NA>
## 8527 We use ML methods for generating insights (but do not put working models into production)
## 8528 <NA>
## 8529 <NA>
## 8530 No (we do not use ML methods)
## 8531 No (we do not use ML methods)
## 8532 We use ML methods for generating insights (but do not put working models into production)
## 8533 We are exploring ML methods (and may one day put a model into production)
## 8534 We are exploring ML methods (and may one day put a model into production)
## 8535 We are exploring ML methods (and may one day put a model into production)
## 8536 We have well established ML methods (i.e., models in production for more than 2 years)
## 8537 We have well established ML methods (i.e., models in production for more than 2 years)
## 8538 <NA>
## 8539 <NA>
## 8540 No (we do not use ML methods)
## 8541 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8542 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8543 <NA>
## 8544 <NA>
## 8545 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8546 I do not know
## 8547 <NA>
## 8548 No (we do not use ML methods)
## 8549 We are exploring ML methods (and may one day put a model into production)
## 8550 <NA>
## 8551 We use ML methods for generating insights (but do not put working models into production)
## 8552 I do not know
## 8553 We are exploring ML methods (and may one day put a model into production)
## 8554 We use ML methods for generating insights (but do not put working models into production)
## 8555 We are exploring ML methods (and may one day put a model into production)
## 8556 <NA>
## 8557 We have well established ML methods (i.e., models in production for more than 2 years)
## 8558 <NA>
## 8559 <NA>
## 8560 No (we do not use ML methods)
## 8561 No (we do not use ML methods)
## 8562 No (we do not use ML methods)
## 8563 I do not know
## 8564 We are exploring ML methods (and may one day put a model into production)
## 8565 <NA>
## 8566 No (we do not use ML methods)
## 8567 No (we do not use ML methods)
## 8568 <NA>
## 8569 We use ML methods for generating insights (but do not put working models into production)
## 8570 I do not know
## 8571 <NA>
## 8572 <NA>
## 8573 No (we do not use ML methods)
## 8574 No (we do not use ML methods)
## 8575 We use ML methods for generating insights (but do not put working models into production)
## 8576 We have well established ML methods (i.e., models in production for more than 2 years)
## 8577 No (we do not use ML methods)
## 8578 I do not know
## 8579 <NA>
## 8580 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8581 <NA>
## 8582 We use ML methods for generating insights (but do not put working models into production)
## 8583 We are exploring ML methods (and may one day put a model into production)
## 8584 No (we do not use ML methods)
## 8585 No (we do not use ML methods)
## 8586 <NA>
## 8587 No (we do not use ML methods)
## 8588 We are exploring ML methods (and may one day put a model into production)
## 8589 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8590 We are exploring ML methods (and may one day put a model into production)
## 8591 <NA>
## 8592 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8593 No (we do not use ML methods)
## 8594 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8595 <NA>
## 8596 No (we do not use ML methods)
## 8597 We are exploring ML methods (and may one day put a model into production)
## 8598 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8599 We are exploring ML methods (and may one day put a model into production)
## 8600 No (we do not use ML methods)
## 8601 <NA>
## 8602 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8603 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8604 No (we do not use ML methods)
## 8605 No (we do not use ML methods)
## 8606 We are exploring ML methods (and may one day put a model into production)
## 8607 We are exploring ML methods (and may one day put a model into production)
## 8608 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8609 I do not know
## 8610 No (we do not use ML methods)
## 8611 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8612 No (we do not use ML methods)
## 8613 No (we do not use ML methods)
## 8614 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8615 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8616 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8617 We are exploring ML methods (and may one day put a model into production)
## 8618 We are exploring ML methods (and may one day put a model into production)
## 8619 I do not know
## 8620 <NA>
## 8621 I do not know
## 8622 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8623 No (we do not use ML methods)
## 8624 We are exploring ML methods (and may one day put a model into production)
## 8625 We are exploring ML methods (and may one day put a model into production)
## 8626 <NA>
## 8627 No (we do not use ML methods)
## 8628 We have well established ML methods (i.e., models in production for more than 2 years)
## 8629 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8630 <NA>
## 8631 We are exploring ML methods (and may one day put a model into production)
## 8632 I do not know
## 8633 No (we do not use ML methods)
## 8634 We have well established ML methods (i.e., models in production for more than 2 years)
## 8635 We are exploring ML methods (and may one day put a model into production)
## 8636 <NA>
## 8637 We use ML methods for generating insights (but do not put working models into production)
## 8638 We have well established ML methods (i.e., models in production for more than 2 years)
## 8639 <NA>
## 8640 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8641 No (we do not use ML methods)
## 8642 <NA>
## 8643 I do not know
## 8644 We have well established ML methods (i.e., models in production for more than 2 years)
## 8645 We are exploring ML methods (and may one day put a model into production)
## 8646 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8647 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8648 We are exploring ML methods (and may one day put a model into production)
## 8649 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8650 <NA>
## 8651 We have well established ML methods (i.e., models in production for more than 2 years)
## 8652 <NA>
## 8653 <NA>
## 8654 No (we do not use ML methods)
## 8655 <NA>
## 8656 We have well established ML methods (i.e., models in production for more than 2 years)
## 8657 We are exploring ML methods (and may one day put a model into production)
## 8658 We have well established ML methods (i.e., models in production for more than 2 years)
## 8659 No (we do not use ML methods)
## 8660 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8661 We are exploring ML methods (and may one day put a model into production)
## 8662 <NA>
## 8663 <NA>
## 8664 We use ML methods for generating insights (but do not put working models into production)
## 8665 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8666 <NA>
## 8667 We have well established ML methods (i.e., models in production for more than 2 years)
## 8668 No (we do not use ML methods)
## 8669 <NA>
## 8670 I do not know
## 8671 <NA>
## 8672 No (we do not use ML methods)
## 8673 We use ML methods for generating insights (but do not put working models into production)
## 8674 No (we do not use ML methods)
## 8675 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8676 <NA>
## 8677 <NA>
## 8678 No (we do not use ML methods)
## 8679 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8680 <NA>
## 8681 We are exploring ML methods (and may one day put a model into production)
## 8682 I do not know
## 8683 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8684 <NA>
## 8685 We are exploring ML methods (and may one day put a model into production)
## 8686 No (we do not use ML methods)
## 8687 We are exploring ML methods (and may one day put a model into production)
## 8688 No (we do not use ML methods)
## 8689 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8690 We use ML methods for generating insights (but do not put working models into production)
## 8691 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8692 We use ML methods for generating insights (but do not put working models into production)
## 8693 No (we do not use ML methods)
## 8694 We use ML methods for generating insights (but do not put working models into production)
## 8695 <NA>
## 8696 We use ML methods for generating insights (but do not put working models into production)
## 8697 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8698 We have well established ML methods (i.e., models in production for more than 2 years)
## 8699 We have well established ML methods (i.e., models in production for more than 2 years)
## 8700 <NA>
## 8701 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8702 No (we do not use ML methods)
## 8703 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8704 We use ML methods for generating insights (but do not put working models into production)
## 8705 We are exploring ML methods (and may one day put a model into production)
## 8706 We are exploring ML methods (and may one day put a model into production)
## 8707 We have well established ML methods (i.e., models in production for more than 2 years)
## 8708 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8709 We are exploring ML methods (and may one day put a model into production)
## 8710 We are exploring ML methods (and may one day put a model into production)
## 8711 <NA>
## 8712 <NA>
## 8713 I do not know
## 8714 We are exploring ML methods (and may one day put a model into production)
## 8715 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8716 <NA>
## 8717 We are exploring ML methods (and may one day put a model into production)
## 8718 No (we do not use ML methods)
## 8719 No (we do not use ML methods)
## 8720 We are exploring ML methods (and may one day put a model into production)
## 8721 <NA>
## 8722 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8723 We are exploring ML methods (and may one day put a model into production)
## 8724 I do not know
## 8725 <NA>
## 8726 We are exploring ML methods (and may one day put a model into production)
## 8727 We have well established ML methods (i.e., models in production for more than 2 years)
## 8728 No (we do not use ML methods)
## 8729 <NA>
## 8730 We are exploring ML methods (and may one day put a model into production)
## 8731 We use ML methods for generating insights (but do not put working models into production)
## 8732 We use ML methods for generating insights (but do not put working models into production)
## 8733 We use ML methods for generating insights (but do not put working models into production)
## 8734 <NA>
## 8735 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8736 <NA>
## 8737 We are exploring ML methods (and may one day put a model into production)
## 8738 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8739 No (we do not use ML methods)
## 8740 We use ML methods for generating insights (but do not put working models into production)
## 8741 We use ML methods for generating insights (but do not put working models into production)
## 8742 We are exploring ML methods (and may one day put a model into production)
## 8743 <NA>
## 8744 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8745 <NA>
## 8746 <NA>
## 8747 No (we do not use ML methods)
## 8748 No (we do not use ML methods)
## 8749 We have well established ML methods (i.e., models in production for more than 2 years)
## 8750 We have well established ML methods (i.e., models in production for more than 2 years)
## 8751 We use ML methods for generating insights (but do not put working models into production)
## 8752 <NA>
## 8753 No (we do not use ML methods)
## 8754 We use ML methods for generating insights (but do not put working models into production)
## 8755 I do not know
## 8756 <NA>
## 8757 No (we do not use ML methods)
## 8758 We have well established ML methods (i.e., models in production for more than 2 years)
## 8759 We have well established ML methods (i.e., models in production for more than 2 years)
## 8760 <NA>
## 8761 No (we do not use ML methods)
## 8762 We use ML methods for generating insights (but do not put working models into production)
## 8763 No (we do not use ML methods)
## 8764 We have well established ML methods (i.e., models in production for more than 2 years)
## 8765 No (we do not use ML methods)
## 8766 No (we do not use ML methods)
## 8767 We have well established ML methods (i.e., models in production for more than 2 years)
## 8768 No (we do not use ML methods)
## 8769 We have well established ML methods (i.e., models in production for more than 2 years)
## 8770 <NA>
## 8771 We are exploring ML methods (and may one day put a model into production)
## 8772 We have well established ML methods (i.e., models in production for more than 2 years)
## 8773 We use ML methods for generating insights (but do not put working models into production)
## 8774 <NA>
## 8775 We use ML methods for generating insights (but do not put working models into production)
## 8776 We are exploring ML methods (and may one day put a model into production)
## 8777 <NA>
## 8778 We have well established ML methods (i.e., models in production for more than 2 years)
## 8779 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8780 <NA>
## 8781 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8782 <NA>
## 8783 <NA>
## 8784 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8785 We use ML methods for generating insights (but do not put working models into production)
## 8786 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8787 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8788 I do not know
## 8789 No (we do not use ML methods)
## 8790 We have well established ML methods (i.e., models in production for more than 2 years)
## 8791 No (we do not use ML methods)
## 8792 We have well established ML methods (i.e., models in production for more than 2 years)
## 8793 No (we do not use ML methods)
## 8794 We are exploring ML methods (and may one day put a model into production)
## 8795 We are exploring ML methods (and may one day put a model into production)
## 8796 <NA>
## 8797 We use ML methods for generating insights (but do not put working models into production)
## 8798 No (we do not use ML methods)
## 8799 <NA>
## 8800 We use ML methods for generating insights (but do not put working models into production)
## 8801 I do not know
## 8802 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8803 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8804 We are exploring ML methods (and may one day put a model into production)
## 8805 I do not know
## 8806 I do not know
## 8807 We are exploring ML methods (and may one day put a model into production)
## 8808 I do not know
## 8809 <NA>
## 8810 <NA>
## 8811 <NA>
## 8812 No (we do not use ML methods)
## 8813 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8814 We are exploring ML methods (and may one day put a model into production)
## 8815 <NA>
## 8816 We have well established ML methods (i.e., models in production for more than 2 years)
## 8817 No (we do not use ML methods)
## 8818 We are exploring ML methods (and may one day put a model into production)
## 8819 We use ML methods for generating insights (but do not put working models into production)
## 8820 No (we do not use ML methods)
## 8821 <NA>
## 8822 No (we do not use ML methods)
## 8823 We use ML methods for generating insights (but do not put working models into production)
## 8824 We are exploring ML methods (and may one day put a model into production)
## 8825 No (we do not use ML methods)
## 8826 We are exploring ML methods (and may one day put a model into production)
## 8827 We have well established ML methods (i.e., models in production for more than 2 years)
## 8828 <NA>
## 8829 <NA>
## 8830 I do not know
## 8831 We use ML methods for generating insights (but do not put working models into production)
## 8832 I do not know
## 8833 No (we do not use ML methods)
## 8834 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8835 <NA>
## 8836 We have well established ML methods (i.e., models in production for more than 2 years)
## 8837 We have well established ML methods (i.e., models in production for more than 2 years)
## 8838 I do not know
## 8839 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8840 We have well established ML methods (i.e., models in production for more than 2 years)
## 8841 No (we do not use ML methods)
## 8842 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8843 <NA>
## 8844 No (we do not use ML methods)
## 8845 We are exploring ML methods (and may one day put a model into production)
## 8846 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8847 We use ML methods for generating insights (but do not put working models into production)
## 8848 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8849 <NA>
## 8850 <NA>
## 8851 No (we do not use ML methods)
## 8852 <NA>
## 8853 We have well established ML methods (i.e., models in production for more than 2 years)
## 8854 We use ML methods for generating insights (but do not put working models into production)
## 8855 No (we do not use ML methods)
## 8856 No (we do not use ML methods)
## 8857 We use ML methods for generating insights (but do not put working models into production)
## 8858 No (we do not use ML methods)
## 8859 <NA>
## 8860 <NA>
## 8861 We have well established ML methods (i.e., models in production for more than 2 years)
## 8862 We are exploring ML methods (and may one day put a model into production)
## 8863 We are exploring ML methods (and may one day put a model into production)
## 8864 <NA>
## 8865 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8866 We have well established ML methods (i.e., models in production for more than 2 years)
## 8867 We are exploring ML methods (and may one day put a model into production)
## 8868 We have well established ML methods (i.e., models in production for more than 2 years)
## 8869 We have well established ML methods (i.e., models in production for more than 2 years)
## 8870 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8871 We are exploring ML methods (and may one day put a model into production)
## 8872 <NA>
## 8873 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8874 We use ML methods for generating insights (but do not put working models into production)
## 8875 <NA>
## 8876 No (we do not use ML methods)
## 8877 We are exploring ML methods (and may one day put a model into production)
## 8878 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8879 We have well established ML methods (i.e., models in production for more than 2 years)
## 8880 We are exploring ML methods (and may one day put a model into production)
## 8881 We have well established ML methods (i.e., models in production for more than 2 years)
## 8882 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8883 We have well established ML methods (i.e., models in production for more than 2 years)
## 8884 We are exploring ML methods (and may one day put a model into production)
## 8885 We use ML methods for generating insights (but do not put working models into production)
## 8886 <NA>
## 8887 We are exploring ML methods (and may one day put a model into production)
## 8888 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8889 No (we do not use ML methods)
## 8890 We have well established ML methods (i.e., models in production for more than 2 years)
## 8891 We are exploring ML methods (and may one day put a model into production)
## 8892 We are exploring ML methods (and may one day put a model into production)
## 8893 We use ML methods for generating insights (but do not put working models into production)
## 8894 No (we do not use ML methods)
## 8895 We are exploring ML methods (and may one day put a model into production)
## 8896 <NA>
## 8897 <NA>
## 8898 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8899 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8900 <NA>
## 8901 We use ML methods for generating insights (but do not put working models into production)
## 8902 <NA>
## 8903 We are exploring ML methods (and may one day put a model into production)
## 8904 <NA>
## 8905 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8906 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8907 <NA>
## 8908 We are exploring ML methods (and may one day put a model into production)
## 8909 <NA>
## 8910 <NA>
## 8911 We are exploring ML methods (and may one day put a model into production)
## 8912 We use ML methods for generating insights (but do not put working models into production)
## 8913 <NA>
## 8914 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8915 We use ML methods for generating insights (but do not put working models into production)
## 8916 <NA>
## 8917 <NA>
## 8918 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8919 We use ML methods for generating insights (but do not put working models into production)
## 8920 We are exploring ML methods (and may one day put a model into production)
## 8921 We are exploring ML methods (and may one day put a model into production)
## 8922 We have well established ML methods (i.e., models in production for more than 2 years)
## 8923 I do not know
## 8924 We have well established ML methods (i.e., models in production for more than 2 years)
## 8925 <NA>
## 8926 No (we do not use ML methods)
## 8927 We are exploring ML methods (and may one day put a model into production)
## 8928 We are exploring ML methods (and may one day put a model into production)
## 8929 No (we do not use ML methods)
## 8930 We are exploring ML methods (and may one day put a model into production)
## 8931 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8932 We have well established ML methods (i.e., models in production for more than 2 years)
## 8933 We are exploring ML methods (and may one day put a model into production)
## 8934 We are exploring ML methods (and may one day put a model into production)
## 8935 We are exploring ML methods (and may one day put a model into production)
## 8936 We have well established ML methods (i.e., models in production for more than 2 years)
## 8937 <NA>
## 8938 We are exploring ML methods (and may one day put a model into production)
## 8939 We are exploring ML methods (and may one day put a model into production)
## 8940 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8941 We have well established ML methods (i.e., models in production for more than 2 years)
## 8942 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8943 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8944 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8945 We are exploring ML methods (and may one day put a model into production)
## 8946 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8947 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8948 <NA>
## 8949 We are exploring ML methods (and may one day put a model into production)
## 8950 <NA>
## 8951 <NA>
## 8952 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8953 We have well established ML methods (i.e., models in production for more than 2 years)
## 8954 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8955 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8956 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8957 No (we do not use ML methods)
## 8958 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8959 No (we do not use ML methods)
## 8960 We have well established ML methods (i.e., models in production for more than 2 years)
## 8961 No (we do not use ML methods)
## 8962 We use ML methods for generating insights (but do not put working models into production)
## 8963 We are exploring ML methods (and may one day put a model into production)
## 8964 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8965 <NA>
## 8966 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8967 No (we do not use ML methods)
## 8968 <NA>
## 8969 We are exploring ML methods (and may one day put a model into production)
## 8970 We are exploring ML methods (and may one day put a model into production)
## 8971 We have well established ML methods (i.e., models in production for more than 2 years)
## 8972 <NA>
## 8973 No (we do not use ML methods)
## 8974 We have well established ML methods (i.e., models in production for more than 2 years)
## 8975 <NA>
## 8976 We are exploring ML methods (and may one day put a model into production)
## 8977 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8978 We have well established ML methods (i.e., models in production for more than 2 years)
## 8979 <NA>
## 8980 We use ML methods for generating insights (but do not put working models into production)
## 8981 No (we do not use ML methods)
## 8982 I do not know
## 8983 We have well established ML methods (i.e., models in production for more than 2 years)
## 8984 We are exploring ML methods (and may one day put a model into production)
## 8985 We have well established ML methods (i.e., models in production for more than 2 years)
## 8986 No (we do not use ML methods)
## 8987 I do not know
## 8988 We recently started using ML methods (i.e., models in production for less than 2 years)
## 8989 <NA>
## 8990 We use ML methods for generating insights (but do not put working models into production)
## 8991 <NA>
## 8992 We have well established ML methods (i.e., models in production for more than 2 years)
## 8993 We are exploring ML methods (and may one day put a model into production)
## 8994 We are exploring ML methods (and may one day put a model into production)
## 8995 <NA>
## 8996 <NA>
## 8997 We have well established ML methods (i.e., models in production for more than 2 years)
## 8998 We have well established ML methods (i.e., models in production for more than 2 years)
## 8999 We have well established ML methods (i.e., models in production for more than 2 years)
## 9000 No (we do not use ML methods)
## 9001 <NA>
## 9002 We use ML methods for generating insights (but do not put working models into production)
## 9003 We have well established ML methods (i.e., models in production for more than 2 years)
## 9004 <NA>
## 9005 <NA>
## 9006 <NA>
## 9007 We have well established ML methods (i.e., models in production for more than 2 years)
## 9008 We are exploring ML methods (and may one day put a model into production)
## 9009 <NA>
## 9010 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9011 <NA>
## 9012 We are exploring ML methods (and may one day put a model into production)
## 9013 <NA>
## 9014 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9015 We are exploring ML methods (and may one day put a model into production)
## 9016 <NA>
## 9017 We are exploring ML methods (and may one day put a model into production)
## 9018 We have well established ML methods (i.e., models in production for more than 2 years)
## 9019 <NA>
## 9020 We use ML methods for generating insights (but do not put working models into production)
## 9021 <NA>
## 9022 We have well established ML methods (i.e., models in production for more than 2 years)
## 9023 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9024 <NA>
## 9025 We use ML methods for generating insights (but do not put working models into production)
## 9026 We are exploring ML methods (and may one day put a model into production)
## 9027 No (we do not use ML methods)
## 9028 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9029 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9030 <NA>
## 9031 We use ML methods for generating insights (but do not put working models into production)
## 9032 <NA>
## 9033 I do not know
## 9034 We have well established ML methods (i.e., models in production for more than 2 years)
## 9035 <NA>
## 9036 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9037 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9038 No (we do not use ML methods)
## 9039 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9040 <NA>
## 9041 We are exploring ML methods (and may one day put a model into production)
## 9042 <NA>
## 9043 We are exploring ML methods (and may one day put a model into production)
## 9044 We have well established ML methods (i.e., models in production for more than 2 years)
## 9045 We use ML methods for generating insights (but do not put working models into production)
## 9046 <NA>
## 9047 I do not know
## 9048 <NA>
## 9049 We are exploring ML methods (and may one day put a model into production)
## 9050 <NA>
## 9051 We are exploring ML methods (and may one day put a model into production)
## 9052 We have well established ML methods (i.e., models in production for more than 2 years)
## 9053 <NA>
## 9054 <NA>
## 9055 We use ML methods for generating insights (but do not put working models into production)
## 9056 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9057 <NA>
## 9058 We are exploring ML methods (and may one day put a model into production)
## 9059 We are exploring ML methods (and may one day put a model into production)
## 9060 <NA>
## 9061 We are exploring ML methods (and may one day put a model into production)
## 9062 I do not know
## 9063 We have well established ML methods (i.e., models in production for more than 2 years)
## 9064 We are exploring ML methods (and may one day put a model into production)
## 9065 I do not know
## 9066 <NA>
## 9067 No (we do not use ML methods)
## 9068 We are exploring ML methods (and may one day put a model into production)
## 9069 <NA>
## 9070 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9071 <NA>
## 9072 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9073 We use ML methods for generating insights (but do not put working models into production)
## 9074 We are exploring ML methods (and may one day put a model into production)
## 9075 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9076 No (we do not use ML methods)
## 9077 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9078 We use ML methods for generating insights (but do not put working models into production)
## 9079 <NA>
## 9080 We are exploring ML methods (and may one day put a model into production)
## 9081 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9082 <NA>
## 9083 <NA>
## 9084 We are exploring ML methods (and may one day put a model into production)
## 9085 I do not know
## 9086 We use ML methods for generating insights (but do not put working models into production)
## 9087 We have well established ML methods (i.e., models in production for more than 2 years)
## 9088 <NA>
## 9089 <NA>
## 9090 We are exploring ML methods (and may one day put a model into production)
## 9091 <NA>
## 9092 <NA>
## 9093 <NA>
## 9094 No (we do not use ML methods)
## 9095 No (we do not use ML methods)
## 9096 <NA>
## 9097 We have well established ML methods (i.e., models in production for more than 2 years)
## 9098 <NA>
## 9099 No (we do not use ML methods)
## 9100 <NA>
## 9101 <NA>
## 9102 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9103 I do not know
## 9104 <NA>
## 9105 <NA>
## 9106 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9107 We are exploring ML methods (and may one day put a model into production)
## 9108 <NA>
## 9109 <NA>
## 9110 I do not know
## 9111 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9112 We have well established ML methods (i.e., models in production for more than 2 years)
## 9113 We have well established ML methods (i.e., models in production for more than 2 years)
## 9114 We have well established ML methods (i.e., models in production for more than 2 years)
## 9115 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9116 <NA>
## 9117 I do not know
## 9118 <NA>
## 9119 No (we do not use ML methods)
## 9120 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9121 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9122 I do not know
## 9123 <NA>
## 9124 No (we do not use ML methods)
## 9125 We have well established ML methods (i.e., models in production for more than 2 years)
## 9126 <NA>
## 9127 We use ML methods for generating insights (but do not put working models into production)
## 9128 I do not know
## 9129 <NA>
## 9130 <NA>
## 9131 <NA>
## 9132 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9133 We are exploring ML methods (and may one day put a model into production)
## 9134 We are exploring ML methods (and may one day put a model into production)
## 9135 No (we do not use ML methods)
## 9136 No (we do not use ML methods)
## 9137 <NA>
## 9138 We have well established ML methods (i.e., models in production for more than 2 years)
## 9139 No (we do not use ML methods)
## 9140 <NA>
## 9141 No (we do not use ML methods)
## 9142 No (we do not use ML methods)
## 9143 We are exploring ML methods (and may one day put a model into production)
## 9144 We are exploring ML methods (and may one day put a model into production)
## 9145 We use ML methods for generating insights (but do not put working models into production)
## 9146 <NA>
## 9147 <NA>
## 9148 I do not know
## 9149 <NA>
## 9150 No (we do not use ML methods)
## 9151 <NA>
## 9152 No (we do not use ML methods)
## 9153 We use ML methods for generating insights (but do not put working models into production)
## 9154 We use ML methods for generating insights (but do not put working models into production)
## 9155 We have well established ML methods (i.e., models in production for more than 2 years)
## 9156 <NA>
## 9157 No (we do not use ML methods)
## 9158 No (we do not use ML methods)
## 9159 No (we do not use ML methods)
## 9160 <NA>
## 9161 We are exploring ML methods (and may one day put a model into production)
## 9162 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9163 <NA>
## 9164 I do not know
## 9165 <NA>
## 9166 We are exploring ML methods (and may one day put a model into production)
## 9167 We have well established ML methods (i.e., models in production for more than 2 years)
## 9168 We are exploring ML methods (and may one day put a model into production)
## 9169 <NA>
## 9170 <NA>
## 9171 No (we do not use ML methods)
## 9172 <NA>
## 9173 <NA>
## 9174 We have well established ML methods (i.e., models in production for more than 2 years)
## 9175 We are exploring ML methods (and may one day put a model into production)
## 9176 <NA>
## 9177 I do not know
## 9178 We have well established ML methods (i.e., models in production for more than 2 years)
## 9179 I do not know
## 9180 No (we do not use ML methods)
## 9181 We have well established ML methods (i.e., models in production for more than 2 years)
## 9182 We have well established ML methods (i.e., models in production for more than 2 years)
## 9183 <NA>
## 9184 We have well established ML methods (i.e., models in production for more than 2 years)
## 9185 I do not know
## 9186 <NA>
## 9187 We are exploring ML methods (and may one day put a model into production)
## 9188 No (we do not use ML methods)
## 9189 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9190 I do not know
## 9191 We are exploring ML methods (and may one day put a model into production)
## 9192 <NA>
## 9193 <NA>
## 9194 <NA>
## 9195 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9196 <NA>
## 9197 <NA>
## 9198 <NA>
## 9199 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9200 We use ML methods for generating insights (but do not put working models into production)
## 9201 <NA>
## 9202 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9203 We have well established ML methods (i.e., models in production for more than 2 years)
## 9204 <NA>
## 9205 <NA>
## 9206 <NA>
## 9207 We are exploring ML methods (and may one day put a model into production)
## 9208 We are exploring ML methods (and may one day put a model into production)
## 9209 I do not know
## 9210 We have well established ML methods (i.e., models in production for more than 2 years)
## 9211 We use ML methods for generating insights (but do not put working models into production)
## 9212 No (we do not use ML methods)
## 9213 We use ML methods for generating insights (but do not put working models into production)
## 9214 I do not know
## 9215 <NA>
## 9216 We are exploring ML methods (and may one day put a model into production)
## 9217 I do not know
## 9218 <NA>
## 9219 <NA>
## 9220 We are exploring ML methods (and may one day put a model into production)
## 9221 We have well established ML methods (i.e., models in production for more than 2 years)
## 9222 No (we do not use ML methods)
## 9223 <NA>
## 9224 <NA>
## 9225 <NA>
## 9226 <NA>
## 9227 We use ML methods for generating insights (but do not put working models into production)
## 9228 <NA>
## 9229 No (we do not use ML methods)
## 9230 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9231 No (we do not use ML methods)
## 9232 We have well established ML methods (i.e., models in production for more than 2 years)
## 9233 No (we do not use ML methods)
## 9234 <NA>
## 9235 We are exploring ML methods (and may one day put a model into production)
## 9236 <NA>
## 9237 We use ML methods for generating insights (but do not put working models into production)
## 9238 We have well established ML methods (i.e., models in production for more than 2 years)
## 9239 We are exploring ML methods (and may one day put a model into production)
## 9240 <NA>
## 9241 We use ML methods for generating insights (but do not put working models into production)
## 9242 I do not know
## 9243 <NA>
## 9244 <NA>
## 9245 <NA>
## 9246 <NA>
## 9247 We use ML methods for generating insights (but do not put working models into production)
## 9248 No (we do not use ML methods)
## 9249 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9250 <NA>
## 9251 We have well established ML methods (i.e., models in production for more than 2 years)
## 9252 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9253 We are exploring ML methods (and may one day put a model into production)
## 9254 We are exploring ML methods (and may one day put a model into production)
## 9255 We have well established ML methods (i.e., models in production for more than 2 years)
## 9256 No (we do not use ML methods)
## 9257 We have well established ML methods (i.e., models in production for more than 2 years)
## 9258 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9259 <NA>
## 9260 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9261 I do not know
## 9262 We are exploring ML methods (and may one day put a model into production)
## 9263 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9264 We are exploring ML methods (and may one day put a model into production)
## 9265 We are exploring ML methods (and may one day put a model into production)
## 9266 We are exploring ML methods (and may one day put a model into production)
## 9267 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9268 We are exploring ML methods (and may one day put a model into production)
## 9269 <NA>
## 9270 No (we do not use ML methods)
## 9271 <NA>
## 9272 <NA>
## 9273 I do not know
## 9274 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9275 No (we do not use ML methods)
## 9276 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9277 We are exploring ML methods (and may one day put a model into production)
## 9278 <NA>
## 9279 We are exploring ML methods (and may one day put a model into production)
## 9280 <NA>
## 9281 No (we do not use ML methods)
## 9282 We are exploring ML methods (and may one day put a model into production)
## 9283 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9284 We use ML methods for generating insights (but do not put working models into production)
## 9285 <NA>
## 9286 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9287 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9288 <NA>
## 9289 <NA>
## 9290 <NA>
## 9291 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9292 We use ML methods for generating insights (but do not put working models into production)
## 9293 <NA>
## 9294 <NA>
## 9295 We use ML methods for generating insights (but do not put working models into production)
## 9296 I do not know
## 9297 <NA>
## 9298 We have well established ML methods (i.e., models in production for more than 2 years)
## 9299 We are exploring ML methods (and may one day put a model into production)
## 9300 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9301 We have well established ML methods (i.e., models in production for more than 2 years)
## 9302 We have well established ML methods (i.e., models in production for more than 2 years)
## 9303 No (we do not use ML methods)
## 9304 We use ML methods for generating insights (but do not put working models into production)
## 9305 We are exploring ML methods (and may one day put a model into production)
## 9306 <NA>
## 9307 <NA>
## 9308 <NA>
## 9309 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9310 We use ML methods for generating insights (but do not put working models into production)
## 9311 We are exploring ML methods (and may one day put a model into production)
## 9312 We are exploring ML methods (and may one day put a model into production)
## 9313 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9314 <NA>
## 9315 We have well established ML methods (i.e., models in production for more than 2 years)
## 9316 We use ML methods for generating insights (but do not put working models into production)
## 9317 We use ML methods for generating insights (but do not put working models into production)
## 9318 <NA>
## 9319 No (we do not use ML methods)
## 9320 <NA>
## 9321 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9322 We use ML methods for generating insights (but do not put working models into production)
## 9323 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9324 No (we do not use ML methods)
## 9325 We use ML methods for generating insights (but do not put working models into production)
## 9326 <NA>
## 9327 We use ML methods for generating insights (but do not put working models into production)
## 9328 <NA>
## 9329 No (we do not use ML methods)
## 9330 We are exploring ML methods (and may one day put a model into production)
## 9331 We have well established ML methods (i.e., models in production for more than 2 years)
## 9332 No (we do not use ML methods)
## 9333 I do not know
## 9334 No (we do not use ML methods)
## 9335 No (we do not use ML methods)
## 9336 <NA>
## 9337 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9338 We use ML methods for generating insights (but do not put working models into production)
## 9339 I do not know
## 9340 We are exploring ML methods (and may one day put a model into production)
## 9341 <NA>
## 9342 <NA>
## 9343 <NA>
## 9344 No (we do not use ML methods)
## 9345 <NA>
## 9346 We use ML methods for generating insights (but do not put working models into production)
## 9347 No (we do not use ML methods)
## 9348 <NA>
## 9349 No (we do not use ML methods)
## 9350 We are exploring ML methods (and may one day put a model into production)
## 9351 <NA>
## 9352 <NA>
## 9353 <NA>
## 9354 I do not know
## 9355 We are exploring ML methods (and may one day put a model into production)
## 9356 No (we do not use ML methods)
## 9357 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9358 We are exploring ML methods (and may one day put a model into production)
## 9359 No (we do not use ML methods)
## 9360 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9361 We have well established ML methods (i.e., models in production for more than 2 years)
## 9362 <NA>
## 9363 We have well established ML methods (i.e., models in production for more than 2 years)
## 9364 We are exploring ML methods (and may one day put a model into production)
## 9365 We are exploring ML methods (and may one day put a model into production)
## 9366 I do not know
## 9367 <NA>
## 9368 No (we do not use ML methods)
## 9369 I do not know
## 9370 No (we do not use ML methods)
## 9371 No (we do not use ML methods)
## 9372 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9373 No (we do not use ML methods)
## 9374 We are exploring ML methods (and may one day put a model into production)
## 9375 We use ML methods for generating insights (but do not put working models into production)
## 9376 We have well established ML methods (i.e., models in production for more than 2 years)
## 9377 We have well established ML methods (i.e., models in production for more than 2 years)
## 9378 I do not know
## 9379 We are exploring ML methods (and may one day put a model into production)
## 9380 <NA>
## 9381 No (we do not use ML methods)
## 9382 <NA>
## 9383 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9384 No (we do not use ML methods)
## 9385 We use ML methods for generating insights (but do not put working models into production)
## 9386 No (we do not use ML methods)
## 9387 <NA>
## 9388 We use ML methods for generating insights (but do not put working models into production)
## 9389 <NA>
## 9390 <NA>
## 9391 We are exploring ML methods (and may one day put a model into production)
## 9392 We are exploring ML methods (and may one day put a model into production)
## 9393 <NA>
## 9394 We have well established ML methods (i.e., models in production for more than 2 years)
## 9395 We have well established ML methods (i.e., models in production for more than 2 years)
## 9396 We are exploring ML methods (and may one day put a model into production)
## 9397 I do not know
## 9398 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9399 No (we do not use ML methods)
## 9400 We are exploring ML methods (and may one day put a model into production)
## 9401 No (we do not use ML methods)
## 9402 <NA>
## 9403 We are exploring ML methods (and may one day put a model into production)
## 9404 We are exploring ML methods (and may one day put a model into production)
## 9405 We are exploring ML methods (and may one day put a model into production)
## 9406 We have well established ML methods (i.e., models in production for more than 2 years)
## 9407 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9408 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9409 We are exploring ML methods (and may one day put a model into production)
## 9410 No (we do not use ML methods)
## 9411 We are exploring ML methods (and may one day put a model into production)
## 9412 We are exploring ML methods (and may one day put a model into production)
## 9413 We have well established ML methods (i.e., models in production for more than 2 years)
## 9414 We have well established ML methods (i.e., models in production for more than 2 years)
## 9415 We are exploring ML methods (and may one day put a model into production)
## 9416 No (we do not use ML methods)
## 9417 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9418 <NA>
## 9419 We are exploring ML methods (and may one day put a model into production)
## 9420 <NA>
## 9421 No (we do not use ML methods)
## 9422 <NA>
## 9423 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9424 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9425 We are exploring ML methods (and may one day put a model into production)
## 9426 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9427 We have well established ML methods (i.e., models in production for more than 2 years)
## 9428 We use ML methods for generating insights (but do not put working models into production)
## 9429 We use ML methods for generating insights (but do not put working models into production)
## 9430 <NA>
## 9431 I do not know
## 9432 No (we do not use ML methods)
## 9433 No (we do not use ML methods)
## 9434 We are exploring ML methods (and may one day put a model into production)
## 9435 We are exploring ML methods (and may one day put a model into production)
## 9436 No (we do not use ML methods)
## 9437 No (we do not use ML methods)
## 9438 <NA>
## 9439 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9440 We are exploring ML methods (and may one day put a model into production)
## 9441 <NA>
## 9442 <NA>
## 9443 I do not know
## 9444 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9445 <NA>
## 9446 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9447 We are exploring ML methods (and may one day put a model into production)
## 9448 We have well established ML methods (i.e., models in production for more than 2 years)
## 9449 We are exploring ML methods (and may one day put a model into production)
## 9450 I do not know
## 9451 We have well established ML methods (i.e., models in production for more than 2 years)
## 9452 We have well established ML methods (i.e., models in production for more than 2 years)
## 9453 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9454 <NA>
## 9455 <NA>
## 9456 We are exploring ML methods (and may one day put a model into production)
## 9457 We are exploring ML methods (and may one day put a model into production)
## 9458 We have well established ML methods (i.e., models in production for more than 2 years)
## 9459 No (we do not use ML methods)
## 9460 We have well established ML methods (i.e., models in production for more than 2 years)
## 9461 We use ML methods for generating insights (but do not put working models into production)
## 9462 We are exploring ML methods (and may one day put a model into production)
## 9463 We are exploring ML methods (and may one day put a model into production)
## 9464 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9465 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9466 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9467 <NA>
## 9468 We have well established ML methods (i.e., models in production for more than 2 years)
## 9469 No (we do not use ML methods)
## 9470 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9471 No (we do not use ML methods)
## 9472 <NA>
## 9473 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9474 No (we do not use ML methods)
## 9475 I do not know
## 9476 No (we do not use ML methods)
## 9477 <NA>
## 9478 We have well established ML methods (i.e., models in production for more than 2 years)
## 9479 <NA>
## 9480 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9481 <NA>
## 9482 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9483 We use ML methods for generating insights (but do not put working models into production)
## 9484 We are exploring ML methods (and may one day put a model into production)
## 9485 We are exploring ML methods (and may one day put a model into production)
## 9486 No (we do not use ML methods)
## 9487 <NA>
## 9488 No (we do not use ML methods)
## 9489 We use ML methods for generating insights (but do not put working models into production)
## 9490 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9491 <NA>
## 9492 <NA>
## 9493 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9494 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9495 <NA>
## 9496 We have well established ML methods (i.e., models in production for more than 2 years)
## 9497 We use ML methods for generating insights (but do not put working models into production)
## 9498 We have well established ML methods (i.e., models in production for more than 2 years)
## 9499 No (we do not use ML methods)
## 9500 I do not know
## 9501 We have well established ML methods (i.e., models in production for more than 2 years)
## 9502 No (we do not use ML methods)
## 9503 No (we do not use ML methods)
## 9504 We are exploring ML methods (and may one day put a model into production)
## 9505 No (we do not use ML methods)
## 9506 <NA>
## 9507 We have well established ML methods (i.e., models in production for more than 2 years)
## 9508 We use ML methods for generating insights (but do not put working models into production)
## 9509 We are exploring ML methods (and may one day put a model into production)
## 9510 We have well established ML methods (i.e., models in production for more than 2 years)
## 9511 We use ML methods for generating insights (but do not put working models into production)
## 9512 We are exploring ML methods (and may one day put a model into production)
## 9513 We are exploring ML methods (and may one day put a model into production)
## 9514 No (we do not use ML methods)
## 9515 We have well established ML methods (i.e., models in production for more than 2 years)
## 9516 We are exploring ML methods (and may one day put a model into production)
## 9517 We are exploring ML methods (and may one day put a model into production)
## 9518 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9519 We are exploring ML methods (and may one day put a model into production)
## 9520 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9521 We are exploring ML methods (and may one day put a model into production)
## 9522 We use ML methods for generating insights (but do not put working models into production)
## 9523 We are exploring ML methods (and may one day put a model into production)
## 9524 We are exploring ML methods (and may one day put a model into production)
## 9525 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9526 <NA>
## 9527 We are exploring ML methods (and may one day put a model into production)
## 9528 We are exploring ML methods (and may one day put a model into production)
## 9529 No (we do not use ML methods)
## 9530 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9531 No (we do not use ML methods)
## 9532 No (we do not use ML methods)
## 9533 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9534 We have well established ML methods (i.e., models in production for more than 2 years)
## 9535 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9536 <NA>
## 9537 We use ML methods for generating insights (but do not put working models into production)
## 9538 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9539 No (we do not use ML methods)
## 9540 We have well established ML methods (i.e., models in production for more than 2 years)
## 9541 <NA>
## 9542 No (we do not use ML methods)
## 9543 No (we do not use ML methods)
## 9544 <NA>
## 9545 We use ML methods for generating insights (but do not put working models into production)
## 9546 No (we do not use ML methods)
## 9547 <NA>
## 9548 <NA>
## 9549 No (we do not use ML methods)
## 9550 No (we do not use ML methods)
## 9551 <NA>
## 9552 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9553 We are exploring ML methods (and may one day put a model into production)
## 9554 No (we do not use ML methods)
## 9555 We have well established ML methods (i.e., models in production for more than 2 years)
## 9556 We have well established ML methods (i.e., models in production for more than 2 years)
## 9557 I do not know
## 9558 <NA>
## 9559 <NA>
## 9560 We are exploring ML methods (and may one day put a model into production)
## 9561 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9562 <NA>
## 9563 No (we do not use ML methods)
## 9564 We are exploring ML methods (and may one day put a model into production)
## 9565 We have well established ML methods (i.e., models in production for more than 2 years)
## 9566 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9567 <NA>
## 9568 We have well established ML methods (i.e., models in production for more than 2 years)
## 9569 We have well established ML methods (i.e., models in production for more than 2 years)
## 9570 We are exploring ML methods (and may one day put a model into production)
## 9571 We are exploring ML methods (and may one day put a model into production)
## 9572 We are exploring ML methods (and may one day put a model into production)
## 9573 No (we do not use ML methods)
## 9574 We have well established ML methods (i.e., models in production for more than 2 years)
## 9575 No (we do not use ML methods)
## 9576 <NA>
## 9577 I do not know
## 9578 <NA>
## 9579 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9580 No (we do not use ML methods)
## 9581 No (we do not use ML methods)
## 9582 No (we do not use ML methods)
## 9583 We have well established ML methods (i.e., models in production for more than 2 years)
## 9584 I do not know
## 9585 We have well established ML methods (i.e., models in production for more than 2 years)
## 9586 We are exploring ML methods (and may one day put a model into production)
## 9587 We are exploring ML methods (and may one day put a model into production)
## 9588 <NA>
## 9589 We are exploring ML methods (and may one day put a model into production)
## 9590 We are exploring ML methods (and may one day put a model into production)
## 9591 No (we do not use ML methods)
## 9592 <NA>
## 9593 We use ML methods for generating insights (but do not put working models into production)
## 9594 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9595 We are exploring ML methods (and may one day put a model into production)
## 9596 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9597 We have well established ML methods (i.e., models in production for more than 2 years)
## 9598 We have well established ML methods (i.e., models in production for more than 2 years)
## 9599 We use ML methods for generating insights (but do not put working models into production)
## 9600 <NA>
## 9601 <NA>
## 9602 We use ML methods for generating insights (but do not put working models into production)
## 9603 We have well established ML methods (i.e., models in production for more than 2 years)
## 9604 <NA>
## 9605 No (we do not use ML methods)
## 9606 We are exploring ML methods (and may one day put a model into production)
## 9607 <NA>
## 9608 <NA>
## 9609 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9610 <NA>
## 9611 We have well established ML methods (i.e., models in production for more than 2 years)
## 9612 We are exploring ML methods (and may one day put a model into production)
## 9613 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9614 <NA>
## 9615 We use ML methods for generating insights (but do not put working models into production)
## 9616 <NA>
## 9617 No (we do not use ML methods)
## 9618 We have well established ML methods (i.e., models in production for more than 2 years)
## 9619 We use ML methods for generating insights (but do not put working models into production)
## 9620 No (we do not use ML methods)
## 9621 <NA>
## 9622 I do not know
## 9623 We are exploring ML methods (and may one day put a model into production)
## 9624 No (we do not use ML methods)
## 9625 We are exploring ML methods (and may one day put a model into production)
## 9626 We use ML methods for generating insights (but do not put working models into production)
## 9627 <NA>
## 9628 We are exploring ML methods (and may one day put a model into production)
## 9629 No (we do not use ML methods)
## 9630 We are exploring ML methods (and may one day put a model into production)
## 9631 We are exploring ML methods (and may one day put a model into production)
## 9632 We have well established ML methods (i.e., models in production for more than 2 years)
## 9633 We have well established ML methods (i.e., models in production for more than 2 years)
## 9634 No (we do not use ML methods)
## 9635 I do not know
## 9636 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9637 <NA>
## 9638 We have well established ML methods (i.e., models in production for more than 2 years)
## 9639 <NA>
## 9640 <NA>
## 9641 I do not know
## 9642 No (we do not use ML methods)
## 9643 We are exploring ML methods (and may one day put a model into production)
## 9644 We are exploring ML methods (and may one day put a model into production)
## 9645 <NA>
## 9646 We have well established ML methods (i.e., models in production for more than 2 years)
## 9647 We have well established ML methods (i.e., models in production for more than 2 years)
## 9648 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9649 <NA>
## 9650 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9651 We are exploring ML methods (and may one day put a model into production)
## 9652 We use ML methods for generating insights (but do not put working models into production)
## 9653 No (we do not use ML methods)
## 9654 We have well established ML methods (i.e., models in production for more than 2 years)
## 9655 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9656 I do not know
## 9657 <NA>
## 9658 We have well established ML methods (i.e., models in production for more than 2 years)
## 9659 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9660 We use ML methods for generating insights (but do not put working models into production)
## 9661 We use ML methods for generating insights (but do not put working models into production)
## 9662 <NA>
## 9663 <NA>
## 9664 We use ML methods for generating insights (but do not put working models into production)
## 9665 No (we do not use ML methods)
## 9666 We use ML methods for generating insights (but do not put working models into production)
## 9667 No (we do not use ML methods)
## 9668 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9669 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9670 We are exploring ML methods (and may one day put a model into production)
## 9671 We are exploring ML methods (and may one day put a model into production)
## 9672 We have well established ML methods (i.e., models in production for more than 2 years)
## 9673 We use ML methods for generating insights (but do not put working models into production)
## 9674 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9675 No (we do not use ML methods)
## 9676 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9677 We use ML methods for generating insights (but do not put working models into production)
## 9678 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9679 We use ML methods for generating insights (but do not put working models into production)
## 9680 We use ML methods for generating insights (but do not put working models into production)
## 9681 We have well established ML methods (i.e., models in production for more than 2 years)
## 9682 No (we do not use ML methods)
## 9683 <NA>
## 9684 We have well established ML methods (i.e., models in production for more than 2 years)
## 9685 No (we do not use ML methods)
## 9686 No (we do not use ML methods)
## 9687 We are exploring ML methods (and may one day put a model into production)
## 9688 <NA>
## 9689 We have well established ML methods (i.e., models in production for more than 2 years)
## 9690 No (we do not use ML methods)
## 9691 We have well established ML methods (i.e., models in production for more than 2 years)
## 9692 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9693 We have well established ML methods (i.e., models in production for more than 2 years)
## 9694 No (we do not use ML methods)
## 9695 I do not know
## 9696 We are exploring ML methods (and may one day put a model into production)
## 9697 We use ML methods for generating insights (but do not put working models into production)
## 9698 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9699 We are exploring ML methods (and may one day put a model into production)
## 9700 <NA>
## 9701 We have well established ML methods (i.e., models in production for more than 2 years)
## 9702 <NA>
## 9703 We use ML methods for generating insights (but do not put working models into production)
## 9704 We use ML methods for generating insights (but do not put working models into production)
## 9705 We are exploring ML methods (and may one day put a model into production)
## 9706 We are exploring ML methods (and may one day put a model into production)
## 9707 I do not know
## 9708 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9709 We use ML methods for generating insights (but do not put working models into production)
## 9710 <NA>
## 9711 <NA>
## 9712 We use ML methods for generating insights (but do not put working models into production)
## 9713 No (we do not use ML methods)
## 9714 <NA>
## 9715 We use ML methods for generating insights (but do not put working models into production)
## 9716 <NA>
## 9717 <NA>
## 9718 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9719 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9720 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9721 <NA>
## 9722 I do not know
## 9723 We have well established ML methods (i.e., models in production for more than 2 years)
## 9724 <NA>
## 9725 We use ML methods for generating insights (but do not put working models into production)
## 9726 We are exploring ML methods (and may one day put a model into production)
## 9727 <NA>
## 9728 I do not know
## 9729 We use ML methods for generating insights (but do not put working models into production)
## 9730 We are exploring ML methods (and may one day put a model into production)
## 9731 No (we do not use ML methods)
## 9732 No (we do not use ML methods)
## 9733 I do not know
## 9734 We are exploring ML methods (and may one day put a model into production)
## 9735 No (we do not use ML methods)
## 9736 We use ML methods for generating insights (but do not put working models into production)
## 9737 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9738 <NA>
## 9739 We are exploring ML methods (and may one day put a model into production)
## 9740 No (we do not use ML methods)
## 9741 We are exploring ML methods (and may one day put a model into production)
## 9742 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9743 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9744 <NA>
## 9745 <NA>
## 9746 We use ML methods for generating insights (but do not put working models into production)
## 9747 We have well established ML methods (i.e., models in production for more than 2 years)
## 9748 <NA>
## 9749 No (we do not use ML methods)
## 9750 We are exploring ML methods (and may one day put a model into production)
## 9751 We use ML methods for generating insights (but do not put working models into production)
## 9752 No (we do not use ML methods)
## 9753 We use ML methods for generating insights (but do not put working models into production)
## 9754 <NA>
## 9755 We are exploring ML methods (and may one day put a model into production)
## 9756 I do not know
## 9757 We are exploring ML methods (and may one day put a model into production)
## 9758 I do not know
## 9759 <NA>
## 9760 <NA>
## 9761 I do not know
## 9762 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9763 <NA>
## 9764 We use ML methods for generating insights (but do not put working models into production)
## 9765 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9766 We are exploring ML methods (and may one day put a model into production)
## 9767 We are exploring ML methods (and may one day put a model into production)
## 9768 <NA>
## 9769 We use ML methods for generating insights (but do not put working models into production)
## 9770 I do not know
## 9771 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9772 We have well established ML methods (i.e., models in production for more than 2 years)
## 9773 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9774 We have well established ML methods (i.e., models in production for more than 2 years)
## 9775 No (we do not use ML methods)
## 9776 <NA>
## 9777 I do not know
## 9778 We have well established ML methods (i.e., models in production for more than 2 years)
## 9779 No (we do not use ML methods)
## 9780 No (we do not use ML methods)
## 9781 We are exploring ML methods (and may one day put a model into production)
## 9782 <NA>
## 9783 We are exploring ML methods (and may one day put a model into production)
## 9784 We are exploring ML methods (and may one day put a model into production)
## 9785 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9786 We have well established ML methods (i.e., models in production for more than 2 years)
## 9787 No (we do not use ML methods)
## 9788 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9789 We use ML methods for generating insights (but do not put working models into production)
## 9790 No (we do not use ML methods)
## 9791 We are exploring ML methods (and may one day put a model into production)
## 9792 We are exploring ML methods (and may one day put a model into production)
## 9793 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9794 No (we do not use ML methods)
## 9795 We are exploring ML methods (and may one day put a model into production)
## 9796 We are exploring ML methods (and may one day put a model into production)
## 9797 No (we do not use ML methods)
## 9798 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9799 <NA>
## 9800 <NA>
## 9801 No (we do not use ML methods)
## 9802 We use ML methods for generating insights (but do not put working models into production)
## 9803 <NA>
## 9804 No (we do not use ML methods)
## 9805 No (we do not use ML methods)
## 9806 We have well established ML methods (i.e., models in production for more than 2 years)
## 9807 We are exploring ML methods (and may one day put a model into production)
## 9808 No (we do not use ML methods)
## 9809 We use ML methods for generating insights (but do not put working models into production)
## 9810 We are exploring ML methods (and may one day put a model into production)
## 9811 No (we do not use ML methods)
## 9812 We have well established ML methods (i.e., models in production for more than 2 years)
## 9813 I do not know
## 9814 We use ML methods for generating insights (but do not put working models into production)
## 9815 We are exploring ML methods (and may one day put a model into production)
## 9816 <NA>
## 9817 No (we do not use ML methods)
## 9818 <NA>
## 9819 We are exploring ML methods (and may one day put a model into production)
## 9820 We have well established ML methods (i.e., models in production for more than 2 years)
## 9821 <NA>
## 9822 We are exploring ML methods (and may one day put a model into production)
## 9823 <NA>
## 9824 No (we do not use ML methods)
## 9825 We are exploring ML methods (and may one day put a model into production)
## 9826 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9827 We have well established ML methods (i.e., models in production for more than 2 years)
## 9828 We are exploring ML methods (and may one day put a model into production)
## 9829 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9830 <NA>
## 9831 No (we do not use ML methods)
## 9832 <NA>
## 9833 No (we do not use ML methods)
## 9834 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9835 <NA>
## 9836 We are exploring ML methods (and may one day put a model into production)
## 9837 We are exploring ML methods (and may one day put a model into production)
## 9838 We are exploring ML methods (and may one day put a model into production)
## 9839 I do not know
## 9840 We use ML methods for generating insights (but do not put working models into production)
## 9841 We are exploring ML methods (and may one day put a model into production)
## 9842 We have well established ML methods (i.e., models in production for more than 2 years)
## 9843 We have well established ML methods (i.e., models in production for more than 2 years)
## 9844 We have well established ML methods (i.e., models in production for more than 2 years)
## 9845 <NA>
## 9846 We are exploring ML methods (and may one day put a model into production)
## 9847 <NA>
## 9848 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9849 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9850 We have well established ML methods (i.e., models in production for more than 2 years)
## 9851 We use ML methods for generating insights (but do not put working models into production)
## 9852 We have well established ML methods (i.e., models in production for more than 2 years)
## 9853 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9854 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9855 We use ML methods for generating insights (but do not put working models into production)
## 9856 No (we do not use ML methods)
## 9857 We are exploring ML methods (and may one day put a model into production)
## 9858 We have well established ML methods (i.e., models in production for more than 2 years)
## 9859 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9860 <NA>
## 9861 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9862 <NA>
## 9863 We have well established ML methods (i.e., models in production for more than 2 years)
## 9864 We use ML methods for generating insights (but do not put working models into production)
## 9865 No (we do not use ML methods)
## 9866 We use ML methods for generating insights (but do not put working models into production)
## 9867 We have well established ML methods (i.e., models in production for more than 2 years)
## 9868 No (we do not use ML methods)
## 9869 We use ML methods for generating insights (but do not put working models into production)
## 9870 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9871 No (we do not use ML methods)
## 9872 No (we do not use ML methods)
## 9873 <NA>
## 9874 <NA>
## 9875 No (we do not use ML methods)
## 9876 <NA>
## 9877 No (we do not use ML methods)
## 9878 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9879 We are exploring ML methods (and may one day put a model into production)
## 9880 We use ML methods for generating insights (but do not put working models into production)
## 9881 We are exploring ML methods (and may one day put a model into production)
## 9882 We are exploring ML methods (and may one day put a model into production)
## 9883 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9884 We use ML methods for generating insights (but do not put working models into production)
## 9885 We are exploring ML methods (and may one day put a model into production)
## 9886 We are exploring ML methods (and may one day put a model into production)
## 9887 No (we do not use ML methods)
## 9888 We are exploring ML methods (and may one day put a model into production)
## 9889 <NA>
## 9890 <NA>
## 9891 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9892 <NA>
## 9893 <NA>
## 9894 <NA>
## 9895 <NA>
## 9896 We have well established ML methods (i.e., models in production for more than 2 years)
## 9897 <NA>
## 9898 I do not know
## 9899 We are exploring ML methods (and may one day put a model into production)
## 9900 <NA>
## 9901 No (we do not use ML methods)
## 9902 We have well established ML methods (i.e., models in production for more than 2 years)
## 9903 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9904 <NA>
## 9905 No (we do not use ML methods)
## 9906 We are exploring ML methods (and may one day put a model into production)
## 9907 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9908 <NA>
## 9909 No (we do not use ML methods)
## 9910 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9911 We are exploring ML methods (and may one day put a model into production)
## 9912 We use ML methods for generating insights (but do not put working models into production)
## 9913 We are exploring ML methods (and may one day put a model into production)
## 9914 We are exploring ML methods (and may one day put a model into production)
## 9915 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9916 We are exploring ML methods (and may one day put a model into production)
## 9917 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9918 We are exploring ML methods (and may one day put a model into production)
## 9919 We are exploring ML methods (and may one day put a model into production)
## 9920 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9921 I do not know
## 9922 We use ML methods for generating insights (but do not put working models into production)
## 9923 We have well established ML methods (i.e., models in production for more than 2 years)
## 9924 We are exploring ML methods (and may one day put a model into production)
## 9925 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9926 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9927 We are exploring ML methods (and may one day put a model into production)
## 9928 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9929 <NA>
## 9930 <NA>
## 9931 We have well established ML methods (i.e., models in production for more than 2 years)
## 9932 No (we do not use ML methods)
## 9933 <NA>
## 9934 No (we do not use ML methods)
## 9935 No (we do not use ML methods)
## 9936 <NA>
## 9937 We are exploring ML methods (and may one day put a model into production)
## 9938 <NA>
## 9939 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9940 I do not know
## 9941 We use ML methods for generating insights (but do not put working models into production)
## 9942 We have well established ML methods (i.e., models in production for more than 2 years)
## 9943 <NA>
## 9944 We use ML methods for generating insights (but do not put working models into production)
## 9945 We are exploring ML methods (and may one day put a model into production)
## 9946 We have well established ML methods (i.e., models in production for more than 2 years)
## 9947 We have well established ML methods (i.e., models in production for more than 2 years)
## 9948 We have well established ML methods (i.e., models in production for more than 2 years)
## 9949 No (we do not use ML methods)
## 9950 <NA>
## 9951 No (we do not use ML methods)
## 9952 We have well established ML methods (i.e., models in production for more than 2 years)
## 9953 <NA>
## 9954 We have well established ML methods (i.e., models in production for more than 2 years)
## 9955 We have well established ML methods (i.e., models in production for more than 2 years)
## 9956 I do not know
## 9957 We are exploring ML methods (and may one day put a model into production)
## 9958 We use ML methods for generating insights (but do not put working models into production)
## 9959 <NA>
## 9960 We are exploring ML methods (and may one day put a model into production)
## 9961 We are exploring ML methods (and may one day put a model into production)
## 9962 We are exploring ML methods (and may one day put a model into production)
## 9963 <NA>
## 9964 We use ML methods for generating insights (but do not put working models into production)
## 9965 We have well established ML methods (i.e., models in production for more than 2 years)
## 9966 <NA>
## 9967 We use ML methods for generating insights (but do not put working models into production)
## 9968 No (we do not use ML methods)
## 9969 I do not know
## 9970 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9971 <NA>
## 9972 We have well established ML methods (i.e., models in production for more than 2 years)
## 9973 We have well established ML methods (i.e., models in production for more than 2 years)
## 9974 We have well established ML methods (i.e., models in production for more than 2 years)
## 9975 No (we do not use ML methods)
## 9976 No (we do not use ML methods)
## 9977 We have well established ML methods (i.e., models in production for more than 2 years)
## 9978 We have well established ML methods (i.e., models in production for more than 2 years)
## 9979 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9980 We are exploring ML methods (and may one day put a model into production)
## 9981 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9982 We are exploring ML methods (and may one day put a model into production)
## 9983 We are exploring ML methods (and may one day put a model into production)
## 9984 No (we do not use ML methods)
## 9985 We have well established ML methods (i.e., models in production for more than 2 years)
## 9986 <NA>
## 9987 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9988 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9989 <NA>
## 9990 No (we do not use ML methods)
## 9991 I do not know
## 9992 We recently started using ML methods (i.e., models in production for less than 2 years)
## 9993 We are exploring ML methods (and may one day put a model into production)
## 9994 <NA>
## 9995 No (we do not use ML methods)
## 9996 No (we do not use ML methods)
## 9997 We have well established ML methods (i.e., models in production for more than 2 years)
## 9998 <NA>
## 9999 We have well established ML methods (i.e., models in production for more than 2 years)
## compensation_USD spend_ml_cloud_work_USD code_exp_years
## 1 30,000-39,999 0 1-2
## 2 5,000-7,499 > 100,000 None
## 3 <NA> <NA> <NA>
## 4 250,000-299,999 10,000-99,999 1-2
## 5 4,000-4,999 0 < 1
## 6 60,000-69,999 10,000-99,999 20+
## 7 10,000-14,999 100-999 3-5
## 8 80,000-89,999 0 3-5
## 9 <NA> <NA> 3-5
## 10 0-999 100-999 5-10
## 11 <NA> <NA> < 1
## 12 2,000-2,999 1000-9,999 5-10
## 13 70,000-79,999 1000-9,999 5-10
## 14 90,000-99,999 0 3-5
## 15 <NA> <NA> <NA>
## 16 125,000-149,999 > 100,000 10-20
## 17 0-999 100-999 1-2
## 18 <NA> <NA> 1-2
## 19 0-999 > 100,000 3-5
## 20 40,000-49,999 0 5-10
## 21 20,000-24,999 > 100,000 1-2
## 22 125,000-149,999 0 5-10
## 23 0-999 1-99 < 1
## 24 10,000-14,999 1000-9,999 1-2
## 25 15,000-19,999 0 5-10
## 26 20,000-24,999 1000-9,999 1-2
## 27 100,000-124,999 10,000-99,999 10-20
## 28 <NA> <NA> 1-2
## 29 0-999 1-99 3-5
## 30 0-999 0 1-2
## 31 90,000-99,999 0 1-2
## 32 7,500-9,999 100-999 5-10
## 33 0-999 0 1-2
## 34 150,000-199,999 > 100,000 5-10
## 35 10,000-14,999 > 100,000 1-2
## 36 7,500-9,999 10,000-99,999 3-5
## 37 10,000-14,999 100-999 1-2
## 38 25,000-29,999 1-99 3-5
## 39 40,000-49,999 0 < 1
## 40 90,000-99,999 > 100,000 10-20
## 41 5,000-7,499 1000-9,999 1-2
## 42 <NA> <NA> < 1
## 43 <NA> <NA> < 1
## 44 3,000-3,999 0 1-2
## 45 2,000-2,999 100-999 3-5
## 46 10,000-14,999 0 1-2
## 47 10,000-14,999 0 3-5
## 48 0-999 0 < 1
## 49 40,000-49,999 1-99 5-10
## 50 40,000-49,999 1000-9,999 1-2
## 51 150,000-199,999 1-99 5-10
## 52 3,000-3,999 0 3-5
## 53 <NA> <NA> 1-2
## 54 80,000-89,999 1000-9,999 1-2
## 55 60,000-69,999 100-999 3-5
## 56 0-999 1-99 < 1
## 57 2,000-2,999 1-99 3-5
## 58 1,000-1,999 1000-9,999 < 1
## 59 150,000-199,999 0 3-5
## 60 <NA> <NA> < 1
## 61 40,000-49,999 10,000-99,999 1-2
## 62 100,000-124,999 100-999 3-5
## 63 <NA> <NA> 5-10
## 64 40,000-49,999 100-999 1-2
## 65 40,000-49,999 0 1-2
## 66 15,000-19,999 0 3-5
## 67 200,000-249,999 > 100,000 5-10
## 68 10,000-14,999 1-99 1-2
## 69 15,000-19,999 0 1-2
## 70 <NA> <NA> 1-2
## 71 20,000-24,999 0 3-5
## 72 50,000-59,999 0 1-2
## 73 <NA> <NA> None
## 74 <NA> <NA> 1-2
## 75 0-999 0 < 1
## 76 <NA> <NA> 1-2
## 77 1,000-1,999 0 1-2
## 78 125,000-149,999 1000-9,999 10-20
## 79 <NA> <NA> < 1
## 80 <NA> <NA> <NA>
## 81 15,000-19,999 0 5-10
## 82 70,000-79,999 0 1-2
## 83 1,000-1,999 1-99 1-2
## 84 <NA> <NA> None
## 85 70,000-79,999 > 100,000 3-5
## 86 125,000-149,999 10,000-99,999 3-5
## 87 40,000-49,999 1000-9,999 1-2
## 88 125,000-149,999 100-999 < 1
## 89 60,000-69,999 100-999 5-10
## 90 40,000-49,999 1-99 5-10
## 91 0-999 1-99 1-2
## 92 40,000-49,999 0 1-2
## 93 40,000-49,999 100-999 1-2
## 94 90,000-99,999 1000-9,999 < 1
## 95 4,000-4,999 1-99 3-5
## 96 10,000-14,999 0 1-2
## 97 50,000-59,999 1-99 1-2
## 98 10,000-14,999 1-99 1-2
## 99 30,000-39,999 0 1-2
## 100 200,000-249,999 0 3-5
## 101 <NA> <NA> < 1
## 102 0-999 0 < 1
## 103 4,000-4,999 0 < 1
## 104 60,000-69,999 1000-9,999 10-20
## 105 125,000-149,999 10,000-99,999 3-5
## 106 <NA> <NA> 1-2
## 107 <NA> <NA> 1-2
## 108 100,000-124,999 10,000-99,999 10-20
## 109 <NA> <NA> < 1
## 110 70,000-79,999 1000-9,999 5-10
## 111 90,000-99,999 > 100,000 3-5
## 112 <NA> <NA> < 1
## 113 25,000-29,999 0 3-5
## 114 3,000-3,999 100-999 1-2
## 115 40,000-49,999 1000-9,999 3-5
## 116 <NA> <NA> None
## 117 <NA> <NA> < 1
## 118 40,000-49,999 1000-9,999 10-20
## 119 60,000-69,999 0 None
## 120 0-999 100-999 1-2
## 121 > 500,000 > 100,000 5-10
## 122 80,000-89,999 0 3-5
## 123 <NA> <NA> < 1
## 124 150,000-199,999 1000-9,999 5-10
## 125 20,000-24,999 10,000-99,999 1-2
## 126 25,000-29,999 100-999 3-5
## 127 <NA> <NA> < 1
## 128 <NA> <NA> 1-2
## 129 <NA> <NA> 1-2
## 130 30,000-39,999 100-999 1-2
## 131 15,000-19,999 100-999 1-2
## 132 <NA> <NA> 1-2
## 133 300,000-500,000 1-99 3-5
## 134 2,000-2,999 0 1-2
## 135 25,000-29,999 100-999 3-5
## 136 50,000-59,999 1000-9,999 20+
## 137 4,000-4,999 1-99 3-5
## 138 <NA> <NA> < 1
## 139 25,000-29,999 1000-9,999 1-2
## 140 <NA> <NA> 3-5
## 141 20,000-24,999 0 None
## 142 40,000-49,999 > 100,000 3-5
## 143 100,000-124,999 > 100,000 20+
## 144 15,000-19,999 0 5-10
## 145 1,000-1,999 10,000-99,999 5-10
## 146 150,000-199,999 0 10-20
## 147 30,000-39,999 100-999 1-2
## 148 <NA> <NA> < 1
## 149 <NA> <NA> 1-2
## 150 125,000-149,999 1000-9,999 3-5
## 151 <NA> <NA> <NA>
## 152 0-999 1-99 3-5
## 153 20,000-24,999 100-999 5-10
## 154 30,000-39,999 100-999 3-5
## 155 10,000-14,999 100-999 1-2
## 156 200,000-249,999 > 100,000 10-20
## 157 7,500-9,999 1-99 3-5
## 158 50,000-59,999 1-99 3-5
## 159 30,000-39,999 0 5-10
## 160 125,000-149,999 > 100,000 10-20
## 161 30,000-39,999 100-999 < 1
## 162 5,000-7,499 1-99 < 1
## 163 <NA> <NA> 10-20
## 164 <NA> <NA> < 1
## 165 10,000-14,999 1000-9,999 3-5
## 166 3,000-3,999 0 1-2
## 167 125,000-149,999 10,000-99,999 5-10
## 168 125,000-149,999 1000-9,999 5-10
## 169 125,000-149,999 1000-9,999 10-20
## 170 40,000-49,999 100-999 3-5
## 171 <NA> <NA> 3-5
## 172 <NA> <NA> 1-2
## 173 60,000-69,999 10,000-99,999 3-5
## 174 <NA> <NA> < 1
## 175 30,000-39,999 0 3-5
## 176 <NA> <NA> < 1
## 177 1,000-1,999 1000-9,999 1-2
## 178 5,000-7,499 100-999 1-2
## 179 <NA> <NA> < 1
## 180 40,000-49,999 100-999 3-5
## 181 0-999 0 < 1
## 182 70,000-79,999 0 3-5
## 183 0-999 0 3-5
## 184 1,000-1,999 1-99 < 1
## 185 90,000-99,999 10,000-99,999 20+
## 186 0-999 1-99 1-2
## 187 20,000-24,999 1-99 3-5
## 188 20,000-24,999 1000-9,999 1-2
## 189 70,000-79,999 1000-9,999 5-10
## 190 125,000-149,999 10,000-99,999 20+
## 191 15,000-19,999 1000-9,999 None
## 192 5,000-7,499 10,000-99,999 20+
## 193 <NA> <NA> < 1
## 194 0-999 1-99 < 1
## 195 <NA> <NA> < 1
## 196 <NA> <NA> 1-2
## 197 <NA> <NA> 1-2
## 198 125,000-149,999 1000-9,999 5-10
## 199 0-999 100-999 3-5
## 200 40,000-49,999 0 5-10
## 201 <NA> <NA> 1-2
## 202 70,000-79,999 0 3-5
## 203 60,000-69,999 1-99 < 1
## 204 <NA> <NA> 3-5
## 205 10,000-14,999 1-99 3-5
## 206 10,000-14,999 0 3-5
## 207 10,000-14,999 1000-9,999 3-5
## 208 1,000-1,999 100-999 5-10
## 209 10,000-14,999 0 3-5
## 210 60,000-69,999 0 1-2
## 211 <NA> <NA> 1-2
## 212 0-999 100-999 5-10
## 213 70,000-79,999 > 100,000 3-5
## 214 <NA> <NA> 1-2
## 215 10,000-14,999 10,000-99,999 1-2
## 216 <NA> <NA> < 1
## 217 40,000-49,999 1000-9,999 3-5
## 218 <NA> <NA> < 1
## 219 50,000-59,999 0 3-5
## 220 0-999 1000-9,999 1-2
## 221 25,000-29,999 0 10-20
## 222 20,000-24,999 0 < 1
## 223 60,000-69,999 1000-9,999 5-10
## 224 90,000-99,999 0 10-20
## 225 0-999 1-99 < 1
## 226 30,000-39,999 0 None
## 227 <NA> <NA> 20+
## 228 <NA> <NA> 3-5
## 229 <NA> <NA> 1-2
## 230 10,000-14,999 1000-9,999 1-2
## 231 150,000-199,999 0 20+
## 232 <NA> <NA> None
## 233 150,000-199,999 > 100,000 5-10
## 234 15,000-19,999 100-999 < 1
## 235 5,000-7,499 1000-9,999 1-2
## 236 70,000-79,999 1000-9,999 3-5
## 237 30,000-39,999 1-99 1-2
## 238 200,000-249,999 > 100,000 5-10
## 239 2,000-2,999 0 3-5
## 240 100,000-124,999 1000-9,999 10-20
## 241 80,000-89,999 10,000-99,999 10-20
## 242 50,000-59,999 0 3-5
## 243 <NA> <NA> < 1
## 244 <NA> <NA> < 1
## 245 15,000-19,999 0 < 1
## 246 <NA> <NA> None
## 247 3,000-3,999 0 3-5
## 248 <NA> <NA> None
## 249 50,000-59,999 1000-9,999 5-10
## 250 50,000-59,999 10,000-99,999 3-5
## 251 30,000-39,999 100-999 10-20
## 252 5,000-7,499 100-999 5-10
## 253 40,000-49,999 100-999 3-5
## 254 200,000-249,999 1000-9,999 5-10
## 255 60,000-69,999 100-999 5-10
## 256 100,000-124,999 10,000-99,999 20+
## 257 <NA> <NA> 3-5
## 258 70,000-79,999 0 1-2
## 259 200,000-249,999 1000-9,999 1-2
## 260 10,000-14,999 0 3-5
## 261 90,000-99,999 10,000-99,999 3-5
## 262 80,000-89,999 100-999 5-10
## 263 70,000-79,999 0 5-10
## 264 250,000-299,999 > 100,000 10-20
## 265 <NA> <NA> 1-2
## 266 <NA> <NA> 1-2
## 267 100,000-124,999 0 < 1
## 268 4,000-4,999 1-99 5-10
## 269 <NA> <NA> < 1
## 270 50,000-59,999 1000-9,999 5-10
## 271 150,000-199,999 10,000-99,999 10-20
## 272 90,000-99,999 10,000-99,999 20+
## 273 40,000-49,999 100-999 1-2
## 274 200,000-249,999 100-999 3-5
## 275 <NA> <NA> 3-5
## 276 <NA> <NA> 1-2
## 277 5,000-7,499 1000-9,999 < 1
## 278 0-999 0 < 1
## 279 125,000-149,999 10,000-99,999 10-20
## 280 5,000-7,499 1000-9,999 3-5
## 281 40,000-49,999 100-999 1-2
## 282 125,000-149,999 10,000-99,999 5-10
## 283 <NA> <NA> < 1
## 284 > 500,000 > 100,000 10-20
## 285 4,000-4,999 1-99 1-2
## 286 <NA> <NA> 1-2
## 287 <NA> <NA> < 1
## 288 70,000-79,999 10,000-99,999 1-2
## 289 150,000-199,999 > 100,000 1-2
## 290 <NA> <NA> 3-5
## 291 10,000-14,999 1-99 3-5
## 292 40,000-49,999 1000-9,999 3-5
## 293 15,000-19,999 0 3-5
## 294 40,000-49,999 1-99 5-10
## 295 125,000-149,999 > 100,000 10-20
## 296 100,000-124,999 10,000-99,999 10-20
## 297 100,000-124,999 0 20+
## 298 0-999 0 1-2
## 299 40,000-49,999 1-99 5-10
## 300 60,000-69,999 1000-9,999 5-10
## 301 90,000-99,999 0 5-10
## 302 90,000-99,999 0 5-10
## 303 25,000-29,999 10,000-99,999 10-20
## 304 100,000-124,999 100-999 None
## 305 3,000-3,999 100-999 < 1
## 306 30,000-39,999 1000-9,999 20+
## 307 <NA> <NA> None
## 308 0-999 1-99 < 1
## 309 <NA> <NA> 5-10
## 310 <NA> <NA> < 1
## 311 60,000-69,999 0 5-10
## 312 4,000-4,999 0 < 1
## 313 80,000-89,999 > 100,000 3-5
## 314 2,000-2,999 100-999 1-2
## 315 <NA> <NA> 1-2
## 316 10,000-14,999 1-99 < 1
## 317 <NA> <NA> < 1
## 318 20,000-24,999 0 < 1
## 319 10,000-14,999 1-99 1-2
## 320 3,000-3,999 1000-9,999 10-20
## 321 20,000-24,999 1000-9,999 1-2
## 322 0-999 1-99 1-2
## 323 4,000-4,999 1000-9,999 < 1
## 324 7,500-9,999 100-999 3-5
## 325 <NA> <NA> < 1
## 326 90,000-99,999 100-999 10-20
## 327 10,000-14,999 100-999 < 1
## 328 15,000-19,999 0 3-5
## 329 <NA> <NA> < 1
## 330 25,000-29,999 0 1-2
## 331 7,500-9,999 0 3-5
## 332 100,000-124,999 1-99 1-2
## 333 <NA> <NA> 3-5
## 334 30,000-39,999 0 < 1
## 335 25,000-29,999 > 100,000 3-5
## 336 70,000-79,999 0 5-10
## 337 80,000-89,999 0 < 1
## 338 0-999 0 < 1
## 339 100,000-124,999 > 100,000 3-5
## 340 40,000-49,999 0 < 1
## 341 100,000-124,999 > 100,000 5-10
## 342 <NA> <NA> 3-5
## 343 4,000-4,999 0 1-2
## 344 7,500-9,999 0 None
## 345 <NA> <NA> < 1
## 346 <NA> <NA> 1-2
## 347 <NA> <NA> 1-2
## 348 125,000-149,999 10,000-99,999 5-10
## 349 <NA> <NA> None
## 350 <NA> <NA> < 1
## 351 <NA> <NA> 1-2
## 352 80,000-89,999 0 5-10
## 353 <NA> <NA> 1-2
## 354 25,000-29,999 0 3-5
## 355 <NA> <NA> < 1
## 356 1,000-1,999 1-99 < 1
## 357 300,000-500,000 100-999 20+
## 358 25,000-29,999 1000-9,999 3-5
## 359 20,000-24,999 0 1-2
## 360 20,000-24,999 100-999 5-10
## 361 150,000-199,999 > 100,000 20+
## 362 15,000-19,999 1-99 1-2
## 363 10,000-14,999 1000-9,999 1-2
## 364 40,000-49,999 0 5-10
## 365 80,000-89,999 1000-9,999 5-10
## 366 0-999 1-99 1-2
## 367 <NA> <NA> < 1
## 368 5,000-7,499 100-999 < 1
## 369 90,000-99,999 1-99 3-5
## 370 10,000-14,999 0 1-2
## 371 5,000-7,499 1-99 < 1
## 372 40,000-49,999 1-99 3-5
## 373 125,000-149,999 0 3-5
## 374 <NA> <NA> 3-5
## 375 <NA> <NA> < 1
## 376 125,000-149,999 10,000-99,999 1-2
## 377 40,000-49,999 0 3-5
## 378 5,000-7,499 1-99 1-2
## 379 200,000-249,999 100-999 20+
## 380 4,000-4,999 0 3-5
## 381 30,000-39,999 100-999 1-2
## 382 20,000-24,999 1-99 3-5
## 383 10,000-14,999 1000-9,999 3-5
## 384 2,000-2,999 100-999 1-2
## 385 10,000-14,999 1000-9,999 1-2
## 386 25,000-29,999 > 100,000 < 1
## 387 5,000-7,499 1000-9,999 < 1
## 388 0-999 100-999 None
## 389 50,000-59,999 0 3-5
## 390 15,000-19,999 0 10-20
## 391 <NA> <NA> 1-2
## 392 <NA> <NA> 1-2
## 393 10,000-14,999 100-999 < 1
## 394 0-999 0 1-2
## 395 300,000-500,000 0 1-2
## 396 100,000-124,999 10,000-99,999 5-10
## 397 200,000-249,999 > 100,000 5-10
## 398 10,000-14,999 1-99 5-10
## 399 7,500-9,999 100-999 3-5
## 400 <NA> <NA> 1-2
## 401 90,000-99,999 0 < 1
## 402 <NA> <NA> 1-2
## 403 5,000-7,499 > 100,000 5-10
## 404 <NA> <NA> < 1
## 405 <NA> <NA> < 1
## 406 <NA> <NA> < 1
## 407 10,000-14,999 1-99 1-2
## 408 15,000-19,999 0 5-10
## 409 <NA> <NA> < 1
## 410 80,000-89,999 100-999 < 1
## 411 <NA> <NA> 3-5
## 412 10,000-14,999 100-999 3-5
## 413 70,000-79,999 1000-9,999 3-5
## 414 20,000-24,999 1000-9,999 < 1
## 415 50,000-59,999 1-99 5-10
## 416 <NA> <NA> < 1
## 417 100,000-124,999 100-999 1-2
## 418 10,000-14,999 0 < 1
## 419 <NA> <NA> < 1
## 420 <NA> <NA> < 1
## 421 100,000-124,999 10,000-99,999 10-20
## 422 30,000-39,999 100-999 1-2
## 423 150,000-199,999 1000-9,999 5-10
## 424 <NA> <NA> 3-5
## 425 15,000-19,999 0 1-2
## 426 125,000-149,999 10,000-99,999 5-10
## 427 <NA> <NA> 3-5
## 428 7,500-9,999 10,000-99,999 3-5
## 429 60,000-69,999 0 1-2
## 430 <NA> <NA> < 1
## 431 70,000-79,999 10,000-99,999 10-20
## 432 <NA> <NA> 3-5
## 433 <NA> <NA> < 1
## 434 <NA> <NA> 1-2
## 435 <NA> <NA> < 1
## 436 10,000-14,999 0 None
## 437 0-999 0 < 1
## 438 20,000-24,999 100-999 1-2
## 439 > 500,000 10,000-99,999 < 1
## 440 <NA> <NA> < 1
## 441 <NA> <NA> < 1
## 442 <NA> <NA> None
## 443 10,000-14,999 0 5-10
## 444 20,000-24,999 100-999 3-5
## 445 <NA> <NA> < 1
## 446 <NA> <NA> 1-2
## 447 50,000-59,999 100-999 5-10
## 448 60,000-69,999 1000-9,999 1-2
## 449 50,000-59,999 0 3-5
## 450 30,000-39,999 1000-9,999 5-10
## 451 125,000-149,999 1000-9,999 3-5
## 452 <NA> <NA> 3-5
## 453 125,000-149,999 10,000-99,999 20+
## 454 1,000-1,999 1-99 < 1
## 455 70,000-79,999 1-99 10-20
## 456 15,000-19,999 1000-9,999 < 1
## 457 125,000-149,999 0 20+
## 458 90,000-99,999 10,000-99,999 1-2
## 459 <NA> <NA> 1-2
## 460 90,000-99,999 10,000-99,999 5-10
## 461 25,000-29,999 0 < 1
## 462 1,000-1,999 100-999 3-5
## 463 200,000-249,999 > 100,000 5-10
## 464 <NA> <NA> < 1
## 465 30,000-39,999 > 100,000 None
## 466 <NA> <NA> 1-2
## 467 100,000-124,999 > 100,000 10-20
## 468 25,000-29,999 0 < 1
## 469 100,000-124,999 > 100,000 3-5
## 470 70,000-79,999 0 5-10
## 471 <NA> <NA> None
## 472 150,000-199,999 > 100,000 10-20
## 473 40,000-49,999 1000-9,999 3-5
## 474 10,000-14,999 0 < 1
## 475 <NA> <NA> <NA>
## 476 125,000-149,999 100-999 < 1
## 477 50,000-59,999 0 1-2
## 478 100,000-124,999 0 5-10
## 479 100,000-124,999 0 20+
## 480 <NA> <NA> None
## 481 25,000-29,999 1000-9,999 3-5
## 482 5,000-7,499 1000-9,999 3-5
## 483 100,000-124,999 10,000-99,999 3-5
## 484 100,000-124,999 100-999 1-2
## 485 <NA> <NA> 1-2
## 486 50,000-59,999 0 < 1
## 487 60,000-69,999 > 100,000 3-5
## 488 250,000-299,999 > 100,000 10-20
## 489 <NA> <NA> 3-5
## 490 <NA> <NA> 1-2
## 491 80,000-89,999 > 100,000 3-5
## 492 90,000-99,999 0 10-20
## 493 10,000-14,999 0 < 1
## 494 250,000-299,999 > 100,000 10-20
## 495 90,000-99,999 0 < 1
## 496 125,000-149,999 > 100,000 5-10
## 497 1,000-1,999 1-99 3-5
## 498 20,000-24,999 0 10-20
## 499 20,000-24,999 0 3-5
## 500 90,000-99,999 1000-9,999 5-10
## 501 <NA> <NA> None
## 502 5,000-7,499 100-999 < 1
## 503 300,000-500,000 > 100,000 10-20
## 504 30,000-39,999 1000-9,999 3-5
## 505 7,500-9,999 10,000-99,999 1-2
## 506 40,000-49,999 100-999 < 1
## 507 <NA> <NA> 3-5
## 508 40,000-49,999 1000-9,999 1-2
## 509 80,000-89,999 10,000-99,999 5-10
## 510 <NA> <NA> 3-5
## 511 20,000-24,999 100-999 3-5
## 512 0-999 0 1-2
## 513 20,000-24,999 100-999 1-2
## 514 0-999 1-99 < 1
## 515 125,000-149,999 > 100,000 3-5
## 516 80,000-89,999 0 20+
## 517 <NA> <NA> < 1
## 518 7,500-9,999 100-999 3-5
## 519 <NA> <NA> < 1
## 520 0-999 0 10-20
## 521 10,000-14,999 100-999 1-2
## 522 <NA> <NA> 1-2
## 523 90,000-99,999 10,000-99,999 5-10
## 524 25,000-29,999 0 None
## 525 20,000-24,999 0 1-2
## 526 200,000-249,999 10,000-99,999 20+
## 527 150,000-199,999 0 10-20
## 528 <NA> <NA> 1-2
## 529 125,000-149,999 10,000-99,999 10-20
## 530 <NA> <NA> 3-5
## 531 <NA> <NA> 1-2
## 532 150,000-199,999 10,000-99,999 20+
## 533 30,000-39,999 10,000-99,999 10-20
## 534 150,000-199,999 > 100,000 10-20
## 535 125,000-149,999 10,000-99,999 3-5
## 536 <NA> <NA> 3-5
## 537 <NA> <NA> < 1
## 538 7,500-9,999 0 None
## 539 125,000-149,999 1000-9,999 10-20
## 540 <NA> <NA> < 1
## 541 15,000-19,999 100-999 3-5
## 542 60,000-69,999 1000-9,999 3-5
## 543 <NA> <NA> 5-10
## 544 90,000-99,999 10,000-99,999 1-2
## 545 <NA> <NA> < 1
## 546 300,000-500,000 10,000-99,999 5-10
## 547 40,000-49,999 1000-9,999 1-2
## 548 <NA> <NA> 1-2
## 549 <NA> <NA> 3-5
## 550 150,000-199,999 10,000-99,999 5-10
## 551 1,000-1,999 > 100,000 3-5
## 552 60,000-69,999 0 3-5
## 553 100,000-124,999 0 1-2
## 554 150,000-199,999 0 10-20
## 555 10,000-14,999 0 1-2
## 556 4,000-4,999 0 3-5
## 557 3,000-3,999 1000-9,999 < 1
## 558 <NA> <NA> 1-2
## 559 15,000-19,999 0 < 1
## 560 <NA> <NA> 20+
## 561 100,000-124,999 1000-9,999 10-20
## 562 60,000-69,999 1000-9,999 3-5
## 563 40,000-49,999 1-99 5-10
## 564 <NA> <NA> < 1
## 565 250,000-299,999 10,000-99,999 10-20
## 566 0-999 0 < 1
## 567 125,000-149,999 0 5-10
## 568 40,000-49,999 100-999 3-5
## 569 0-999 0 < 1
## 570 25,000-29,999 0 3-5
## 571 <NA> <NA> < 1
## 572 50,000-59,999 10,000-99,999 3-5
## 573 0-999 1-99 < 1
## 574 50,000-59,999 > 100,000 20+
## 575 <NA> <NA> 1-2
## 576 125,000-149,999 1-99 < 1
## 577 50,000-59,999 0 5-10
## 578 4,000-4,999 1000-9,999 10-20
## 579 0-999 100-999 1-2
## 580 <NA> <NA> None
## 581 1,000-1,999 1-99 < 1
## 582 <NA> <NA> < 1
## 583 15,000-19,999 100-999 10-20
## 584 60,000-69,999 1-99 5-10
## 585 90,000-99,999 1000-9,999 1-2
## 586 10,000-14,999 0 3-5
## 587 150,000-199,999 1000-9,999 10-20
## 588 80,000-89,999 > 100,000 < 1
## 589 <NA> <NA> 3-5
## 590 70,000-79,999 1000-9,999 10-20
## 591 <NA> <NA> < 1
## 592 30,000-39,999 1000-9,999 10-20
## 593 <NA> <NA> 1-2
## 594 50,000-59,999 0 3-5
## 595 10,000-14,999 1000-9,999 5-10
## 596 <NA> <NA> < 1
## 597 <NA> <NA> 1-2
## 598 <NA> <NA> < 1
## 599 <NA> <NA> < 1
## 600 <NA> <NA> < 1
## 601 25,000-29,999 0 3-5
## 602 90,000-99,999 1000-9,999 < 1
## 603 <NA> <NA> 1-2
## 604 <NA> <NA> None
## 605 <NA> <NA> 3-5
## 606 40,000-49,999 0 5-10
## 607 0-999 0 1-2
## 608 25,000-29,999 10,000-99,999 3-5
## 609 <NA> <NA> 1-2
## 610 0-999 100-999 3-5
## 611 20,000-24,999 10,000-99,999 5-10
## 612 60,000-69,999 10,000-99,999 None
## 613 <NA> <NA> < 1
## 614 30,000-39,999 100-999 10-20
## 615 3,000-3,999 0 None
## 616 2,000-2,999 1000-9,999 5-10
## 617 5,000-7,499 100-999 3-5
## 618 100,000-124,999 > 100,000 5-10
## 619 50,000-59,999 > 100,000 1-2
## 620 15,000-19,999 10,000-99,999 10-20
## 621 30,000-39,999 1000-9,999 3-5
## 622 <NA> <NA> 1-2
## 623 150,000-199,999 100-999 3-5
## 624 <NA> <NA> 1-2
## 625 7,500-9,999 1-99 3-5
## 626 10,000-14,999 1-99 3-5
## 627 1,000-1,999 100-999 None
## 628 <NA> <NA> < 1
## 629 60,000-69,999 0 5-10
## 630 25,000-29,999 1-99 1-2
## 631 50,000-59,999 1000-9,999 1-2
## 632 <NA> <NA> < 1
## 633 70,000-79,999 0 3-5
## 634 200,000-249,999 > 100,000 20+
## 635 3,000-3,999 0 3-5
## 636 10,000-14,999 100-999 1-2
## 637 50,000-59,999 1000-9,999 None
## 638 <NA> <NA> 20+
## 639 <NA> <NA> 1-2
## 640 <NA> <NA> 1-2
## 641 125,000-149,999 1000-9,999 10-20
## 642 <NA> <NA> 1-2
## 643 90,000-99,999 0 3-5
## 644 125,000-149,999 10,000-99,999 5-10
## 645 60,000-69,999 1000-9,999 5-10
## 646 <NA> <NA> 1-2
## 647 <NA> <NA> < 1
## 648 0-999 1-99 3-5
## 649 25,000-29,999 100-999 5-10
## 650 80,000-89,999 100-999 3-5
## 651 <NA> <NA> < 1
## 652 <NA> <NA> < 1
## 653 100,000-124,999 > 100,000 10-20
## 654 <NA> <NA> 3-5
## 655 30,000-39,999 0 < 1
## 656 10,000-14,999 1000-9,999 1-2
## 657 15,000-19,999 0 < 1
## 658 4,000-4,999 1000-9,999 5-10
## 659 <NA> <NA> 1-2
## 660 25,000-29,999 0 1-2
## 661 7,500-9,999 0 1-2
## 662 <NA> <NA> 1-2
## 663 200,000-249,999 > 100,000 1-2
## 664 <NA> <NA> 5-10
## 665 125,000-149,999 > 100,000 3-5
## 666 10,000-14,999 100-999 < 1
## 667 <NA> <NA> None
## 668 <NA> <NA> 5-10
## 669 60,000-69,999 0 3-5
## 670 <NA> <NA> < 1
## 671 40,000-49,999 1000-9,999 10-20
## 672 <NA> <NA> < 1
## 673 150,000-199,999 1000-9,999 None
## 674 0-999 100-999 < 1
## 675 150,000-199,999 > 100,000 10-20
## 676 40,000-49,999 0 3-5
## 677 0-999 0 None
## 678 <NA> <NA> 1-2
## 679 <NA> <NA> < 1
## 680 0-999 1-99 None
## 681 30,000-39,999 0 5-10
## 682 60,000-69,999 > 100,000 10-20
## 683 50,000-59,999 0 3-5
## 684 125,000-149,999 10,000-99,999 10-20
## 685 <NA> <NA> < 1
## 686 <NA> <NA> 1-2
## 687 70,000-79,999 10,000-99,999 3-5
## 688 <NA> <NA> < 1
## 689 0-999 0 < 1
## 690 80,000-89,999 1-99 3-5
## 691 0-999 1000-9,999 < 1
## 692 3,000-3,999 10,000-99,999 < 1
## 693 0-999 1000-9,999 1-2
## 694 20,000-24,999 10,000-99,999 < 1
## 695 1,000-1,999 1-99 3-5
## 696 <NA> <NA> < 1
## 697 70,000-79,999 10,000-99,999 20+
## 698 5,000-7,499 1000-9,999 3-5
## 699 70,000-79,999 0 5-10
## 700 70,000-79,999 100-999 10-20
## 701 100,000-124,999 > 100,000 3-5
## 702 <NA> <NA> 5-10
## 703 <NA> <NA> < 1
## 704 10,000-14,999 100-999 1-2
## 705 200,000-249,999 0 5-10
## 706 15,000-19,999 0 1-2
## 707 100,000-124,999 1000-9,999 3-5
## 708 80,000-89,999 10,000-99,999 10-20
## 709 <NA> <NA> < 1
## 710 <NA> <NA> 1-2
## 711 5,000-7,499 100-999 3-5
## 712 60,000-69,999 0 3-5
## 713 0-999 1-99 3-5
## 714 0-999 0 < 1
## 715 <NA> <NA> None
## 716 60,000-69,999 > 100,000 3-5
## 717 1,000-1,999 100-999 1-2
## 718 <NA> <NA> < 1
## 719 <NA> <NA> 20+
## 720 3,000-3,999 100-999 10-20
## 721 2,000-2,999 0 < 1
## 722 <NA> <NA> < 1
## 723 <NA> <NA> 3-5
## 724 90,000-99,999 10,000-99,999 3-5
## 725 15,000-19,999 0 None
## 726 1,000-1,999 1-99 1-2
## 727 125,000-149,999 100-999 3-5
## 728 50,000-59,999 1-99 5-10
## 729 150,000-199,999 100-999 5-10
## 730 <NA> <NA> < 1
## 731 50,000-59,999 0 5-10
## 732 <NA> <NA> < 1
## 733 7,500-9,999 1-99 < 1
## 734 70,000-79,999 10,000-99,999 3-5
## 735 5,000-7,499 100-999 1-2
## 736 5,000-7,499 10,000-99,999 1-2
## 737 100,000-124,999 0 5-10
## 738 <NA> <NA> 1-2
## 739 <NA> <NA> 3-5
## 740 30,000-39,999 > 100,000 1-2
## 741 25,000-29,999 100-999 3-5
## 742 <NA> <NA> 1-2
## 743 40,000-49,999 0 1-2
## 744 15,000-19,999 100-999 1-2
## 745 2,000-2,999 0 < 1
## 746 150,000-199,999 0 5-10
## 747 <NA> <NA> < 1
## 748 <NA> <NA> 5-10
## 749 40,000-49,999 > 100,000 3-5
## 750 10,000-14,999 1000-9,999 1-2
## 751 125,000-149,999 1000-9,999 20+
## 752 <NA> <NA> < 1
## 753 1,000-1,999 1-99 < 1
## 754 60,000-69,999 100-999 < 1
## 755 100,000-124,999 0 5-10
## 756 50,000-59,999 0 10-20
## 757 0-999 0 None
## 758 7,500-9,999 0 1-2
## 759 1,000-1,999 0 3-5
## 760 25,000-29,999 0 < 1
## 761 10,000-14,999 10,000-99,999 3-5
## 762 > 500,000 > 100,000 10-20
## 763 125,000-149,999 > 100,000 1-2
## 764 > 500,000 > 100,000 10-20
## 765 70,000-79,999 0 < 1
## 766 20,000-24,999 10,000-99,999 3-5
## 767 100,000-124,999 1000-9,999 1-2
## 768 125,000-149,999 0 5-10
## 769 1,000-1,999 0 None
## 770 15,000-19,999 1000-9,999 1-2
## 771 10,000-14,999 0 1-2
## 772 125,000-149,999 10,000-99,999 3-5
## 773 0-999 0 < 1
## 774 10,000-14,999 10,000-99,999 3-5
## 775 <NA> <NA> 1-2
## 776 <NA> <NA> < 1
## 777 30,000-39,999 0 < 1
## 778 25,000-29,999 0 < 1
## 779 <NA> <NA> 3-5
## 780 40,000-49,999 1000-9,999 10-20
## 781 <NA> <NA> 1-2
## 782 125,000-149,999 100-999 5-10
## 783 25,000-29,999 0 1-2
## 784 15,000-19,999 10,000-99,999 1-2
## 785 <NA> <NA> < 1
## 786 7,500-9,999 1000-9,999 5-10
## 787 <NA> <NA> < 1
## 788 <NA> <NA> 3-5
## 789 40,000-49,999 10,000-99,999 5-10
## 790 125,000-149,999 10,000-99,999 5-10
## 791 <NA> <NA> < 1
## 792 10,000-14,999 100-999 < 1
## 793 50,000-59,999 0 5-10
## 794 <NA> <NA> 3-5
## 795 50,000-59,999 1-99 10-20
## 796 30,000-39,999 100-999 5-10
## 797 20,000-24,999 > 100,000 3-5
## 798 <NA> <NA> < 1
## 799 0-999 1000-9,999 10-20
## 800 100,000-124,999 1000-9,999 < 1
## 801 25,000-29,999 0 < 1
## 802 20,000-24,999 100-999 10-20
## 803 40,000-49,999 1-99 5-10
## 804 100,000-124,999 0 5-10
## 805 40,000-49,999 0 1-2
## 806 25,000-29,999 0 3-5
## 807 70,000-79,999 10,000-99,999 1-2
## 808 10,000-14,999 1000-9,999 1-2
## 809 7,500-9,999 1-99 < 1
## 810 60,000-69,999 1000-9,999 3-5
## 811 1,000-1,999 0 < 1
## 812 <NA> <NA> None
## 813 <NA> <NA> < 1
## 814 70,000-79,999 0 3-5
## 815 2,000-2,999 1000-9,999 1-2
## 816 <NA> <NA> < 1
## 817 70,000-79,999 1000-9,999 3-5
## 818 250,000-299,999 10,000-99,999 5-10
## 819 <NA> <NA> 5-10
## 820 80,000-89,999 0 5-10
## 821 <NA> <NA> None
## 822 2,000-2,999 100-999 None
## 823 50,000-59,999 0 10-20
## 824 50,000-59,999 0 3-5
## 825 40,000-49,999 0 5-10
## 826 150,000-199,999 > 100,000 3-5
## 827 25,000-29,999 1-99 < 1
## 828 80,000-89,999 > 100,000 3-5
## 829 100,000-124,999 100-999 3-5
## 830 > 500,000 > 100,000 10-20
## 831 5,000-7,499 100-999 < 1
## 832 150,000-199,999 0 5-10
## 833 0-999 100-999 3-5
## 834 5,000-7,499 10,000-99,999 5-10
## 835 0-999 1-99 < 1
## 836 <NA> <NA> 1-2
## 837 <NA> <NA> 1-2
## 838 0-999 0 1-2
## 839 25,000-29,999 0 < 1
## 840 200,000-249,999 > 100,000 20+
## 841 25,000-29,999 0 5-10
## 842 <NA> <NA> < 1
## 843 0-999 1000-9,999 < 1
## 844 30,000-39,999 0 < 1
## 845 25,000-29,999 1000-9,999 3-5
## 846 <NA> <NA> 5-10
## 847 1,000-1,999 100-999 < 1
## 848 100,000-124,999 > 100,000 3-5
## 849 <NA> <NA> < 1
## 850 40,000-49,999 100-999 5-10
## 851 10,000-14,999 1-99 3-5
## 852 60,000-69,999 10,000-99,999 1-2
## 853 125,000-149,999 10,000-99,999 10-20
## 854 125,000-149,999 10,000-99,999 20+
## 855 30,000-39,999 10,000-99,999 5-10
## 856 0-999 0 None
## 857 100,000-124,999 10,000-99,999 20+
## 858 <NA> <NA> 3-5
## 859 <NA> <NA> None
## 860 <NA> <NA> None
## 861 <NA> <NA> 3-5
## 862 <NA> <NA> < 1
## 863 5,000-7,499 0 1-2
## 864 125,000-149,999 0 3-5
## 865 60,000-69,999 100-999 5-10
## 866 1,000-1,999 1000-9,999 3-5
## 867 5,000-7,499 1-99 1-2
## 868 <NA> <NA> 1-2
## 869 <NA> <NA> < 1
## 870 <NA> <NA> 3-5
## 871 2,000-2,999 1000-9,999 1-2
## 872 60,000-69,999 100-999 5-10
## 873 4,000-4,999 1000-9,999 5-10
## 874 <NA> <NA> < 1
## 875 200,000-249,999 0 3-5
## 876 15,000-19,999 100-999 1-2
## 877 20,000-24,999 1000-9,999 3-5
## 878 7,500-9,999 0 < 1
## 879 5,000-7,499 100-999 < 1
## 880 5,000-7,499 > 100,000 None
## 881 <NA> <NA> < 1
## 882 3,000-3,999 0 1-2
## 883 70,000-79,999 1000-9,999 1-2
## 884 <NA> <NA> 3-5
## 885 <NA> <NA> < 1
## 886 125,000-149,999 0 10-20
## 887 50,000-59,999 0 3-5
## 888 <NA> <NA> < 1
## 889 <NA> <NA> 1-2
## 890 0-999 0 3-5
## 891 150,000-199,999 10,000-99,999 5-10
## 892 60,000-69,999 10,000-99,999 5-10
## 893 25,000-29,999 1000-9,999 10-20
## 894 30,000-39,999 0 < 1
## 895 60,000-69,999 1000-9,999 10-20
## 896 <NA> <NA> < 1
## 897 <NA> <NA> 3-5
## 898 0-999 0 None
## 899 5,000-7,499 100-999 1-2
## 900 3,000-3,999 0 None
## 901 <NA> <NA> 5-10
## 902 <NA> <NA> 1-2
## 903 100,000-124,999 10,000-99,999 3-5
## 904 4,000-4,999 0 < 1
## 905 10,000-14,999 100-999 3-5
## 906 125,000-149,999 10,000-99,999 10-20
## 907 7,500-9,999 > 100,000 1-2
## 908 20,000-24,999 0 1-2
## 909 <NA> <NA> < 1
## 910 125,000-149,999 1000-9,999 3-5
## 911 100,000-124,999 0 < 1
## 912 30,000-39,999 > 100,000 1-2
## 913 <NA> <NA> 1-2
## 914 15,000-19,999 1-99 1-2
## 915 20,000-24,999 100-999 1-2
## 916 100,000-124,999 > 100,000 3-5
## 917 80,000-89,999 100-999 1-2
## 918 30,000-39,999 10,000-99,999 None
## 919 80,000-89,999 0 1-2
## 920 <NA> <NA> < 1
## 921 <NA> <NA> 3-5
## 922 <NA> <NA> < 1
## 923 2,000-2,999 1-99 < 1
## 924 <NA> <NA> 3-5
## 925 5,000-7,499 100-999 < 1
## 926 <NA> <NA> None
## 927 <NA> <NA> 1-2
## 928 0-999 100-999 3-5
## 929 125,000-149,999 10,000-99,999 10-20
## 930 0-999 1-99 3-5
## 931 <NA> <NA> < 1
## 932 <NA> <NA> < 1
## 933 <NA> <NA> < 1
## 934 0-999 100-999 5-10
## 935 40,000-49,999 1000-9,999 1-2
## 936 <NA> <NA> 3-5
## 937 30,000-39,999 100-999 5-10
## 938 1,000-1,999 0 20+
## 939 <NA> <NA> 1-2
## 940 100,000-124,999 > 100,000 5-10
## 941 30,000-39,999 0 < 1
## 942 1,000-1,999 1-99 5-10
## 943 300,000-500,000 > 100,000 10-20
## 944 150,000-199,999 10,000-99,999 10-20
## 945 70,000-79,999 0 3-5
## 946 20,000-24,999 100-999 3-5
## 947 <NA> <NA> < 1
## 948 70,000-79,999 0 10-20
## 949 0-999 100-999 < 1
## 950 0-999 100-999 1-2
## 951 30,000-39,999 10,000-99,999 1-2
## 952 <NA> <NA> < 1
## 953 2,000-2,999 0 5-10
## 954 100,000-124,999 10,000-99,999 3-5
## 955 20,000-24,999 100-999 5-10
## 956 70,000-79,999 1000-9,999 5-10
## 957 3,000-3,999 1-99 3-5
## 958 <NA> <NA> 10-20
## 959 <NA> <NA> 3-5
## 960 5,000-7,499 1-99 1-2
## 961 0-999 1000-9,999 < 1
## 962 0-999 100-999 3-5
## 963 10,000-14,999 100-999 < 1
## 964 <NA> <NA> < 1
## 965 25,000-29,999 10,000-99,999 5-10
## 966 150,000-199,999 > 100,000 5-10
## 967 30,000-39,999 1-99 3-5
## 968 <NA> <NA> 1-2
## 969 0-999 0 1-2
## 970 30,000-39,999 0 1-2
## 971 0-999 1000-9,999 < 1
## 972 250,000-299,999 0 20+
## 973 300,000-500,000 10,000-99,999 20+
## 974 <NA> <NA> 1-2
## 975 100,000-124,999 10,000-99,999 10-20
## 976 4,000-4,999 1-99 1-2
## 977 125,000-149,999 > 100,000 10-20
## 978 1,000-1,999 0 None
## 979 <NA> <NA> < 1
## 980 <NA> <NA> 1-2
## 981 <NA> <NA> None
## 982 150,000-199,999 0 1-2
## 983 <NA> <NA> 1-2
## 984 100,000-124,999 0 3-5
## 985 250,000-299,999 > 100,000 1-2
## 986 <NA> <NA> < 1
## 987 70,000-79,999 0 1-2
## 988 25,000-29,999 1000-9,999 5-10
## 989 5,000-7,499 0 1-2
## 990 10,000-14,999 1000-9,999 1-2
## 991 100,000-124,999 0 20+
## 992 125,000-149,999 10,000-99,999 20+
## 993 25,000-29,999 1-99 1-2
## 994 80,000-89,999 1000-9,999 3-5
## 995 0-999 100-999 3-5
## 996 15,000-19,999 100-999 < 1
## 997 0-999 100-999 5-10
## 998 <NA> <NA> < 1
## 999 30,000-39,999 10,000-99,999 3-5
## 1000 <NA> <NA> None
## 1001 40,000-49,999 1000-9,999 5-10
## 1002 80,000-89,999 0 3-5
## 1003 <NA> <NA> < 1
## 1004 1,000-1,999 100-999 1-2
## 1005 0-999 1-99 1-2
## 1006 30,000-39,999 100-999 3-5
## 1007 7,500-9,999 1000-9,999 3-5
## 1008 20,000-24,999 0 1-2
## 1009 60,000-69,999 0 1-2
## 1010 <NA> <NA> None
## 1011 10,000-14,999 0 1-2
## 1012 150,000-199,999 > 100,000 3-5
## 1013 <NA> <NA> 5-10
## 1014 90,000-99,999 10,000-99,999 5-10
## 1015 125,000-149,999 10,000-99,999 5-10
## 1016 80,000-89,999 > 100,000 < 1
## 1017 30,000-39,999 1-99 1-2
## 1018 1,000-1,999 0 1-2
## 1019 150,000-199,999 > 100,000 10-20
## 1020 0-999 0 5-10
## 1021 50,000-59,999 10,000-99,999 10-20
## 1022 150,000-199,999 > 100,000 10-20
## 1023 15,000-19,999 1000-9,999 3-5
## 1024 20,000-24,999 10,000-99,999 3-5
## 1025 3,000-3,999 100-999 3-5
## 1026 <NA> <NA> 1-2
## 1027 50,000-59,999 100-999 3-5
## 1028 250,000-299,999 1000-9,999 10-20
## 1029 100,000-124,999 100-999 < 1
## 1030 0-999 0 3-5
## 1031 25,000-29,999 1-99 5-10
## 1032 <NA> <NA> 1-2
## 1033 0-999 100-999 1-2
## 1034 60,000-69,999 0 3-5
## 1035 150,000-199,999 > 100,000 None
## 1036 70,000-79,999 0 3-5
## 1037 0-999 0 < 1
## 1038 15,000-19,999 0 None
## 1039 15,000-19,999 0 10-20
## 1040 70,000-79,999 1000-9,999 1-2
## 1041 90,000-99,999 1000-9,999 20+
## 1042 40,000-49,999 10,000-99,999 10-20
## 1043 4,000-4,999 100-999 3-5
## 1044 200,000-249,999 0 10-20
## 1045 125,000-149,999 10,000-99,999 < 1
## 1046 <NA> <NA> None
## 1047 25,000-29,999 100-999 1-2
## 1048 30,000-39,999 0 < 1
## 1049 5,000-7,499 0 None
## 1050 5,000-7,499 0 None
## 1051 125,000-149,999 1000-9,999 5-10
## 1052 <NA> <NA> 3-5
## 1053 0-999 1-99 < 1
## 1054 100,000-124,999 0 3-5
## 1055 15,000-19,999 10,000-99,999 < 1
## 1056 0-999 100-999 < 1
## 1057 25,000-29,999 0 5-10
## 1058 125,000-149,999 1000-9,999 3-5
## 1059 <NA> <NA> 3-5
## 1060 5,000-7,499 0 1-2
## 1061 40,000-49,999 100-999 5-10
## 1062 50,000-59,999 100-999 5-10
## 1063 <NA> <NA> < 1
## 1064 5,000-7,499 0 < 1
## 1065 0-999 100-999 1-2
## 1066 20,000-24,999 10,000-99,999 1-2
## 1067 <NA> <NA> 5-10
## 1068 40,000-49,999 0 3-5
## 1069 90,000-99,999 1000-9,999 3-5
## 1070 125,000-149,999 > 100,000 1-2
## 1071 50,000-59,999 0 1-2
## 1072 70,000-79,999 > 100,000 1-2
## 1073 <NA> <NA> 3-5
## 1074 25,000-29,999 0 < 1
## 1075 2,000-2,999 1000-9,999 < 1
## 1076 <NA> <NA> < 1
## 1077 150,000-199,999 > 100,000 5-10
## 1078 <NA> <NA> < 1
## 1079 15,000-19,999 1-99 < 1
## 1080 30,000-39,999 0 5-10
## 1081 150,000-199,999 1-99 5-10
## 1082 <NA> <NA> 3-5
## 1083 80,000-89,999 1000-9,999 5-10
## 1084 20,000-24,999 100-999 1-2
## 1085 30,000-39,999 100-999 3-5
## 1086 40,000-49,999 100-999 < 1
## 1087 15,000-19,999 0 < 1
## 1088 <NA> <NA> 3-5
## 1089 0-999 1-99 < 1
## 1090 0-999 100-999 < 1
## 1091 10,000-14,999 1-99 3-5
## 1092 <NA> <NA> < 1
## 1093 90,000-99,999 100-999 3-5
## 1094 <NA> <NA> 3-5
## 1095 20,000-24,999 100-999 1-2
## 1096 15,000-19,999 1000-9,999 3-5
## 1097 10,000-14,999 0 1-2
## 1098 100,000-124,999 10,000-99,999 5-10
## 1099 <NA> <NA> < 1
## 1100 10,000-14,999 1-99 3-5
## 1101 125,000-149,999 1000-9,999 3-5
## 1102 50,000-59,999 0 1-2
## 1103 150,000-199,999 10,000-99,999 10-20
## 1104 70,000-79,999 0 5-10
## 1105 10,000-14,999 1000-9,999 < 1
## 1106 <NA> <NA> < 1
## 1107 50,000-59,999 0 5-10
## 1108 1,000-1,999 1000-9,999 3-5
## 1109 30,000-39,999 1000-9,999 5-10
## 1110 <NA> <NA> 1-2
## 1111 80,000-89,999 1000-9,999 3-5
## 1112 20,000-24,999 100-999 3-5
## 1113 1,000-1,999 100-999 None
## 1114 <NA> <NA> 1-2
## 1115 <NA> <NA> < 1
## 1116 0-999 1-99 < 1
## 1117 60,000-69,999 10,000-99,999 5-10
## 1118 100,000-124,999 10,000-99,999 None
## 1119 50,000-59,999 100-999 3-5
## 1120 125,000-149,999 1000-9,999 1-2
## 1121 100,000-124,999 0 5-10
## 1122 <NA> <NA> 1-2
## 1123 7,500-9,999 1000-9,999 1-2
## 1124 30,000-39,999 0 20+
## 1125 60,000-69,999 0 3-5
## 1126 20,000-24,999 100-999 3-5
## 1127 80,000-89,999 1000-9,999 5-10
## 1128 70,000-79,999 1-99 1-2
## 1129 20,000-24,999 0 10-20
## 1130 125,000-149,999 0 3-5
## 1131 150,000-199,999 0 10-20
## 1132 0-999 0 3-5
## 1133 125,000-149,999 0 1-2
## 1134 <NA> <NA> 1-2
## 1135 125,000-149,999 > 100,000 3-5
## 1136 0-999 1-99 < 1
## 1137 <NA> <NA> 1-2
## 1138 10,000-14,999 0 1-2
## 1139 70,000-79,999 > 100,000 1-2
## 1140 125,000-149,999 1000-9,999 3-5
## 1141 7,500-9,999 100-999 3-5
## 1142 30,000-39,999 1000-9,999 5-10
## 1143 <NA> <NA> None
## 1144 25,000-29,999 1000-9,999 20+
## 1145 2,000-2,999 1000-9,999 1-2
## 1146 20,000-24,999 > 100,000 3-5
## 1147 <NA> <NA> < 1
## 1148 <NA> <NA> 1-2
## 1149 70,000-79,999 1-99 3-5
## 1150 0-999 0 10-20
## 1151 <NA> <NA> 5-10
## 1152 80,000-89,999 10,000-99,999 3-5
## 1153 200,000-249,999 1000-9,999 1-2
## 1154 90,000-99,999 10,000-99,999 3-5
## 1155 15,000-19,999 0 10-20
## 1156 10,000-14,999 1-99 < 1
## 1157 125,000-149,999 100-999 5-10
## 1158 5,000-7,499 1-99 1-2
## 1159 7,500-9,999 100-999 3-5
## 1160 70,000-79,999 0 3-5
## 1161 30,000-39,999 0 1-2
## 1162 <NA> <NA> 5-10
## 1163 20,000-24,999 1000-9,999 3-5
## 1164 125,000-149,999 1-99 10-20
## 1165 <NA> <NA> < 1
## 1166 <NA> <NA> 1-2
## 1167 <NA> <NA> 1-2
## 1168 <NA> <NA> 1-2
## 1169 <NA> <NA> 20+
## 1170 <NA> <NA> 5-10
## 1171 150,000-199,999 > 100,000 20+
## 1172 40,000-49,999 100-999 3-5
## 1173 10,000-14,999 0 1-2
## 1174 <NA> <NA> 1-2
## 1175 125,000-149,999 1000-9,999 20+
## 1176 <NA> <NA> 1-2
## 1177 2,000-2,999 1-99 < 1
## 1178 7,500-9,999 1000-9,999 1-2
## 1179 0-999 100-999 5-10
## 1180 <NA> <NA> <NA>
## 1181 20,000-24,999 100-999 20+
## 1182 <NA> <NA> 3-5
## 1183 10,000-14,999 0 < 1
## 1184 <NA> <NA> < 1
## 1185 15,000-19,999 1000-9,999 None
## 1186 <NA> <NA> 3-5
## 1187 <NA> <NA> 1-2
## 1188 <NA> <NA> < 1
## 1189 <NA> <NA> 3-5
## 1190 200,000-249,999 0 20+
## 1191 0-999 0 1-2
## 1192 20,000-24,999 100-999 3-5
## 1193 <NA> <NA> 1-2
## 1194 20,000-24,999 100-999 3-5
## 1195 125,000-149,999 10,000-99,999 5-10
## 1196 <NA> <NA> 3-5
## 1197 25,000-29,999 0 < 1
## 1198 10,000-14,999 1-99 1-2
## 1199 125,000-149,999 10,000-99,999 20+
## 1200 5,000-7,499 1000-9,999 < 1
## 1201 3,000-3,999 0 < 1
## 1202 90,000-99,999 1000-9,999 10-20
## 1203 20,000-24,999 1000-9,999 1-2
## 1204 30,000-39,999 100-999 3-5
## 1205 100,000-124,999 100-999 10-20
## 1206 90,000-99,999 0 1-2
## 1207 <NA> <NA> < 1
## 1208 30,000-39,999 1-99 3-5
## 1209 <NA> <NA> 1-2
## 1210 <NA> <NA> < 1
## 1211 <NA> <NA> None
## 1212 <NA> <NA> < 1
## 1213 40,000-49,999 0 1-2
## 1214 <NA> <NA> None
## 1215 70,000-79,999 10,000-99,999 3-5
## 1216 30,000-39,999 0 < 1
## 1217 125,000-149,999 > 100,000 20+
## 1218 <NA> <NA> 3-5
## 1219 50,000-59,999 10,000-99,999 3-5
## 1220 100,000-124,999 10,000-99,999 5-10
## 1221 70,000-79,999 100-999 3-5
## 1222 30,000-39,999 0 < 1
## 1223 <NA> <NA> < 1
## 1224 <NA> <NA> 3-5
## 1225 250,000-299,999 > 100,000 10-20
## 1226 <NA> <NA> 1-2
## 1227 125,000-149,999 100-999 20+
## 1228 <NA> <NA> < 1
## 1229 2,000-2,999 0 1-2
## 1230 0-999 1-99 < 1
## 1231 50,000-59,999 1000-9,999 5-10
## 1232 3,000-3,999 0 < 1
## 1233 90,000-99,999 1000-9,999 1-2
## 1234 250,000-299,999 10,000-99,999 10-20
## 1235 60,000-69,999 0 5-10
## 1236 100,000-124,999 > 100,000 3-5
## 1237 30,000-39,999 100-999 3-5
## 1238 100,000-124,999 0 10-20
## 1239 <NA> <NA> 1-2
## 1240 100,000-124,999 1000-9,999 10-20
## 1241 20,000-24,999 0 3-5
## 1242 <NA> <NA> None
## 1243 <NA> <NA> None
## 1244 70,000-79,999 0 1-2
## 1245 150,000-199,999 0 3-5
## 1246 25,000-29,999 0 5-10
## 1247 15,000-19,999 100-999 3-5
## 1248 40,000-49,999 0 3-5
## 1249 80,000-89,999 1000-9,999 3-5
## 1250 20,000-24,999 > 100,000 3-5
## 1251 <NA> <NA> < 1
## 1252 <NA> <NA> 1-2
## 1253 20,000-24,999 1000-9,999 5-10
## 1254 30,000-39,999 1-99 1-2
## 1255 4,000-4,999 100-999 3-5
## 1256 150,000-199,999 10,000-99,999 5-10
## 1257 0-999 1-99 3-5
## 1258 15,000-19,999 0 < 1
## 1259 100,000-124,999 0 5-10
## 1260 70,000-79,999 0 1-2
## 1261 125,000-149,999 10,000-99,999 1-2
## 1262 20,000-24,999 0 < 1
## 1263 7,500-9,999 1000-9,999 3-5
## 1264 250,000-299,999 > 100,000 3-5
## 1265 80,000-89,999 1000-9,999 3-5
## 1266 60,000-69,999 1-99 1-2
## 1267 200,000-249,999 > 100,000 1-2
## 1268 100,000-124,999 1000-9,999 10-20
## 1269 <NA> <NA> < 1
## 1270 <NA> <NA> None
## 1271 70,000-79,999 10,000-99,999 3-5
## 1272 1,000-1,999 1000-9,999 3-5
## 1273 <NA> <NA> < 1
## 1274 2,000-2,999 0 5-10
## 1275 70,000-79,999 0 5-10
## 1276 20,000-24,999 100-999 < 1
## 1277 200,000-249,999 > 100,000 10-20
## 1278 0-999 1-99 1-2
## 1279 0-999 10,000-99,999 1-2
## 1280 0-999 0 5-10
## 1281 80,000-89,999 1-99 10-20
## 1282 15,000-19,999 0 1-2
## 1283 4,000-4,999 0 1-2
## 1284 90,000-99,999 10,000-99,999 10-20
## 1285 7,500-9,999 1-99 1-2
## 1286 50,000-59,999 1-99 3-5
## 1287 <NA> <NA> 1-2
## 1288 <NA> <NA> < 1
## 1289 80,000-89,999 1000-9,999 3-5
## 1290 5,000-7,499 10,000-99,999 5-10
## 1291 30,000-39,999 0 5-10
## 1292 <NA> <NA> 20+
## 1293 40,000-49,999 1000-9,999 3-5
## 1294 40,000-49,999 100-999 5-10
## 1295 125,000-149,999 > 100,000 5-10
## 1296 90,000-99,999 10,000-99,999 None
## 1297 80,000-89,999 0 10-20
## 1298 40,000-49,999 0 3-5
## 1299 150,000-199,999 > 100,000 10-20
## 1300 60,000-69,999 0 5-10
## 1301 10,000-14,999 1-99 1-2
## 1302 0-999 1-99 < 1
## 1303 80,000-89,999 0 5-10
## 1304 150,000-199,999 10,000-99,999 20+
## 1305 100,000-124,999 0 10-20
## 1306 0-999 0 1-2
## 1307 25,000-29,999 0 1-2
## 1308 0-999 1-99 < 1
## 1309 100,000-124,999 0 3-5
## 1310 <NA> <NA> 1-2
## 1311 100,000-124,999 0 3-5
## 1312 <NA> <NA> 20+
## 1313 20,000-24,999 0 1-2
## 1314 100,000-124,999 10,000-99,999 3-5
## 1315 <NA> <NA> 5-10
## 1316 150,000-199,999 1000-9,999 5-10
## 1317 <NA> <NA> < 1
## 1318 200,000-249,999 10,000-99,999 20+
## 1319 15,000-19,999 0 3-5
## 1320 70,000-79,999 0 10-20
## 1321 0-999 1-99 1-2
## 1322 30,000-39,999 1000-9,999 < 1
## 1323 100,000-124,999 10,000-99,999 20+
## 1324 125,000-149,999 1-99 10-20
## 1325 0-999 1-99 1-2
## 1326 7,500-9,999 1000-9,999 10-20
## 1327 0-999 0 None
## 1328 20,000-24,999 10,000-99,999 3-5
## 1329 100,000-124,999 1-99 3-5
## 1330 100,000-124,999 0 10-20
## 1331 <NA> <NA> < 1
## 1332 50,000-59,999 > 100,000 3-5
## 1333 90,000-99,999 10,000-99,999 5-10
## 1334 300,000-500,000 10,000-99,999 10-20
## 1335 0-999 0 3-5
## 1336 90,000-99,999 > 100,000 10-20
## 1337 <NA> <NA> 3-5
## 1338 150,000-199,999 0 20+
## 1339 150,000-199,999 10,000-99,999 3-5
## 1340 40,000-49,999 100-999 1-2
## 1341 125,000-149,999 1000-9,999 10-20
## 1342 125,000-149,999 0 3-5
## 1343 40,000-49,999 0 3-5
## 1344 1,000-1,999 0 < 1
## 1345 100,000-124,999 0 10-20
## 1346 10,000-14,999 0 20+
## 1347 200,000-249,999 > 100,000 20+
## 1348 100,000-124,999 0 5-10
## 1349 3,000-3,999 10,000-99,999 5-10
## 1350 <NA> <NA> 1-2
## 1351 <NA> <NA> 3-5
## 1352 70,000-79,999 0 1-2
## 1353 100,000-124,999 10,000-99,999 10-20
## 1354 90,000-99,999 100-999 3-5
## 1355 90,000-99,999 10,000-99,999 3-5
## 1356 100,000-124,999 0 5-10
## 1357 10,000-14,999 1-99 3-5
## 1358 5,000-7,499 1-99 1-2
## 1359 100,000-124,999 0 3-5
## 1360 70,000-79,999 0 1-2
## 1361 40,000-49,999 1000-9,999 10-20
## 1362 10,000-14,999 0 < 1
## 1363 100,000-124,999 > 100,000 5-10
## 1364 <NA> <NA> < 1
## 1365 60,000-69,999 1000-9,999 5-10
## 1366 100,000-124,999 100-999 1-2
## 1367 50,000-59,999 1-99 10-20
## 1368 10,000-14,999 0 3-5
## 1369 0-999 0 < 1
## 1370 <NA> <NA> None
## 1371 80,000-89,999 0 3-5
## 1372 > 500,000 1000-9,999 5-10
## 1373 40,000-49,999 1000-9,999 3-5
## 1374 40,000-49,999 0 < 1
## 1375 5,000-7,499 100-999 None
## 1376 30,000-39,999 1-99 1-2
## 1377 30,000-39,999 0 < 1
## 1378 60,000-69,999 10,000-99,999 5-10
## 1379 5,000-7,499 0 < 1
## 1380 50,000-59,999 1000-9,999 < 1
## 1381 <NA> <NA> < 1
## 1382 150,000-199,999 0 10-20
## 1383 <NA> <NA> 3-5
## 1384 150,000-199,999 > 100,000 20+
## 1385 300,000-500,000 > 100,000 20+
## 1386 7,500-9,999 0 3-5
## 1387 10,000-14,999 1000-9,999 None
## 1388 70,000-79,999 1000-9,999 10-20
## 1389 5,000-7,499 > 100,000 3-5
## 1390 4,000-4,999 1-99 < 1
## 1391 <NA> <NA> < 1
## 1392 <NA> <NA> < 1
## 1393 <NA> <NA> 1-2
## 1394 0-999 0 < 1
## 1395 20,000-24,999 100-999 3-5
## 1396 <NA> <NA> < 1
## 1397 0-999 0 1-2
## 1398 1,000-1,999 100-999 < 1
## 1399 <NA> <NA> < 1
## 1400 <NA> <NA> 1-2
## 1401 100,000-124,999 > 100,000 5-10
## 1402 <NA> <NA> 1-2
## 1403 90,000-99,999 1000-9,999 3-5
## 1404 15,000-19,999 1000-9,999 3-5
## 1405 <NA> <NA> < 1
## 1406 20,000-24,999 1000-9,999 < 1
## 1407 15,000-19,999 0 < 1
## 1408 <NA> <NA> 1-2
## 1409 60,000-69,999 100-999 10-20
## 1410 150,000-199,999 0 5-10
## 1411 25,000-29,999 > 100,000 < 1
## 1412 <NA> <NA> < 1
## 1413 0-999 0 < 1
## 1414 30,000-39,999 > 100,000 3-5
## 1415 10,000-14,999 0 None
## 1416 10,000-14,999 0 5-10
## 1417 10,000-14,999 1000-9,999 3-5
## 1418 60,000-69,999 0 10-20
## 1419 70,000-79,999 0 5-10
## 1420 25,000-29,999 1000-9,999 5-10
## 1421 50,000-59,999 > 100,000 5-10
## 1422 0-999 > 100,000 10-20
## 1423 90,000-99,999 0 < 1
## 1424 70,000-79,999 0 10-20
## 1425 50,000-59,999 100-999 3-5
## 1426 <NA> <NA> < 1
## 1427 10,000-14,999 10,000-99,999 1-2
## 1428 20,000-24,999 100-999 1-2
## 1429 <NA> <NA> < 1
## 1430 150,000-199,999 100-999 10-20
## 1431 100,000-124,999 100-999 20+
## 1432 150,000-199,999 0 3-5
## 1433 100,000-124,999 10,000-99,999 5-10
## 1434 50,000-59,999 100-999 10-20
## 1435 <NA> <NA> None
## 1436 100,000-124,999 > 100,000 20+
## 1437 3,000-3,999 1000-9,999 < 1
## 1438 <NA> <NA> 1-2
## 1439 <NA> <NA> 1-2
## 1440 25,000-29,999 0 5-10
## 1441 <NA> <NA> 1-2
## 1442 100,000-124,999 0 3-5
## 1443 70,000-79,999 10,000-99,999 3-5
## 1444 10,000-14,999 0 1-2
## 1445 <NA> <NA> 1-2
## 1446 <NA> <NA> < 1
## 1447 15,000-19,999 0 1-2
## 1448 0-999 1-99 3-5
## 1449 30,000-39,999 100-999 3-5
## 1450 3,000-3,999 100-999 1-2
## 1451 <NA> <NA> 1-2
## 1452 90,000-99,999 0 5-10
## 1453 150,000-199,999 > 100,000 5-10
## 1454 100,000-124,999 > 100,000 10-20
## 1455 4,000-4,999 0 < 1
## 1456 <NA> <NA> < 1
## 1457 <NA> <NA> 1-2
## 1458 300,000-500,000 10,000-99,999 5-10
## 1459 90,000-99,999 1000-9,999 < 1
## 1460 5,000-7,499 0 None
## 1461 60,000-69,999 1000-9,999 < 1
## 1462 150,000-199,999 > 100,000 5-10
## 1463 <NA> <NA> < 1
## 1464 50,000-59,999 0 5-10
## 1465 150,000-199,999 10,000-99,999 10-20
## 1466 3,000-3,999 0 1-2
## 1467 <NA> <NA> 1-2
## 1468 125,000-149,999 0 None
## 1469 30,000-39,999 1000-9,999 1-2
## 1470 80,000-89,999 10,000-99,999 5-10
## 1471 150,000-199,999 > 100,000 20+
## 1472 70,000-79,999 1000-9,999 10-20
## 1473 0-999 1-99 5-10
## 1474 40,000-49,999 10,000-99,999 3-5
## 1475 10,000-14,999 1000-9,999 3-5
## 1476 90,000-99,999 0 5-10
## 1477 <NA> <NA> < 1
## 1478 20,000-24,999 1000-9,999 1-2
## 1479 100,000-124,999 0 3-5
## 1480 150,000-199,999 0 20+
## 1481 40,000-49,999 0 None
## 1482 80,000-89,999 > 100,000 20+
## 1483 90,000-99,999 10,000-99,999 5-10
## 1484 <NA> <NA> 1-2
## 1485 200,000-249,999 > 100,000 10-20
## 1486 0-999 100-999 1-2
## 1487 10,000-14,999 1-99 1-2
## 1488 <NA> <NA> < 1
## 1489 3,000-3,999 0 None
## 1490 30,000-39,999 1000-9,999 5-10
## 1491 <NA> <NA> < 1
## 1492 100,000-124,999 100-999 5-10
## 1493 50,000-59,999 > 100,000 3-5
## 1494 10,000-14,999 0 1-2
## 1495 300,000-500,000 > 100,000 20+
## 1496 <NA> <NA> 3-5
## 1497 <NA> <NA> < 1
## 1498 <NA> <NA> 1-2
## 1499 30,000-39,999 1000-9,999 3-5
## 1500 <NA> <NA> 1-2
## 1501 <NA> <NA> 1-2
## 1502 250,000-299,999 100-999 20+
## 1503 60,000-69,999 0 3-5
## 1504 4,000-4,999 0 < 1
## 1505 <NA> <NA> < 1
## 1506 50,000-59,999 100-999 1-2
## 1507 60,000-69,999 1000-9,999 3-5
## 1508 90,000-99,999 10,000-99,999 10-20
## 1509 60,000-69,999 1000-9,999 5-10
## 1510 40,000-49,999 100-999 3-5
## 1511 4,000-4,999 0 3-5
## 1512 <NA> <NA> 3-5
## 1513 0-999 1000-9,999 5-10
## 1514 100,000-124,999 0 1-2
## 1515 0-999 > 100,000 3-5
## 1516 0-999 0 3-5
## 1517 40,000-49,999 1-99 1-2
## 1518 15,000-19,999 100-999 3-5
## 1519 90,000-99,999 100-999 3-5
## 1520 80,000-89,999 0 < 1
## 1521 0-999 1000-9,999 None
## 1522 150,000-199,999 10,000-99,999 20+
## 1523 90,000-99,999 0 10-20
## 1524 3,000-3,999 0 1-2
## 1525 80,000-89,999 0 5-10
## 1526 50,000-59,999 0 3-5
## 1527 125,000-149,999 1000-9,999 3-5
## 1528 70,000-79,999 > 100,000 3-5
## 1529 <NA> <NA> < 1
## 1530 2,000-2,999 1000-9,999 < 1
## 1531 1,000-1,999 100-999 5-10
## 1532 60,000-69,999 100-999 < 1
## 1533 15,000-19,999 1000-9,999 20+
## 1534 30,000-39,999 10,000-99,999 1-2
## 1535 100,000-124,999 10,000-99,999 10-20
## 1536 70,000-79,999 1000-9,999 3-5
## 1537 10,000-14,999 0 3-5
## 1538 <NA> <NA> 5-10
## 1539 1,000-1,999 100-999 < 1
## 1540 10,000-14,999 100-999 3-5
## 1541 20,000-24,999 1000-9,999 10-20
## 1542 150,000-199,999 > 100,000 < 1
## 1543 20,000-24,999 1000-9,999 3-5
## 1544 50,000-59,999 1000-9,999 1-2
## 1545 70,000-79,999 1000-9,999 5-10
## 1546 <NA> <NA> None
## 1547 15,000-19,999 1000-9,999 20+
## 1548 200,000-249,999 > 100,000 5-10
## 1549 <NA> <NA> 1-2
## 1550 2,000-2,999 0 < 1
## 1551 125,000-149,999 10,000-99,999 5-10
## 1552 <NA> <NA> < 1
## 1553 <NA> <NA> 1-2
## 1554 <NA> <NA> < 1
## 1555 40,000-49,999 1000-9,999 20+
## 1556 200,000-249,999 > 100,000 5-10
## 1557 90,000-99,999 0 None
## 1558 60,000-69,999 1000-9,999 5-10
## 1559 > 500,000 0 10-20
## 1560 150,000-199,999 0 5-10
## 1561 20,000-24,999 10,000-99,999 3-5
## 1562 25,000-29,999 1-99 1-2
## 1563 60,000-69,999 > 100,000 1-2
## 1564 60,000-69,999 10,000-99,999 3-5
## 1565 60,000-69,999 100-999 1-2
## 1566 <NA> <NA> None
## 1567 0-999 1-99 5-10
## 1568 <NA> <NA> 1-2
## 1569 15,000-19,999 100-999 < 1
## 1570 20,000-24,999 1-99 < 1
## 1571 0-999 1-99 3-5
## 1572 1,000-1,999 1-99 3-5
## 1573 20,000-24,999 100-999 10-20
## 1574 4,000-4,999 100-999 < 1
## 1575 0-999 0 None
## 1576 15,000-19,999 0 1-2
## 1577 0-999 100-999 1-2
## 1578 <NA> <NA> < 1
## 1579 25,000-29,999 1-99 3-5
## 1580 <NA> <NA> None
## 1581 40,000-49,999 0 3-5
## 1582 125,000-149,999 > 100,000 20+
## 1583 30,000-39,999 100-999 1-2
## 1584 150,000-199,999 10,000-99,999 10-20
## 1585 60,000-69,999 0 3-5
## 1586 30,000-39,999 100-999 1-2
## 1587 1,000-1,999 1000-9,999 < 1
## 1588 <NA> <NA> 1-2
## 1589 80,000-89,999 1000-9,999 < 1
## 1590 100,000-124,999 1000-9,999 1-2
## 1591 <NA> <NA> 3-5
## 1592 10,000-14,999 0 20+
## 1593 125,000-149,999 10,000-99,999 10-20
## 1594 <NA> <NA> < 1
## 1595 0-999 1000-9,999 5-10
## 1596 30,000-39,999 1000-9,999 5-10
## 1597 90,000-99,999 10,000-99,999 10-20
## 1598 <NA> <NA> < 1
## 1599 15,000-19,999 1000-9,999 3-5
## 1600 <NA> <NA> 5-10
## 1601 30,000-39,999 0 1-2
## 1602 90,000-99,999 > 100,000 1-2
## 1603 3,000-3,999 0 5-10
## 1604 <NA> <NA> < 1
## 1605 <NA> <NA> 10-20
## 1606 <NA> <NA> < 1
## 1607 20,000-24,999 1000-9,999 < 1
## 1608 70,000-79,999 > 100,000 1-2
## 1609 125,000-149,999 > 100,000 5-10
## 1610 <NA> <NA> < 1
## 1611 50,000-59,999 0 3-5
## 1612 <NA> <NA> < 1
## 1613 0-999 0 20+
## 1614 150,000-199,999 10,000-99,999 20+
## 1615 150,000-199,999 > 100,000 3-5
## 1616 150,000-199,999 10,000-99,999 5-10
## 1617 <NA> <NA> < 1
## 1618 20,000-24,999 10,000-99,999 5-10
## 1619 125,000-149,999 > 100,000 3-5
## 1620 2,000-2,999 1000-9,999 3-5
## 1621 60,000-69,999 0 5-10
## 1622 100,000-124,999 1000-9,999 20+
## 1623 4,000-4,999 100-999 < 1
## 1624 40,000-49,999 1000-9,999 1-2
## 1625 0-999 > 100,000 3-5
## 1626 70,000-79,999 0 20+
## 1627 25,000-29,999 > 100,000 < 1
## 1628 50,000-59,999 > 100,000 10-20
## 1629 150,000-199,999 0 10-20
## 1630 25,000-29,999 10,000-99,999 1-2
## 1631 40,000-49,999 0 10-20
## 1632 5,000-7,499 100-999 < 1
## 1633 30,000-39,999 1000-9,999 5-10
## 1634 200,000-249,999 10,000-99,999 20+
## 1635 <NA> <NA> < 1
## 1636 100,000-124,999 > 100,000 3-5
## 1637 2,000-2,999 0 5-10
## 1638 0-999 100-999 1-2
## 1639 1,000-1,999 0 3-5
## 1640 150,000-199,999 > 100,000 10-20
## 1641 <NA> <NA> < 1
## 1642 3,000-3,999 0 1-2
## 1643 80,000-89,999 0 3-5
## 1644 70,000-79,999 100-999 < 1
## 1645 100,000-124,999 0 None
## 1646 100,000-124,999 0 5-10
## 1647 <NA> <NA> < 1
## 1648 0-999 1-99 < 1
## 1649 10,000-14,999 100-999 < 1
## 1650 <NA> <NA> 1-2
## 1651 <NA> <NA> < 1
## 1652 60,000-69,999 100-999 5-10
## 1653 20,000-24,999 0 < 1
## 1654 <NA> <NA> 3-5
## 1655 100,000-124,999 10,000-99,999 3-5
## 1656 1,000-1,999 1000-9,999 1-2
## 1657 40,000-49,999 1-99 1-2
## 1658 125,000-149,999 10,000-99,999 10-20
## 1659 80,000-89,999 10,000-99,999 3-5
## 1660 70,000-79,999 0 < 1
## 1661 60,000-69,999 0 10-20
## 1662 <NA> <NA> 1-2
## 1663 30,000-39,999 0 5-10
## 1664 100,000-124,999 0 10-20
## 1665 70,000-79,999 1000-9,999 < 1
## 1666 125,000-149,999 1000-9,999 3-5
## 1667 0-999 1-99 < 1
## 1668 125,000-149,999 100-999 3-5
## 1669 100,000-124,999 > 100,000 5-10
## 1670 50,000-59,999 10,000-99,999 1-2
## 1671 30,000-39,999 100-999 1-2
## 1672 <NA> <NA> < 1
## 1673 10,000-14,999 > 100,000 None
## 1674 25,000-29,999 0 < 1
## 1675 60,000-69,999 0 20+
## 1676 <NA> <NA> 5-10
## 1677 200,000-249,999 > 100,000 10-20
## 1678 40,000-49,999 0 1-2
## 1679 5,000-7,499 0 < 1
## 1680 150,000-199,999 0 3-5
## 1681 125,000-149,999 10,000-99,999 20+
## 1682 90,000-99,999 10,000-99,999 20+
## 1683 125,000-149,999 0 1-2
## 1684 <NA> <NA> 1-2
## 1685 70,000-79,999 1-99 5-10
## 1686 <NA> <NA> < 1
## 1687 <NA> <NA> 5-10
## 1688 7,500-9,999 100-999 3-5
## 1689 50,000-59,999 0 3-5
## 1690 30,000-39,999 0 < 1
## 1691 50,000-59,999 1-99 3-5
## 1692 40,000-49,999 0 3-5
## 1693 <NA> <NA> < 1
## 1694 <NA> <NA> None
## 1695 150,000-199,999 1000-9,999 10-20
## 1696 1,000-1,999 1-99 3-5
## 1697 50,000-59,999 1000-9,999 1-2
## 1698 90,000-99,999 1-99 10-20
## 1699 50,000-59,999 > 100,000 10-20
## 1700 20,000-24,999 0 None
## 1701 0-999 1-99 20+
## 1702 <NA> <NA> 1-2
## 1703 150,000-199,999 10,000-99,999 5-10
## 1704 150,000-199,999 0 5-10
## 1705 200,000-249,999 0 None
## 1706 3,000-3,999 1000-9,999 3-5
## 1707 1,000-1,999 100-999 1-2
## 1708 125,000-149,999 0 3-5
## 1709 150,000-199,999 10,000-99,999 3-5
## 1710 <NA> <NA> < 1
## 1711 <NA> <NA> 1-2
## 1712 0-999 1-99 < 1
## 1713 125,000-149,999 > 100,000 10-20
## 1714 50,000-59,999 100-999 5-10
## 1715 70,000-79,999 100-999 10-20
## 1716 50,000-59,999 10,000-99,999 5-10
## 1717 70,000-79,999 0 < 1
## 1718 25,000-29,999 0 3-5
## 1719 <NA> <NA> 3-5
## 1720 10,000-14,999 1000-9,999 3-5
## 1721 25,000-29,999 100-999 3-5
## 1722 0-999 1-99 < 1
## 1723 30,000-39,999 0 1-2
## 1724 20,000-24,999 0 < 1
## 1725 <NA> <NA> 1-2
## 1726 40,000-49,999 1-99 5-10
## 1727 0-999 0 5-10
## 1728 90,000-99,999 100-999 3-5
## 1729 <NA> <NA> 1-2
## 1730 5,000-7,499 0 5-10
## 1731 25,000-29,999 0 None
## 1732 100,000-124,999 1000-9,999 20+
## 1733 150,000-199,999 > 100,000 20+
## 1734 50,000-59,999 100-999 3-5
## 1735 0-999 0 < 1
## 1736 30,000-39,999 100-999 1-2
## 1737 3,000-3,999 1-99 < 1
## 1738 70,000-79,999 0 3-5
## 1739 50,000-59,999 100-999 3-5
## 1740 2,000-2,999 10,000-99,999 20+
## 1741 <NA> <NA> < 1
## 1742 <NA> <NA> 3-5
## 1743 <NA> <NA> 1-2
## 1744 60,000-69,999 10,000-99,999 5-10
## 1745 100,000-124,999 > 100,000 10-20
## 1746 40,000-49,999 1-99 10-20
## 1747 <NA> <NA> 3-5
## 1748 90,000-99,999 100-999 < 1
## 1749 70,000-79,999 0 1-2
## 1750 40,000-49,999 0 3-5
## 1751 <NA> <NA> < 1
## 1752 100,000-124,999 1-99 5-10
## 1753 4,000-4,999 1000-9,999 1-2
## 1754 40,000-49,999 100-999 5-10
## 1755 <NA> <NA> < 1
## 1756 <NA> <NA> < 1
## 1757 60,000-69,999 1-99 20+
## 1758 20,000-24,999 0 < 1
## 1759 5,000-7,499 100-999 3-5
## 1760 100,000-124,999 100-999 10-20
## 1761 40,000-49,999 100-999 3-5
## 1762 40,000-49,999 0 3-5
## 1763 1,000-1,999 0 1-2
## 1764 4,000-4,999 0 None
## 1765 150,000-199,999 10,000-99,999 3-5
## 1766 50,000-59,999 100-999 1-2
## 1767 <NA> <NA> < 1
## 1768 200,000-249,999 0 10-20
## 1769 50,000-59,999 > 100,000 5-10
## 1770 1,000-1,999 100-999 1-2
## 1771 50,000-59,999 0 1-2
## 1772 <NA> <NA> < 1
## 1773 <NA> <NA> < 1
## 1774 <NA> <NA> 1-2
## 1775 40,000-49,999 0 1-2
## 1776 2,000-2,999 1-99 < 1
## 1777 80,000-89,999 1000-9,999 None
## 1778 90,000-99,999 1000-9,999 5-10
## 1779 10,000-14,999 0 1-2
## 1780 60,000-69,999 0 3-5
## 1781 <NA> <NA> 1-2
## 1782 60,000-69,999 1000-9,999 5-10
## 1783 <NA> <NA> 5-10
## 1784 40,000-49,999 1-99 < 1
## 1785 125,000-149,999 > 100,000 10-20
## 1786 5,000-7,499 0 5-10
## 1787 4,000-4,999 1000-9,999 1-2
## 1788 25,000-29,999 0 5-10
## 1789 0-999 0 < 1
## 1790 40,000-49,999 0 5-10
## 1791 70,000-79,999 0 5-10
## 1792 0-999 0 < 1
## 1793 30,000-39,999 0 3-5
## 1794 80,000-89,999 0 < 1
## 1795 125,000-149,999 100-999 None
## 1796 90,000-99,999 > 100,000 3-5
## 1797 0-999 0 10-20
## 1798 30,000-39,999 0 < 1
## 1799 200,000-249,999 100-999 < 1
## 1800 <NA> <NA> < 1
## 1801 10,000-14,999 1000-9,999 5-10
## 1802 <NA> <NA> 1-2
## 1803 60,000-69,999 0 3-5
## 1804 <NA> <NA> < 1
## 1805 60,000-69,999 10,000-99,999 5-10
## 1806 100,000-124,999 > 100,000 5-10
## 1807 2,000-2,999 1000-9,999 None
## 1808 <NA> <NA> 1-2
## 1809 0-999 1-99 1-2
## 1810 <NA> <NA> 5-10
## 1811 25,000-29,999 0 5-10
## 1812 <NA> <NA> 1-2
## 1813 0-999 1-99 5-10
## 1814 70,000-79,999 1000-9,999 None
## 1815 <NA> <NA> 20+
## 1816 <NA> <NA> < 1
## 1817 60,000-69,999 10,000-99,999 5-10
## 1818 100,000-124,999 0 20+
## 1819 70,000-79,999 1-99 10-20
## 1820 250,000-299,999 10,000-99,999 10-20
## 1821 <NA> <NA> 3-5
## 1822 0-999 0 < 1
## 1823 70,000-79,999 0 None
## 1824 60,000-69,999 1000-9,999 5-10
## 1825 90,000-99,999 0 3-5
## 1826 100,000-124,999 100-999 20+
## 1827 0-999 0 < 1
## 1828 <NA> <NA> 5-10
## 1829 5,000-7,499 0 < 1
## 1830 100,000-124,999 0 5-10
## 1831 125,000-149,999 > 100,000 20+
## 1832 150,000-199,999 > 100,000 20+
## 1833 0-999 0 1-2
## 1834 60,000-69,999 > 100,000 3-5
## 1835 <NA> <NA> 3-5
## 1836 <NA> <NA> 1-2
## 1837 <NA> <NA> None
## 1838 1,000-1,999 0 3-5
## 1839 10,000-14,999 10,000-99,999 < 1
## 1840 7,500-9,999 0 5-10
## 1841 <NA> <NA> 3-5
## 1842 50,000-59,999 100-999 5-10
## 1843 125,000-149,999 0 1-2
## 1844 <NA> <NA> 1-2
## 1845 300,000-500,000 10,000-99,999 10-20
## 1846 <NA> <NA> < 1
## 1847 300,000-500,000 10,000-99,999 3-5
## 1848 40,000-49,999 100-999 1-2
## 1849 <NA> <NA> 5-10
## 1850 40,000-49,999 1-99 1-2
## 1851 0-999 0 1-2
## 1852 90,000-99,999 10,000-99,999 3-5
## 1853 90,000-99,999 0 5-10
## 1854 200,000-249,999 100-999 5-10
## 1855 300,000-500,000 0 20+
## 1856 50,000-59,999 10,000-99,999 < 1
## 1857 250,000-299,999 > 100,000 20+
## 1858 90,000-99,999 0 20+
## 1859 40,000-49,999 0 3-5
## 1860 0-999 0 < 1
## 1861 100,000-124,999 100-999 10-20
## 1862 <NA> <NA> < 1
## 1863 <NA> <NA> < 1
## 1864 10,000-14,999 1000-9,999 < 1
## 1865 80,000-89,999 1000-9,999 3-5
## 1866 60,000-69,999 0 20+
## 1867 3,000-3,999 100-999 10-20
## 1868 125,000-149,999 1000-9,999 5-10
## 1869 2,000-2,999 100-999 3-5
## 1870 > 500,000 100-999 1-2
## 1871 60,000-69,999 0 3-5
## 1872 <NA> <NA> 1-2
## 1873 <NA> <NA> < 1
## 1874 <NA> <NA> 1-2
## 1875 90,000-99,999 > 100,000 20+
## 1876 100,000-124,999 1000-9,999 20+
## 1877 7,500-9,999 0 < 1
## 1878 100,000-124,999 100-999 20+
## 1879 300,000-500,000 > 100,000 5-10
## 1880 0-999 0 None
## 1881 0-999 100-999 1-2
## 1882 125,000-149,999 10,000-99,999 10-20
## 1883 10,000-14,999 0 1-2
## 1884 <NA> <NA> < 1
## 1885 150,000-199,999 10,000-99,999 5-10
## 1886 70,000-79,999 1000-9,999 5-10
## 1887 7,500-9,999 100-999 < 1
## 1888 40,000-49,999 > 100,000 3-5
## 1889 <NA> <NA> < 1
## 1890 <NA> <NA> < 1
## 1891 300,000-500,000 > 100,000 20+
## 1892 150,000-199,999 10,000-99,999 10-20
## 1893 25,000-29,999 10,000-99,999 3-5
## 1894 15,000-19,999 1000-9,999 3-5
## 1895 <NA> <NA> 3-5
## 1896 100,000-124,999 > 100,000 3-5
## 1897 <NA> <NA> 3-5
## 1898 150,000-199,999 10,000-99,999 5-10
## 1899 60,000-69,999 100-999 10-20
## 1900 <NA> <NA> 1-2
## 1901 80,000-89,999 1000-9,999 5-10
## 1902 20,000-24,999 0 < 1
## 1903 70,000-79,999 > 100,000 3-5
## 1904 125,000-149,999 10,000-99,999 10-20
## 1905 10,000-14,999 100-999 < 1
## 1906 50,000-59,999 > 100,000 20+
## 1907 300,000-500,000 0 3-5
## 1908 100,000-124,999 > 100,000 5-10
## 1909 10,000-14,999 0 < 1
## 1910 90,000-99,999 1000-9,999 10-20
## 1911 <NA> <NA> 1-2
## 1912 10,000-14,999 0 1-2
## 1913 20,000-24,999 0 1-2
## 1914 250,000-299,999 10,000-99,999 3-5
## 1915 15,000-19,999 10,000-99,999 10-20
## 1916 150,000-199,999 10,000-99,999 1-2
## 1917 250,000-299,999 10,000-99,999 10-20
## 1918 50,000-59,999 100-999 1-2
## 1919 <NA> <NA> < 1
## 1920 150,000-199,999 0 3-5
## 1921 0-999 1-99 1-2
## 1922 0-999 0 < 1
## 1923 80,000-89,999 0 3-5
## 1924 1,000-1,999 100-999 1-2
## 1925 10,000-14,999 100-999 10-20
## 1926 <NA> <NA> 1-2
## 1927 125,000-149,999 10,000-99,999 5-10
## 1928 <NA> <NA> 3-5
## 1929 60,000-69,999 > 100,000 3-5
## 1930 <NA> <NA> < 1
## 1931 30,000-39,999 1-99 3-5
## 1932 <NA> <NA> 3-5
## 1933 80,000-89,999 > 100,000 3-5
## 1934 25,000-29,999 > 100,000 3-5
## 1935 50,000-59,999 100-999 5-10
## 1936 30,000-39,999 1000-9,999 1-2
## 1937 100,000-124,999 0 3-5
## 1938 50,000-59,999 1-99 < 1
## 1939 30,000-39,999 0 5-10
## 1940 40,000-49,999 100-999 5-10
## 1941 10,000-14,999 100-999 1-2
## 1942 100,000-124,999 10,000-99,999 10-20
## 1943 <NA> <NA> < 1
## 1944 30,000-39,999 10,000-99,999 5-10
## 1945 <NA> <NA> < 1
## 1946 0-999 10,000-99,999 5-10
## 1947 150,000-199,999 0 3-5
## 1948 25,000-29,999 100-999 3-5
## 1949 0-999 1000-9,999 < 1
## 1950 5,000-7,499 0 5-10
## 1951 20,000-24,999 0 5-10
## 1952 125,000-149,999 > 100,000 5-10
## 1953 2,000-2,999 0 5-10
## 1954 25,000-29,999 > 100,000 < 1
## 1955 150,000-199,999 > 100,000 20+
## 1956 100,000-124,999 1000-9,999 3-5
## 1957 0-999 1-99 1-2
## 1958 30,000-39,999 1000-9,999 1-2
## 1959 15,000-19,999 100-999 1-2
## 1960 <NA> <NA> 5-10
## 1961 20,000-24,999 0 1-2
## 1962 150,000-199,999 100-999 1-2
## 1963 80,000-89,999 10,000-99,999 20+
## 1964 2,000-2,999 1000-9,999 5-10
## 1965 0-999 1000-9,999 1-2
## 1966 80,000-89,999 1-99 5-10
## 1967 <NA> <NA> 5-10
## 1968 60,000-69,999 0 1-2
## 1969 <NA> <NA> None
## 1970 250,000-299,999 0 5-10
## 1971 10,000-14,999 0 < 1
## 1972 0-999 0 < 1
## 1973 <NA> <NA> 3-5
## 1974 100,000-124,999 0 < 1
## 1975 0-999 0 1-2
## 1976 100,000-124,999 > 100,000 10-20
## 1977 100,000-124,999 10,000-99,999 10-20
## 1978 <NA> <NA> 1-2
## 1979 <NA> <NA> None
## 1980 <NA> <NA> 3-5
## 1981 100,000-124,999 100-999 1-2
## 1982 <NA> <NA> 1-2
## 1983 <NA> <NA> 1-2
## 1984 5,000-7,499 1000-9,999 1-2
## 1985 125,000-149,999 0 < 1
## 1986 2,000-2,999 0 3-5
## 1987 125,000-149,999 > 100,000 3-5
## 1988 90,000-99,999 0 < 1
## 1989 80,000-89,999 10,000-99,999 3-5
## 1990 150,000-199,999 0 10-20
## 1991 <NA> <NA> < 1
## 1992 7,500-9,999 0 < 1
## 1993 125,000-149,999 0 < 1
## 1994 5,000-7,499 1000-9,999 < 1
## 1995 1,000-1,999 1-99 1-2
## 1996 <NA> <NA> 1-2
## 1997 50,000-59,999 100-999 3-5
## 1998 100,000-124,999 1000-9,999 5-10
## 1999 40,000-49,999 > 100,000 3-5
## 2000 5,000-7,499 0 1-2
## 2001 40,000-49,999 100-999 5-10
## 2002 40,000-49,999 1000-9,999 1-2
## 2003 100,000-124,999 0 5-10
## 2004 80,000-89,999 0 1-2
## 2005 70,000-79,999 100-999 3-5
## 2006 7,500-9,999 100-999 1-2
## 2007 70,000-79,999 > 100,000 1-2
## 2008 10,000-14,999 100-999 < 1
## 2009 <NA> <NA> 1-2
## 2010 30,000-39,999 1-99 < 1
## 2011 <NA> <NA> < 1
## 2012 <NA> <NA> < 1
## 2013 125,000-149,999 100-999 20+
## 2014 <NA> <NA> 1-2
## 2015 1,000-1,999 10,000-99,999 3-5
## 2016 50,000-59,999 10,000-99,999 1-2
## 2017 15,000-19,999 0 20+
## 2018 100,000-124,999 10,000-99,999 20+
## 2019 100,000-124,999 0 < 1
## 2020 0-999 0 5-10
## 2021 3,000-3,999 100-999 1-2
## 2022 100,000-124,999 100-999 3-5
## 2023 <NA> <NA> None
## 2024 0-999 0 < 1
## 2025 7,500-9,999 1000-9,999 3-5
## 2026 70,000-79,999 0 3-5
## 2027 0-999 1-99 1-2
## 2028 7,500-9,999 0 1-2
## 2029 <NA> <NA> 3-5
## 2030 80,000-89,999 10,000-99,999 10-20
## 2031 250,000-299,999 10,000-99,999 5-10
## 2032 <NA> <NA> 1-2
## 2033 100,000-124,999 100-999 3-5
## 2034 <NA> <NA> < 1
## 2035 50,000-59,999 0 1-2
## 2036 0-999 0 < 1
## 2037 <NA> <NA> 3-5
## 2038 > 500,000 > 100,000 10-20
## 2039 100,000-124,999 > 100,000 3-5
## 2040 60,000-69,999 1000-9,999 10-20
## 2041 70,000-79,999 0 < 1
## 2042 <NA> <NA> 1-2
## 2043 0-999 0 5-10
## 2044 60,000-69,999 100-999 3-5
## 2045 5,000-7,499 1-99 < 1
## 2046 90,000-99,999 0 < 1
## 2047 90,000-99,999 100-999 3-5
## 2048 3,000-3,999 100-999 1-2
## 2049 <NA> <NA> < 1
## 2050 <NA> <NA> 1-2
## 2051 100,000-124,999 0 < 1
## 2052 <NA> <NA> 1-2
## 2053 60,000-69,999 1000-9,999 1-2
## 2054 90,000-99,999 0 3-5
## 2055 5,000-7,499 10,000-99,999 5-10
## 2056 10,000-14,999 1000-9,999 3-5
## 2057 300,000-500,000 10,000-99,999 20+
## 2058 1,000-1,999 1000-9,999 None
## 2059 7,500-9,999 0 < 1
## 2060 <NA> <NA> < 1
## 2061 <NA> <NA> 3-5
## 2062 7,500-9,999 0 None
## 2063 100,000-124,999 10,000-99,999 5-10
## 2064 <NA> <NA> < 1
## 2065 50,000-59,999 0 < 1
## 2066 125,000-149,999 10,000-99,999 3-5
## 2067 60,000-69,999 0 1-2
## 2068 90,000-99,999 0 1-2
## 2069 <NA> <NA> 3-5
## 2070 150,000-199,999 > 100,000 5-10
## 2071 150,000-199,999 > 100,000 5-10
## 2072 70,000-79,999 1-99 10-20
## 2073 80,000-89,999 100-999 5-10
## 2074 30,000-39,999 0 3-5
## 2075 100,000-124,999 0 5-10
## 2076 20,000-24,999 100-999 3-5
## 2077 50,000-59,999 0 5-10
## 2078 150,000-199,999 1000-9,999 10-20
## 2079 7,500-9,999 0 None
## 2080 125,000-149,999 100-999 3-5
## 2081 <NA> <NA> < 1
## 2082 20,000-24,999 100-999 3-5
## 2083 80,000-89,999 1000-9,999 3-5
## 2084 10,000-14,999 1-99 3-5
## 2085 40,000-49,999 10,000-99,999 1-2
## 2086 30,000-39,999 1-99 3-5
## 2087 25,000-29,999 0 < 1
## 2088 40,000-49,999 0 3-5
## 2089 20,000-24,999 100-999 < 1
## 2090 40,000-49,999 1000-9,999 10-20
## 2091 7,500-9,999 0 3-5
## 2092 5,000-7,499 0 < 1
## 2093 <NA> <NA> < 1
## 2094 10,000-14,999 1000-9,999 1-2
## 2095 <NA> <NA> < 1
## 2096 100,000-124,999 1000-9,999 10-20
## 2097 <NA> <NA> < 1
## 2098 125,000-149,999 100-999 1-2
## 2099 40,000-49,999 0 < 1
## 2100 70,000-79,999 1000-9,999 10-20
## 2101 > 500,000 100-999 5-10
## 2102 <NA> <NA> 1-2
## 2103 90,000-99,999 1000-9,999 3-5
## 2104 40,000-49,999 10,000-99,999 10-20
## 2105 70,000-79,999 > 100,000 3-5
## 2106 3,000-3,999 100-999 3-5
## 2107 50,000-59,999 0 < 1
## 2108 30,000-39,999 0 < 1
## 2109 0-999 1000-9,999 1-2
## 2110 90,000-99,999 > 100,000 10-20
## 2111 60,000-69,999 100-999 5-10
## 2112 <NA> <NA> 1-2
## 2113 10,000-14,999 0 1-2
## 2114 20,000-24,999 0 < 1
## 2115 1,000-1,999 100-999 1-2
## 2116 <NA> <NA> 1-2
## 2117 <NA> <NA> < 1
## 2118 <NA> <NA> < 1
## 2119 100,000-124,999 10,000-99,999 5-10
## 2120 20,000-24,999 10,000-99,999 3-5
## 2121 10,000-14,999 0 < 1
## 2122 <NA> <NA> < 1
## 2123 30,000-39,999 0 3-5
## 2124 125,000-149,999 1000-9,999 5-10
## 2125 <NA> <NA> 3-5
## 2126 30,000-39,999 0 20+
## 2127 25,000-29,999 100-999 3-5
## 2128 50,000-59,999 1000-9,999 3-5
## 2129 100,000-124,999 > 100,000 3-5
## 2130 <NA> <NA> 1-2
## 2131 <NA> <NA> < 1
## 2132 125,000-149,999 100-999 3-5
## 2133 50,000-59,999 100-999 3-5
## 2134 <NA> <NA> 1-2
## 2135 100,000-124,999 0 20+
## 2136 125,000-149,999 0 5-10
## 2137 100,000-124,999 > 100,000 3-5
## 2138 90,000-99,999 100-999 5-10
## 2139 <NA> <NA> 1-2
## 2140 70,000-79,999 1000-9,999 10-20
## 2141 15,000-19,999 1000-9,999 1-2
## 2142 <NA> <NA> 1-2
## 2143 200,000-249,999 10,000-99,999 10-20
## 2144 1,000-1,999 1-99 1-2
## 2145 <NA> <NA> 1-2
## 2146 1,000-1,999 100-999 1-2
## 2147 50,000-59,999 1-99 < 1
## 2148 3,000-3,999 10,000-99,999 < 1
## 2149 10,000-14,999 1-99 5-10
## 2150 <NA> <NA> 3-5
## 2151 3,000-3,999 1000-9,999 1-2
## 2152 125,000-149,999 10,000-99,999 5-10
## 2153 100,000-124,999 0 5-10
## 2154 <NA> <NA> 3-5
## 2155 150,000-199,999 > 100,000 5-10
## 2156 <NA> <NA> 1-2
## 2157 <NA> <NA> < 1
## 2158 70,000-79,999 100-999 1-2
## 2159 0-999 0 3-5
## 2160 10,000-14,999 1-99 < 1
## 2161 20,000-24,999 > 100,000 10-20
## 2162 125,000-149,999 10,000-99,999 5-10
## 2163 20,000-24,999 0 < 1
## 2164 125,000-149,999 100-999 3-5
## 2165 70,000-79,999 > 100,000 20+
## 2166 4,000-4,999 0 3-5
## 2167 7,500-9,999 10,000-99,999 5-10
## 2168 10,000-14,999 > 100,000 10-20
## 2169 70,000-79,999 0 5-10
## 2170 40,000-49,999 1000-9,999 3-5
## 2171 <NA> <NA> 5-10
## 2172 2,000-2,999 100-999 3-5
## 2173 <NA> <NA> 3-5
## 2174 <NA> <NA> 5-10
## 2175 0-999 0 1-2
## 2176 <NA> <NA> 1-2
## 2177 70,000-79,999 0 20+
## 2178 300,000-500,000 1000-9,999 5-10
## 2179 15,000-19,999 0 3-5
## 2180 80,000-89,999 10,000-99,999 3-5
## 2181 30,000-39,999 1000-9,999 1-2
## 2182 60,000-69,999 100-999 20+
## 2183 50,000-59,999 0 1-2
## 2184 <NA> <NA> 1-2
## 2185 30,000-39,999 100-999 3-5
## 2186 20,000-24,999 1000-9,999 3-5
## 2187 <NA> <NA> 1-2
## 2188 300,000-500,000 > 100,000 5-10
## 2189 250,000-299,999 10,000-99,999 5-10
## 2190 <NA> <NA> 1-2
## 2191 100,000-124,999 10,000-99,999 5-10
## 2192 30,000-39,999 1000-9,999 < 1
## 2193 <NA> <NA> None
## 2194 90,000-99,999 1000-9,999 3-5
## 2195 25,000-29,999 1000-9,999 3-5
## 2196 150,000-199,999 > 100,000 5-10
## 2197 5,000-7,499 0 None
## 2198 <NA> <NA> 1-2
## 2199 25,000-29,999 100-999 < 1
## 2200 40,000-49,999 100-999 1-2
## 2201 0-999 100-999 1-2
## 2202 125,000-149,999 0 10-20
## 2203 90,000-99,999 1-99 3-5
## 2204 70,000-79,999 0 1-2
## 2205 60,000-69,999 0 3-5
## 2206 90,000-99,999 1000-9,999 3-5
## 2207 70,000-79,999 1-99 3-5
## 2208 0-999 10,000-99,999 3-5
## 2209 200,000-249,999 > 100,000 3-5
## 2210 40,000-49,999 100-999 3-5
## 2211 5,000-7,499 1-99 1-2
## 2212 200,000-249,999 10,000-99,999 5-10
## 2213 80,000-89,999 100-999 3-5
## 2214 0-999 0 3-5
## 2215 <NA> <NA> None
## 2216 0-999 0 None
## 2217 150,000-199,999 1000-9,999 20+
## 2218 70,000-79,999 1000-9,999 3-5
## 2219 3,000-3,999 0 1-2
## 2220 10,000-14,999 0 3-5
## 2221 15,000-19,999 1-99 1-2
## 2222 125,000-149,999 10,000-99,999 5-10
## 2223 150,000-199,999 1000-9,999 3-5
## 2224 250,000-299,999 > 100,000 10-20
## 2225 15,000-19,999 1000-9,999 < 1
## 2226 5,000-7,499 0 1-2
## 2227 2,000-2,999 1-99 5-10
## 2228 30,000-39,999 100-999 < 1
## 2229 125,000-149,999 0 5-10
## 2230 200,000-249,999 10,000-99,999 5-10
## 2231 300,000-500,000 10,000-99,999 20+
## 2232 <NA> <NA> 1-2
## 2233 10,000-14,999 0 1-2
## 2234 <NA> <NA> 1-2
## 2235 <NA> <NA> < 1
## 2236 100,000-124,999 10,000-99,999 3-5
## 2237 100,000-124,999 1000-9,999 10-20
## 2238 2,000-2,999 1-99 1-2
## 2239 <NA> <NA> 1-2
## 2240 <NA> <NA> < 1
## 2241 5,000-7,499 0 < 1
## 2242 10,000-14,999 100-999 1-2
## 2243 125,000-149,999 > 100,000 5-10
## 2244 10,000-14,999 1000-9,999 5-10
## 2245 50,000-59,999 0 None
## 2246 100,000-124,999 1000-9,999 None
## 2247 125,000-149,999 1000-9,999 < 1
## 2248 <NA> <NA> 3-5
## 2249 30,000-39,999 1-99 1-2
## 2250 <NA> <NA> 3-5
## 2251 <NA> <NA> < 1
## 2252 100,000-124,999 0 1-2
## 2253 50,000-59,999 10,000-99,999 3-5
## 2254 1,000-1,999 0 3-5
## 2255 5,000-7,499 100-999 1-2
## 2256 50,000-59,999 > 100,000 1-2
## 2257 0-999 0 < 1
## 2258 50,000-59,999 0 < 1
## 2259 20,000-24,999 0 1-2
## 2260 <NA> <NA> 1-2
## 2261 50,000-59,999 1000-9,999 5-10
## 2262 5,000-7,499 0 1-2
## 2263 0-999 0 < 1
## 2264 <NA> <NA> 5-10
## 2265 30,000-39,999 1000-9,999 1-2
## 2266 <NA> <NA> < 1
## 2267 5,000-7,499 100-999 None
## 2268 <NA> <NA> < 1
## 2269 40,000-49,999 0 10-20
## 2270 150,000-199,999 > 100,000 3-5
## 2271 200,000-249,999 > 100,000 20+
## 2272 <NA> <NA> 1-2
## 2273 <NA> <NA> 1-2
## 2274 150,000-199,999 10,000-99,999 3-5
## 2275 2,000-2,999 0 3-5
## 2276 0-999 0 < 1
## 2277 100,000-124,999 10,000-99,999 3-5
## 2278 <NA> <NA> < 1
## 2279 10,000-14,999 0 1-2
## 2280 70,000-79,999 100-999 < 1
## 2281 200,000-249,999 > 100,000 1-2
## 2282 <NA> <NA> < 1
## 2283 70,000-79,999 0 < 1
## 2284 <NA> <NA> < 1
## 2285 2,000-2,999 1000-9,999 < 1
## 2286 0-999 0 3-5
## 2287 80,000-89,999 100-999 3-5
## 2288 80,000-89,999 0 < 1
## 2289 50,000-59,999 > 100,000 1-2
## 2290 4,000-4,999 1000-9,999 1-2
## 2291 4,000-4,999 0 None
## 2292 100,000-124,999 0 5-10
## 2293 5,000-7,499 100-999 1-2
## 2294 100,000-124,999 1-99 3-5
## 2295 10,000-14,999 1-99 1-2
## 2296 60,000-69,999 100-999 < 1
## 2297 <NA> <NA> 5-10
## 2298 40,000-49,999 1000-9,999 3-5
## 2299 7,500-9,999 100-999 3-5
## 2300 50,000-59,999 0 1-2
## 2301 7,500-9,999 0 None
## 2302 50,000-59,999 0 3-5
## 2303 1,000-1,999 10,000-99,999 3-5
## 2304 40,000-49,999 > 100,000 20+
## 2305 50,000-59,999 1000-9,999 < 1
## 2306 150,000-199,999 1-99 5-10
## 2307 4,000-4,999 1-99 3-5
## 2308 100,000-124,999 10,000-99,999 20+
## 2309 25,000-29,999 100-999 1-2
## 2310 <NA> <NA> 1-2
## 2311 60,000-69,999 0 < 1
## 2312 <NA> <NA> < 1
## 2313 7,500-9,999 10,000-99,999 3-5
## 2314 80,000-89,999 0 5-10
## 2315 150,000-199,999 0 5-10
## 2316 15,000-19,999 0 None
## 2317 0-999 100-999 1-2
## 2318 250,000-299,999 > 100,000 20+
## 2319 <NA> <NA> 1-2
## 2320 <NA> <NA> < 1
## 2321 30,000-39,999 > 100,000 1-2
## 2322 0-999 0 3-5
## 2323 60,000-69,999 100-999 1-2
## 2324 <NA> <NA> None
## 2325 50,000-59,999 1000-9,999 3-5
## 2326 100,000-124,999 100-999 20+
## 2327 200,000-249,999 10,000-99,999 3-5
## 2328 125,000-149,999 10,000-99,999 20+
## 2329 30,000-39,999 0 1-2
## 2330 <NA> <NA> < 1
## 2331 30,000-39,999 10,000-99,999 10-20
## 2332 0-999 0 3-5
## 2333 30,000-39,999 0 < 1
## 2334 0-999 0 1-2
## 2335 <NA> <NA> < 1
## 2336 <NA> <NA> 1-2
## 2337 40,000-49,999 1000-9,999 1-2
## 2338 3,000-3,999 0 1-2
## 2339 50,000-59,999 100-999 < 1
## 2340 80,000-89,999 100-999 3-5
## 2341 100,000-124,999 0 10-20
## 2342 1,000-1,999 100-999 3-5
## 2343 200,000-249,999 > 100,000 1-2
## 2344 <NA> <NA> < 1
## 2345 <NA> <NA> 1-2
## 2346 <NA> <NA> < 1
## 2347 <NA> <NA> 1-2
## 2348 <NA> <NA> None
## 2349 70,000-79,999 0 < 1
## 2350 <NA> <NA> 1-2
## 2351 200,000-249,999 > 100,000 20+
## 2352 15,000-19,999 0 < 1
## 2353 4,000-4,999 100-999 1-2
## 2354 20,000-24,999 0 1-2
## 2355 15,000-19,999 0 < 1
## 2356 10,000-14,999 10,000-99,999 None
## 2357 <NA> <NA> < 1
## 2358 15,000-19,999 1000-9,999 None
## 2359 0-999 > 100,000 10-20
## 2360 10,000-14,999 1-99 None
## 2361 2,000-2,999 100-999 3-5
## 2362 2,000-2,999 > 100,000 None
## 2363 125,000-149,999 1000-9,999 20+
## 2364 30,000-39,999 1000-9,999 < 1
## 2365 <NA> <NA> 3-5
## 2366 50,000-59,999 0 1-2
## 2367 4,000-4,999 100-999 1-2
## 2368 <NA> <NA> 1-2
## 2369 40,000-49,999 1000-9,999 10-20
## 2370 10,000-14,999 0 < 1
## 2371 125,000-149,999 100-999 5-10
## 2372 <NA> <NA> < 1
## 2373 7,500-9,999 0 1-2
## 2374 10,000-14,999 1000-9,999 3-5
## 2375 4,000-4,999 100-999 3-5
## 2376 70,000-79,999 1000-9,999 3-5
## 2377 70,000-79,999 100-999 3-5
## 2378 70,000-79,999 0 1-2
## 2379 100,000-124,999 10,000-99,999 3-5
## 2380 <NA> <NA> < 1
## 2381 2,000-2,999 0 1-2
## 2382 4,000-4,999 1-99 3-5
## 2383 150,000-199,999 > 100,000 10-20
## 2384 70,000-79,999 100-999 < 1
## 2385 150,000-199,999 1-99 5-10
## 2386 150,000-199,999 > 100,000 20+
## 2387 25,000-29,999 10,000-99,999 3-5
## 2388 <NA> <NA> 1-2
## 2389 30,000-39,999 1000-9,999 3-5
## 2390 <NA> <NA> < 1
## 2391 100,000-124,999 10,000-99,999 10-20
## 2392 60,000-69,999 100-999 1-2
## 2393 2,000-2,999 100-999 < 1
## 2394 5,000-7,499 1000-9,999 1-2
## 2395 60,000-69,999 100-999 1-2
## 2396 70,000-79,999 100-999 20+
## 2397 <NA> <NA> < 1
## 2398 100,000-124,999 1000-9,999 10-20
## 2399 <NA> <NA> None
## 2400 <NA> <NA> < 1
## 2401 200,000-249,999 10,000-99,999 1-2
## 2402 0-999 1-99 < 1
## 2403 <NA> <NA> < 1
## 2404 100,000-124,999 100-999 3-5
## 2405 <NA> <NA> 5-10
## 2406 100,000-124,999 10,000-99,999 3-5
## 2407 90,000-99,999 100-999 5-10
## 2408 4,000-4,999 > 100,000 < 1
## 2409 <NA> <NA> < 1
## 2410 90,000-99,999 100-999 10-20
## 2411 50,000-59,999 10,000-99,999 3-5
## 2412 125,000-149,999 10,000-99,999 5-10
## 2413 1,000-1,999 100-999 < 1
## 2414 5,000-7,499 0 1-2
## 2415 7,500-9,999 0 < 1
## 2416 15,000-19,999 0 10-20
## 2417 40,000-49,999 10,000-99,999 < 1
## 2418 40,000-49,999 0 5-10
## 2419 <NA> <NA> 3-5
## 2420 <NA> <NA> 1-2
## 2421 <NA> <NA> 1-2
## 2422 <NA> <NA> None
## 2423 15,000-19,999 100-999 1-2
## 2424 100,000-124,999 10,000-99,999 10-20
## 2425 100,000-124,999 0 5-10
## 2426 <NA> <NA> < 1
## 2427 70,000-79,999 100-999 3-5
## 2428 <NA> <NA> 1-2
## 2429 50,000-59,999 > 100,000 3-5
## 2430 125,000-149,999 100-999 20+
## 2431 40,000-49,999 100-999 < 1
## 2432 <NA> <NA> < 1
## 2433 2,000-2,999 100-999 5-10
## 2434 <NA> <NA> < 1
## 2435 60,000-69,999 1-99 3-5
## 2436 5,000-7,499 100-999 5-10
## 2437 5,000-7,499 0 1-2
## 2438 0-999 100-999 < 1
## 2439 5,000-7,499 100-999 1-2
## 2440 40,000-49,999 0 10-20
## 2441 <NA> <NA> < 1
## 2442 <NA> <NA> < 1
## 2443 70,000-79,999 0 3-5
## 2444 90,000-99,999 10,000-99,999 5-10
## 2445 150,000-199,999 1000-9,999 3-5
## 2446 10,000-14,999 0 < 1
## 2447 <NA> <NA> < 1
## 2448 70,000-79,999 > 100,000 3-5
## 2449 50,000-59,999 10,000-99,999 3-5
## 2450 300,000-500,000 > 100,000 10-20
## 2451 25,000-29,999 0 1-2
## 2452 > 500,000 0 5-10
## 2453 50,000-59,999 10,000-99,999 None
## 2454 15,000-19,999 100-999 1-2
## 2455 100,000-124,999 100-999 3-5
## 2456 150,000-199,999 1000-9,999 20+
## 2457 <NA> <NA> < 1
## 2458 1,000-1,999 1000-9,999 10-20
## 2459 80,000-89,999 100-999 1-2
## 2460 100,000-124,999 100-999 5-10
## 2461 2,000-2,999 100-999 < 1
## 2462 0-999 100-999 < 1
## 2463 0-999 1-99 < 1
## 2464 30,000-39,999 100-999 1-2
## 2465 5,000-7,499 0 None
## 2466 100,000-124,999 100-999 5-10
## 2467 <NA> <NA> 1-2
## 2468 100,000-124,999 100-999 5-10
## 2469 70,000-79,999 0 3-5
## 2470 <NA> <NA> < 1
## 2471 10,000-14,999 1000-9,999 3-5
## 2472 <NA> <NA> < 1
## 2473 70,000-79,999 0 < 1
## 2474 150,000-199,999 1000-9,999 5-10
## 2475 <NA> <NA> 1-2
## 2476 250,000-299,999 > 100,000 5-10
## 2477 80,000-89,999 1000-9,999 1-2
## 2478 <NA> <NA> 3-5
## 2479 90,000-99,999 100-999 1-2
## 2480 100,000-124,999 > 100,000 < 1
## 2481 5,000-7,499 100-999 5-10
## 2482 4,000-4,999 1-99 1-2
## 2483 <NA> <NA> 5-10
## 2484 <NA> <NA> 3-5
## 2485 <NA> <NA> < 1
## 2486 15,000-19,999 100-999 1-2
## 2487 1,000-1,999 1-99 < 1
## 2488 <NA> <NA> 10-20
## 2489 20,000-24,999 0 < 1
## 2490 0-999 100-999 3-5
## 2491 50,000-59,999 100-999 3-5
## 2492 1,000-1,999 10,000-99,999 3-5
## 2493 60,000-69,999 100-999 < 1
## 2494 125,000-149,999 > 100,000 5-10
## 2495 1,000-1,999 0 1-2
## 2496 150,000-199,999 0 20+
## 2497 <NA> <NA> < 1
## 2498 150,000-199,999 100-999 < 1
## 2499 0-999 100-999 3-5
## 2500 <NA> <NA> 1-2
## 2501 10,000-14,999 100-999 1-2
## 2502 5,000-7,499 0 < 1
## 2503 <NA> <NA> < 1
## 2504 10,000-14,999 0 None
## 2505 7,500-9,999 0 None
## 2506 <NA> <NA> None
## 2507 5,000-7,499 0 5-10
## 2508 15,000-19,999 100-999 < 1
## 2509 70,000-79,999 1000-9,999 3-5
## 2510 50,000-59,999 0 10-20
## 2511 <NA> <NA> < 1
## 2512 > 500,000 > 100,000 5-10
## 2513 0-999 0 None
## 2514 5,000-7,499 1000-9,999 3-5
## 2515 <NA> <NA> < 1
## 2516 <NA> <NA> 3-5
## 2517 1,000-1,999 1000-9,999 3-5
## 2518 0-999 0 None
## 2519 100,000-124,999 10,000-99,999 20+
## 2520 <NA> <NA> None
## 2521 1,000-1,999 1-99 3-5
## 2522 30,000-39,999 1000-9,999 3-5
## 2523 10,000-14,999 0 < 1
## 2524 0-999 0 < 1
## 2525 40,000-49,999 0 5-10
## 2526 150,000-199,999 10,000-99,999 20+
## 2527 60,000-69,999 0 1-2
## 2528 4,000-4,999 0 5-10
## 2529 25,000-29,999 1-99 None
## 2530 300,000-500,000 0 3-5
## 2531 70,000-79,999 100-999 10-20
## 2532 30,000-39,999 1000-9,999 5-10
## 2533 100,000-124,999 1-99 20+
## 2534 40,000-49,999 10,000-99,999 3-5
## 2535 0-999 0 < 1
## 2536 60,000-69,999 0 10-20
## 2537 15,000-19,999 10,000-99,999 5-10
## 2538 <NA> <NA> 3-5
## 2539 <NA> <NA> < 1
## 2540 <NA> <NA> 1-2
## 2541 125,000-149,999 1000-9,999 5-10
## 2542 <NA> <NA> < 1
## 2543 <NA> <NA> 1-2
## 2544 20,000-24,999 1000-9,999 1-2
## 2545 70,000-79,999 > 100,000 5-10
## 2546 90,000-99,999 10,000-99,999 20+
## 2547 1,000-1,999 0 None
## 2548 3,000-3,999 1-99 3-5
## 2549 <NA> <NA> 1-2
## 2550 25,000-29,999 1000-9,999 10-20
## 2551 0-999 1-99 None
## 2552 1,000-1,999 10,000-99,999 3-5
## 2553 100,000-124,999 1-99 1-2
## 2554 5,000-7,499 1000-9,999 1-2
## 2555 60,000-69,999 0 < 1
## 2556 125,000-149,999 > 100,000 5-10
## 2557 100,000-124,999 10,000-99,999 3-5
## 2558 100,000-124,999 100-999 3-5
## 2559 70,000-79,999 1000-9,999 5-10
## 2560 20,000-24,999 1000-9,999 3-5
## 2561 4,000-4,999 1000-9,999 < 1
## 2562 <NA> <NA> < 1
## 2563 70,000-79,999 0 < 1
## 2564 50,000-59,999 1000-9,999 3-5
## 2565 <NA> <NA> 1-2
## 2566 40,000-49,999 1-99 3-5
## 2567 10,000-14,999 100-999 1-2
## 2568 7,500-9,999 1-99 < 1
## 2569 1,000-1,999 1-99 5-10
## 2570 125,000-149,999 > 100,000 5-10
## 2571 40,000-49,999 0 3-5
## 2572 25,000-29,999 1-99 3-5
## 2573 4,000-4,999 0 1-2
## 2574 0-999 0 < 1
## 2575 25,000-29,999 100-999 3-5
## 2576 25,000-29,999 10,000-99,999 5-10
## 2577 100,000-124,999 1000-9,999 5-10
## 2578 80,000-89,999 100-999 5-10
## 2579 90,000-99,999 0 5-10
## 2580 <NA> <NA> 5-10
## 2581 30,000-39,999 0 3-5
## 2582 200,000-249,999 10,000-99,999 20+
## 2583 4,000-4,999 1000-9,999 3-5
## 2584 0-999 100-999 < 1
## 2585 40,000-49,999 0 3-5
## 2586 2,000-2,999 1-99 5-10
## 2587 2,000-2,999 10,000-99,999 3-5
## 2588 60,000-69,999 100-999 1-2
## 2589 5,000-7,499 0 None
## 2590 4,000-4,999 1000-9,999 3-5
## 2591 20,000-24,999 > 100,000 3-5
## 2592 25,000-29,999 10,000-99,999 10-20
## 2593 <NA> <NA> 1-2
## 2594 <NA> <NA> 1-2
## 2595 25,000-29,999 1000-9,999 < 1
## 2596 15,000-19,999 100-999 3-5
## 2597 <NA> <NA> 1-2
## 2598 <NA> <NA> < 1
## 2599 60,000-69,999 10,000-99,999 5-10
## 2600 25,000-29,999 100-999 5-10
## 2601 0-999 0 1-2
## 2602 100,000-124,999 0 None
## 2603 <NA> <NA> < 1
## 2604 80,000-89,999 100-999 5-10
## 2605 90,000-99,999 > 100,000 10-20
## 2606 200,000-249,999 1000-9,999 10-20
## 2607 15,000-19,999 100-999 5-10
## 2608 <NA> <NA> 1-2
## 2609 <NA> <NA> 1-2
## 2610 <NA> <NA> < 1
## 2611 <NA> <NA> < 1
## 2612 0-999 0 None
## 2613 <NA> <NA> 1-2
## 2614 <NA> <NA> < 1
## 2615 5,000-7,499 1000-9,999 1-2
## 2616 250,000-299,999 10,000-99,999 5-10
## 2617 200,000-249,999 100-999 10-20
## 2618 70,000-79,999 10,000-99,999 3-5
## 2619 1,000-1,999 0 < 1
## 2620 125,000-149,999 > 100,000 5-10
## 2621 <NA> <NA> < 1
## 2622 5,000-7,499 1000-9,999 1-2
## 2623 70,000-79,999 1-99 5-10
## 2624 <NA> <NA> 1-2
## 2625 80,000-89,999 10,000-99,999 1-2
## 2626 40,000-49,999 0 < 1
## 2627 200,000-249,999 > 100,000 20+
## 2628 60,000-69,999 1000-9,999 1-2
## 2629 <NA> <NA> None
## 2630 60,000-69,999 > 100,000 3-5
## 2631 2,000-2,999 0 < 1
## 2632 <NA> <NA> < 1
## 2633 80,000-89,999 > 100,000 3-5
## 2634 <NA> <NA> 1-2
## 2635 2,000-2,999 1-99 < 1
## 2636 30,000-39,999 1-99 < 1
## 2637 <NA> <NA> 3-5
## 2638 <NA> <NA> < 1
## 2639 150,000-199,999 1000-9,999 3-5
## 2640 25,000-29,999 1000-9,999 1-2
## 2641 25,000-29,999 1000-9,999 3-5
## 2642 0-999 0 3-5
## 2643 0-999 1000-9,999 20+
## 2644 7,500-9,999 1-99 < 1
## 2645 60,000-69,999 0 3-5
## 2646 0-999 0 3-5
## 2647 <NA> <NA> None
## 2648 70,000-79,999 > 100,000 1-2
## 2649 40,000-49,999 0 5-10
## 2650 <NA> <NA> 20+
## 2651 125,000-149,999 > 100,000 20+
## 2652 150,000-199,999 10,000-99,999 10-20
## 2653 3,000-3,999 1-99 1-2
## 2654 100,000-124,999 10,000-99,999 3-5
## 2655 30,000-39,999 10,000-99,999 3-5
## 2656 90,000-99,999 1000-9,999 5-10
## 2657 70,000-79,999 0 20+
## 2658 <NA> <NA> 1-2
## 2659 70,000-79,999 100-999 5-10
## 2660 10,000-14,999 1000-9,999 5-10
## 2661 <NA> <NA> < 1
## 2662 25,000-29,999 10,000-99,999 1-2
## 2663 <NA> <NA> 1-2
## 2664 70,000-79,999 1000-9,999 3-5
## 2665 10,000-14,999 1000-9,999 3-5
## 2666 > 500,000 > 100,000 1-2
## 2667 30,000-39,999 0 < 1
## 2668 3,000-3,999 100-999 3-5
## 2669 <NA> <NA> 1-2
## 2670 50,000-59,999 100-999 3-5
## 2671 40,000-49,999 0 5-10
## 2672 100,000-124,999 > 100,000 5-10
## 2673 <NA> <NA> 1-2
## 2674 125,000-149,999 > 100,000 5-10
## 2675 <NA> <NA> < 1
## 2676 0-999 1-99 1-2
## 2677 <NA> <NA> 3-5
## 2678 <NA> <NA> 3-5
## 2679 10,000-14,999 0 3-5
## 2680 0-999 1-99 < 1
## 2681 <NA> <NA> 1-2
## 2682 125,000-149,999 100-999 20+
## 2683 <NA> <NA> None
## 2684 10,000-14,999 1000-9,999 3-5
## 2685 0-999 0 3-5
## 2686 100,000-124,999 1000-9,999 3-5
## 2687 70,000-79,999 100-999 3-5
## 2688 40,000-49,999 0 1-2
## 2689 150,000-199,999 1000-9,999 1-2
## 2690 40,000-49,999 1000-9,999 < 1
## 2691 1,000-1,999 0 < 1
## 2692 1,000-1,999 1-99 3-5
## 2693 <NA> <NA> 20+
## 2694 30,000-39,999 1000-9,999 5-10
## 2695 15,000-19,999 1000-9,999 3-5
## 2696 0-999 100-999 < 1
## 2697 90,000-99,999 > 100,000 5-10
## 2698 40,000-49,999 1000-9,999 3-5
## 2699 <NA> <NA> < 1
## 2700 0-999 1000-9,999 < 1
## 2701 <NA> <NA> < 1
## 2702 0-999 100-999 < 1
## 2703 <NA> <NA> < 1
## 2704 60,000-69,999 10,000-99,999 10-20
## 2705 5,000-7,499 0 None
## 2706 300,000-500,000 > 100,000 10-20
## 2707 50,000-59,999 0 < 1
## 2708 <NA> <NA> 1-2
## 2709 15,000-19,999 1-99 3-5
## 2710 125,000-149,999 10,000-99,999 3-5
## 2711 7,500-9,999 100-999 3-5
## 2712 0-999 0 3-5
## 2713 150,000-199,999 1000-9,999 10-20
## 2714 100,000-124,999 10,000-99,999 5-10
## 2715 0-999 0 3-5
## 2716 <NA> <NA> 1-2
## 2717 <NA> <NA> < 1
## 2718 125,000-149,999 1-99 5-10
## 2719 0-999 100-999 5-10
## 2720 <NA> <NA> < 1
## 2721 100,000-124,999 1-99 20+
## 2722 60,000-69,999 1000-9,999 3-5
## 2723 1,000-1,999 100-999 1-2
## 2724 2,000-2,999 0 < 1
## 2725 15,000-19,999 1-99 20+
## 2726 90,000-99,999 0 5-10
## 2727 10,000-14,999 0 1-2
## 2728 10,000-14,999 1-99 5-10
## 2729 <NA> <NA> < 1
## 2730 <NA> <NA> None
## 2731 10,000-14,999 1-99 5-10
## 2732 40,000-49,999 100-999 3-5
## 2733 0-999 0 < 1
## 2734 <NA> <NA> 1-2
## 2735 100,000-124,999 0 1-2
## 2736 30,000-39,999 > 100,000 5-10
## 2737 > 500,000 10,000-99,999 10-20
## 2738 <NA> <NA> 1-2
## 2739 1,000-1,999 0 None
## 2740 7,500-9,999 1-99 3-5
## 2741 80,000-89,999 0 < 1
## 2742 10,000-14,999 100-999 3-5
## 2743 <NA> <NA> 1-2
## 2744 50,000-59,999 > 100,000 5-10
## 2745 90,000-99,999 1000-9,999 3-5
## 2746 125,000-149,999 0 1-2
## 2747 20,000-24,999 0 < 1
## 2748 <NA> <NA> < 1
## 2749 5,000-7,499 100-999 1-2
## 2750 <NA> <NA> < 1
## 2751 20,000-24,999 100-999 1-2
## 2752 60,000-69,999 1000-9,999 10-20
## 2753 50,000-59,999 100-999 1-2
## 2754 20,000-24,999 100-999 3-5
## 2755 100,000-124,999 10,000-99,999 3-5
## 2756 90,000-99,999 100-999 3-5
## 2757 2,000-2,999 0 5-10
## 2758 10,000-14,999 100-999 < 1
## 2759 2,000-2,999 1000-9,999 None
## 2760 0-999 0 < 1
## 2761 30,000-39,999 1000-9,999 5-10
## 2762 60,000-69,999 > 100,000 10-20
## 2763 <NA> <NA> 1-2
## 2764 <NA> <NA> 1-2
## 2765 1,000-1,999 1-99 1-2
## 2766 5,000-7,499 1-99 1-2
## 2767 15,000-19,999 1000-9,999 3-5
## 2768 15,000-19,999 1000-9,999 5-10
## 2769 80,000-89,999 0 1-2
## 2770 60,000-69,999 1000-9,999 3-5
## 2771 <NA> <NA> None
## 2772 50,000-59,999 0 3-5
## 2773 10,000-14,999 1-99 < 1
## 2774 <NA> <NA> < 1
## 2775 100,000-124,999 100-999 < 1
## 2776 70,000-79,999 0 3-5
## 2777 <NA> <NA> < 1
## 2778 <NA> <NA> 5-10
## 2779 <NA> <NA> None
## 2780 0-999 0 1-2
## 2781 125,000-149,999 10,000-99,999 3-5
## 2782 70,000-79,999 10,000-99,999 1-2
## 2783 <NA> <NA> 1-2
## 2784 80,000-89,999 0 1-2
## 2785 5,000-7,499 0 3-5
## 2786 90,000-99,999 10,000-99,999 10-20
## 2787 40,000-49,999 100-999 < 1
## 2788 5,000-7,499 0 < 1
## 2789 <NA> <NA> < 1
## 2790 50,000-59,999 0 10-20
## 2791 7,500-9,999 1-99 3-5
## 2792 30,000-39,999 10,000-99,999 10-20
## 2793 25,000-29,999 1000-9,999 5-10
## 2794 <NA> <NA> < 1
## 2795 <NA> <NA> < 1
## 2796 100,000-124,999 100-999 10-20
## 2797 60,000-69,999 0 1-2
## 2798 90,000-99,999 0 10-20
## 2799 5,000-7,499 100-999 1-2
## 2800 2,000-2,999 100-999 3-5
## 2801 0-999 1-99 1-2
## 2802 300,000-500,000 > 100,000 5-10
## 2803 50,000-59,999 0 10-20
## 2804 20,000-24,999 1000-9,999 3-5
## 2805 50,000-59,999 100-999 3-5
## 2806 30,000-39,999 10,000-99,999 < 1
## 2807 0-999 100-999 5-10
## 2808 <NA> <NA> 1-2
## 2809 40,000-49,999 1000-9,999 20+
## 2810 <NA> <NA> < 1
## 2811 1,000-1,999 0 3-5
## 2812 3,000-3,999 100-999 < 1
## 2813 60,000-69,999 100-999 3-5
## 2814 90,000-99,999 10,000-99,999 20+
## 2815 <NA> <NA> < 1
## 2816 0-999 0 < 1
## 2817 10,000-14,999 0 < 1
## 2818 2,000-2,999 1-99 < 1
## 2819 0-999 0 < 1
## 2820 1,000-1,999 1000-9,999 1-2
## 2821 2,000-2,999 1-99 3-5
## 2822 <NA> <NA> 1-2
## 2823 <NA> <NA> < 1
## 2824 60,000-69,999 100-999 3-5
## 2825 15,000-19,999 10,000-99,999 None
## 2826 0-999 0 1-2
## 2827 <NA> <NA> < 1
## 2828 <NA> <NA> 3-5
## 2829 0-999 100-999 < 1
## 2830 1,000-1,999 1000-9,999 1-2
## 2831 <NA> <NA> < 1
## 2832 0-999 1000-9,999 3-5
## 2833 90,000-99,999 100-999 1-2
## 2834 > 500,000 > 100,000 3-5
## 2835 <NA> <NA> < 1
## 2836 15,000-19,999 100-999 1-2
## 2837 150,000-199,999 > 100,000 10-20
## 2838 <NA> <NA> 1-2
## 2839 15,000-19,999 0 5-10
## 2840 <NA> <NA> 1-2
## 2841 15,000-19,999 10,000-99,999 3-5
## 2842 5,000-7,499 0 < 1
## 2843 0-999 100-999 None
## 2844 300,000-500,000 10,000-99,999 5-10
## 2845 <NA> <NA> 1-2
## 2846 30,000-39,999 1000-9,999 5-10
## 2847 50,000-59,999 1000-9,999 1-2
## 2848 <NA> <NA> 1-2
## 2849 0-999 100-999 5-10
## 2850 10,000-14,999 1000-9,999 1-2
## 2851 20,000-24,999 1000-9,999 1-2
## 2852 <NA> <NA> < 1
## 2853 200,000-249,999 10,000-99,999 < 1
## 2854 30,000-39,999 0 3-5
## 2855 <NA> <NA> < 1
## 2856 50,000-59,999 100-999 1-2
## 2857 7,500-9,999 100-999 10-20
## 2858 0-999 0 < 1
## 2859 <NA> <NA> < 1
## 2860 <NA> <NA> 1-2
## 2861 <NA> <NA> 1-2
## 2862 1,000-1,999 0 1-2
## 2863 5,000-7,499 0 None
## 2864 2,000-2,999 10,000-99,999 10-20
## 2865 0-999 0 < 1
## 2866 <NA> <NA> 1-2
## 2867 0-999 0 20+
## 2868 10,000-14,999 100-999 1-2
## 2869 100,000-124,999 1-99 3-5
## 2870 <NA> <NA> < 1
## 2871 0-999 1-99 < 1
## 2872 125,000-149,999 > 100,000 10-20
## 2873 <NA> <NA> None
## 2874 <NA> <NA> < 1
## 2875 5,000-7,499 0 < 1
## 2876 1,000-1,999 100-999 3-5
## 2877 70,000-79,999 1-99 5-10
## 2878 30,000-39,999 10,000-99,999 10-20
## 2879 60,000-69,999 1-99 1-2
## 2880 5,000-7,499 0 1-2
## 2881 60,000-69,999 1000-9,999 1-2
## 2882 200,000-249,999 > 100,000 10-20
## 2883 <NA> <NA> < 1
## 2884 <NA> <NA> < 1
## 2885 20,000-24,999 100-999 3-5
## 2886 20,000-24,999 0 1-2
## 2887 0-999 0 < 1
## 2888 80,000-89,999 1000-9,999 None
## 2889 30,000-39,999 0 3-5
## 2890 10,000-14,999 0 None
## 2891 10,000-14,999 1000-9,999 3-5
## 2892 3,000-3,999 0 < 1
## 2893 150,000-199,999 100-999 10-20
## 2894 7,500-9,999 0 1-2
## 2895 150,000-199,999 0 5-10
## 2896 <NA> <NA> 20+
## 2897 70,000-79,999 0 1-2
## 2898 150,000-199,999 > 100,000 5-10
## 2899 <NA> <NA> < 1
## 2900 <NA> <NA> < 1
## 2901 <NA> <NA> 1-2
## 2902 <NA> <NA> 1-2
## 2903 <NA> <NA> < 1
## 2904 <NA> <NA> None
## 2905 15,000-19,999 1000-9,999 1-2
## 2906 20,000-24,999 100-999 5-10
## 2907 30,000-39,999 > 100,000 3-5
## 2908 25,000-29,999 0 1-2
## 2909 3,000-3,999 1000-9,999 1-2
## 2910 10,000-14,999 1000-9,999 5-10
## 2911 <NA> <NA> 3-5
## 2912 80,000-89,999 10,000-99,999 3-5
## 2913 150,000-199,999 > 100,000 20+
## 2914 125,000-149,999 > 100,000 5-10
## 2915 <NA> <NA> < 1
## 2916 10,000-14,999 1000-9,999 1-2
## 2917 20,000-24,999 > 100,000 3-5
## 2918 60,000-69,999 > 100,000 5-10
## 2919 5,000-7,499 1000-9,999 None
## 2920 <NA> <NA> 5-10
## 2921 40,000-49,999 1-99 10-20
## 2922 3,000-3,999 1-99 1-2
## 2923 10,000-14,999 10,000-99,999 None
## 2924 0-999 1000-9,999 3-5
## 2925 20,000-24,999 1000-9,999 < 1
## 2926 <NA> <NA> 1-2
## 2927 <NA> <NA> 1-2
## 2928 <NA> <NA> < 1
## 2929 30,000-39,999 10,000-99,999 < 1
## 2930 150,000-199,999 0 5-10
## 2931 <NA> <NA> 1-2
## 2932 25,000-29,999 1-99 1-2
## 2933 <NA> <NA> 1-2
## 2934 30,000-39,999 1-99 3-5
## 2935 <NA> <NA> 1-2
## 2936 50,000-59,999 1-99 None
## 2937 <NA> <NA> None
## 2938 5,000-7,499 0 < 1
## 2939 30,000-39,999 0 < 1
## 2940 15,000-19,999 100-999 1-2
## 2941 60,000-69,999 > 100,000 5-10
## 2942 60,000-69,999 0 3-5
## 2943 <NA> <NA> 3-5
## 2944 10,000-14,999 1000-9,999 1-2
## 2945 20,000-24,999 0 < 1
## 2946 <NA> <NA> < 1
## 2947 <NA> <NA> 1-2
## 2948 200,000-249,999 10,000-99,999 1-2
## 2949 <NA> <NA> 1-2
## 2950 <NA> <NA> < 1
## 2951 <NA> <NA> < 1
## 2952 10,000-14,999 0 < 1
## 2953 <NA> <NA> < 1
## 2954 <NA> <NA> < 1
## 2955 10,000-14,999 1000-9,999 3-5
## 2956 25,000-29,999 100-999 3-5
## 2957 150,000-199,999 100-999 None
## 2958 0-999 1-99 None
## 2959 40,000-49,999 100-999 1-2
## 2960 0-999 0 1-2
## 2961 7,500-9,999 1-99 3-5
## 2962 0-999 10,000-99,999 20+
## 2963 40,000-49,999 0 3-5
## 2964 30,000-39,999 0 < 1
## 2965 0-999 0 < 1
## 2966 2,000-2,999 100-999 3-5
## 2967 <NA> <NA> 1-2
## 2968 10,000-14,999 10,000-99,999 3-5
## 2969 <NA> <NA> 1-2
## 2970 2,000-2,999 1000-9,999 1-2
## 2971 <NA> <NA> 1-2
## 2972 <NA> <NA> None
## 2973 <NA> <NA> < 1
## 2974 20,000-24,999 1000-9,999 10-20
## 2975 <NA> <NA> 10-20
## 2976 3,000-3,999 100-999 5-10
## 2977 1,000-1,999 100-999 1-2
## 2978 60,000-69,999 10,000-99,999 10-20
## 2979 25,000-29,999 1-99 3-5
## 2980 7,500-9,999 1-99 1-2
## 2981 3,000-3,999 1000-9,999 5-10
## 2982 10,000-14,999 0 3-5
## 2983 60,000-69,999 10,000-99,999 10-20
## 2984 10,000-14,999 10,000-99,999 < 1
## 2985 125,000-149,999 10,000-99,999 3-5
## 2986 15,000-19,999 0 < 1
## 2987 0-999 0 None
## 2988 <NA> <NA> 1-2
## 2989 <NA> <NA> < 1
## 2990 0-999 1-99 < 1
## 2991 40,000-49,999 1000-9,999 5-10
## 2992 <NA> <NA> < 1
## 2993 <NA> <NA> 1-2
## 2994 70,000-79,999 0 < 1
## 2995 <NA> <NA> 1-2
## 2996 <NA> <NA> None
## 2997 3,000-3,999 1000-9,999 3-5
## 2998 0-999 0 1-2
## 2999 80,000-89,999 10,000-99,999 < 1
## 3000 70,000-79,999 1000-9,999 10-20
## 3001 0-999 0 None
## 3002 50,000-59,999 10,000-99,999 3-5
## 3003 5,000-7,499 100-999 3-5
## 3004 1,000-1,999 0 None
## 3005 <NA> <NA> 1-2
## 3006 0-999 100-999 1-2
## 3007 40,000-49,999 100-999 5-10
## 3008 25,000-29,999 100-999 5-10
## 3009 5,000-7,499 0 5-10
## 3010 3,000-3,999 100-999 < 1
## 3011 300,000-500,000 100-999 None
## 3012 <NA> <NA> 3-5
## 3013 0-999 100-999 3-5
## 3014 250,000-299,999 > 100,000 1-2
## 3015 80,000-89,999 1000-9,999 5-10
## 3016 <NA> <NA> < 1
## 3017 5,000-7,499 > 100,000 3-5
## 3018 <NA> <NA> 1-2
## 3019 3,000-3,999 1-99 5-10
## 3020 <NA> <NA> < 1
## 3021 <NA> <NA> < 1
## 3022 <NA> <NA> < 1
## 3023 150,000-199,999 1000-9,999 5-10
## 3024 30,000-39,999 1-99 < 1
## 3025 50,000-59,999 0 3-5
## 3026 7,500-9,999 0 1-2
## 3027 40,000-49,999 0 1-2
## 3028 100,000-124,999 10,000-99,999 3-5
## 3029 10,000-14,999 0 < 1
## 3030 20,000-24,999 1-99 None
## 3031 4,000-4,999 1000-9,999 < 1
## 3032 15,000-19,999 100-999 1-2
## 3033 80,000-89,999 0 3-5
## 3034 80,000-89,999 0 < 1
## 3035 7,500-9,999 1-99 < 1
## 3036 1,000-1,999 0 3-5
## 3037 <NA> <NA> < 1
## 3038 <NA> <NA> 1-2
## 3039 70,000-79,999 100-999 1-2
## 3040 <NA> <NA> < 1
## 3041 2,000-2,999 1000-9,999 None
## 3042 15,000-19,999 1000-9,999 3-5
## 3043 125,000-149,999 1000-9,999 3-5
## 3044 60,000-69,999 100-999 1-2
## 3045 10,000-14,999 100-999 < 1
## 3046 0-999 100-999 1-2
## 3047 60,000-69,999 10,000-99,999 5-10
## 3048 10,000-14,999 1000-9,999 1-2
## 3049 10,000-14,999 0 1-2
## 3050 100,000-124,999 > 100,000 20+
## 3051 80,000-89,999 0 1-2
## 3052 40,000-49,999 10,000-99,999 3-5
## 3053 0-999 100-999 < 1
## 3054 <NA> <NA> 1-2
## 3055 <NA> <NA> < 1
## 3056 <NA> <NA> < 1
## 3057 <NA> <NA> < 1
## 3058 40,000-49,999 1000-9,999 10-20
## 3059 150,000-199,999 0 < 1
## 3060 <NA> <NA> 1-2
## 3061 <NA> <NA> 3-5
## 3062 <NA> <NA> 3-5
## 3063 25,000-29,999 1000-9,999 3-5
## 3064 <NA> <NA> 1-2
## 3065 60,000-69,999 > 100,000 None
## 3066 90,000-99,999 1000-9,999 1-2
## 3067 <NA> <NA> < 1
## 3068 <NA> <NA> 3-5
## 3069 100,000-124,999 10,000-99,999 3-5
## 3070 30,000-39,999 > 100,000 None
## 3071 30,000-39,999 > 100,000 1-2
## 3072 <NA> <NA> < 1
## 3073 1,000-1,999 10,000-99,999 5-10
## 3074 1,000-1,999 0 None
## 3075 0-999 100-999 5-10
## 3076 0-999 100-999 3-5
## 3077 <NA> <NA> None
## 3078 10,000-14,999 1-99 1-2
## 3079 <NA> <NA> < 1
## 3080 5,000-7,499 1-99 < 1
## 3081 0-999 0 1-2
## 3082 2,000-2,999 0 1-2
## 3083 <NA> <NA> 3-5
## 3084 <NA> <NA> 1-2
## 3085 7,500-9,999 10,000-99,999 < 1
## 3086 50,000-59,999 10,000-99,999 < 1
## 3087 70,000-79,999 0 10-20
## 3088 <NA> <NA> < 1
## 3089 50,000-59,999 100-999 5-10
## 3090 15,000-19,999 100-999 3-5
## 3091 25,000-29,999 0 1-2
## 3092 1,000-1,999 0 1-2
## 3093 100,000-124,999 1-99 10-20
## 3094 20,000-24,999 1-99 1-2
## 3095 <NA> <NA> < 1
## 3096 <NA> <NA> None
## 3097 50,000-59,999 10,000-99,999 5-10
## 3098 125,000-149,999 1000-9,999 5-10
## 3099 <NA> <NA> 3-5
## 3100 <NA> <NA> < 1
## 3101 0-999 100-999 < 1
## 3102 70,000-79,999 0 5-10
## 3103 15,000-19,999 0 < 1
## 3104 <NA> <NA> < 1
## 3105 <NA> <NA> 10-20
## 3106 0-999 1-99 < 1
## 3107 100,000-124,999 > 100,000 3-5
## 3108 15,000-19,999 100-999 5-10
## 3109 0-999 100-999 3-5
## 3110 <NA> <NA> 1-2
## 3111 <NA> <NA> 3-5
## 3112 50,000-59,999 0 10-20
## 3113 4,000-4,999 1000-9,999 1-2
## 3114 1,000-1,999 0 < 1
## 3115 <NA> <NA> < 1
## 3116 <NA> <NA> 1-2
## 3117 <NA> <NA> 1-2
## 3118 <NA> <NA> < 1
## 3119 30,000-39,999 0 3-5
## 3120 10,000-14,999 > 100,000 3-5
## 3121 7,500-9,999 0 3-5
## 3122 1,000-1,999 1000-9,999 1-2
## 3123 0-999 1-99 3-5
## 3124 15,000-19,999 10,000-99,999 1-2
## 3125 10,000-14,999 1000-9,999 1-2
## 3126 100,000-124,999 100-999 3-5
## 3127 50,000-59,999 1000-9,999 3-5
## 3128 60,000-69,999 100-999 3-5
## 3129 0-999 0 < 1
## 3130 20,000-24,999 100-999 5-10
## 3131 5,000-7,499 > 100,000 1-2
## 3132 10,000-14,999 1-99 < 1
## 3133 60,000-69,999 100-999 10-20
## 3134 150,000-199,999 10,000-99,999 10-20
## 3135 <NA> <NA> 20+
## 3136 150,000-199,999 > 100,000 10-20
## 3137 7,500-9,999 0 5-10
## 3138 2,000-2,999 0 < 1
## 3139 20,000-24,999 0 1-2
## 3140 <NA> <NA> < 1
## 3141 <NA> <NA> None
## 3142 80,000-89,999 0 1-2
## 3143 0-999 10,000-99,999 10-20
## 3144 15,000-19,999 100-999 5-10
## 3145 10,000-14,999 0 < 1
## 3146 25,000-29,999 1000-9,999 10-20
## 3147 20,000-24,999 1000-9,999 < 1
## 3148 5,000-7,499 1-99 None
## 3149 100,000-124,999 0 5-10
## 3150 3,000-3,999 1000-9,999 1-2
## 3151 5,000-7,499 0 1-2
## 3152 20,000-24,999 100-999 10-20
## 3153 2,000-2,999 1-99 3-5
## 3154 <NA> <NA> 1-2
## 3155 80,000-89,999 > 100,000 5-10
## 3156 30,000-39,999 1-99 3-5
## 3157 0-999 1-99 < 1
## 3158 25,000-29,999 0 3-5
## 3159 <NA> <NA> < 1
## 3160 125,000-149,999 100-999 20+
## 3161 <NA> <NA> None
## 3162 2,000-2,999 1000-9,999 < 1
## 3163 <NA> <NA> None
## 3164 60,000-69,999 0 3-5
## 3165 0-999 1-99 < 1
## 3166 70,000-79,999 10,000-99,999 5-10
## 3167 1,000-1,999 1-99 < 1
## 3168 0-999 1-99 1-2
## 3169 5,000-7,499 0 1-2
## 3170 70,000-79,999 > 100,000 5-10
## 3171 40,000-49,999 1-99 1-2
## 3172 <NA> <NA> 1-2
## 3173 <NA> <NA> < 1
## 3174 5,000-7,499 0 < 1
## 3175 0-999 0 None
## 3176 <NA> <NA> 1-2
## 3177 50,000-59,999 1000-9,999 5-10
## 3178 50,000-59,999 100-999 3-5
## 3179 100,000-124,999 1000-9,999 1-2
## 3180 70,000-79,999 > 100,000 10-20
## 3181 5,000-7,499 1000-9,999 None
## 3182 125,000-149,999 100-999 3-5
## 3183 <NA> <NA> < 1
## 3184 10,000-14,999 0 5-10
## 3185 40,000-49,999 0 1-2
## 3186 0-999 100-999 1-2
## 3187 70,000-79,999 > 100,000 3-5
## 3188 0-999 1-99 < 1
## 3189 90,000-99,999 > 100,000 1-2
## 3190 20,000-24,999 1-99 < 1
## 3191 7,500-9,999 10,000-99,999 5-10
## 3192 5,000-7,499 1000-9,999 10-20
## 3193 60,000-69,999 100-999 20+
## 3194 20,000-24,999 10,000-99,999 10-20
## 3195 90,000-99,999 0 10-20
## 3196 <NA> <NA> 3-5
## 3197 80,000-89,999 1000-9,999 3-5
## 3198 60,000-69,999 > 100,000 1-2
## 3199 <NA> <NA> 5-10
## 3200 50,000-59,999 0 5-10
## 3201 150,000-199,999 > 100,000 5-10
## 3202 0-999 0 < 1
## 3203 0-999 1-99 3-5
## 3204 25,000-29,999 100-999 3-5
## 3205 40,000-49,999 > 100,000 5-10
## 3206 0-999 0 None
## 3207 <NA> <NA> < 1
## 3208 <NA> <NA> 1-2
## 3209 <NA> <NA> < 1
## 3210 5,000-7,499 100-999 1-2
## 3211 150,000-199,999 0 1-2
## 3212 <NA> <NA> < 1
## 3213 <NA> <NA> 5-10
## 3214 3,000-3,999 100-999 1-2
## 3215 15,000-19,999 100-999 20+
## 3216 80,000-89,999 0 10-20
## 3217 5,000-7,499 1-99 1-2
## 3218 20,000-24,999 1000-9,999 3-5
## 3219 125,000-149,999 0 3-5
## 3220 20,000-24,999 10,000-99,999 10-20
## 3221 5,000-7,499 1-99 < 1
## 3222 0-999 0 < 1
## 3223 100,000-124,999 100-999 20+
## 3224 3,000-3,999 100-999 1-2
## 3225 60,000-69,999 1000-9,999 3-5
## 3226 0-999 0 1-2
## 3227 0-999 0 1-2
## 3228 <NA> <NA> 3-5
## 3229 <NA> <NA> < 1
## 3230 <NA> <NA> < 1
## 3231 <NA> <NA> 1-2
## 3232 <NA> <NA> < 1
## 3233 <NA> <NA> < 1
## 3234 <NA> <NA> 3-5
## 3235 0-999 1-99 None
## 3236 <NA> <NA> < 1
## 3237 3,000-3,999 0 < 1
## 3238 100,000-124,999 1000-9,999 10-20
## 3239 <NA> <NA> < 1
## 3240 0-999 1000-9,999 < 1
## 3241 <NA> <NA> < 1
## 3242 <NA> <NA> 1-2
## 3243 5,000-7,499 0 1-2
## 3244 200,000-249,999 > 100,000 10-20
## 3245 70,000-79,999 > 100,000 3-5
## 3246 10,000-14,999 0 < 1
## 3247 4,000-4,999 100-999 1-2
## 3248 10,000-14,999 > 100,000 1-2
## 3249 200,000-249,999 10,000-99,999 5-10
## 3250 10,000-14,999 100-999 1-2
## 3251 30,000-39,999 0 5-10
## 3252 0-999 0 < 1
## 3253 <NA> <NA> < 1
## 3254 7,500-9,999 1-99 3-5
## 3255 50,000-59,999 100-999 < 1
## 3256 25,000-29,999 1000-9,999 5-10
## 3257 30,000-39,999 0 1-2
## 3258 10,000-14,999 1000-9,999 1-2
## 3259 <NA> <NA> < 1
## 3260 0-999 100-999 < 1
## 3261 25,000-29,999 100-999 1-2
## 3262 5,000-7,499 10,000-99,999 1-2
## 3263 150,000-199,999 1000-9,999 5-10
## 3264 <NA> <NA> 1-2
## 3265 <NA> <NA> < 1
## 3266 1,000-1,999 1000-9,999 < 1
## 3267 7,500-9,999 0 < 1
## 3268 30,000-39,999 100-999 1-2
## 3269 60,000-69,999 10,000-99,999 5-10
## 3270 25,000-29,999 0 < 1
## 3271 1,000-1,999 0 10-20
## 3272 <NA> <NA> < 1
## 3273 40,000-49,999 1-99 3-5
## 3274 2,000-2,999 0 None
## 3275 100,000-124,999 10,000-99,999 10-20
## 3276 30,000-39,999 0 5-10
## 3277 80,000-89,999 0 10-20
## 3278 4,000-4,999 1-99 None
## 3279 5,000-7,499 1-99 < 1
## 3280 2,000-2,999 100-999 1-2
## 3281 <NA> <NA> < 1
## 3282 4,000-4,999 0 None
## 3283 <NA> <NA> 1-2
## 3284 90,000-99,999 1000-9,999 3-5
## 3285 <NA> <NA> < 1
## 3286 0-999 1000-9,999 3-5
## 3287 60,000-69,999 > 100,000 5-10
## 3288 > 500,000 0 5-10
## 3289 5,000-7,499 0 1-2
## 3290 <NA> <NA> 20+
## 3291 <NA> <NA> 1-2
## 3292 3,000-3,999 0 None
## 3293 0-999 1-99 None
## 3294 20,000-24,999 100-999 1-2
## 3295 30,000-39,999 100-999 < 1
## 3296 30,000-39,999 > 100,000 3-5
## 3297 <NA> <NA> < 1
## 3298 10,000-14,999 100-999 1-2
## 3299 7,500-9,999 1-99 1-2
## 3300 40,000-49,999 0 10-20
## 3301 25,000-29,999 100-999 < 1
## 3302 150,000-199,999 10,000-99,999 3-5
## 3303 150,000-199,999 10,000-99,999 20+
## 3304 40,000-49,999 1000-9,999 5-10
## 3305 <NA> <NA> 1-2
## 3306 <NA> <NA> < 1
## 3307 30,000-39,999 0 None
## 3308 60,000-69,999 > 100,000 10-20
## 3309 15,000-19,999 100-999 1-2
## 3310 7,500-9,999 1000-9,999 1-2
## 3311 20,000-24,999 100-999 1-2
## 3312 40,000-49,999 0 5-10
## 3313 70,000-79,999 100-999 5-10
## 3314 25,000-29,999 100-999 5-10
## 3315 0-999 100-999 < 1
## 3316 150,000-199,999 10,000-99,999 10-20
## 3317 <NA> <NA> < 1
## 3318 0-999 1-99 1-2
## 3319 30,000-39,999 1-99 20+
## 3320 30,000-39,999 1-99 1-2
## 3321 7,500-9,999 0 None
## 3322 <NA> <NA> < 1
## 3323 60,000-69,999 0 20+
## 3324 <NA> <NA> < 1
## 3325 <NA> <NA> None
## 3326 15,000-19,999 0 1-2
## 3327 1,000-1,999 100-999 1-2
## 3328 40,000-49,999 1000-9,999 5-10
## 3329 1,000-1,999 100-999 1-2
## 3330 60,000-69,999 > 100,000 10-20
## 3331 <NA> <NA> 1-2
## 3332 <NA> <NA> 1-2
## 3333 1,000-1,999 100-999 1-2
## 3334 <NA> <NA> None
## 3335 <NA> <NA> None
## 3336 40,000-49,999 1000-9,999 3-5
## 3337 <NA> <NA> 1-2
## 3338 1,000-1,999 100-999 3-5
## 3339 7,500-9,999 10,000-99,999 3-5
## 3340 125,000-149,999 > 100,000 10-20
## 3341 5,000-7,499 0 < 1
## 3342 <NA> <NA> 3-5
## 3343 0-999 0 1-2
## 3344 5,000-7,499 0 3-5
## 3345 <NA> <NA> None
## 3346 40,000-49,999 0 3-5
## 3347 <NA> <NA> < 1
## 3348 0-999 0 < 1
## 3349 30,000-39,999 0 20+
## 3350 <NA> <NA> 3-5
## 3351 10,000-14,999 1000-9,999 5-10
## 3352 <NA> <NA> None
## 3353 125,000-149,999 > 100,000 5-10
## 3354 0-999 1-99 < 1
## 3355 25,000-29,999 1000-9,999 < 1
## 3356 80,000-89,999 1000-9,999 20+
## 3357 7,500-9,999 100-999 1-2
## 3358 5,000-7,499 0 1-2
## 3359 0-999 0 < 1
## 3360 30,000-39,999 1000-9,999 3-5
## 3361 60,000-69,999 0 3-5
## 3362 <NA> <NA> 1-2
## 3363 50,000-59,999 100-999 1-2
## 3364 125,000-149,999 > 100,000 1-2
## 3365 <NA> <NA> < 1
## 3366 80,000-89,999 10,000-99,999 10-20
## 3367 40,000-49,999 1-99 1-2
## 3368 0-999 0 < 1
## 3369 <NA> <NA> 1-2
## 3370 70,000-79,999 10,000-99,999 5-10
## 3371 30,000-39,999 0 5-10
## 3372 20,000-24,999 > 100,000 1-2
## 3373 25,000-29,999 1-99 3-5
## 3374 20,000-24,999 0 1-2
## 3375 25,000-29,999 0 1-2
## 3376 70,000-79,999 100-999 5-10
## 3377 10,000-14,999 1000-9,999 1-2
## 3378 3,000-3,999 0 1-2
## 3379 60,000-69,999 0 1-2
## 3380 <NA> <NA> < 1
## 3381 100,000-124,999 > 100,000 20+
## 3382 125,000-149,999 10,000-99,999 5-10
## 3383 60,000-69,999 0 < 1
## 3384 <NA> <NA> 1-2
## 3385 30,000-39,999 0 < 1
## 3386 0-999 0 < 1
## 3387 15,000-19,999 1000-9,999 1-2
## 3388 90,000-99,999 1000-9,999 10-20
## 3389 0-999 1000-9,999 < 1
## 3390 <NA> <NA> < 1
## 3391 <NA> <NA> None
## 3392 50,000-59,999 1000-9,999 10-20
## 3393 > 500,000 > 100,000 None
## 3394 50,000-59,999 10,000-99,999 20+
## 3395 <NA> <NA> < 1
## 3396 2,000-2,999 100-999 1-2
## 3397 5,000-7,499 0 < 1
## 3398 <NA> <NA> < 1
## 3399 4,000-4,999 0 3-5
## 3400 2,000-2,999 1-99 1-2
## 3401 <NA> <NA> 1-2
## 3402 25,000-29,999 100-999 3-5
## 3403 20,000-24,999 0 1-2
## 3404 60,000-69,999 1000-9,999 5-10
## 3405 0-999 0 < 1
## 3406 50,000-59,999 0 < 1
## 3407 0-999 1000-9,999 5-10
## 3408 10,000-14,999 1000-9,999 1-2
## 3409 15,000-19,999 0 1-2
## 3410 5,000-7,499 1000-9,999 3-5
## 3411 200,000-249,999 > 100,000 1-2
## 3412 70,000-79,999 10,000-99,999 3-5
## 3413 <NA> <NA> 1-2
## 3414 <NA> <NA> < 1
## 3415 <NA> <NA> 5-10
## 3416 40,000-49,999 1000-9,999 5-10
## 3417 0-999 0 < 1
## 3418 90,000-99,999 100-999 10-20
## 3419 10,000-14,999 0 5-10
## 3420 <NA> <NA> 1-2
## 3421 25,000-29,999 0 1-2
## 3422 30,000-39,999 1000-9,999 3-5
## 3423 <NA> <NA> 1-2
## 3424 50,000-59,999 0 3-5
## 3425 30,000-39,999 0 < 1
## 3426 25,000-29,999 0 1-2
## 3427 90,000-99,999 10,000-99,999 20+
## 3428 30,000-39,999 0 < 1
## 3429 2,000-2,999 1-99 1-2
## 3430 20,000-24,999 0 3-5
## 3431 20,000-24,999 1000-9,999 < 1
## 3432 40,000-49,999 10,000-99,999 1-2
## 3433 50,000-59,999 0 1-2
## 3434 <NA> <NA> < 1
## 3435 50,000-59,999 0 5-10
## 3436 <NA> <NA> 1-2
## 3437 0-999 1-99 20+
## 3438 1,000-1,999 1-99 1-2
## 3439 70,000-79,999 0 1-2
## 3440 10,000-14,999 0 None
## 3441 25,000-29,999 10,000-99,999 3-5
## 3442 50,000-59,999 0 20+
## 3443 3,000-3,999 > 100,000 3-5
## 3444 <NA> <NA> 1-2
## 3445 4,000-4,999 100-999 < 1
## 3446 10,000-14,999 100-999 1-2
## 3447 10,000-14,999 0 < 1
## 3448 100,000-124,999 100-999 5-10
## 3449 <NA> <NA> < 1
## 3450 <NA> <NA> 1-2
## 3451 0-999 0 1-2
## 3452 0-999 100-999 < 1
## 3453 <NA> <NA> 3-5
## 3454 25,000-29,999 0 10-20
## 3455 <NA> <NA> < 1
## 3456 15,000-19,999 0 10-20
## 3457 15,000-19,999 > 100,000 5-10
## 3458 150,000-199,999 > 100,000 3-5
## 3459 40,000-49,999 1000-9,999 3-5
## 3460 30,000-39,999 0 3-5
## 3461 80,000-89,999 1000-9,999 5-10
## 3462 <NA> <NA> < 1
## 3463 30,000-39,999 1000-9,999 3-5
## 3464 150,000-199,999 1000-9,999 3-5
## 3465 100,000-124,999 1000-9,999 5-10
## 3466 250,000-299,999 100-999 5-10
## 3467 4,000-4,999 0 < 1
## 3468 90,000-99,999 10,000-99,999 3-5
## 3469 10,000-14,999 100-999 < 1
## 3470 <NA> <NA> None
## 3471 1,000-1,999 > 100,000 3-5
## 3472 <NA> <NA> 1-2
## 3473 7,500-9,999 10,000-99,999 10-20
## 3474 60,000-69,999 0 < 1
## 3475 40,000-49,999 10,000-99,999 5-10
## 3476 1,000-1,999 1-99 < 1
## 3477 2,000-2,999 0 1-2
## 3478 <NA> <NA> < 1
## 3479 60,000-69,999 1-99 3-5
## 3480 1,000-1,999 1000-9,999 20+
## 3481 40,000-49,999 10,000-99,999 1-2
## 3482 <NA> <NA> < 1
## 3483 <NA> <NA> None
## 3484 40,000-49,999 0 None
## 3485 <NA> <NA> 20+
## 3486 30,000-39,999 100-999 5-10
## 3487 50,000-59,999 1000-9,999 10-20
## 3488 0-999 0 < 1
## 3489 50,000-59,999 0 3-5
## 3490 30,000-39,999 1000-9,999 5-10
## 3491 100,000-124,999 10,000-99,999 5-10
## 3492 40,000-49,999 100-999 3-5
## 3493 3,000-3,999 0 1-2
## 3494 20,000-24,999 0 < 1
## 3495 25,000-29,999 0 1-2
## 3496 <NA> <NA> < 1
## 3497 25,000-29,999 100-999 5-10
## 3498 <NA> <NA> < 1
## 3499 50,000-59,999 100-999 5-10
## 3500 250,000-299,999 100-999 10-20
## 3501 40,000-49,999 0 1-2
## 3502 3,000-3,999 100-999 1-2
## 3503 <NA> <NA> < 1
## 3504 <NA> <NA> < 1
## 3505 20,000-24,999 1-99 3-5
## 3506 15,000-19,999 100-999 1-2
## 3507 0-999 100-999 1-2
## 3508 <NA> <NA> 1-2
## 3509 3,000-3,999 1-99 3-5
## 3510 60,000-69,999 1-99 < 1
## 3511 30,000-39,999 1-99 3-5
## 3512 70,000-79,999 10,000-99,999 1-2
## 3513 15,000-19,999 0 1-2
## 3514 40,000-49,999 0 10-20
## 3515 15,000-19,999 1-99 5-10
## 3516 50,000-59,999 1000-9,999 10-20
## 3517 0-999 100-999 1-2
## 3518 4,000-4,999 0 3-5
## 3519 30,000-39,999 10,000-99,999 5-10
## 3520 <NA> <NA> < 1
## 3521 300,000-500,000 > 100,000 20+
## 3522 15,000-19,999 0 < 1
## 3523 2,000-2,999 1-99 3-5
## 3524 10,000-14,999 0 3-5
## 3525 15,000-19,999 1000-9,999 3-5
## 3526 25,000-29,999 0 < 1
## 3527 90,000-99,999 0 < 1
## 3528 20,000-24,999 0 < 1
## 3529 50,000-59,999 1-99 1-2
## 3530 40,000-49,999 0 3-5
## 3531 40,000-49,999 > 100,000 10-20
## 3532 <NA> <NA> < 1
## 3533 15,000-19,999 10,000-99,999 20+
## 3534 15,000-19,999 10,000-99,999 1-2
## 3535 70,000-79,999 1000-9,999 10-20
## 3536 50,000-59,999 1000-9,999 5-10
## 3537 1,000-1,999 1-99 < 1
## 3538 50,000-59,999 1000-9,999 20+
## 3539 <NA> <NA> 1-2
## 3540 50,000-59,999 0 < 1
## 3541 80,000-89,999 0 10-20
## 3542 15,000-19,999 1-99 1-2
## 3543 60,000-69,999 10,000-99,999 5-10
## 3544 40,000-49,999 1000-9,999 5-10
## 3545 15,000-19,999 100-999 None
## 3546 80,000-89,999 100-999 5-10
## 3547 20,000-24,999 1-99 3-5
## 3548 60,000-69,999 1000-9,999 3-5
## 3549 <NA> <NA> < 1
## 3550 60,000-69,999 1000-9,999 20+
## 3551 0-999 100-999 None
## 3552 3,000-3,999 100-999 < 1
## 3553 40,000-49,999 1000-9,999 3-5
## 3554 1,000-1,999 1-99 3-5
## 3555 40,000-49,999 100-999 3-5
## 3556 1,000-1,999 0 1-2
## 3557 <NA> <NA> < 1
## 3558 15,000-19,999 1000-9,999 1-2
## 3559 50,000-59,999 0 10-20
## 3560 <NA> <NA> 3-5
## 3561 <NA> <NA> 1-2
## 3562 10,000-14,999 1-99 3-5
## 3563 5,000-7,499 0 3-5
## 3564 15,000-19,999 100-999 10-20
## 3565 7,500-9,999 1000-9,999 1-2
## 3566 25,000-29,999 0 1-2
## 3567 50,000-59,999 10,000-99,999 10-20
## 3568 50,000-59,999 1000-9,999 1-2
## 3569 <NA> <NA> 3-5
## 3570 <NA> <NA> 1-2
## 3571 40,000-49,999 100-999 5-10
## 3572 0-999 0 < 1
## 3573 150,000-199,999 0 10-20
## 3574 200,000-249,999 10,000-99,999 5-10
## 3575 <NA> <NA> 3-5
## 3576 125,000-149,999 > 100,000 3-5
## 3577 15,000-19,999 100-999 1-2
## 3578 80,000-89,999 1000-9,999 3-5
## 3579 <NA> <NA> 1-2
## 3580 <NA> <NA> 1-2
## 3581 2,000-2,999 100-999 < 1
## 3582 40,000-49,999 > 100,000 1-2
## 3583 1,000-1,999 0 < 1
## 3584 20,000-24,999 100-999 None
## 3585 125,000-149,999 1000-9,999 1-2
## 3586 <NA> <NA> 1-2
## 3587 100,000-124,999 1000-9,999 5-10
## 3588 100,000-124,999 1000-9,999 10-20
## 3589 <NA> <NA> 1-2
## 3590 1,000-1,999 100-999 < 1
## 3591 25,000-29,999 100-999 3-5
## 3592 <NA> <NA> < 1
## 3593 <NA> <NA> < 1
## 3594 15,000-19,999 10,000-99,999 3-5
## 3595 3,000-3,999 0 1-2
## 3596 1,000-1,999 0 < 1
## 3597 <NA> <NA> < 1
## 3598 15,000-19,999 0 3-5
## 3599 100,000-124,999 > 100,000 20+
## 3600 2,000-2,999 0 1-2
## 3601 <NA> <NA> 3-5
## 3602 100,000-124,999 10,000-99,999 1-2
## 3603 30,000-39,999 100-999 3-5
## 3604 40,000-49,999 1-99 1-2
## 3605 60,000-69,999 1000-9,999 10-20
## 3606 10,000-14,999 100-999 3-5
## 3607 70,000-79,999 1-99 < 1
## 3608 1,000-1,999 1-99 < 1
## 3609 <NA> <NA> < 1
## 3610 40,000-49,999 0 1-2
## 3611 60,000-69,999 1-99 5-10
## 3612 <NA> <NA> 1-2
## 3613 40,000-49,999 1000-9,999 10-20
## 3614 25,000-29,999 > 100,000 5-10
## 3615 30,000-39,999 1000-9,999 3-5
## 3616 10,000-14,999 1000-9,999 5-10
## 3617 2,000-2,999 100-999 10-20
## 3618 15,000-19,999 1000-9,999 1-2
## 3619 <NA> <NA> 1-2
## 3620 <NA> <NA> 1-2
## 3621 0-999 1-99 3-5
## 3622 50,000-59,999 0 10-20
## 3623 <NA> <NA> < 1
## 3624 50,000-59,999 1000-9,999 1-2
## 3625 10,000-14,999 100-999 5-10
## 3626 30,000-39,999 1000-9,999 5-10
## 3627 60,000-69,999 0 10-20
## 3628 <NA> <NA> None
## 3629 <NA> <NA> < 1
## 3630 <NA> <NA> 1-2
## 3631 7,500-9,999 0 3-5
## 3632 125,000-149,999 100-999 5-10
## 3633 70,000-79,999 1000-9,999 20+
## 3634 0-999 1-99 < 1
## 3635 <NA> <NA> 1-2
## 3636 15,000-19,999 > 100,000 < 1
## 3637 <NA> <NA> 3-5
## 3638 100,000-124,999 100-999 5-10
## 3639 40,000-49,999 1000-9,999 3-5
## 3640 125,000-149,999 > 100,000 20+
## 3641 125,000-149,999 > 100,000 5-10
## 3642 90,000-99,999 0 5-10
## 3643 40,000-49,999 10,000-99,999 20+
## 3644 <NA> <NA> 1-2
## 3645 50,000-59,999 100-999 1-2
## 3646 0-999 0 3-5
## 3647 30,000-39,999 0 10-20
## 3648 40,000-49,999 10,000-99,999 < 1
## 3649 25,000-29,999 1000-9,999 1-2
## 3650 7,500-9,999 0 5-10
## 3651 25,000-29,999 100-999 3-5
## 3652 <NA> <NA> 3-5
## 3653 20,000-24,999 100-999 3-5
## 3654 10,000-14,999 1-99 3-5
## 3655 0-999 0 < 1
## 3656 40,000-49,999 0 10-20
## 3657 2,000-2,999 1000-9,999 1-2
## 3658 15,000-19,999 0 1-2
## 3659 <NA> <NA> 1-2
## 3660 20,000-24,999 1000-9,999 10-20
## 3661 15,000-19,999 0 3-5
## 3662 15,000-19,999 1000-9,999 10-20
## 3663 40,000-49,999 1000-9,999 None
## 3664 60,000-69,999 100-999 5-10
## 3665 <NA> <NA> None
## 3666 4,000-4,999 0 3-5
## 3667 40,000-49,999 100-999 1-2
## 3668 <NA> <NA> < 1
## 3669 <NA> <NA> 5-10
## 3670 50,000-59,999 10,000-99,999 3-5
## 3671 <NA> <NA> 1-2
## 3672 10,000-14,999 0 1-2
## 3673 <NA> <NA> < 1
## 3674 1,000-1,999 1000-9,999 1-2
## 3675 <NA> <NA> < 1
## 3676 <NA> <NA> < 1
## 3677 150,000-199,999 1000-9,999 5-10
## 3678 80,000-89,999 10,000-99,999 10-20
## 3679 30,000-39,999 0 1-2
## 3680 25,000-29,999 0 3-5
## 3681 4,000-4,999 100-999 3-5
## 3682 100,000-124,999 1000-9,999 3-5
## 3683 150,000-199,999 1000-9,999 5-10
## 3684 100,000-124,999 1000-9,999 20+
## 3685 50,000-59,999 > 100,000 1-2
## 3686 60,000-69,999 10,000-99,999 1-2
## 3687 40,000-49,999 0 3-5
## 3688 <NA> <NA> 1-2
## 3689 70,000-79,999 10,000-99,999 5-10
## 3690 90,000-99,999 > 100,000 5-10
## 3691 5,000-7,499 100-999 10-20
## 3692 250,000-299,999 10,000-99,999 10-20
## 3693 25,000-29,999 1000-9,999 5-10
## 3694 <NA> <NA> < 1
## 3695 <NA> <NA> < 1
## 3696 30,000-39,999 10,000-99,999 10-20
## 3697 125,000-149,999 > 100,000 5-10
## 3698 20,000-24,999 1-99 1-2
## 3699 30,000-39,999 10,000-99,999 5-10
## 3700 30,000-39,999 1000-9,999 20+
## 3701 15,000-19,999 0 1-2
## 3702 70,000-79,999 10,000-99,999 1-2
## 3703 30,000-39,999 100-999 3-5
## 3704 0-999 1-99 1-2
## 3705 30,000-39,999 1000-9,999 5-10
## 3706 125,000-149,999 1-99 5-10
## 3707 7,500-9,999 0 3-5
## 3708 40,000-49,999 0 5-10
## 3709 1,000-1,999 100-999 3-5
## 3710 30,000-39,999 0 5-10
## 3711 20,000-24,999 1-99 3-5
## 3712 50,000-59,999 1000-9,999 10-20
## 3713 <NA> <NA> < 1
## 3714 <NA> <NA> < 1
## 3715 80,000-89,999 1000-9,999 10-20
## 3716 150,000-199,999 > 100,000 10-20
## 3717 30,000-39,999 0 3-5
## 3718 30,000-39,999 100-999 5-10
## 3719 4,000-4,999 1000-9,999 3-5
## 3720 200,000-249,999 > 100,000 3-5
## 3721 90,000-99,999 10,000-99,999 10-20
## 3722 <NA> <NA> 3-5
## 3723 60,000-69,999 1000-9,999 5-10
## 3724 7,500-9,999 0 1-2
## 3725 2,000-2,999 100-999 < 1
## 3726 <NA> <NA> 1-2
## 3727 <NA> <NA> 1-2
## 3728 <NA> <NA> < 1
## 3729 50,000-59,999 1-99 1-2
## 3730 30,000-39,999 100-999 < 1
## 3731 <NA> <NA> < 1
## 3732 10,000-14,999 1-99 1-2
## 3733 2,000-2,999 0 1-2
## 3734 1,000-1,999 100-999 3-5
## 3735 <NA> <NA> < 1
## 3736 7,500-9,999 0 1-2
## 3737 50,000-59,999 1000-9,999 5-10
## 3738 15,000-19,999 100-999 5-10
## 3739 <NA> <NA> 1-2
## 3740 30,000-39,999 1000-9,999 5-10
## 3741 <NA> <NA> 1-2
## 3742 30,000-39,999 10,000-99,999 5-10
## 3743 0-999 100-999 < 1
## 3744 30,000-39,999 1-99 < 1
## 3745 40,000-49,999 1000-9,999 3-5
## 3746 50,000-59,999 1-99 3-5
## 3747 3,000-3,999 0 1-2
## 3748 40,000-49,999 1000-9,999 5-10
## 3749 25,000-29,999 0 5-10
## 3750 60,000-69,999 1000-9,999 10-20
## 3751 10,000-14,999 0 3-5
## 3752 40,000-49,999 0 < 1
## 3753 150,000-199,999 > 100,000 20+
## 3754 90,000-99,999 10,000-99,999 10-20
## 3755 100,000-124,999 1-99 10-20
## 3756 0-999 1-99 None
## 3757 100,000-124,999 10,000-99,999 10-20
## 3758 25,000-29,999 1000-9,999 1-2
## 3759 <NA> <NA> None
## 3760 20,000-24,999 1000-9,999 3-5
## 3761 150,000-199,999 0 20+
## 3762 20,000-24,999 0 1-2
## 3763 80,000-89,999 0 1-2
## 3764 100,000-124,999 1000-9,999 1-2
## 3765 <NA> <NA> None
## 3766 3,000-3,999 100-999 3-5
## 3767 10,000-14,999 0 None
## 3768 10,000-14,999 100-999 1-2
## 3769 <NA> <NA> 1-2
## 3770 25,000-29,999 0 < 1
## 3771 40,000-49,999 0 < 1
## 3772 7,500-9,999 1-99 1-2
## 3773 10,000-14,999 1-99 3-5
## 3774 30,000-39,999 0 5-10
## 3775 3,000-3,999 1000-9,999 1-2
## 3776 50,000-59,999 0 < 1
## 3777 3,000-3,999 100-999 1-2
## 3778 10,000-14,999 0 < 1
## 3779 50,000-59,999 > 100,000 3-5
## 3780 30,000-39,999 0 3-5
## 3781 50,000-59,999 0 5-10
## 3782 25,000-29,999 10,000-99,999 1-2
## 3783 30,000-39,999 0 < 1
## 3784 30,000-39,999 1-99 3-5
## 3785 <NA> <NA> < 1
## 3786 15,000-19,999 1-99 3-5
## 3787 5,000-7,499 1000-9,999 3-5
## 3788 30,000-39,999 > 100,000 < 1
## 3789 0-999 0 1-2
## 3790 40,000-49,999 1000-9,999 5-10
## 3791 40,000-49,999 100-999 10-20
## 3792 25,000-29,999 0 < 1
## 3793 70,000-79,999 1000-9,999 10-20
## 3794 60,000-69,999 100-999 5-10
## 3795 70,000-79,999 100-999 < 1
## 3796 <NA> <NA> 5-10
## 3797 25,000-29,999 1-99 < 1
## 3798 0-999 0 1-2
## 3799 0-999 100-999 < 1
## 3800 3,000-3,999 1-99 < 1
## 3801 60,000-69,999 10,000-99,999 < 1
## 3802 1,000-1,999 100-999 1-2
## 3803 20,000-24,999 1000-9,999 < 1
## 3804 15,000-19,999 100-999 1-2
## 3805 1,000-1,999 1-99 1-2
## 3806 125,000-149,999 1000-9,999 3-5
## 3807 20,000-24,999 0 < 1
## 3808 40,000-49,999 1-99 3-5
## 3809 1,000-1,999 1-99 3-5
## 3810 0-999 1-99 < 1
## 3811 80,000-89,999 10,000-99,999 3-5
## 3812 <NA> <NA> 1-2
## 3813 3,000-3,999 1000-9,999 5-10
## 3814 40,000-49,999 100-999 3-5
## 3815 7,500-9,999 1-99 < 1
## 3816 30,000-39,999 10,000-99,999 5-10
## 3817 100,000-124,999 1000-9,999 3-5
## 3818 <NA> <NA> < 1
## 3819 125,000-149,999 100-999 5-10
## 3820 <NA> <NA> < 1
## 3821 70,000-79,999 0 3-5
## 3822 100,000-124,999 0 < 1
## 3823 0-999 0 10-20
## 3824 100,000-124,999 1-99 5-10
## 3825 20,000-24,999 1000-9,999 1-2
## 3826 15,000-19,999 1000-9,999 1-2
## 3827 150,000-199,999 1-99 20+
## 3828 30,000-39,999 100-999 3-5
## 3829 0-999 0 < 1
## 3830 <NA> <NA> 1-2
## 3831 40,000-49,999 1000-9,999 1-2
## 3832 1,000-1,999 0 < 1
## 3833 50,000-59,999 1-99 < 1
## 3834 <NA> <NA> < 1
## 3835 60,000-69,999 10,000-99,999 1-2
## 3836 <NA> <NA> < 1
## 3837 5,000-7,499 0 1-2
## 3838 50,000-59,999 0 10-20
## 3839 25,000-29,999 0 3-5
## 3840 70,000-79,999 0 < 1
## 3841 2,000-2,999 0 5-10
## 3842 30,000-39,999 1000-9,999 3-5
## 3843 <NA> <NA> < 1
## 3844 90,000-99,999 1000-9,999 5-10
## 3845 4,000-4,999 1000-9,999 1-2
## 3846 <NA> <NA> < 1
## 3847 40,000-49,999 0 3-5
## 3848 40,000-49,999 0 1-2
## 3849 1,000-1,999 1-99 1-2
## 3850 <NA> <NA> < 1
## 3851 30,000-39,999 1-99 1-2
## 3852 50,000-59,999 10,000-99,999 5-10
## 3853 0-999 1-99 < 1
## 3854 20,000-24,999 1000-9,999 5-10
## 3855 <NA> <NA> 1-2
## 3856 10,000-14,999 10,000-99,999 3-5
## 3857 70,000-79,999 100-999 5-10
## 3858 2,000-2,999 100-999 1-2
## 3859 10,000-14,999 0 1-2
## 3860 60,000-69,999 10,000-99,999 3-5
## 3861 5,000-7,499 1000-9,999 None
## 3862 15,000-19,999 1000-9,999 1-2
## 3863 <NA> <NA> < 1
## 3864 0-999 100-999 3-5
## 3865 80,000-89,999 100-999 1-2
## 3866 80,000-89,999 1000-9,999 3-5
## 3867 60,000-69,999 0 3-5
## 3868 7,500-9,999 100-999 1-2
## 3869 <NA> <NA> 1-2
## 3870 70,000-79,999 1000-9,999 3-5
## 3871 <NA> <NA> < 1
## 3872 <NA> <NA> < 1
## 3873 30,000-39,999 100-999 1-2
## 3874 40,000-49,999 1000-9,999 5-10
## 3875 5,000-7,499 0 5-10
## 3876 80,000-89,999 > 100,000 3-5
## 3877 <NA> <NA> 1-2
## 3878 30,000-39,999 10,000-99,999 3-5
## 3879 <NA> <NA> < 1
## 3880 <NA> <NA> 1-2
## 3881 7,500-9,999 1-99 1-2
## 3882 70,000-79,999 > 100,000 10-20
## 3883 <NA> <NA> 1-2
## 3884 50,000-59,999 1000-9,999 3-5
## 3885 25,000-29,999 1000-9,999 3-5
## 3886 15,000-19,999 0 5-10
## 3887 <NA> <NA> < 1
## 3888 25,000-29,999 0 < 1
## 3889 50,000-59,999 1000-9,999 3-5
## 3890 <NA> <NA> < 1
## 3891 100,000-124,999 10,000-99,999 20+
## 3892 60,000-69,999 10,000-99,999 3-5
## 3893 5,000-7,499 100-999 None
## 3894 60,000-69,999 0 5-10
## 3895 <NA> <NA> 5-10
## 3896 7,500-9,999 0 None
## 3897 50,000-59,999 0 5-10
## 3898 <NA> <NA> < 1
## 3899 50,000-59,999 10,000-99,999 3-5
## 3900 25,000-29,999 1000-9,999 10-20
## 3901 3,000-3,999 1000-9,999 5-10
## 3902 <NA> <NA> 1-2
## 3903 <NA> <NA> 1-2
## 3904 50,000-59,999 1000-9,999 3-5
## 3905 20,000-24,999 100-999 1-2
## 3906 <NA> <NA> 3-5
## 3907 30,000-39,999 10,000-99,999 3-5
## 3908 40,000-49,999 > 100,000 10-20
## 3909 30,000-39,999 0 5-10
## 3910 0-999 1-99 None
## 3911 0-999 100-999 1-2
## 3912 7,500-9,999 100-999 1-2
## 3913 25,000-29,999 0 3-5
## 3914 5,000-7,499 100-999 1-2
## 3915 30,000-39,999 > 100,000 1-2
## 3916 125,000-149,999 10,000-99,999 5-10
## 3917 60,000-69,999 0 5-10
## 3918 > 500,000 0 None
## 3919 100,000-124,999 10,000-99,999 10-20
## 3920 1,000-1,999 100-999 1-2
## 3921 40,000-49,999 10,000-99,999 20+
## 3922 3,000-3,999 0 5-10
## 3923 4,000-4,999 0 < 1
## 3924 70,000-79,999 0 None
## 3925 25,000-29,999 1000-9,999 3-5
## 3926 0-999 0 None
## 3927 0-999 0 < 1
## 3928 30,000-39,999 0 1-2
## 3929 50,000-59,999 0 1-2
## 3930 50,000-59,999 0 1-2
## 3931 15,000-19,999 10,000-99,999 3-5
## 3932 60,000-69,999 100-999 3-5
## 3933 10,000-14,999 10,000-99,999 3-5
## 3934 2,000-2,999 100-999 1-2
## 3935 0-999 1-99 3-5
## 3936 3,000-3,999 0 1-2
## 3937 <NA> <NA> < 1
## 3938 10,000-14,999 > 100,000 1-2
## 3939 80,000-89,999 0 1-2
## 3940 5,000-7,499 100-999 < 1
## 3941 70,000-79,999 10,000-99,999 20+
## 3942 7,500-9,999 0 3-5
## 3943 <NA> <NA> < 1
## 3944 40,000-49,999 100-999 3-5
## 3945 40,000-49,999 1000-9,999 3-5
## 3946 4,000-4,999 0 < 1
## 3947 4,000-4,999 0 3-5
## 3948 40,000-49,999 10,000-99,999 3-5
## 3949 15,000-19,999 0 3-5
## 3950 <NA> <NA> < 1
## 3951 <NA> <NA> < 1
## 3952 15,000-19,999 100-999 1-2
## 3953 4,000-4,999 0 3-5
## 3954 4,000-4,999 0 5-10
## 3955 <NA> <NA> 3-5
## 3956 0-999 0 3-5
## 3957 40,000-49,999 100-999 1-2
## 3958 <NA> <NA> None
## 3959 40,000-49,999 1-99 1-2
## 3960 80,000-89,999 0 20+
## 3961 0-999 0 1-2
## 3962 90,000-99,999 > 100,000 3-5
## 3963 125,000-149,999 0 5-10
## 3964 <NA> <NA> < 1
## 3965 1,000-1,999 10,000-99,999 1-2
## 3966 30,000-39,999 0 5-10
## 3967 70,000-79,999 100-999 10-20
## 3968 <NA> <NA> 1-2
## 3969 0-999 0 3-5
## 3970 1,000-1,999 100-999 1-2
## 3971 60,000-69,999 1000-9,999 < 1
## 3972 150,000-199,999 100-999 20+
## 3973 30,000-39,999 0 20+
## 3974 25,000-29,999 100-999 1-2
## 3975 60,000-69,999 0 1-2
## 3976 4,000-4,999 1000-9,999 5-10
## 3977 30,000-39,999 1-99 < 1
## 3978 0-999 100-999 5-10
## 3979 1,000-1,999 100-999 1-2
## 3980 50,000-59,999 0 None
## 3981 0-999 100-999 < 1
## 3982 90,000-99,999 0 5-10
## 3983 0-999 0 < 1
## 3984 <NA> <NA> None
## 3985 60,000-69,999 100-999 3-5
## 3986 <NA> <NA> 3-5
## 3987 40,000-49,999 > 100,000 5-10
## 3988 <NA> <NA> < 1
## 3989 3,000-3,999 0 < 1
## 3990 50,000-59,999 1000-9,999 5-10
## 3991 40,000-49,999 > 100,000 5-10
## 3992 80,000-89,999 1000-9,999 < 1
## 3993 30,000-39,999 1000-9,999 3-5
## 3994 60,000-69,999 0 1-2
## 3995 60,000-69,999 10,000-99,999 5-10
## 3996 3,000-3,999 0 1-2
## 3997 <NA> <NA> 1-2
## 3998 10,000-14,999 10,000-99,999 10-20
## 3999 40,000-49,999 0 1-2
## 4000 30,000-39,999 0 5-10
## 4001 1,000-1,999 100-999 3-5
## 4002 5,000-7,499 0 < 1
## 4003 1,000-1,999 100-999 < 1
## 4004 30,000-39,999 1000-9,999 10-20
## 4005 90,000-99,999 1000-9,999 10-20
## 4006 30,000-39,999 10,000-99,999 3-5
## 4007 4,000-4,999 1-99 1-2
## 4008 15,000-19,999 100-999 3-5
## 4009 3,000-3,999 0 1-2
## 4010 <NA> <NA> None
## 4011 <NA> <NA> < 1
## 4012 <NA> <NA> < 1
## 4013 <NA> <NA> 3-5
## 4014 0-999 1-99 1-2
## 4015 70,000-79,999 10,000-99,999 3-5
## 4016 0-999 1-99 3-5
## 4017 200,000-249,999 0 10-20
## 4018 1,000-1,999 0 < 1
## 4019 <NA> <NA> 10-20
## 4020 30,000-39,999 10,000-99,999 5-10
## 4021 50,000-59,999 1000-9,999 20+
## 4022 50,000-59,999 1000-9,999 3-5
## 4023 15,000-19,999 0 < 1
## 4024 25,000-29,999 1-99 1-2
## 4025 30,000-39,999 100-999 3-5
## 4026 70,000-79,999 100-999 3-5
## 4027 90,000-99,999 > 100,000 5-10
## 4028 2,000-2,999 100-999 None
## 4029 30,000-39,999 1000-9,999 3-5
## 4030 30,000-39,999 0 1-2
## 4031 4,000-4,999 100-999 3-5
## 4032 7,500-9,999 10,000-99,999 3-5
## 4033 7,500-9,999 100-999 None
## 4034 15,000-19,999 0 < 1
## 4035 50,000-59,999 100-999 3-5
## 4036 40,000-49,999 0 5-10
## 4037 1,000-1,999 100-999 1-2
## 4038 <NA> <NA> 1-2
## 4039 25,000-29,999 100-999 20+
## 4040 0-999 1-99 1-2
## 4041 30,000-39,999 > 100,000 5-10
## 4042 70,000-79,999 > 100,000 20+
## 4043 60,000-69,999 1000-9,999 5-10
## 4044 <NA> <NA> 1-2
## 4045 <NA> <NA> 20+
## 4046 10,000-14,999 1-99 < 1
## 4047 60,000-69,999 1000-9,999 5-10
## 4048 <NA> <NA> 1-2
## 4049 <NA> <NA> 3-5
## 4050 0-999 1-99 1-2
## 4051 25,000-29,999 10,000-99,999 5-10
## 4052 5,000-7,499 100-999 < 1
## 4053 1,000-1,999 1-99 5-10
## 4054 20,000-24,999 100-999 1-2
## 4055 40,000-49,999 100-999 1-2
## 4056 0-999 0 3-5
## 4057 7,500-9,999 > 100,000 < 1
## 4058 70,000-79,999 0 10-20
## 4059 7,500-9,999 0 < 1
## 4060 40,000-49,999 100-999 3-5
## 4061 125,000-149,999 1000-9,999 10-20
## 4062 5,000-7,499 100-999 1-2
## 4063 10,000-14,999 1000-9,999 1-2
## 4064 30,000-39,999 0 20+
## 4065 <NA> <NA> 1-2
## 4066 0-999 1000-9,999 None
## 4067 40,000-49,999 1000-9,999 3-5
## 4068 0-999 0 1-2
## 4069 25,000-29,999 0 5-10
## 4070 10,000-14,999 1-99 5-10
## 4071 <NA> <NA> None
## 4072 50,000-59,999 > 100,000 5-10
## 4073 2,000-2,999 0 1-2
## 4074 5,000-7,499 100-999 3-5
## 4075 <NA> <NA> < 1
## 4076 0-999 0 1-2
## 4077 7,500-9,999 0 3-5
## 4078 40,000-49,999 0 5-10
## 4079 10,000-14,999 0 3-5
## 4080 60,000-69,999 0 3-5
## 4081 0-999 0 < 1
## 4082 <NA> <NA> < 1
## 4083 <NA> <NA> 5-10
## 4084 10,000-14,999 0 1-2
## 4085 10,000-14,999 1000-9,999 5-10
## 4086 0-999 100-999 < 1
## 4087 30,000-39,999 10,000-99,999 5-10
## 4088 50,000-59,999 1-99 1-2
## 4089 1,000-1,999 1-99 3-5
## 4090 4,000-4,999 1-99 5-10
## 4091 1,000-1,999 10,000-99,999 1-2
## 4092 70,000-79,999 0 3-5
## 4093 <NA> <NA> < 1
## 4094 30,000-39,999 0 3-5
## 4095 <NA> <NA> < 1
## 4096 4,000-4,999 0 < 1
## 4097 <NA> <NA> 3-5
## 4098 40,000-49,999 100-999 3-5
## 4099 30,000-39,999 1-99 1-2
## 4100 50,000-59,999 100-999 1-2
## 4101 40,000-49,999 > 100,000 5-10
## 4102 <NA> <NA> 5-10
## 4103 0-999 0 None
## 4104 25,000-29,999 1000-9,999 3-5
## 4105 <NA> <NA> 1-2
## 4106 <NA> <NA> 1-2
## 4107 0-999 0 3-5
## 4108 0-999 0 < 1
## 4109 <NA> <NA> < 1
## 4110 30,000-39,999 0 5-10
## 4111 25,000-29,999 0 1-2
## 4112 7,500-9,999 100-999 < 1
## 4113 2,000-2,999 100-999 1-2
## 4114 70,000-79,999 1-99 3-5
## 4115 200,000-249,999 10,000-99,999 20+
## 4116 0-999 0 1-2
## 4117 10,000-14,999 10,000-99,999 3-5
## 4118 10,000-14,999 1000-9,999 3-5
## 4119 10,000-14,999 0 1-2
## 4120 2,000-2,999 0 3-5
## 4121 10,000-14,999 1000-9,999 1-2
## 4122 15,000-19,999 1-99 3-5
## 4123 50,000-59,999 100-999 1-2
## 4124 30,000-39,999 0 3-5
## 4125 <NA> <NA> 1-2
## 4126 25,000-29,999 100-999 5-10
## 4127 5,000-7,499 0 < 1
## 4128 0-999 0 1-2
## 4129 30,000-39,999 0 5-10
## 4130 <NA> <NA> < 1
## 4131 <NA> <NA> 3-5
## 4132 <NA> <NA> < 1
## 4133 <NA> <NA> 1-2
## 4134 40,000-49,999 1000-9,999 20+
## 4135 7,500-9,999 0 1-2
## 4136 0-999 0 None
## 4137 <NA> <NA> < 1
## 4138 10,000-14,999 100-999 3-5
## 4139 0-999 1-99 1-2
## 4140 50,000-59,999 0 5-10
## 4141 <NA> <NA> None
## 4142 <NA> <NA> < 1
## 4143 60,000-69,999 10,000-99,999 3-5
## 4144 <NA> <NA> 1-2
## 4145 <NA> <NA> 1-2
## 4146 7,500-9,999 10,000-99,999 < 1
## 4147 10,000-14,999 1-99 3-5
## 4148 15,000-19,999 0 None
## 4149 <NA> <NA> 5-10
## 4150 <NA> <NA> < 1
## 4151 <NA> <NA> 3-5
## 4152 <NA> <NA> < 1
## 4153 0-999 0 < 1
## 4154 <NA> <NA> 3-5
## 4155 2,000-2,999 1000-9,999 1-2
## 4156 80,000-89,999 100-999 20+
## 4157 <NA> <NA> None
## 4158 80,000-89,999 100-999 10-20
## 4159 <NA> <NA> 3-5
## 4160 10,000-14,999 1000-9,999 5-10
## 4161 <NA> <NA> < 1
## 4162 7,500-9,999 0 < 1
## 4163 <NA> <NA> 5-10
## 4164 125,000-149,999 0 3-5
## 4165 7,500-9,999 0 1-2
## 4166 30,000-39,999 0 1-2
## 4167 2,000-2,999 0 1-2
## 4168 30,000-39,999 1000-9,999 3-5
## 4169 <NA> <NA> 1-2
## 4170 10,000-14,999 1-99 1-2
## 4171 20,000-24,999 0 10-20
## 4172 5,000-7,499 0 1-2
## 4173 10,000-14,999 100-999 3-5
## 4174 0-999 0 < 1
## 4175 20,000-24,999 10,000-99,999 10-20
## 4176 25,000-29,999 100-999 3-5
## 4177 50,000-59,999 > 100,000 5-10
## 4178 <NA> <NA> None
## 4179 150,000-199,999 10,000-99,999 < 1
## 4180 0-999 100-999 < 1
## 4181 250,000-299,999 1000-9,999 5-10
## 4182 2,000-2,999 0 1-2
## 4183 30,000-39,999 0 3-5
## 4184 <NA> <NA> < 1
## 4185 4,000-4,999 1000-9,999 None
## 4186 30,000-39,999 100-999 5-10
## 4187 7,500-9,999 100-999 1-2
## 4188 <NA> <NA> 3-5
## 4189 30,000-39,999 0 5-10
## 4190 50,000-59,999 100-999 5-10
## 4191 15,000-19,999 1-99 1-2
## 4192 0-999 0 < 1
## 4193 10,000-14,999 0 1-2
## 4194 30,000-39,999 0 5-10
## 4195 40,000-49,999 100-999 3-5
## 4196 70,000-79,999 0 5-10
## 4197 40,000-49,999 0 < 1
## 4198 0-999 100-999 1-2
## 4199 70,000-79,999 1000-9,999 5-10
## 4200 <NA> <NA> 1-2
## 4201 90,000-99,999 > 100,000 5-10
## 4202 15,000-19,999 0 5-10
## 4203 <NA> <NA> < 1
## 4204 <NA> <NA> < 1
## 4205 60,000-69,999 0 3-5
## 4206 <NA> <NA> None
## 4207 <NA> <NA> 1-2
## 4208 125,000-149,999 1000-9,999 5-10
## 4209 125,000-149,999 100-999 10-20
## 4210 7,500-9,999 10,000-99,999 1-2
## 4211 5,000-7,499 1-99 < 1
## 4212 30,000-39,999 100-999 3-5
## 4213 50,000-59,999 1000-9,999 20+
## 4214 80,000-89,999 1000-9,999 5-10
## 4215 1,000-1,999 0 3-5
## 4216 90,000-99,999 0 1-2
## 4217 <NA> <NA> < 1
## 4218 50,000-59,999 1-99 1-2
## 4219 50,000-59,999 1000-9,999 1-2
## 4220 7,500-9,999 1000-9,999 None
## 4221 15,000-19,999 0 1-2
## 4222 0-999 0 3-5
## 4223 100,000-124,999 100-999 1-2
## 4224 2,000-2,999 100-999 < 1
## 4225 20,000-24,999 0 10-20
## 4226 15,000-19,999 100-999 1-2
## 4227 <NA> <NA> 1-2
## 4228 <NA> <NA> < 1
## 4229 5,000-7,499 0 None
## 4230 3,000-3,999 0 None
## 4231 60,000-69,999 1000-9,999 3-5
## 4232 90,000-99,999 10,000-99,999 3-5
## 4233 40,000-49,999 100-999 3-5
## 4234 <NA> <NA> < 1
## 4235 200,000-249,999 > 100,000 20+
## 4236 15,000-19,999 1000-9,999 1-2
## 4237 1,000-1,999 1-99 None
## 4238 <NA> <NA> 20+
## 4239 <NA> <NA> < 1
## 4240 50,000-59,999 100-999 5-10
## 4241 60,000-69,999 10,000-99,999 < 1
## 4242 <NA> <NA> 1-2
## 4243 150,000-199,999 1000-9,999 10-20
## 4244 4,000-4,999 100-999 3-5
## 4245 60,000-69,999 > 100,000 10-20
## 4246 70,000-79,999 0 1-2
## 4247 3,000-3,999 100-999 1-2
## 4248 0-999 0 None
## 4249 60,000-69,999 1-99 5-10
## 4250 <NA> <NA> None
## 4251 50,000-59,999 100-999 5-10
## 4252 30,000-39,999 100-999 3-5
## 4253 60,000-69,999 > 100,000 3-5
## 4254 1,000-1,999 1-99 1-2
## 4255 <NA> <NA> 1-2
## 4256 0-999 0 1-2
## 4257 10,000-14,999 > 100,000 < 1
## 4258 1,000-1,999 0 < 1
## 4259 5,000-7,499 1000-9,999 None
## 4260 15,000-19,999 100-999 1-2
## 4261 50,000-59,999 1000-9,999 10-20
## 4262 30,000-39,999 0 3-5
## 4263 <NA> <NA> 20+
## 4264 5,000-7,499 > 100,000 < 1
## 4265 100,000-124,999 100-999 1-2
## 4266 40,000-49,999 0 1-2
## 4267 0-999 1-99 3-5
## 4268 7,500-9,999 0 < 1
## 4269 <NA> <NA> < 1
## 4270 30,000-39,999 0 5-10
## 4271 > 500,000 > 100,000 20+
## 4272 0-999 1-99 3-5
## 4273 <NA> <NA> 3-5
## 4274 <NA> <NA> 1-2
## 4275 <NA> <NA> 10-20
## 4276 <NA> <NA> < 1
## 4277 0-999 0 1-2
## 4278 <NA> <NA> < 1
## 4279 <NA> <NA> < 1
## 4280 0-999 0 5-10
## 4281 <NA> <NA> < 1
## 4282 7,500-9,999 1-99 1-2
## 4283 50,000-59,999 10,000-99,999 10-20
## 4284 90,000-99,999 0 None
## 4285 70,000-79,999 1000-9,999 10-20
## 4286 1,000-1,999 1-99 < 1
## 4287 40,000-49,999 0 10-20
## 4288 125,000-149,999 0 1-2
## 4289 20,000-24,999 0 5-10
## 4290 4,000-4,999 0 1-2
## 4291 20,000-24,999 0 < 1
## 4292 1,000-1,999 1-99 1-2
## 4293 90,000-99,999 1000-9,999 3-5
## 4294 4,000-4,999 0 < 1
## 4295 <NA> <NA> < 1
## 4296 <NA> <NA> 1-2
## 4297 10,000-14,999 100-999 < 1
## 4298 40,000-49,999 > 100,000 3-5
## 4299 70,000-79,999 10,000-99,999 10-20
## 4300 25,000-29,999 100-999 5-10
## 4301 30,000-39,999 1000-9,999 10-20
## 4302 <NA> <NA> < 1
## 4303 <NA> <NA> 1-2
## 4304 15,000-19,999 100-999 3-5
## 4305 0-999 100-999 1-2
## 4306 2,000-2,999 100-999 1-2
## 4307 150,000-199,999 0 None
## 4308 25,000-29,999 10,000-99,999 3-5
## 4309 20,000-24,999 1000-9,999 5-10
## 4310 <NA> <NA> < 1
## 4311 <NA> <NA> 20+
## 4312 30,000-39,999 1000-9,999 < 1
## 4313 30,000-39,999 0 5-10
## 4314 3,000-3,999 0 3-5
## 4315 <NA> <NA> 1-2
## 4316 7,500-9,999 1-99 < 1
## 4317 <NA> <NA> < 1
## 4318 125,000-149,999 0 3-5
## 4319 15,000-19,999 10,000-99,999 1-2
## 4320 40,000-49,999 0 5-10
## 4321 10,000-14,999 100-999 None
## 4322 40,000-49,999 0 < 1
## 4323 7,500-9,999 0 < 1
## 4324 125,000-149,999 10,000-99,999 20+
## 4325 70,000-79,999 100-999 5-10
## 4326 20,000-24,999 0 < 1
## 4327 20,000-24,999 0 1-2
## 4328 150,000-199,999 10,000-99,999 5-10
## 4329 1,000-1,999 0 < 1
## 4330 4,000-4,999 0 5-10
## 4331 5,000-7,499 0 1-2
## 4332 40,000-49,999 0 3-5
## 4333 0-999 100-999 1-2
## 4334 <NA> <NA> 3-5
## 4335 3,000-3,999 0 1-2
## 4336 40,000-49,999 0 None
## 4337 40,000-49,999 10,000-99,999 1-2
## 4338 50,000-59,999 0 3-5
## 4339 10,000-14,999 100-999 3-5
## 4340 30,000-39,999 0 10-20
## 4341 40,000-49,999 0 3-5
## 4342 10,000-14,999 1-99 1-2
## 4343 40,000-49,999 0 5-10
## 4344 5,000-7,499 0 < 1
## 4345 <NA> <NA> 1-2
## 4346 100,000-124,999 1000-9,999 20+
## 4347 70,000-79,999 1000-9,999 10-20
## 4348 1,000-1,999 0 3-5
## 4349 100,000-124,999 10,000-99,999 20+
## 4350 80,000-89,999 > 100,000 3-5
## 4351 5,000-7,499 1000-9,999 3-5
## 4352 4,000-4,999 100-999 < 1
## 4353 <NA> <NA> 1-2
## 4354 0-999 0 1-2
## 4355 90,000-99,999 1000-9,999 5-10
## 4356 40,000-49,999 10,000-99,999 3-5
## 4357 0-999 0 1-2
## 4358 0-999 100-999 1-2
## 4359 80,000-89,999 0 3-5
## 4360 60,000-69,999 1-99 3-5
## 4361 100,000-124,999 0 3-5
## 4362 60,000-69,999 0 10-20
## 4363 50,000-59,999 1000-9,999 10-20
## 4364 3,000-3,999 1-99 1-2
## 4365 25,000-29,999 0 < 1
## 4366 <NA> <NA> 1-2
## 4367 15,000-19,999 100-999 1-2
## 4368 <NA> <NA> 1-2
## 4369 20,000-24,999 0 None
## 4370 10,000-14,999 0 1-2
## 4371 1,000-1,999 100-999 None
## 4372 125,000-149,999 > 100,000 10-20
## 4373 125,000-149,999 10,000-99,999 5-10
## 4374 0-999 0 3-5
## 4375 150,000-199,999 > 100,000 10-20
## 4376 10,000-14,999 0 None
## 4377 7,500-9,999 100-999 5-10
## 4378 250,000-299,999 > 100,000 20+
## 4379 10,000-14,999 0 None
## 4380 30,000-39,999 0 3-5
## 4381 0-999 0 5-10
## 4382 5,000-7,499 1000-9,999 < 1
## 4383 100,000-124,999 10,000-99,999 3-5
## 4384 <NA> <NA> 1-2
## 4385 25,000-29,999 > 100,000 3-5
## 4386 3,000-3,999 0 < 1
## 4387 3,000-3,999 0 1-2
## 4388 4,000-4,999 100-999 1-2
## 4389 <NA> <NA> 1-2
## 4390 0-999 10,000-99,999 < 1
## 4391 <NA> <NA> 3-5
## 4392 0-999 0 < 1
## 4393 <NA> <NA> < 1
## 4394 0-999 1-99 < 1
## 4395 25,000-29,999 1-99 1-2
## 4396 <NA> <NA> < 1
## 4397 30,000-39,999 0 1-2
## 4398 <NA> <NA> < 1
## 4399 30,000-39,999 1000-9,999 3-5
## 4400 <NA> <NA> None
## 4401 <NA> <NA> 3-5
## 4402 40,000-49,999 > 100,000 3-5
## 4403 <NA> <NA> None
## 4404 25,000-29,999 100-999 1-2
## 4405 2,000-2,999 100-999 1-2
## 4406 0-999 10,000-99,999 1-2
## 4407 15,000-19,999 10,000-99,999 3-5
## 4408 0-999 1-99 < 1
## 4409 <NA> <NA> 3-5
## 4410 <NA> <NA> < 1
## 4411 15,000-19,999 0 1-2
## 4412 5,000-7,499 1-99 1-2
## 4413 40,000-49,999 1000-9,999 3-5
## 4414 0-999 100-999 < 1
## 4415 <NA> <NA> < 1
## 4416 30,000-39,999 0 1-2
## 4417 7,500-9,999 100-999 1-2
## 4418 5,000-7,499 1-99 1-2
## 4419 10,000-14,999 0 < 1
## 4420 <NA> <NA> < 1
## 4421 100,000-124,999 10,000-99,999 3-5
## 4422 60,000-69,999 0 1-2
## 4423 100,000-124,999 100-999 3-5
## 4424 <NA> <NA> < 1
## 4425 25,000-29,999 100-999 1-2
## 4426 <NA> <NA> 3-5
## 4427 <NA> <NA> <NA>
## 4428 40,000-49,999 100-999 10-20
## 4429 50,000-59,999 0 1-2
## 4430 100,000-124,999 1-99 10-20
## 4431 1,000-1,999 1-99 < 1
## 4432 <NA> <NA> 3-5
## 4433 <NA> <NA> < 1
## 4434 125,000-149,999 0 3-5
## 4435 <NA> <NA> 1-2
## 4436 0-999 0 1-2
## 4437 5,000-7,499 0 1-2
## 4438 1,000-1,999 100-999 < 1
## 4439 10,000-14,999 > 100,000 3-5
## 4440 100,000-124,999 0 3-5
## 4441 1,000-1,999 100-999 5-10
## 4442 <NA> <NA> < 1
## 4443 100,000-124,999 > 100,000 < 1
## 4444 <NA> <NA> < 1
## 4445 80,000-89,999 100-999 5-10
## 4446 100,000-124,999 > 100,000 5-10
## 4447 40,000-49,999 0 1-2
## 4448 0-999 0 < 1
## 4449 <NA> <NA> < 1
## 4450 30,000-39,999 100-999 1-2
## 4451 10,000-14,999 0 3-5
## 4452 100,000-124,999 10,000-99,999 5-10
## 4453 0-999 0 < 1
## 4454 0-999 0 < 1
## 4455 100,000-124,999 > 100,000 10-20
## 4456 100,000-124,999 1000-9,999 5-10
## 4457 20,000-24,999 100-999 3-5
## 4458 40,000-49,999 10,000-99,999 3-5
## 4459 0-999 100-999 < 1
## 4460 25,000-29,999 0 < 1
## 4461 7,500-9,999 100-999 < 1
## 4462 10,000-14,999 0 5-10
## 4463 125,000-149,999 0 1-2
## 4464 7,500-9,999 0 None
## 4465 10,000-14,999 > 100,000 1-2
## 4466 0-999 0 1-2
## 4467 1,000-1,999 100-999 5-10
## 4468 <NA> <NA> 1-2
## 4469 0-999 100-999 3-5
## 4470 250,000-299,999 0 None
## 4471 4,000-4,999 100-999 3-5
## 4472 125,000-149,999 100-999 5-10
## 4473 <NA> <NA> < 1
## 4474 90,000-99,999 1000-9,999 20+
## 4475 <NA> <NA> < 1
## 4476 60,000-69,999 100-999 1-2
## 4477 80,000-89,999 0 3-5
## 4478 80,000-89,999 1000-9,999 3-5
## 4479 10,000-14,999 0 1-2
## 4480 30,000-39,999 > 100,000 3-5
## 4481 20,000-24,999 10,000-99,999 3-5
## 4482 40,000-49,999 0 10-20
## 4483 70,000-79,999 1000-9,999 20+
## 4484 100,000-124,999 100-999 1-2
## 4485 40,000-49,999 100-999 None
## 4486 10,000-14,999 0 1-2
## 4487 <NA> <NA> 1-2
## 4488 25,000-29,999 1000-9,999 5-10
## 4489 10,000-14,999 0 < 1
## 4490 40,000-49,999 10,000-99,999 1-2
## 4491 7,500-9,999 100-999 < 1
## 4492 <NA> <NA> 3-5
## 4493 20,000-24,999 0 None
## 4494 30,000-39,999 1000-9,999 1-2
## 4495 1,000-1,999 100-999 < 1
## 4496 <NA> <NA> < 1
## 4497 100,000-124,999 1000-9,999 1-2
## 4498 <NA> <NA> 1-2
## 4499 0-999 1000-9,999 3-5
## 4500 150,000-199,999 0 3-5
## 4501 20,000-24,999 100-999 3-5
## 4502 40,000-49,999 100-999 3-5
## 4503 20,000-24,999 10,000-99,999 1-2
## 4504 10,000-14,999 1000-9,999 None
## 4505 <NA> <NA> < 1
## 4506 30,000-39,999 100-999 5-10
## 4507 1,000-1,999 0 None
## 4508 100,000-124,999 0 10-20
## 4509 70,000-79,999 100-999 5-10
## 4510 <NA> <NA> 1-2
## 4511 <NA> <NA> 1-2
## 4512 15,000-19,999 > 100,000 3-5
## 4513 30,000-39,999 100-999 < 1
## 4514 <NA> <NA> < 1
## 4515 5,000-7,499 100-999 < 1
## 4516 100,000-124,999 1000-9,999 3-5
## 4517 2,000-2,999 0 3-5
## 4518 100,000-124,999 0 < 1
## 4519 50,000-59,999 1000-9,999 20+
## 4520 30,000-39,999 0 3-5
## 4521 10,000-14,999 100-999 1-2
## 4522 10,000-14,999 1000-9,999 5-10
## 4523 <NA> <NA> 1-2
## 4524 15,000-19,999 0 3-5
## 4525 30,000-39,999 0 1-2
## 4526 90,000-99,999 100-999 3-5
## 4527 200,000-249,999 > 100,000 20+
## 4528 3,000-3,999 1-99 3-5
## 4529 10,000-14,999 1-99 < 1
## 4530 40,000-49,999 100-999 3-5
## 4531 4,000-4,999 1000-9,999 5-10
## 4532 90,000-99,999 0 5-10
## 4533 10,000-14,999 0 3-5
## 4534 2,000-2,999 10,000-99,999 3-5
## 4535 <NA> <NA> 1-2
## 4536 50,000-59,999 0 10-20
## 4537 40,000-49,999 0 3-5
## 4538 90,000-99,999 10,000-99,999 3-5
## 4539 150,000-199,999 > 100,000 20+
## 4540 5,000-7,499 100-999 None
## 4541 1,000-1,999 100-999 1-2
## 4542 40,000-49,999 100-999 3-5
## 4543 7,500-9,999 1000-9,999 1-2
## 4544 <NA> <NA> < 1
## 4545 70,000-79,999 10,000-99,999 10-20
## 4546 80,000-89,999 10,000-99,999 3-5
## 4547 30,000-39,999 0 20+
## 4548 30,000-39,999 1-99 10-20
## 4549 60,000-69,999 100-999 < 1
## 4550 <NA> <NA> 1-2
## 4551 20,000-24,999 1000-9,999 None
## 4552 40,000-49,999 > 100,000 1-2
## 4553 <NA> <NA> < 1
## 4554 15,000-19,999 0 3-5
## 4555 125,000-149,999 1000-9,999 10-20
## 4556 25,000-29,999 10,000-99,999 5-10
## 4557 150,000-199,999 > 100,000 10-20
## 4558 0-999 100-999 < 1
## 4559 100,000-124,999 0 5-10
## 4560 20,000-24,999 0 5-10
## 4561 0-999 1-99 None
## 4562 <NA> <NA> < 1
## 4563 10,000-14,999 0 3-5
## 4564 10,000-14,999 1000-9,999 3-5
## 4565 50,000-59,999 10,000-99,999 3-5
## 4566 70,000-79,999 100-999 20+
## 4567 60,000-69,999 1000-9,999 10-20
## 4568 <NA> <NA> 1-2
## 4569 30,000-39,999 0 3-5
## 4570 15,000-19,999 0 < 1
## 4571 1,000-1,999 0 1-2
## 4572 3,000-3,999 10,000-99,999 3-5
## 4573 40,000-49,999 0 1-2
## 4574 10,000-14,999 0 5-10
## 4575 0-999 100-999 1-2
## 4576 <NA> <NA> < 1
## 4577 60,000-69,999 1000-9,999 5-10
## 4578 <NA> <NA> 1-2
## 4579 25,000-29,999 0 1-2
## 4580 <NA> <NA> 3-5
## 4581 40,000-49,999 0 1-2
## 4582 0-999 0 3-5
## 4583 <NA> <NA> < 1
## 4584 20,000-24,999 1000-9,999 1-2
## 4585 30,000-39,999 1000-9,999 3-5
## 4586 <NA> <NA> < 1
## 4587 <NA> <NA> 5-10
## 4588 30,000-39,999 1000-9,999 None
## 4589 1,000-1,999 100-999 3-5
## 4590 0-999 1-99 < 1
## 4591 300,000-500,000 1000-9,999 10-20
## 4592 <NA> <NA> < 1
## 4593 0-999 0 1-2
## 4594 <NA> <NA> < 1
## 4595 30,000-39,999 1000-9,999 < 1
## 4596 40,000-49,999 10,000-99,999 5-10
## 4597 <NA> <NA> None
## 4598 <NA> <NA> < 1
## 4599 25,000-29,999 1000-9,999 1-2
## 4600 15,000-19,999 100-999 3-5
## 4601 2,000-2,999 100-999 1-2
## 4602 <NA> <NA> < 1
## 4603 70,000-79,999 > 100,000 1-2
## 4604 20,000-24,999 0 5-10
## 4605 2,000-2,999 0 5-10
## 4606 0-999 100-999 < 1
## 4607 4,000-4,999 0 < 1
## 4608 10,000-14,999 100-999 1-2
## 4609 60,000-69,999 100-999 3-5
## 4610 25,000-29,999 1000-9,999 < 1
## 4611 70,000-79,999 0 10-20
## 4612 125,000-149,999 0 3-5
## 4613 30,000-39,999 100-999 20+
## 4614 50,000-59,999 10,000-99,999 5-10
## 4615 0-999 0 10-20
## 4616 150,000-199,999 10,000-99,999 5-10
## 4617 0-999 1-99 3-5
## 4618 0-999 100-999 1-2
## 4619 80,000-89,999 0 1-2
## 4620 125,000-149,999 1000-9,999 3-5
## 4621 50,000-59,999 0 3-5
## 4622 <NA> <NA> < 1
## 4623 150,000-199,999 > 100,000 10-20
## 4624 40,000-49,999 10,000-99,999 3-5
## 4625 80,000-89,999 1000-9,999 10-20
## 4626 70,000-79,999 1000-9,999 1-2
## 4627 3,000-3,999 0 20+
## 4628 1,000-1,999 0 1-2
## 4629 <NA> <NA> < 1
## 4630 <NA> <NA> < 1
## 4631 150,000-199,999 10,000-99,999 5-10
## 4632 100,000-124,999 0 5-10
## 4633 30,000-39,999 1000-9,999 3-5
## 4634 30,000-39,999 1000-9,999 3-5
## 4635 7,500-9,999 1-99 1-2
## 4636 1,000-1,999 1-99 1-2
## 4637 200,000-249,999 > 100,000 None
## 4638 10,000-14,999 0 < 1
## 4639 <NA> <NA> None
## 4640 70,000-79,999 0 < 1
## 4641 100,000-124,999 0 None
## 4642 7,500-9,999 0 1-2
## 4643 <NA> <NA> 1-2
## 4644 80,000-89,999 100-999 1-2
## 4645 25,000-29,999 1-99 5-10
## 4646 100,000-124,999 10,000-99,999 10-20
## 4647 > 500,000 100-999 10-20
## 4648 1,000-1,999 1-99 10-20
## 4649 0-999 100-999 < 1
## 4650 100,000-124,999 1000-9,999 3-5
## 4651 90,000-99,999 > 100,000 5-10
## 4652 100,000-124,999 > 100,000 10-20
## 4653 <NA> <NA> < 1
## 4654 <NA> <NA> 1-2
## 4655 20,000-24,999 1000-9,999 3-5
## 4656 50,000-59,999 10,000-99,999 3-5
## 4657 <NA> <NA> < 1
## 4658 70,000-79,999 100-999 5-10
## 4659 50,000-59,999 > 100,000 5-10
## 4660 0-999 0 < 1
## 4661 60,000-69,999 100-999 10-20
## 4662 <NA> <NA> 3-5
## 4663 25,000-29,999 0 10-20
## 4664 4,000-4,999 1000-9,999 3-5
## 4665 40,000-49,999 1000-9,999 1-2
## 4666 25,000-29,999 0 1-2
## 4667 <NA> <NA> < 1
## 4668 25,000-29,999 1-99 1-2
## 4669 <NA> <NA> 1-2
## 4670 125,000-149,999 10,000-99,999 10-20
## 4671 40,000-49,999 1-99 5-10
## 4672 0-999 0 < 1
## 4673 15,000-19,999 1000-9,999 3-5
## 4674 125,000-149,999 1000-9,999 3-5
## 4675 100,000-124,999 > 100,000 3-5
## 4676 90,000-99,999 1000-9,999 5-10
## 4677 50,000-59,999 1-99 5-10
## 4678 <NA> <NA> 1-2
## 4679 0-999 0 3-5
## 4680 <NA> <NA> < 1
## 4681 <NA> <NA> < 1
## 4682 50,000-59,999 1000-9,999 3-5
## 4683 <NA> <NA> < 1
## 4684 0-999 0 < 1
## 4685 40,000-49,999 1000-9,999 3-5
## 4686 2,000-2,999 1-99 10-20
## 4687 10,000-14,999 0 3-5
## 4688 40,000-49,999 100-999 1-2
## 4689 <NA> <NA> < 1
## 4690 10,000-14,999 100-999 3-5
## 4691 5,000-7,499 10,000-99,999 < 1
## 4692 60,000-69,999 10,000-99,999 1-2
## 4693 20,000-24,999 10,000-99,999 5-10
## 4694 30,000-39,999 100-999 5-10
## 4695 40,000-49,999 100-999 3-5
## 4696 25,000-29,999 100-999 3-5
## 4697 <NA> <NA> < 1
## 4698 150,000-199,999 > 100,000 20+
## 4699 2,000-2,999 > 100,000 3-5
## 4700 <NA> <NA> None
## 4701 40,000-49,999 100-999 1-2
## 4702 <NA> <NA> < 1
## 4703 <NA> <NA> None
## 4704 300,000-500,000 0 20+
## 4705 80,000-89,999 10,000-99,999 5-10
## 4706 125,000-149,999 10,000-99,999 5-10
## 4707 <NA> <NA> < 1
## 4708 5,000-7,499 1000-9,999 3-5
## 4709 <NA> <NA> None
## 4710 50,000-59,999 1000-9,999 5-10
## 4711 40,000-49,999 10,000-99,999 3-5
## 4712 <NA> <NA> < 1
## 4713 40,000-49,999 0 5-10
## 4714 <NA> <NA> None
## 4715 <NA> <NA> 5-10
## 4716 125,000-149,999 1000-9,999 10-20
## 4717 2,000-2,999 0 5-10
## 4718 80,000-89,999 0 10-20
## 4719 40,000-49,999 1000-9,999 5-10
## 4720 15,000-19,999 100-999 3-5
## 4721 0-999 0 < 1
## 4722 15,000-19,999 1000-9,999 3-5
## 4723 <NA> <NA> None
## 4724 100,000-124,999 10,000-99,999 3-5
## 4725 70,000-79,999 1000-9,999 1-2
## 4726 0-999 1-99 < 1
## 4727 80,000-89,999 0 3-5
## 4728 <NA> <NA> None
## 4729 2,000-2,999 1000-9,999 10-20
## 4730 100,000-124,999 > 100,000 10-20
## 4731 5,000-7,499 0 1-2
## 4732 150,000-199,999 0 3-5
## 4733 60,000-69,999 0 3-5
## 4734 90,000-99,999 1000-9,999 3-5
## 4735 10,000-14,999 1-99 3-5
## 4736 0-999 0 < 1
## 4737 <NA> <NA> < 1
## 4738 60,000-69,999 1-99 1-2
## 4739 90,000-99,999 10,000-99,999 5-10
## 4740 50,000-59,999 1000-9,999 3-5
## 4741 1,000-1,999 0 < 1
## 4742 100,000-124,999 100-999 10-20
## 4743 <NA> <NA> 5-10
## 4744 30,000-39,999 0 3-5
## 4745 90,000-99,999 > 100,000 3-5
## 4746 <NA> <NA> < 1
## 4747 <NA> <NA> < 1
## 4748 10,000-14,999 0 None
## 4749 10,000-14,999 0 < 1
## 4750 100,000-124,999 1000-9,999 3-5
## 4751 <NA> <NA> 1-2
## 4752 125,000-149,999 1000-9,999 3-5
## 4753 40,000-49,999 > 100,000 1-2
## 4754 <NA> <NA> 1-2
## 4755 40,000-49,999 0 3-5
## 4756 <NA> <NA> 1-2
## 4757 100,000-124,999 > 100,000 3-5
## 4758 100,000-124,999 100-999 3-5
## 4759 30,000-39,999 0 3-5
## 4760 150,000-199,999 > 100,000 5-10
## 4761 200,000-249,999 > 100,000 10-20
## 4762 <NA> <NA> 1-2
## 4763 1,000-1,999 1-99 3-5
## 4764 150,000-199,999 10,000-99,999 5-10
## 4765 <NA> <NA> 1-2
## 4766 10,000-14,999 1-99 < 1
## 4767 5,000-7,499 0 3-5
## 4768 25,000-29,999 > 100,000 10-20
## 4769 70,000-79,999 100-999 3-5
## 4770 30,000-39,999 > 100,000 10-20
## 4771 0-999 1000-9,999 3-5
## 4772 <NA> <NA> None
## 4773 <NA> <NA> 1-2
## 4774 200,000-249,999 > 100,000 10-20
## 4775 90,000-99,999 1000-9,999 5-10
## 4776 60,000-69,999 1000-9,999 3-5
## 4777 100,000-124,999 0 3-5
## 4778 <NA> <NA> < 1
## 4779 1,000-1,999 1000-9,999 3-5
## 4780 80,000-89,999 0 10-20
## 4781 <NA> <NA> 1-2
## 4782 125,000-149,999 1000-9,999 5-10
## 4783 > 500,000 > 100,000 3-5
## 4784 <NA> <NA> < 1
## 4785 60,000-69,999 0 1-2
## 4786 25,000-29,999 1-99 3-5
## 4787 <NA> <NA> < 1
## 4788 <NA> <NA> < 1
## 4789 50,000-59,999 100-999 1-2
## 4790 <NA> <NA> 1-2
## 4791 125,000-149,999 1-99 < 1
## 4792 125,000-149,999 0 3-5
## 4793 300,000-500,000 > 100,000 None
## 4794 300,000-500,000 0 3-5
## 4795 50,000-59,999 1000-9,999 5-10
## 4796 80,000-89,999 0 3-5
## 4797 7,500-9,999 0 < 1
## 4798 <NA> <NA> < 1
## 4799 <NA> <NA> < 1
## 4800 100,000-124,999 0 3-5
## 4801 <NA> <NA> 1-2
## 4802 <NA> <NA> 1-2
## 4803 <NA> <NA> 1-2
## 4804 1,000-1,999 1-99 1-2
## 4805 10,000-14,999 100-999 1-2
## 4806 <NA> <NA> < 1
## 4807 15,000-19,999 10,000-99,999 3-5
## 4808 100,000-124,999 0 < 1
## 4809 <NA> <NA> 1-2
## 4810 90,000-99,999 100-999 3-5
## 4811 90,000-99,999 1000-9,999 3-5
## 4812 5,000-7,499 100-999 < 1
## 4813 20,000-24,999 1000-9,999 1-2
## 4814 25,000-29,999 10,000-99,999 None
## 4815 <NA> <NA> 1-2
## 4816 > 500,000 > 100,000 10-20
## 4817 80,000-89,999 1000-9,999 3-5
## 4818 100,000-124,999 > 100,000 5-10
## 4819 2,000-2,999 1000-9,999 10-20
## 4820 10,000-14,999 0 1-2
## 4821 <NA> <NA> 1-2
## 4822 70,000-79,999 > 100,000 10-20
## 4823 90,000-99,999 10,000-99,999 1-2
## 4824 100,000-124,999 0 1-2
## 4825 0-999 100-999 5-10
## 4826 40,000-49,999 100-999 None
## 4827 90,000-99,999 1000-9,999 3-5
## 4828 125,000-149,999 > 100,000 3-5
## 4829 <NA> <NA> 3-5
## 4830 <NA> <NA> < 1
## 4831 100,000-124,999 > 100,000 1-2
## 4832 4,000-4,999 0 < 1
## 4833 80,000-89,999 0 20+
## 4834 <NA> <NA> < 1
## 4835 60,000-69,999 0 3-5
## 4836 5,000-7,499 1-99 < 1
## 4837 200,000-249,999 10,000-99,999 10-20
## 4838 <NA> <NA> None
## 4839 30,000-39,999 100-999 < 1
## 4840 5,000-7,499 0 3-5
## 4841 1,000-1,999 0 3-5
## 4842 70,000-79,999 100-999 1-2
## 4843 150,000-199,999 0 10-20
## 4844 100,000-124,999 > 100,000 5-10
## 4845 30,000-39,999 100-999 5-10
## 4846 90,000-99,999 0 3-5
## 4847 70,000-79,999 1000-9,999 5-10
## 4848 50,000-59,999 0 < 1
## 4849 70,000-79,999 100-999 None
## 4850 150,000-199,999 10,000-99,999 20+
## 4851 50,000-59,999 0 10-20
## 4852 25,000-29,999 10,000-99,999 10-20
## 4853 5,000-7,499 0 < 1
## 4854 90,000-99,999 10,000-99,999 3-5
## 4855 30,000-39,999 100-999 5-10
## 4856 150,000-199,999 10,000-99,999 3-5
## 4857 70,000-79,999 1000-9,999 5-10
## 4858 80,000-89,999 1000-9,999 20+
## 4859 50,000-59,999 100-999 1-2
## 4860 50,000-59,999 0 3-5
## 4861 10,000-14,999 0 < 1
## 4862 <NA> <NA> 1-2
## 4863 100,000-124,999 0 10-20
## 4864 30,000-39,999 0 10-20
## 4865 <NA> <NA> < 1
## 4866 5,000-7,499 0 1-2
## 4867 25,000-29,999 1000-9,999 3-5
## 4868 <NA> <NA> 3-5
## 4869 40,000-49,999 1-99 < 1
## 4870 125,000-149,999 0 10-20
## 4871 80,000-89,999 > 100,000 3-5
## 4872 15,000-19,999 1000-9,999 10-20
## 4873 1,000-1,999 0 < 1
## 4874 150,000-199,999 > 100,000 5-10
## 4875 70,000-79,999 1000-9,999 20+
## 4876 7,500-9,999 10,000-99,999 5-10
## 4877 <NA> <NA> None
## 4878 0-999 100-999 1-2
## 4879 <NA> <NA> < 1
## 4880 40,000-49,999 100-999 3-5
## 4881 1,000-1,999 100-999 1-2
## 4882 <NA> <NA> 1-2
## 4883 <NA> <NA> < 1
## 4884 20,000-24,999 1000-9,999 3-5
## 4885 <NA> <NA> None
## 4886 90,000-99,999 1-99 20+
## 4887 70,000-79,999 0 10-20
## 4888 60,000-69,999 10,000-99,999 1-2
## 4889 40,000-49,999 > 100,000 3-5
## 4890 20,000-24,999 100-999 1-2
## 4891 3,000-3,999 > 100,000 10-20
## 4892 125,000-149,999 100-999 5-10
## 4893 <NA> <NA> 3-5
## 4894 <NA> <NA> < 1
## 4895 0-999 1-99 < 1
## 4896 30,000-39,999 10,000-99,999 3-5
## 4897 <NA> <NA> 3-5
## 4898 <NA> <NA> 3-5
## 4899 125,000-149,999 10,000-99,999 10-20
## 4900 1,000-1,999 10,000-99,999 3-5
## 4901 90,000-99,999 100-999 5-10
## 4902 0-999 100-999 20+
## 4903 100,000-124,999 10,000-99,999 None
## 4904 <NA> <NA> None
## 4905 80,000-89,999 10,000-99,999 10-20
## 4906 15,000-19,999 100-999 3-5
## 4907 250,000-299,999 0 10-20
## 4908 <NA> <NA> 1-2
## 4909 0-999 1-99 1-2
## 4910 <NA> <NA> < 1
## 4911 100,000-124,999 100-999 3-5
## 4912 100,000-124,999 100-999 5-10
## 4913 <NA> <NA> 1-2
## 4914 150,000-199,999 > 100,000 5-10
## 4915 100,000-124,999 10,000-99,999 5-10
## 4916 150,000-199,999 > 100,000 10-20
## 4917 10,000-14,999 100-999 1-2
## 4918 50,000-59,999 1-99 < 1
## 4919 10,000-14,999 0 1-2
## 4920 90,000-99,999 > 100,000 3-5
## 4921 30,000-39,999 0 < 1
## 4922 70,000-79,999 0 < 1
## 4923 100,000-124,999 > 100,000 5-10
## 4924 2,000-2,999 1-99 < 1
## 4925 <NA> <NA> < 1
## 4926 90,000-99,999 0 5-10
## 4927 7,500-9,999 0 < 1
## 4928 15,000-19,999 1-99 1-2
## 4929 10,000-14,999 100-999 5-10
## 4930 4,000-4,999 1000-9,999 3-5
## 4931 1,000-1,999 0 3-5
## 4932 80,000-89,999 0 < 1
## 4933 4,000-4,999 1000-9,999 1-2
## 4934 25,000-29,999 100-999 5-10
## 4935 3,000-3,999 1000-9,999 5-10
## 4936 70,000-79,999 0 1-2
## 4937 1,000-1,999 1-99 < 1
## 4938 <NA> <NA> None
## 4939 <NA> <NA> < 1
## 4940 <NA> <NA> None
## 4941 25,000-29,999 0 None
## 4942 100,000-124,999 10,000-99,999 20+
## 4943 25,000-29,999 1000-9,999 3-5
## 4944 30,000-39,999 1-99 20+
## 4945 2,000-2,999 0 < 1
## 4946 30,000-39,999 1000-9,999 3-5
## 4947 100,000-124,999 10,000-99,999 10-20
## 4948 100,000-124,999 1000-9,999 20+
## 4949 150,000-199,999 > 100,000 20+
## 4950 0-999 1-99 < 1
## 4951 150,000-199,999 10,000-99,999 10-20
## 4952 20,000-24,999 10,000-99,999 < 1
## 4953 20,000-24,999 1000-9,999 10-20
## 4954 150,000-199,999 > 100,000 1-2
## 4955 150,000-199,999 10,000-99,999 10-20
## 4956 125,000-149,999 > 100,000 10-20
## 4957 <NA> <NA> < 1
## 4958 <NA> <NA> < 1
## 4959 100,000-124,999 100-999 20+
## 4960 0-999 1-99 1-2
## 4961 10,000-14,999 0 1-2
## 4962 10,000-14,999 100-999 1-2
## 4963 125,000-149,999 0 10-20
## 4964 <NA> <NA> < 1
## 4965 90,000-99,999 > 100,000 3-5
## 4966 0-999 1-99 < 1
## 4967 20,000-24,999 1-99 3-5
## 4968 3,000-3,999 100-999 1-2
## 4969 0-999 100-999 5-10
## 4970 1,000-1,999 0 < 1
## 4971 <NA> <NA> 3-5
## 4972 <NA> <NA> < 1
## 4973 40,000-49,999 1-99 < 1
## 4974 150,000-199,999 > 100,000 10-20
## 4975 10,000-14,999 10,000-99,999 1-2
## 4976 150,000-199,999 > 100,000 20+
## 4977 10,000-14,999 100-999 5-10
## 4978 4,000-4,999 0 5-10
## 4979 150,000-199,999 1000-9,999 1-2
## 4980 1,000-1,999 1-99 None
## 4981 125,000-149,999 10,000-99,999 10-20
## 4982 0-999 0 10-20
## 4983 10,000-14,999 100-999 1-2
## 4984 150,000-199,999 > 100,000 5-10
## 4985 <NA> <NA> None
## 4986 100,000-124,999 1000-9,999 None
## 4987 50,000-59,999 0 < 1
## 4988 30,000-39,999 1000-9,999 3-5
## 4989 90,000-99,999 100-999 3-5
## 4990 60,000-69,999 100-999 10-20
## 4991 70,000-79,999 1000-9,999 3-5
## 4992 60,000-69,999 0 5-10
## 4993 20,000-24,999 0 < 1
## 4994 1,000-1,999 1-99 1-2
## 4995 80,000-89,999 1000-9,999 5-10
## 4996 150,000-199,999 1000-9,999 5-10
## 4997 50,000-59,999 100-999 1-2
## 4998 10,000-14,999 0 5-10
## 4999 1,000-1,999 1-99 3-5
## 5000 10,000-14,999 0 1-2
## 5001 7,500-9,999 100-999 1-2
## 5002 5,000-7,499 10,000-99,999 1-2
## 5003 20,000-24,999 100-999 3-5
## 5004 50,000-59,999 0 3-5
## 5005 <NA> <NA> 1-2
## 5006 40,000-49,999 0 1-2
## 5007 200,000-249,999 100-999 None
## 5008 150,000-199,999 1000-9,999 5-10
## 5009 50,000-59,999 0 5-10
## 5010 150,000-199,999 100-999 10-20
## 5011 3,000-3,999 1-99 1-2
## 5012 60,000-69,999 0 5-10
## 5013 40,000-49,999 0 3-5
## 5014 15,000-19,999 0 5-10
## 5015 > 500,000 > 100,000 20+
## 5016 <NA> <NA> 1-2
## 5017 <NA> <NA> 1-2
## 5018 60,000-69,999 10,000-99,999 5-10
## 5019 0-999 0 1-2
## 5020 100,000-124,999 1000-9,999 1-2
## 5021 0-999 0 1-2
## 5022 <NA> <NA> 3-5
## 5023 150,000-199,999 100-999 20+
## 5024 60,000-69,999 10,000-99,999 5-10
## 5025 <NA> <NA> 1-2
## 5026 <NA> <NA> None
## 5027 90,000-99,999 1000-9,999 3-5
## 5028 100,000-124,999 1000-9,999 5-10
## 5029 100,000-124,999 > 100,000 5-10
## 5030 4,000-4,999 0 5-10
## 5031 7,500-9,999 10,000-99,999 20+
## 5032 20,000-24,999 100-999 None
## 5033 25,000-29,999 10,000-99,999 1-2
## 5034 <NA> <NA> < 1
## 5035 90,000-99,999 1000-9,999 20+
## 5036 40,000-49,999 100-999 3-5
## 5037 <NA> <NA> 1-2
## 5038 80,000-89,999 0 1-2
## 5039 40,000-49,999 > 100,000 3-5
## 5040 2,000-2,999 0 < 1
## 5041 60,000-69,999 0 10-20
## 5042 60,000-69,999 0 1-2
## 5043 7,500-9,999 0 3-5
## 5044 <NA> <NA> < 1
## 5045 80,000-89,999 100-999 1-2
## 5046 <NA> <NA> 3-5
## 5047 <NA> <NA> < 1
## 5048 <NA> <NA> 3-5
## 5049 30,000-39,999 0 10-20
## 5050 25,000-29,999 0 5-10
## 5051 25,000-29,999 0 1-2
## 5052 0-999 100-999 < 1
## 5053 <NA> <NA> < 1
## 5054 1,000-1,999 1000-9,999 1-2
## 5055 100,000-124,999 10,000-99,999 5-10
## 5056 > 500,000 > 100,000 1-2
## 5057 60,000-69,999 0 5-10
## 5058 100,000-124,999 0 None
## 5059 100,000-124,999 1-99 3-5
## 5060 300,000-500,000 1000-9,999 3-5
## 5061 <NA> <NA> 3-5
## 5062 10,000-14,999 100-999 1-2
## 5063 <NA> <NA> < 1
## 5064 70,000-79,999 10,000-99,999 1-2
## 5065 <NA> <NA> None
## 5066 <NA> <NA> 3-5
## 5067 80,000-89,999 100-999 1-2
## 5068 2,000-2,999 0 3-5
## 5069 150,000-199,999 1000-9,999 20+
## 5070 <NA> <NA> 3-5
## 5071 50,000-59,999 0 1-2
## 5072 300,000-500,000 > 100,000 5-10
## 5073 80,000-89,999 10,000-99,999 10-20
## 5074 <NA> <NA> 3-5
## 5075 0-999 1-99 1-2
## 5076 <NA> <NA> 1-2
## 5077 60,000-69,999 0 3-5
## 5078 <NA> <NA> < 1
## 5079 30,000-39,999 0 1-2
## 5080 <NA> <NA> None
## 5081 100,000-124,999 10,000-99,999 1-2
## 5082 100,000-124,999 10,000-99,999 5-10
## 5083 <NA> <NA> 1-2
## 5084 <NA> <NA> 3-5
## 5085 1,000-1,999 1000-9,999 1-2
## 5086 40,000-49,999 1000-9,999 3-5
## 5087 <NA> <NA> None
## 5088 <NA> <NA> < 1
## 5089 4,000-4,999 0 3-5
## 5090 30,000-39,999 100-999 1-2
## 5091 <NA> <NA> 3-5
## 5092 2,000-2,999 1000-9,999 3-5
## 5093 4,000-4,999 1-99 3-5
## 5094 <NA> <NA> 3-5
## 5095 0-999 0 < 1
## 5096 40,000-49,999 0 < 1
## 5097 20,000-24,999 0 3-5
## 5098 200,000-249,999 1000-9,999 3-5
## 5099 5,000-7,499 0 5-10
## 5100 0-999 0 1-2
## 5101 <NA> <NA> < 1
## 5102 0-999 0 3-5
## 5103 0-999 1000-9,999 1-2
## 5104 30,000-39,999 0 3-5
## 5105 70,000-79,999 100-999 < 1
## 5106 7,500-9,999 0 < 1
## 5107 90,000-99,999 1-99 5-10
## 5108 100,000-124,999 > 100,000 5-10
## 5109 15,000-19,999 0 1-2
## 5110 20,000-24,999 100-999 3-5
## 5111 1,000-1,999 0 < 1
## 5112 1,000-1,999 0 3-5
## 5113 300,000-500,000 1000-9,999 20+
## 5114 2,000-2,999 10,000-99,999 5-10
## 5115 150,000-199,999 > 100,000 5-10
## 5116 100,000-124,999 0 < 1
## 5117 100,000-124,999 10,000-99,999 10-20
## 5118 0-999 0 None
## 5119 <NA> <NA> 1-2
## 5120 80,000-89,999 0 < 1
## 5121 <NA> <NA> < 1
## 5122 <NA> <NA> None
## 5123 2,000-2,999 10,000-99,999 1-2
## 5124 10,000-14,999 100-999 1-2
## 5125 100,000-124,999 100-999 None
## 5126 40,000-49,999 10,000-99,999 3-5
## 5127 100,000-124,999 > 100,000 10-20
## 5128 30,000-39,999 1000-9,999 3-5
## 5129 10,000-14,999 0 5-10
## 5130 40,000-49,999 1000-9,999 1-2
## 5131 0-999 100-999 3-5
## 5132 3,000-3,999 100-999 1-2
## 5133 <NA> <NA> 3-5
## 5134 40,000-49,999 100-999 5-10
## 5135 100,000-124,999 1-99 10-20
## 5136 100,000-124,999 > 100,000 3-5
## 5137 <NA> <NA> < 1
## 5138 <NA> <NA> < 1
## 5139 300,000-500,000 > 100,000 10-20
## 5140 0-999 100-999 5-10
## 5141 <NA> <NA> 5-10
## 5142 <NA> <NA> 1-2
## 5143 0-999 1-99 3-5
## 5144 50,000-59,999 1-99 1-2
## 5145 <NA> <NA> 3-5
## 5146 50,000-59,999 10,000-99,999 5-10
## 5147 10,000-14,999 1000-9,999 3-5
## 5148 100,000-124,999 10,000-99,999 1-2
## 5149 125,000-149,999 10,000-99,999 None
## 5150 <NA> <NA> < 1
## 5151 125,000-149,999 > 100,000 10-20
## 5152 20,000-24,999 10,000-99,999 1-2
## 5153 10,000-14,999 0 < 1
## 5154 10,000-14,999 10,000-99,999 3-5
## 5155 3,000-3,999 1-99 1-2
## 5156 50,000-59,999 0 3-5
## 5157 150,000-199,999 > 100,000 20+
## 5158 0-999 0 3-5
## 5159 <NA> <NA> 5-10
## 5160 60,000-69,999 1-99 3-5
## 5161 60,000-69,999 0 5-10
## 5162 5,000-7,499 0 < 1
## 5163 15,000-19,999 100-999 1-2
## 5164 40,000-49,999 1-99 3-5
## 5165 30,000-39,999 0 None
## 5166 10,000-14,999 100-999 < 1
## 5167 90,000-99,999 1-99 1-2
## 5168 5,000-7,499 100-999 < 1
## 5169 3,000-3,999 100-999 < 1
## 5170 150,000-199,999 1000-9,999 10-20
## 5171 150,000-199,999 1000-9,999 5-10
## 5172 100,000-124,999 10,000-99,999 3-5
## 5173 70,000-79,999 10,000-99,999 20+
## 5174 40,000-49,999 100-999 5-10
## 5175 20,000-24,999 1000-9,999 1-2
## 5176 10,000-14,999 > 100,000 3-5
## 5177 <NA> <NA> < 1
## 5178 250,000-299,999 10,000-99,999 10-20
## 5179 100,000-124,999 1000-9,999 20+
## 5180 0-999 1000-9,999 5-10
## 5181 125,000-149,999 0 1-2
## 5182 10,000-14,999 0 None
## 5183 125,000-149,999 10,000-99,999 10-20
## 5184 0-999 0 1-2
## 5185 150,000-199,999 > 100,000 3-5
## 5186 80,000-89,999 1000-9,999 5-10
## 5187 7,500-9,999 0 < 1
## 5188 <NA> <NA> 1-2
## 5189 <NA> <NA> < 1
## 5190 80,000-89,999 > 100,000 20+
## 5191 60,000-69,999 1-99 3-5
## 5192 <NA> <NA> < 1
## 5193 10,000-14,999 1000-9,999 3-5
## 5194 100,000-124,999 > 100,000 3-5
## 5195 100,000-124,999 1000-9,999 3-5
## 5196 <NA> <NA> < 1
## 5197 100,000-124,999 0 10-20
## 5198 100,000-124,999 1000-9,999 3-5
## 5199 100,000-124,999 1000-9,999 10-20
## 5200 3,000-3,999 0 1-2
## 5201 25,000-29,999 0 3-5
## 5202 <NA> <NA> < 1
## 5203 2,000-2,999 10,000-99,999 3-5
## 5204 200,000-249,999 > 100,000 10-20
## 5205 10,000-14,999 0 1-2
## 5206 150,000-199,999 10,000-99,999 1-2
## 5207 125,000-149,999 10,000-99,999 10-20
## 5208 <NA> <NA> 5-10
## 5209 20,000-24,999 100-999 5-10
## 5210 150,000-199,999 1000-9,999 10-20
## 5211 90,000-99,999 1000-9,999 20+
## 5212 7,500-9,999 1000-9,999 5-10
## 5213 200,000-249,999 > 100,000 10-20
## 5214 250,000-299,999 > 100,000 10-20
## 5215 40,000-49,999 1000-9,999 5-10
## 5216 70,000-79,999 1000-9,999 10-20
## 5217 <NA> <NA> < 1
## 5218 200,000-249,999 > 100,000 10-20
## 5219 100,000-124,999 0 1-2
## 5220 0-999 0 20+
## 5221 125,000-149,999 > 100,000 5-10
## 5222 15,000-19,999 100-999 5-10
## 5223 70,000-79,999 0 3-5
## 5224 50,000-59,999 1-99 1-2
## 5225 <NA> <NA> None
## 5226 > 500,000 > 100,000 20+
## 5227 70,000-79,999 1000-9,999 3-5
## 5228 70,000-79,999 100-999 10-20
## 5229 <NA> <NA> < 1
## 5230 0-999 0 10-20
## 5231 125,000-149,999 10,000-99,999 3-5
## 5232 7,500-9,999 100-999 3-5
## 5233 150,000-199,999 > 100,000 20+
## 5234 50,000-59,999 0 1-2
## 5235 0-999 > 100,000 1-2
## 5236 100,000-124,999 1000-9,999 3-5
## 5237 100,000-124,999 100-999 3-5
## 5238 10,000-14,999 1-99 10-20
## 5239 15,000-19,999 1000-9,999 10-20
## 5240 100,000-124,999 100-999 5-10
## 5241 100,000-124,999 100-999 1-2
## 5242 100,000-124,999 10,000-99,999 3-5
## 5243 80,000-89,999 0 3-5
## 5244 60,000-69,999 1000-9,999 3-5
## 5245 2,000-2,999 1-99 < 1
## 5246 150,000-199,999 10,000-99,999 20+
## 5247 <NA> <NA> 1-2
## 5248 <NA> <NA> None
## 5249 <NA> <NA> 3-5
## 5250 0-999 100-999 < 1
## 5251 > 500,000 10,000-99,999 20+
## 5252 0-999 0 1-2
## 5253 2,000-2,999 0 None
## 5254 200,000-249,999 1000-9,999 20+
## 5255 70,000-79,999 100-999 3-5
## 5256 1,000-1,999 1-99 < 1
## 5257 0-999 0 1-2
## 5258 40,000-49,999 0 < 1
## 5259 125,000-149,999 0 10-20
## 5260 <NA> <NA> < 1
## 5261 <NA> <NA> 3-5
## 5262 150,000-199,999 100-999 10-20
## 5263 250,000-299,999 10,000-99,999 20+
## 5264 90,000-99,999 > 100,000 10-20
## 5265 80,000-89,999 100-999 < 1
## 5266 50,000-59,999 10,000-99,999 1-2
## 5267 60,000-69,999 100-999 10-20
## 5268 200,000-249,999 1-99 < 1
## 5269 70,000-79,999 100-999 3-5
## 5270 125,000-149,999 1-99 3-5
## 5271 90,000-99,999 100-999 None
## 5272 50,000-59,999 1000-9,999 1-2
## 5273 <NA> <NA> 1-2
## 5274 100,000-124,999 10,000-99,999 3-5
## 5275 60,000-69,999 1-99 3-5
## 5276 <NA> <NA> None
## 5277 150,000-199,999 100-999 10-20
## 5278 <NA> <NA> None
## 5279 <NA> <NA> 1-2
## 5280 4,000-4,999 1-99 10-20
## 5281 <NA> <NA> 1-2
## 5282 60,000-69,999 0 5-10
## 5283 15,000-19,999 0 < 1
## 5284 40,000-49,999 > 100,000 1-2
## 5285 30,000-39,999 100-999 3-5
## 5286 30,000-39,999 1-99 5-10
## 5287 100,000-124,999 > 100,000 5-10
## 5288 <NA> <NA> 1-2
## 5289 30,000-39,999 0 5-10
## 5290 200,000-249,999 10,000-99,999 10-20
## 5291 90,000-99,999 10,000-99,999 10-20
## 5292 20,000-24,999 100-999 1-2
## 5293 10,000-14,999 0 5-10
## 5294 <NA> <NA> 1-2
## 5295 200,000-249,999 > 100,000 10-20
## 5296 0-999 1-99 3-5
## 5297 125,000-149,999 > 100,000 10-20
## 5298 30,000-39,999 1000-9,999 < 1
## 5299 10,000-14,999 1000-9,999 < 1
## 5300 5,000-7,499 1-99 3-5
## 5301 <NA> <NA> 5-10
## 5302 30,000-39,999 0 < 1
## 5303 100,000-124,999 0 10-20
## 5304 100,000-124,999 10,000-99,999 3-5
## 5305 <NA> <NA> 3-5
## 5306 125,000-149,999 10,000-99,999 10-20
## 5307 60,000-69,999 0 20+
## 5308 <NA> <NA> 1-2
## 5309 60,000-69,999 0 5-10
## 5310 125,000-149,999 > 100,000 5-10
## 5311 70,000-79,999 10,000-99,999 1-2
## 5312 25,000-29,999 1-99 3-5
## 5313 7,500-9,999 0 1-2
## 5314 0-999 0 1-2
## 5315 4,000-4,999 1000-9,999 5-10
## 5316 100,000-124,999 100-999 3-5
## 5317 70,000-79,999 100-999 5-10
## 5318 50,000-59,999 1000-9,999 3-5
## 5319 <NA> <NA> < 1
## 5320 <NA> <NA> 1-2
## 5321 0-999 1000-9,999 < 1
## 5322 <NA> <NA> < 1
## 5323 90,000-99,999 > 100,000 5-10
## 5324 3,000-3,999 0 3-5
## 5325 125,000-149,999 0 3-5
## 5326 125,000-149,999 1000-9,999 3-5
## 5327 2,000-2,999 100-999 1-2
## 5328 <NA> <NA> 3-5
## 5329 4,000-4,999 1-99 None
## 5330 1,000-1,999 1000-9,999 5-10
## 5331 30,000-39,999 1-99 1-2
## 5332 2,000-2,999 0 < 1
## 5333 <NA> <NA> 1-2
## 5334 10,000-14,999 1-99 5-10
## 5335 20,000-24,999 100-999 1-2
## 5336 0-999 0 1-2
## 5337 <NA> <NA> None
## 5338 90,000-99,999 0 5-10
## 5339 5,000-7,499 1000-9,999 3-5
## 5340 90,000-99,999 10,000-99,999 3-5
## 5341 70,000-79,999 100-999 3-5
## 5342 125,000-149,999 > 100,000 1-2
## 5343 <NA> <NA> 5-10
## 5344 2,000-2,999 > 100,000 10-20
## 5345 1,000-1,999 0 3-5
## 5346 10,000-14,999 100-999 10-20
## 5347 15,000-19,999 1000-9,999 1-2
## 5348 80,000-89,999 0 5-10
## 5349 <NA> <NA> 1-2
## 5350 0-999 0 10-20
## 5351 1,000-1,999 0 < 1
## 5352 7,500-9,999 1-99 < 1
## 5353 <NA> <NA> < 1
## 5354 80,000-89,999 10,000-99,999 3-5
## 5355 10,000-14,999 1-99 1-2
## 5356 4,000-4,999 1000-9,999 5-10
## 5357 150,000-199,999 10,000-99,999 10-20
## 5358 0-999 1-99 1-2
## 5359 0-999 0 1-2
## 5360 5,000-7,499 1-99 < 1
## 5361 0-999 0 3-5
## 5362 <NA> <NA> 1-2
## 5363 40,000-49,999 10,000-99,999 < 1
## 5364 <NA> <NA> 1-2
## 5365 <NA> <NA> None
## 5366 70,000-79,999 10,000-99,999 3-5
## 5367 60,000-69,999 0 3-5
## 5368 <NA> <NA> 1-2
## 5369 40,000-49,999 0 1-2
## 5370 150,000-199,999 1000-9,999 3-5
## 5371 10,000-14,999 1000-9,999 3-5
## 5372 5,000-7,499 0 < 1
## 5373 <NA> <NA> 1-2
## 5374 3,000-3,999 100-999 1-2
## 5375 20,000-24,999 0 3-5
## 5376 <NA> <NA> < 1
## 5377 <NA> <NA> 1-2
## 5378 <NA> <NA> 1-2
## 5379 90,000-99,999 0 1-2
## 5380 <NA> <NA> < 1
## 5381 5,000-7,499 1000-9,999 1-2
## 5382 60,000-69,999 0 20+
## 5383 0-999 100-999 1-2
## 5384 2,000-2,999 0 3-5
## 5385 100,000-124,999 10,000-99,999 10-20
## 5386 0-999 0 < 1
## 5387 15,000-19,999 100-999 3-5
## 5388 50,000-59,999 1000-9,999 5-10
## 5389 0-999 1-99 1-2
## 5390 100,000-124,999 10,000-99,999 3-5
## 5391 125,000-149,999 1000-9,999 3-5
## 5392 <NA> <NA> 1-2
## 5393 <NA> <NA> < 1
## 5394 <NA> <NA> 1-2
## 5395 20,000-24,999 0 1-2
## 5396 0-999 1000-9,999 3-5
## 5397 70,000-79,999 100-999 < 1
## 5398 15,000-19,999 1000-9,999 < 1
## 5399 2,000-2,999 1-99 None
## 5400 0-999 0 < 1
## 5401 0-999 0 3-5
## 5402 40,000-49,999 > 100,000 3-5
## 5403 20,000-24,999 100-999 1-2
## 5404 4,000-4,999 10,000-99,999 < 1
## 5405 1,000-1,999 10,000-99,999 1-2
## 5406 <NA> <NA> 10-20
## 5407 <NA> <NA> None
## 5408 0-999 100-999 1-2
## 5409 100,000-124,999 10,000-99,999 3-5
## 5410 60,000-69,999 100-999 < 1
## 5411 3,000-3,999 1000-9,999 < 1
## 5412 90,000-99,999 > 100,000 1-2
## 5413 70,000-79,999 > 100,000 3-5
## 5414 <NA> <NA> < 1
## 5415 30,000-39,999 0 None
## 5416 60,000-69,999 1000-9,999 10-20
## 5417 4,000-4,999 100-999 1-2
## 5418 40,000-49,999 100-999 1-2
## 5419 100,000-124,999 0 1-2
## 5420 1,000-1,999 0 1-2
## 5421 <NA> <NA> 1-2
## 5422 <NA> <NA> < 1
## 5423 15,000-19,999 100-999 3-5
## 5424 10,000-14,999 10,000-99,999 5-10
## 5425 200,000-249,999 0 10-20
## 5426 4,000-4,999 0 3-5
## 5427 <NA> <NA> 3-5
## 5428 0-999 1000-9,999 < 1
## 5429 25,000-29,999 0 3-5
## 5430 2,000-2,999 1-99 3-5
## 5431 15,000-19,999 1-99 3-5
## 5432 25,000-29,999 100-999 5-10
## 5433 70,000-79,999 100-999 3-5
## 5434 <NA> <NA> < 1
## 5435 25,000-29,999 10,000-99,999 5-10
## 5436 15,000-19,999 1000-9,999 1-2
## 5437 <NA> <NA> 1-2
## 5438 30,000-39,999 100-999 3-5
## 5439 100,000-124,999 10,000-99,999 10-20
## 5440 1,000-1,999 0 None
## 5441 70,000-79,999 100-999 5-10
## 5442 <NA> <NA> 1-2
## 5443 <NA> <NA> < 1
## 5444 30,000-39,999 0 3-5
## 5445 60,000-69,999 0 < 1
## 5446 <NA> <NA> 3-5
## 5447 <NA> <NA> 1-2
## 5448 1,000-1,999 0 1-2
## 5449 10,000-14,999 10,000-99,999 5-10
## 5450 40,000-49,999 0 None
## 5451 25,000-29,999 1000-9,999 5-10
## 5452 100,000-124,999 100-999 5-10
## 5453 15,000-19,999 0 3-5
## 5454 25,000-29,999 0 None
## 5455 30,000-39,999 0 3-5
## 5456 15,000-19,999 0 < 1
## 5457 90,000-99,999 10,000-99,999 10-20
## 5458 10,000-14,999 1-99 1-2
## 5459 1,000-1,999 1-99 < 1
## 5460 40,000-49,999 10,000-99,999 5-10
## 5461 100,000-124,999 0 3-5
## 5462 40,000-49,999 1-99 1-2
## 5463 <NA> <NA> None
## 5464 5,000-7,499 100-999 < 1
## 5465 60,000-69,999 1000-9,999 5-10
## 5466 0-999 0 1-2
## 5467 7,500-9,999 0 1-2
## 5468 <NA> <NA> 1-2
## 5469 100,000-124,999 > 100,000 20+
## 5470 125,000-149,999 1000-9,999 < 1
## 5471 25,000-29,999 1000-9,999 < 1
## 5472 <NA> <NA> 1-2
## 5473 15,000-19,999 1-99 1-2
## 5474 <NA> <NA> < 1
## 5475 25,000-29,999 0 3-5
## 5476 25,000-29,999 1000-9,999 < 1
## 5477 2,000-2,999 0 10-20
## 5478 50,000-59,999 0 3-5
## 5479 50,000-59,999 100-999 10-20
## 5480 3,000-3,999 100-999 3-5
## 5481 80,000-89,999 1000-9,999 10-20
## 5482 7,500-9,999 100-999 10-20
## 5483 100,000-124,999 1-99 10-20
## 5484 <NA> <NA> < 1
## 5485 30,000-39,999 1000-9,999 5-10
## 5486 <NA> <NA> 1-2
## 5487 15,000-19,999 0 1-2
## 5488 4,000-4,999 10,000-99,999 None
## 5489 7,500-9,999 0 20+
## 5490 4,000-4,999 0 < 1
## 5491 40,000-49,999 100-999 3-5
## 5492 0-999 1-99 3-5
## 5493 15,000-19,999 100-999 1-2
## 5494 4,000-4,999 0 1-2
## 5495 30,000-39,999 10,000-99,999 3-5
## 5496 15,000-19,999 0 < 1
## 5497 5,000-7,499 0 < 1
## 5498 25,000-29,999 1-99 None
## 5499 <NA> <NA> < 1
## 5500 <NA> <NA> < 1
## 5501 <NA> <NA> < 1
## 5502 50,000-59,999 10,000-99,999 5-10
## 5503 1,000-1,999 100-999 1-2
## 5504 10,000-14,999 100-999 1-2
## 5505 4,000-4,999 0 < 1
## 5506 40,000-49,999 0 10-20
## 5507 15,000-19,999 0 < 1
## 5508 1,000-1,999 100-999 1-2
## 5509 5,000-7,499 1000-9,999 1-2
## 5510 30,000-39,999 100-999 1-2
## 5511 20,000-24,999 1-99 1-2
## 5512 3,000-3,999 100-999 < 1
## 5513 <NA> <NA> 1-2
## 5514 <NA> <NA> None
## 5515 0-999 0 None
## 5516 30,000-39,999 0 3-5
## 5517 0-999 0 < 1
## 5518 0-999 0 1-2
## 5519 50,000-59,999 10,000-99,999 5-10
## 5520 30,000-39,999 100-999 3-5
## 5521 4,000-4,999 100-999 < 1
## 5522 2,000-2,999 100-999 3-5
## 5523 25,000-29,999 100-999 3-5
## 5524 <NA> <NA> None
## 5525 15,000-19,999 0 3-5
## 5526 40,000-49,999 10,000-99,999 10-20
## 5527 <NA> <NA> 10-20
## 5528 0-999 1-99 < 1
## 5529 <NA> <NA> < 1
## 5530 50,000-59,999 100-999 1-2
## 5531 <NA> <NA> None
## 5532 <NA> <NA> < 1
## 5533 100,000-124,999 > 100,000 20+
## 5534 0-999 1-99 None
## 5535 4,000-4,999 1-99 3-5
## 5536 80,000-89,999 0 10-20
## 5537 2,000-2,999 1-99 3-5
## 5538 20,000-24,999 100-999 3-5
## 5539 <NA> <NA> None
## 5540 <NA> <NA> < 1
## 5541 30,000-39,999 1000-9,999 None
## 5542 4,000-4,999 10,000-99,999 < 1
## 5543 20,000-24,999 > 100,000 None
## 5544 2,000-2,999 100-999 1-2
## 5545 2,000-2,999 1000-9,999 None
## 5546 <NA> <NA> < 1
## 5547 100,000-124,999 0 1-2
## 5548 125,000-149,999 0 None
## 5549 5,000-7,499 0 < 1
## 5550 15,000-19,999 1000-9,999 3-5
## 5551 50,000-59,999 100-999 3-5
## 5552 <NA> <NA> 1-2
## 5553 100,000-124,999 0 20+
## 5554 <NA> <NA> None
## 5555 0-999 1-99 < 1
## 5556 <NA> <NA> 1-2
## 5557 125,000-149,999 0 3-5
## 5558 125,000-149,999 0 10-20
## 5559 50,000-59,999 100-999 3-5
## 5560 <NA> <NA> 1-2
## 5561 <NA> <NA> < 1
## 5562 50,000-59,999 0 1-2
## 5563 1,000-1,999 100-999 < 1
## 5564 <NA> <NA> < 1
## 5565 50,000-59,999 1000-9,999 3-5
## 5566 0-999 0 1-2
## 5567 10,000-14,999 1000-9,999 3-5
## 5568 <NA> <NA> 1-2
## 5569 <NA> <NA> 10-20
## 5570 30,000-39,999 0 None
## 5571 <NA> <NA> 1-2
## 5572 50,000-59,999 10,000-99,999 3-5
## 5573 100,000-124,999 10,000-99,999 10-20
## 5574 15,000-19,999 0 10-20
## 5575 3,000-3,999 0 1-2
## 5576 70,000-79,999 10,000-99,999 1-2
## 5577 50,000-59,999 1000-9,999 5-10
## 5578 <NA> <NA> < 1
## 5579 <NA> <NA> 1-2
## 5580 20,000-24,999 0 3-5
## 5581 40,000-49,999 0 3-5
## 5582 15,000-19,999 100-999 < 1
## 5583 <NA> <NA> < 1
## 5584 <NA> <NA> 1-2
## 5585 25,000-29,999 10,000-99,999 3-5
## 5586 30,000-39,999 > 100,000 5-10
## 5587 0-999 100-999 3-5
## 5588 15,000-19,999 0 3-5
## 5589 125,000-149,999 100-999 10-20
## 5590 4,000-4,999 0 None
## 5591 40,000-49,999 0 1-2
## 5592 <NA> <NA> 1-2
## 5593 60,000-69,999 10,000-99,999 3-5
## 5594 <NA> <NA> None
## 5595 125,000-149,999 100-999 5-10
## 5596 70,000-79,999 10,000-99,999 10-20
## 5597 50,000-59,999 100-999 < 1
## 5598 <NA> <NA> 10-20
## 5599 <NA> <NA> 1-2
## 5600 80,000-89,999 0 5-10
## 5601 <NA> <NA> None
## 5602 60,000-69,999 1000-9,999 10-20
## 5603 0-999 100-999 10-20
## 5604 40,000-49,999 10,000-99,999 3-5
## 5605 <NA> <NA> < 1
## 5606 25,000-29,999 0 None
## 5607 30,000-39,999 0 1-2
## 5608 <NA> <NA> 3-5
## 5609 0-999 0 1-2
## 5610 80,000-89,999 1-99 10-20
## 5611 30,000-39,999 1-99 10-20
## 5612 <NA> <NA> < 1
## 5613 50,000-59,999 0 5-10
## 5614 25,000-29,999 100-999 < 1
## 5615 50,000-59,999 1-99 3-5
## 5616 0-999 1-99 < 1
## 5617 <NA> <NA> < 1
## 5618 <NA> <NA> 5-10
## 5619 <NA> <NA> 1-2
## 5620 1,000-1,999 1-99 1-2
## 5621 <NA> <NA> 1-2
## 5622 25,000-29,999 1-99 None
## 5623 5,000-7,499 1000-9,999 20+
## 5624 <NA> <NA> < 1
## 5625 80,000-89,999 1000-9,999 5-10
## 5626 15,000-19,999 1-99 < 1
## 5627 25,000-29,999 100-999 3-5
## 5628 90,000-99,999 1000-9,999 3-5
## 5629 60,000-69,999 1-99 5-10
## 5630 <NA> <NA> 5-10
## 5631 70,000-79,999 1-99 20+
## 5632 <NA> <NA> < 1
## 5633 4,000-4,999 100-999 < 1
## 5634 125,000-149,999 100-999 20+
## 5635 100,000-124,999 1000-9,999 3-5
## 5636 <NA> <NA> < 1
## 5637 <NA> <NA> < 1
## 5638 100,000-124,999 0 5-10
## 5639 25,000-29,999 10,000-99,999 3-5
## 5640 15,000-19,999 1000-9,999 1-2
## 5641 0-999 0 1-2
## 5642 20,000-24,999 0 3-5
## 5643 <NA> <NA> 1-2
## 5644 <NA> <NA> 1-2
## 5645 0-999 1000-9,999 1-2
## 5646 20,000-24,999 10,000-99,999 1-2
## 5647 80,000-89,999 0 < 1
## 5648 <NA> <NA> 1-2
## 5649 <NA> <NA> 5-10
## 5650 <NA> <NA> < 1
## 5651 100,000-124,999 10,000-99,999 10-20
## 5652 5,000-7,499 1-99 1-2
## 5653 <NA> <NA> 1-2
## 5654 2,000-2,999 0 1-2
## 5655 60,000-69,999 100-999 < 1
## 5656 100,000-124,999 100-999 None
## 5657 <NA> <NA> 5-10
## 5658 <NA> <NA> < 1
## 5659 60,000-69,999 0 10-20
## 5660 5,000-7,499 0 3-5
## 5661 5,000-7,499 0 1-2
## 5662 10,000-14,999 0 < 1
## 5663 70,000-79,999 0 20+
## 5664 40,000-49,999 > 100,000 10-20
## 5665 30,000-39,999 > 100,000 5-10
## 5666 <NA> <NA> < 1
## 5667 2,000-2,999 1000-9,999 1-2
## 5668 80,000-89,999 1-99 None
## 5669 125,000-149,999 1000-9,999 10-20
## 5670 0-999 1-99 1-2
## 5671 1,000-1,999 100-999 < 1
## 5672 <NA> <NA> < 1
## 5673 7,500-9,999 1000-9,999 3-5
## 5674 150,000-199,999 10,000-99,999 20+
## 5675 70,000-79,999 1-99 5-10
## 5676 30,000-39,999 10,000-99,999 < 1
## 5677 <NA> <NA> < 1
## 5678 40,000-49,999 1000-9,999 3-5
## 5679 100,000-124,999 1000-9,999 5-10
## 5680 <NA> <NA> 1-2
## 5681 <NA> <NA> <NA>
## 5682 0-999 1-99 1-2
## 5683 15,000-19,999 100-999 1-2
## 5684 125,000-149,999 0 1-2
## 5685 1,000-1,999 0 < 1
## 5686 <NA> <NA> 1-2
## 5687 90,000-99,999 10,000-99,999 3-5
## 5688 20,000-24,999 1000-9,999 3-5
## 5689 0-999 1000-9,999 None
## 5690 10,000-14,999 0 3-5
## 5691 1,000-1,999 0 5-10
## 5692 60,000-69,999 100-999 1-2
## 5693 <NA> <NA> < 1
## 5694 <NA> <NA> 3-5
## 5695 60,000-69,999 0 < 1
## 5696 5,000-7,499 0 1-2
## 5697 10,000-14,999 1000-9,999 3-5
## 5698 20,000-24,999 10,000-99,999 1-2
## 5699 70,000-79,999 10,000-99,999 3-5
## 5700 10,000-14,999 10,000-99,999 3-5
## 5701 <NA> <NA> 3-5
## 5702 10,000-14,999 1-99 < 1
## 5703 <NA> <NA> < 1
## 5704 1,000-1,999 0 < 1
## 5705 50,000-59,999 0 1-2
## 5706 4,000-4,999 1-99 3-5
## 5707 15,000-19,999 0 < 1
## 5708 30,000-39,999 > 100,000 10-20
## 5709 100,000-124,999 10,000-99,999 5-10
## 5710 60,000-69,999 100-999 1-2
## 5711 125,000-149,999 1000-9,999 5-10
## 5712 0-999 0 < 1
## 5713 1,000-1,999 100-999 1-2
## 5714 90,000-99,999 > 100,000 < 1
## 5715 30,000-39,999 10,000-99,999 3-5
## 5716 80,000-89,999 10,000-99,999 5-10
## 5717 5,000-7,499 1-99 1-2
## 5718 20,000-24,999 0 1-2
## 5719 150,000-199,999 1000-9,999 1-2
## 5720 <NA> <NA> < 1
## 5721 <NA> <NA> < 1
## 5722 10,000-14,999 100-999 3-5
## 5723 10,000-14,999 100-999 5-10
## 5724 0-999 0 None
## 5725 <NA> <NA> 5-10
## 5726 <NA> <NA> < 1
## 5727 10,000-14,999 100-999 1-2
## 5728 <NA> <NA> 1-2
## 5729 10,000-14,999 1000-9,999 10-20
## 5730 40,000-49,999 > 100,000 5-10
## 5731 90,000-99,999 100-999 None
## 5732 <NA> <NA> 1-2
## 5733 70,000-79,999 1000-9,999 3-5
## 5734 0-999 1-99 None
## 5735 70,000-79,999 0 1-2
## 5736 10,000-14,999 1-99 3-5
## 5737 1,000-1,999 1000-9,999 1-2
## 5738 5,000-7,499 0 < 1
## 5739 100,000-124,999 > 100,000 5-10
## 5740 1,000-1,999 0 3-5
## 5741 20,000-24,999 100-999 3-5
## 5742 <NA> <NA> < 1
## 5743 125,000-149,999 10,000-99,999 5-10
## 5744 0-999 0 None
## 5745 <NA> <NA> < 1
## 5746 3,000-3,999 0 1-2
## 5747 <NA> <NA> 1-2
## 5748 <NA> <NA> 1-2
## 5749 40,000-49,999 1-99 5-10
## 5750 7,500-9,999 1000-9,999 < 1
## 5751 <NA> <NA> 3-5
## 5752 2,000-2,999 100-999 < 1
## 5753 5,000-7,499 0 None
## 5754 25,000-29,999 0 None
## 5755 <NA> <NA> < 1
## 5756 <NA> <NA> 1-2
## 5757 1,000-1,999 1000-9,999 3-5
## 5758 25,000-29,999 0 5-10
## 5759 10,000-14,999 1000-9,999 1-2
## 5760 <NA> <NA> < 1
## 5761 <NA> <NA> 1-2
## 5762 125,000-149,999 > 100,000 1-2
## 5763 <NA> <NA> < 1
## 5764 <NA> <NA> 5-10
## 5765 10,000-14,999 10,000-99,999 3-5
## 5766 125,000-149,999 10,000-99,999 1-2
## 5767 70,000-79,999 > 100,000 1-2
## 5768 <NA> <NA> None
## 5769 <NA> <NA> < 1
## 5770 40,000-49,999 0 20+
## 5771 0-999 0 1-2
## 5772 20,000-24,999 100-999 5-10
## 5773 150,000-199,999 > 100,000 10-20
## 5774 1,000-1,999 0 1-2
## 5775 4,000-4,999 0 None
## 5776 1,000-1,999 100-999 3-5
## 5777 20,000-24,999 > 100,000 5-10
## 5778 10,000-14,999 0 1-2
## 5779 <NA> <NA> < 1
## 5780 20,000-24,999 0 3-5
## 5781 30,000-39,999 1-99 1-2
## 5782 30,000-39,999 > 100,000 < 1
## 5783 20,000-24,999 0 5-10
## 5784 150,000-199,999 > 100,000 5-10
## 5785 <NA> <NA> < 1
## 5786 10,000-14,999 0 None
## 5787 <NA> <NA> < 1
## 5788 20,000-24,999 0 < 1
## 5789 2,000-2,999 1-99 1-2
## 5790 <NA> <NA> 1-2
## 5791 125,000-149,999 1000-9,999 5-10
## 5792 <NA> <NA> 1-2
## 5793 <NA> <NA> 1-2
## 5794 7,500-9,999 1-99 1-2
## 5795 30,000-39,999 100-999 5-10
## 5796 0-999 1000-9,999 5-10
## 5797 <NA> <NA> 3-5
## 5798 50,000-59,999 10,000-99,999 5-10
## 5799 10,000-14,999 1000-9,999 10-20
## 5800 40,000-49,999 1-99 3-5
## 5801 60,000-69,999 100-999 5-10
## 5802 <NA> <NA> < 1
## 5803 <NA> <NA> < 1
## 5804 2,000-2,999 1000-9,999 1-2
## 5805 10,000-14,999 0 1-2
## 5806 100,000-124,999 1000-9,999 1-2
## 5807 25,000-29,999 10,000-99,999 3-5
## 5808 50,000-59,999 10,000-99,999 20+
## 5809 15,000-19,999 100-999 3-5
## 5810 125,000-149,999 > 100,000 5-10
## 5811 5,000-7,499 1-99 1-2
## 5812 <NA> <NA> 1-2
## 5813 150,000-199,999 10,000-99,999 3-5
## 5814 30,000-39,999 1000-9,999 5-10
## 5815 0-999 1-99 5-10
## 5816 10,000-14,999 1000-9,999 20+
## 5817 7,500-9,999 1-99 < 1
## 5818 > 500,000 > 100,000 20+
## 5819 <NA> <NA> < 1
## 5820 100,000-124,999 1000-9,999 3-5
## 5821 40,000-49,999 > 100,000 < 1
## 5822 0-999 1-99 1-2
## 5823 20,000-24,999 1000-9,999 1-2
## 5824 1,000-1,999 > 100,000 < 1
## 5825 5,000-7,499 1-99 1-2
## 5826 100,000-124,999 1000-9,999 3-5
## 5827 10,000-14,999 0 3-5
## 5828 50,000-59,999 1-99 3-5
## 5829 15,000-19,999 0 < 1
## 5830 150,000-199,999 0 3-5
## 5831 20,000-24,999 100-999 1-2
## 5832 <NA> <NA> 5-10
## 5833 <NA> <NA> 1-2
## 5834 30,000-39,999 1000-9,999 3-5
## 5835 <NA> <NA> 3-5
## 5836 300,000-500,000 > 100,000 10-20
## 5837 40,000-49,999 0 10-20
## 5838 20,000-24,999 0 3-5
## 5839 10,000-14,999 100-999 1-2
## 5840 5,000-7,499 1000-9,999 < 1
## 5841 3,000-3,999 1-99 10-20
## 5842 90,000-99,999 10,000-99,999 5-10
## 5843 200,000-249,999 0 20+
## 5844 90,000-99,999 1000-9,999 1-2
## 5845 125,000-149,999 1000-9,999 20+
## 5846 5,000-7,499 1000-9,999 1-2
## 5847 200,000-249,999 > 100,000 10-20
## 5848 <NA> <NA> < 1
## 5849 30,000-39,999 0 5-10
## 5850 <NA> <NA> 3-5
## 5851 <NA> <NA> < 1
## 5852 60,000-69,999 100-999 3-5
## 5853 40,000-49,999 10,000-99,999 5-10
## 5854 125,000-149,999 0 20+
## 5855 <NA> <NA> < 1
## 5856 <NA> <NA> < 1
## 5857 20,000-24,999 100-999 < 1
## 5858 10,000-14,999 100-999 1-2
## 5859 <NA> <NA> < 1
## 5860 2,000-2,999 100-999 3-5
## 5861 90,000-99,999 > 100,000 5-10
## 5862 10,000-14,999 0 3-5
## 5863 > 500,000 > 100,000 20+
## 5864 1,000-1,999 1000-9,999 1-2
## 5865 <NA> <NA> 1-2
## 5866 100,000-124,999 1000-9,999 10-20
## 5867 <NA> <NA> 3-5
## 5868 10,000-14,999 10,000-99,999 10-20
## 5869 <NA> <NA> < 1
## 5870 50,000-59,999 1000-9,999 5-10
## 5871 80,000-89,999 0 5-10
## 5872 100,000-124,999 > 100,000 1-2
## 5873 30,000-39,999 0 5-10
## 5874 <NA> <NA> 3-5
## 5875 60,000-69,999 1000-9,999 3-5
## 5876 10,000-14,999 1-99 1-2
## 5877 0-999 10,000-99,999 10-20
## 5878 100,000-124,999 0 5-10
## 5879 20,000-24,999 1-99 < 1
## 5880 4,000-4,999 1-99 < 1
## 5881 1,000-1,999 1000-9,999 1-2
## 5882 5,000-7,499 0 1-2
## 5883 0-999 1-99 3-5
## 5884 200,000-249,999 > 100,000 3-5
## 5885 0-999 0 5-10
## 5886 <NA> <NA> 3-5
## 5887 70,000-79,999 > 100,000 20+
## 5888 30,000-39,999 100-999 3-5
## 5889 150,000-199,999 > 100,000 3-5
## 5890 50,000-59,999 1000-9,999 5-10
## 5891 60,000-69,999 0 1-2
## 5892 70,000-79,999 0 3-5
## 5893 30,000-39,999 1000-9,999 1-2
## 5894 100,000-124,999 0 1-2
## 5895 4,000-4,999 0 5-10
## 5896 <NA> <NA> < 1
## 5897 <NA> <NA> < 1
## 5898 25,000-29,999 1000-9,999 3-5
## 5899 <NA> <NA> < 1
## 5900 70,000-79,999 > 100,000 5-10
## 5901 0-999 0 < 1
## 5902 70,000-79,999 100-999 5-10
## 5903 <NA> <NA> None
## 5904 50,000-59,999 0 None
## 5905 <NA> <NA> < 1
## 5906 80,000-89,999 1000-9,999 1-2
## 5907 20,000-24,999 100-999 1-2
## 5908 30,000-39,999 100-999 3-5
## 5909 3,000-3,999 1-99 1-2
## 5910 150,000-199,999 1-99 3-5
## 5911 50,000-59,999 0 < 1
## 5912 30,000-39,999 0 5-10
## 5913 60,000-69,999 10,000-99,999 5-10
## 5914 1,000-1,999 1000-9,999 10-20
## 5915 40,000-49,999 1-99 3-5
## 5916 100,000-124,999 > 100,000 10-20
## 5917 125,000-149,999 > 100,000 10-20
## 5918 70,000-79,999 10,000-99,999 10-20
## 5919 150,000-199,999 1000-9,999 5-10
## 5920 125,000-149,999 10,000-99,999 5-10
## 5921 30,000-39,999 > 100,000 5-10
## 5922 60,000-69,999 0 3-5
## 5923 0-999 1-99 1-2
## 5924 <NA> <NA> < 1
## 5925 40,000-49,999 1000-9,999 10-20
## 5926 <NA> <NA> < 1
## 5927 150,000-199,999 1000-9,999 5-10
## 5928 <NA> <NA> 1-2
## 5929 150,000-199,999 1000-9,999 20+
## 5930 60,000-69,999 1000-9,999 1-2
## 5931 125,000-149,999 1-99 10-20
## 5932 60,000-69,999 1000-9,999 10-20
## 5933 50,000-59,999 1000-9,999 3-5
## 5934 100,000-124,999 > 100,000 10-20
## 5935 100,000-124,999 > 100,000 3-5
## 5936 70,000-79,999 1-99 1-2
## 5937 125,000-149,999 > 100,000 10-20
## 5938 50,000-59,999 0 5-10
## 5939 <NA> <NA> 1-2
## 5940 40,000-49,999 1000-9,999 < 1
## 5941 <NA> <NA> < 1
## 5942 20,000-24,999 100-999 1-2
## 5943 3,000-3,999 1-99 < 1
## 5944 70,000-79,999 0 3-5
## 5945 <NA> <NA> 1-2
## 5946 40,000-49,999 1-99 5-10
## 5947 125,000-149,999 0 5-10
## 5948 150,000-199,999 1000-9,999 3-5
## 5949 <NA> <NA> < 1
## 5950 0-999 1000-9,999 10-20
## 5951 5,000-7,499 1000-9,999 3-5
## 5952 50,000-59,999 0 5-10
## 5953 70,000-79,999 10,000-99,999 3-5
## 5954 70,000-79,999 0 5-10
## 5955 80,000-89,999 0 1-2
## 5956 0-999 0 1-2
## 5957 50,000-59,999 100-999 20+
## 5958 150,000-199,999 > 100,000 3-5
## 5959 <NA> <NA> 3-5
## 5960 80,000-89,999 100-999 1-2
## 5961 200,000-249,999 10,000-99,999 20+
## 5962 70,000-79,999 100-999 1-2
## 5963 0-999 1-99 1-2
## 5964 70,000-79,999 1000-9,999 10-20
## 5965 <NA> <NA> 1-2
## 5966 150,000-199,999 > 100,000 10-20
## 5967 125,000-149,999 1000-9,999 5-10
## 5968 15,000-19,999 1-99 5-10
## 5969 4,000-4,999 0 < 1
## 5970 2,000-2,999 100-999 3-5
## 5971 70,000-79,999 0 1-2
## 5972 100,000-124,999 0 10-20
## 5973 50,000-59,999 1000-9,999 3-5
## 5974 <NA> <NA> 3-5
## 5975 2,000-2,999 1000-9,999 1-2
## 5976 40,000-49,999 100-999 1-2
## 5977 20,000-24,999 0 < 1
## 5978 125,000-149,999 0 5-10
## 5979 40,000-49,999 0 1-2
## 5980 <NA> <NA> 5-10
## 5981 10,000-14,999 0 3-5
## 5982 100,000-124,999 0 3-5
## 5983 70,000-79,999 1000-9,999 5-10
## 5984 0-999 100-999 3-5
## 5985 125,000-149,999 1-99 10-20
## 5986 40,000-49,999 100-999 < 1
## 5987 0-999 0 < 1
## 5988 100,000-124,999 100-999 3-5
## 5989 5,000-7,499 1000-9,999 3-5
## 5990 100,000-124,999 1000-9,999 5-10
## 5991 50,000-59,999 0 5-10
## 5992 20,000-24,999 0 10-20
## 5993 <NA> <NA> < 1
## 5994 0-999 100-999 1-2
## 5995 5,000-7,499 1000-9,999 5-10
## 5996 <NA> <NA> 1-2
## 5997 80,000-89,999 0 3-5
## 5998 40,000-49,999 100-999 3-5
## 5999 <NA> <NA> < 1
## 6000 <NA> <NA> 3-5
## 6001 <NA> <NA> < 1
## 6002 3,000-3,999 > 100,000 5-10
## 6003 <NA> <NA> < 1
## 6004 40,000-49,999 0 10-20
## 6005 7,500-9,999 0 None
## 6006 80,000-89,999 1000-9,999 3-5
## 6007 <NA> <NA> 1-2
## 6008 100,000-124,999 1000-9,999 10-20
## 6009 4,000-4,999 100-999 1-2
## 6010 3,000-3,999 0 < 1
## 6011 125,000-149,999 0 3-5
## 6012 7,500-9,999 0 None
## 6013 3,000-3,999 100-999 1-2
## 6014 10,000-14,999 > 100,000 3-5
## 6015 <NA> <NA> < 1
## 6016 70,000-79,999 100-999 20+
## 6017 2,000-2,999 100-999 1-2
## 6018 <NA> <NA> 1-2
## 6019 <NA> <NA> 3-5
## 6020 <NA> <NA> None
## 6021 <NA> <NA> < 1
## 6022 0-999 1000-9,999 None
## 6023 0-999 0 None
## 6024 100,000-124,999 10,000-99,999 10-20
## 6025 125,000-149,999 0 20+
## 6026 <NA> <NA> < 1
## 6027 2,000-2,999 1000-9,999 5-10
## 6028 20,000-24,999 > 100,000 5-10
## 6029 80,000-89,999 100-999 5-10
## 6030 5,000-7,499 100-999 1-2
## 6031 90,000-99,999 100-999 3-5
## 6032 <NA> <NA> 1-2
## 6033 100,000-124,999 100-999 5-10
## 6034 <NA> <NA> None
## 6035 0-999 1-99 1-2
## 6036 20,000-24,999 0 1-2
## 6037 10,000-14,999 1-99 1-2
## 6038 <NA> <NA> 1-2
## 6039 15,000-19,999 100-999 < 1
## 6040 <NA> <NA> 1-2
## 6041 <NA> <NA> 1-2
## 6042 0-999 1-99 < 1
## 6043 <NA> <NA> < 1
## 6044 100,000-124,999 > 100,000 10-20
## 6045 90,000-99,999 10,000-99,999 5-10
## 6046 <NA> <NA> < 1
## 6047 0-999 0 None
## 6048 60,000-69,999 0 10-20
## 6049 1,000-1,999 1000-9,999 1-2
## 6050 30,000-39,999 1-99 None
## 6051 40,000-49,999 0 1-2
## 6052 25,000-29,999 1000-9,999 3-5
## 6053 5,000-7,499 0 3-5
## 6054 <NA> <NA> < 1
## 6055 0-999 0 < 1
## 6056 <NA> <NA> None
## 6057 2,000-2,999 10,000-99,999 < 1
## 6058 1,000-1,999 0 3-5
## 6059 15,000-19,999 10,000-99,999 1-2
## 6060 1,000-1,999 0 1-2
## 6061 <NA> <NA> < 1
## 6062 25,000-29,999 0 5-10
## 6063 5,000-7,499 1-99 10-20
## 6064 7,500-9,999 > 100,000 1-2
## 6065 30,000-39,999 1000-9,999 5-10
## 6066 90,000-99,999 100-999 10-20
## 6067 50,000-59,999 1000-9,999 10-20
## 6068 1,000-1,999 0 None
## 6069 <NA> <NA> < 1
## 6070 40,000-49,999 100-999 10-20
## 6071 0-999 0 < 1
## 6072 70,000-79,999 10,000-99,999 3-5
## 6073 <NA> <NA> < 1
## 6074 40,000-49,999 10,000-99,999 1-2
## 6075 <NA> <NA> < 1
## 6076 <NA> <NA> < 1
## 6077 90,000-99,999 100-999 10-20
## 6078 <NA> <NA> 3-5
## 6079 200,000-249,999 0 20+
## 6080 40,000-49,999 10,000-99,999 5-10
## 6081 50,000-59,999 0 3-5
## 6082 50,000-59,999 > 100,000 5-10
## 6083 <NA> <NA> None
## 6084 30,000-39,999 100-999 3-5
## 6085 <NA> <NA> < 1
## 6086 <NA> <NA> < 1
## 6087 <NA> <NA> 1-2
## 6088 20,000-24,999 0 5-10
## 6089 10,000-14,999 0 < 1
## 6090 30,000-39,999 0 1-2
## 6091 25,000-29,999 100-999 3-5
## 6092 <NA> <NA> 1-2
## 6093 <NA> <NA> None
## 6094 1,000-1,999 0 < 1
## 6095 3,000-3,999 0 < 1
## 6096 0-999 0 < 1
## 6097 15,000-19,999 0 1-2
## 6098 25,000-29,999 0 < 1
## 6099 <NA> <NA> 1-2
## 6100 0-999 0 < 1
## 6101 100,000-124,999 > 100,000 3-5
## 6102 <NA> <NA> < 1
## 6103 <NA> <NA> 1-2
## 6104 40,000-49,999 100-999 20+
## 6105 25,000-29,999 100-999 3-5
## 6106 <NA> <NA> < 1
## 6107 3,000-3,999 0 < 1
## 6108 <NA> <NA> 3-5
## 6109 10,000-14,999 100-999 1-2
## 6110 0-999 1-99 None
## 6111 80,000-89,999 10,000-99,999 5-10
## 6112 <NA> <NA> < 1
## 6113 125,000-149,999 10,000-99,999 20+
## 6114 0-999 0 1-2
## 6115 150,000-199,999 10,000-99,999 3-5
## 6116 0-999 1000-9,999 < 1
## 6117 200,000-249,999 0 5-10
## 6118 5,000-7,499 1000-9,999 1-2
## 6119 7,500-9,999 1-99 1-2
## 6120 10,000-14,999 1000-9,999 3-5
## 6121 4,000-4,999 1000-9,999 < 1
## 6122 <NA> <NA> < 1
## 6123 <NA> <NA> 1-2
## 6124 0-999 0 None
## 6125 40,000-49,999 100-999 < 1
## 6126 80,000-89,999 > 100,000 3-5
## 6127 3,000-3,999 1000-9,999 < 1
## 6128 200,000-249,999 > 100,000 20+
## 6129 70,000-79,999 1000-9,999 3-5
## 6130 40,000-49,999 1-99 3-5
## 6131 100,000-124,999 10,000-99,999 5-10
## 6132 <NA> <NA> < 1
## 6133 10,000-14,999 0 < 1
## 6134 10,000-14,999 100-999 1-2
## 6135 80,000-89,999 100-999 10-20
## 6136 <NA> <NA> None
## 6137 150,000-199,999 1000-9,999 20+
## 6138 <NA> <NA> 5-10
## 6139 50,000-59,999 1-99 1-2
## 6140 60,000-69,999 1000-9,999 10-20
## 6141 250,000-299,999 0 5-10
## 6142 150,000-199,999 10,000-99,999 10-20
## 6143 60,000-69,999 1000-9,999 3-5
## 6144 90,000-99,999 1-99 3-5
## 6145 70,000-79,999 100-999 1-2
## 6146 10,000-14,999 0 < 1
## 6147 60,000-69,999 0 1-2
## 6148 70,000-79,999 0 < 1
## 6149 <NA> <NA> 1-2
## 6150 0-999 100-999 < 1
## 6151 90,000-99,999 1000-9,999 10-20
## 6152 70,000-79,999 1000-9,999 < 1
## 6153 4,000-4,999 100-999 < 1
## 6154 25,000-29,999 1000-9,999 5-10
## 6155 150,000-199,999 0 5-10
## 6156 90,000-99,999 10,000-99,999 5-10
## 6157 90,000-99,999 0 3-5
## 6158 3,000-3,999 1-99 1-2
## 6159 4,000-4,999 10,000-99,999 < 1
## 6160 150,000-199,999 10,000-99,999 10-20
## 6161 <NA> <NA> 3-5
## 6162 <NA> <NA> < 1
## 6163 <NA> <NA> 1-2
## 6164 300,000-500,000 > 100,000 20+
## 6165 40,000-49,999 1000-9,999 3-5
## 6166 3,000-3,999 0 3-5
## 6167 10,000-14,999 100-999 3-5
## 6168 125,000-149,999 1000-9,999 1-2
## 6169 <NA> <NA> 3-5
## 6170 125,000-149,999 > 100,000 20+
## 6171 30,000-39,999 100-999 5-10
## 6172 1,000-1,999 0 < 1
## 6173 40,000-49,999 100-999 3-5
## 6174 60,000-69,999 0 < 1
## 6175 1,000-1,999 0 5-10
## 6176 <NA> <NA> < 1
## 6177 60,000-69,999 1-99 5-10
## 6178 15,000-19,999 1-99 1-2
## 6179 <NA> <NA> 3-5
## 6180 <NA> <NA> 5-10
## 6181 40,000-49,999 0 3-5
## 6182 40,000-49,999 1000-9,999 3-5
## 6183 90,000-99,999 100-999 5-10
## 6184 10,000-14,999 0 1-2
## 6185 20,000-24,999 1-99 1-2
## 6186 200,000-249,999 0 5-10
## 6187 50,000-59,999 > 100,000 5-10
## 6188 <NA> <NA> < 1
## 6189 <NA> <NA> None
## 6190 2,000-2,999 1-99 5-10
## 6191 200,000-249,999 100-999 5-10
## 6192 30,000-39,999 > 100,000 1-2
## 6193 20,000-24,999 100-999 3-5
## 6194 15,000-19,999 0 1-2
## 6195 80,000-89,999 0 None
## 6196 70,000-79,999 0 1-2
## 6197 80,000-89,999 0 < 1
## 6198 2,000-2,999 0 < 1
## 6199 70,000-79,999 1000-9,999 10-20
## 6200 4,000-4,999 100-999 3-5
## 6201 <NA> <NA> < 1
## 6202 100,000-124,999 > 100,000 3-5
## 6203 30,000-39,999 1000-9,999 5-10
## 6204 80,000-89,999 10,000-99,999 10-20
## 6205 15,000-19,999 0 3-5
## 6206 <NA> <NA> < 1
## 6207 30,000-39,999 100-999 3-5
## 6208 100,000-124,999 1000-9,999 < 1
## 6209 1,000-1,999 0 1-2
## 6210 5,000-7,499 1-99 1-2
## 6211 50,000-59,999 1-99 1-2
## 6212 150,000-199,999 > 100,000 20+
## 6213 4,000-4,999 1-99 5-10
## 6214 100,000-124,999 1000-9,999 1-2
## 6215 5,000-7,499 100-999 < 1
## 6216 90,000-99,999 0 10-20
## 6217 100,000-124,999 0 3-5
## 6218 5,000-7,499 0 5-10
## 6219 <NA> <NA> 10-20
## 6220 25,000-29,999 0 None
## 6221 50,000-59,999 1000-9,999 1-2
## 6222 90,000-99,999 0 10-20
## 6223 10,000-14,999 1-99 5-10
## 6224 60,000-69,999 100-999 < 1
## 6225 40,000-49,999 0 5-10
## 6226 50,000-59,999 0 5-10
## 6227 100,000-124,999 10,000-99,999 10-20
## 6228 <NA> <NA> 1-2
## 6229 15,000-19,999 10,000-99,999 3-5
## 6230 0-999 100-999 < 1
## 6231 <NA> <NA> None
## 6232 1,000-1,999 1-99 < 1
## 6233 125,000-149,999 10,000-99,999 10-20
## 6234 150,000-199,999 1000-9,999 5-10
## 6235 40,000-49,999 100-999 3-5
## 6236 40,000-49,999 0 10-20
## 6237 2,000-2,999 0 1-2
## 6238 100,000-124,999 10,000-99,999 1-2
## 6239 0-999 100-999 None
## 6240 3,000-3,999 > 100,000 5-10
## 6241 <NA> <NA> 1-2
## 6242 100,000-124,999 0 < 1
## 6243 <NA> <NA> 3-5
## 6244 <NA> <NA> 1-2
## 6245 80,000-89,999 0 20+
## 6246 100,000-124,999 1000-9,999 < 1
## 6247 <NA> <NA> 3-5
## 6248 60,000-69,999 1000-9,999 3-5
## 6249 100,000-124,999 100-999 10-20
## 6250 40,000-49,999 100-999 3-5
## 6251 80,000-89,999 0 10-20
## 6252 0-999 100-999 1-2
## 6253 100,000-124,999 1000-9,999 < 1
## 6254 0-999 1-99 3-5
## 6255 2,000-2,999 0 1-2
## 6256 90,000-99,999 10,000-99,999 5-10
## 6257 <NA> <NA> 3-5
## 6258 30,000-39,999 0 3-5
## 6259 150,000-199,999 0 < 1
## 6260 125,000-149,999 1000-9,999 None
## 6261 30,000-39,999 0 5-10
## 6262 90,000-99,999 10,000-99,999 20+
## 6263 80,000-89,999 10,000-99,999 10-20
## 6264 <NA> <NA> 1-2
## 6265 150,000-199,999 > 100,000 5-10
## 6266 30,000-39,999 > 100,000 5-10
## 6267 300,000-500,000 > 100,000 10-20
## 6268 60,000-69,999 1000-9,999 5-10
## 6269 <NA> <NA> < 1
## 6270 80,000-89,999 1000-9,999 5-10
## 6271 <NA> <NA> 10-20
## 6272 <NA> <NA> 3-5
## 6273 10,000-14,999 > 100,000 3-5
## 6274 200,000-249,999 10,000-99,999 10-20
## 6275 3,000-3,999 0 None
## 6276 15,000-19,999 1-99 1-2
## 6277 100,000-124,999 0 3-5
## 6278 150,000-199,999 1000-9,999 5-10
## 6279 25,000-29,999 0 3-5
## 6280 <NA> <NA> 1-2
## 6281 90,000-99,999 0 20+
## 6282 3,000-3,999 0 None
## 6283 80,000-89,999 1000-9,999 5-10
## 6284 90,000-99,999 0 5-10
## 6285 <NA> <NA> < 1
## 6286 70,000-79,999 0 3-5
## 6287 60,000-69,999 1-99 3-5
## 6288 10,000-14,999 1-99 3-5
## 6289 <NA> <NA> < 1
## 6290 7,500-9,999 1000-9,999 1-2
## 6291 <NA> <NA> None
## 6292 150,000-199,999 0 20+
## 6293 50,000-59,999 100-999 None
## 6294 0-999 1000-9,999 1-2
## 6295 <NA> <NA> < 1
## 6296 <NA> <NA> < 1
## 6297 <NA> <NA> None
## 6298 > 500,000 10,000-99,999 3-5
## 6299 5,000-7,499 1000-9,999 1-2
## 6300 10,000-14,999 0 None
## 6301 10,000-14,999 0 3-5
## 6302 125,000-149,999 10,000-99,999 3-5
## 6303 <NA> <NA> < 1
## 6304 20,000-24,999 0 None
## 6305 5,000-7,499 1000-9,999 3-5
## 6306 0-999 100-999 1-2
## 6307 <NA> <NA> 1-2
## 6308 125,000-149,999 > 100,000 3-5
## 6309 100,000-124,999 10,000-99,999 5-10
## 6310 60,000-69,999 0 10-20
## 6311 <NA> <NA> 1-2
## 6312 <NA> <NA> < 1
## 6313 0-999 100-999 < 1
## 6314 15,000-19,999 100-999 1-2
## 6315 <NA> <NA> 1-2
## 6316 50,000-59,999 0 5-10
## 6317 20,000-24,999 0 5-10
## 6318 5,000-7,499 0 < 1
## 6319 30,000-39,999 1-99 3-5
## 6320 60,000-69,999 1000-9,999 3-5
## 6321 30,000-39,999 10,000-99,999 10-20
## 6322 50,000-59,999 1000-9,999 5-10
## 6323 70,000-79,999 0 3-5
## 6324 2,000-2,999 100-999 5-10
## 6325 25,000-29,999 1-99 5-10
## 6326 <NA> <NA> < 1
## 6327 60,000-69,999 0 3-5
## 6328 50,000-59,999 1000-9,999 3-5
## 6329 80,000-89,999 100-999 10-20
## 6330 30,000-39,999 1000-9,999 5-10
## 6331 <NA> <NA> < 1
## 6332 10,000-14,999 0 3-5
## 6333 <NA> <NA> 5-10
## 6334 3,000-3,999 1-99 1-2
## 6335 50,000-59,999 0 5-10
## 6336 70,000-79,999 0 5-10
## 6337 60,000-69,999 10,000-99,999 None
## 6338 <NA> <NA> < 1
## 6339 30,000-39,999 0 1-2
## 6340 10,000-14,999 1000-9,999 1-2
## 6341 50,000-59,999 1-99 < 1
## 6342 10,000-14,999 0 < 1
## 6343 125,000-149,999 1-99 10-20
## 6344 200,000-249,999 10,000-99,999 10-20
## 6345 150,000-199,999 > 100,000 5-10
## 6346 90,000-99,999 100-999 5-10
## 6347 <NA> <NA> 3-5
## 6348 0-999 0 None
## 6349 100,000-124,999 0 20+
## 6350 <NA> <NA> < 1
## 6351 125,000-149,999 > 100,000 1-2
## 6352 90,000-99,999 > 100,000 5-10
## 6353 7,500-9,999 100-999 1-2
## 6354 40,000-49,999 1000-9,999 1-2
## 6355 0-999 0 1-2
## 6356 5,000-7,499 0 1-2
## 6357 0-999 1000-9,999 1-2
## 6358 1,000-1,999 0 None
## 6359 <NA> <NA> 1-2
## 6360 30,000-39,999 1-99 < 1
## 6361 125,000-149,999 1000-9,999 5-10
## 6362 100,000-124,999 > 100,000 3-5
## 6363 2,000-2,999 1000-9,999 10-20
## 6364 3,000-3,999 100-999 1-2
## 6365 <NA> <NA> < 1
## 6366 <NA> <NA> 1-2
## 6367 7,500-9,999 0 1-2
## 6368 70,000-79,999 0 3-5
## 6369 125,000-149,999 > 100,000 3-5
## 6370 40,000-49,999 100-999 5-10
## 6371 4,000-4,999 10,000-99,999 3-5
## 6372 0-999 1-99 1-2
## 6373 0-999 0 < 1
## 6374 20,000-24,999 0 5-10
## 6375 0-999 1-99 < 1
## 6376 10,000-14,999 1-99 1-2
## 6377 70,000-79,999 10,000-99,999 3-5
## 6378 20,000-24,999 100-999 3-5
## 6379 125,000-149,999 1000-9,999 1-2
## 6380 70,000-79,999 100-999 1-2
## 6381 7,500-9,999 10,000-99,999 < 1
## 6382 <NA> <NA> 3-5
## 6383 60,000-69,999 100-999 None
## 6384 100,000-124,999 100-999 5-10
## 6385 7,500-9,999 1000-9,999 < 1
## 6386 150,000-199,999 10,000-99,999 5-10
## 6387 250,000-299,999 10,000-99,999 20+
## 6388 100,000-124,999 10,000-99,999 10-20
## 6389 60,000-69,999 0 < 1
## 6390 <NA> <NA> < 1
## 6391 50,000-59,999 0 5-10
## 6392 20,000-24,999 1-99 3-5
## 6393 10,000-14,999 100-999 3-5
## 6394 0-999 0 < 1
## 6395 5,000-7,499 10,000-99,999 3-5
## 6396 100,000-124,999 10,000-99,999 10-20
## 6397 100,000-124,999 100-999 3-5
## 6398 <NA> <NA> < 1
## 6399 <NA> <NA> None
## 6400 <NA> <NA> < 1
## 6401 15,000-19,999 1000-9,999 3-5
## 6402 150,000-199,999 10,000-99,999 3-5
## 6403 2,000-2,999 100-999 < 1
## 6404 80,000-89,999 1-99 5-10
## 6405 1,000-1,999 100-999 < 1
## 6406 80,000-89,999 100-999 3-5
## 6407 0-999 100-999 10-20
## 6408 25,000-29,999 10,000-99,999 5-10
## 6409 <NA> <NA> 5-10
## 6410 <NA> <NA> 1-2
## 6411 0-999 100-999 < 1
## 6412 50,000-59,999 0 1-2
## 6413 20,000-24,999 1000-9,999 3-5
## 6414 25,000-29,999 10,000-99,999 10-20
## 6415 3,000-3,999 1000-9,999 5-10
## 6416 3,000-3,999 0 3-5
## 6417 <NA> <NA> < 1
## 6418 0-999 1000-9,999 3-5
## 6419 0-999 100-999 5-10
## 6420 30,000-39,999 1-99 3-5
## 6421 7,500-9,999 0 < 1
## 6422 70,000-79,999 0 10-20
## 6423 10,000-14,999 100-999 5-10
## 6424 <NA> <NA> 3-5
## 6425 3,000-3,999 1-99 3-5
## 6426 10,000-14,999 0 < 1
## 6427 0-999 0 3-5
## 6428 20,000-24,999 10,000-99,999 10-20
## 6429 40,000-49,999 0 5-10
## 6430 90,000-99,999 1000-9,999 5-10
## 6431 <NA> <NA> < 1
## 6432 125,000-149,999 1000-9,999 3-5
## 6433 0-999 0 < 1
## 6434 70,000-79,999 1-99 3-5
## 6435 10,000-14,999 0 < 1
## 6436 <NA> <NA> None
## 6437 125,000-149,999 10,000-99,999 5-10
## 6438 > 500,000 0 5-10
## 6439 0-999 100-999 3-5
## 6440 80,000-89,999 100-999 1-2
## 6441 <NA> <NA> < 1
## 6442 0-999 0 1-2
## 6443 20,000-24,999 10,000-99,999 3-5
## 6444 100,000-124,999 > 100,000 5-10
## 6445 300,000-500,000 10,000-99,999 10-20
## 6446 1,000-1,999 0 < 1
## 6447 20,000-24,999 0 < 1
## 6448 70,000-79,999 100-999 < 1
## 6449 7,500-9,999 1-99 1-2
## 6450 3,000-3,999 0 None
## 6451 <NA> <NA> None
## 6452 <NA> <NA> None
## 6453 20,000-24,999 > 100,000 3-5
## 6454 <NA> <NA> < 1
## 6455 <NA> <NA> 1-2
## 6456 <NA> <NA> 1-2
## 6457 5,000-7,499 1-99 1-2
## 6458 <NA> <NA> 3-5
## 6459 <NA> <NA> < 1
## 6460 <NA> <NA> < 1
## 6461 30,000-39,999 0 3-5
## 6462 20,000-24,999 0 3-5
## 6463 <NA> <NA> None
## 6464 0-999 0 10-20
## 6465 <NA> <NA> < 1
## 6466 0-999 0 1-2
## 6467 150,000-199,999 0 < 1
## 6468 30,000-39,999 10,000-99,999 1-2
## 6469 7,500-9,999 0 3-5
## 6470 10,000-14,999 0 5-10
## 6471 15,000-19,999 1-99 None
## 6472 <NA> <NA> < 1
## 6473 40,000-49,999 0 None
## 6474 <NA> <NA> 1-2
## 6475 200,000-249,999 > 100,000 5-10
## 6476 1,000-1,999 1000-9,999 < 1
## 6477 60,000-69,999 0 5-10
## 6478 20,000-24,999 > 100,000 1-2
## 6479 90,000-99,999 10,000-99,999 5-10
## 6480 <NA> <NA> < 1
## 6481 40,000-49,999 0 1-2
## 6482 7,500-9,999 0 < 1
## 6483 5,000-7,499 10,000-99,999 1-2
## 6484 70,000-79,999 100-999 5-10
## 6485 3,000-3,999 1000-9,999 1-2
## 6486 20,000-24,999 1000-9,999 3-5
## 6487 <NA> <NA> 1-2
## 6488 150,000-199,999 0 10-20
## 6489 30,000-39,999 1000-9,999 1-2
## 6490 60,000-69,999 1000-9,999 3-5
## 6491 90,000-99,999 100-999 5-10
## 6492 150,000-199,999 1-99 10-20
## 6493 50,000-59,999 0 None
## 6494 125,000-149,999 1000-9,999 3-5
## 6495 <NA> <NA> 3-5
## 6496 <NA> <NA> < 1
## 6497 90,000-99,999 1000-9,999 5-10
## 6498 <NA> <NA> < 1
## 6499 50,000-59,999 0 3-5
## 6500 <NA> <NA> 1-2
## 6501 20,000-24,999 0 3-5
## 6502 25,000-29,999 100-999 3-5
## 6503 125,000-149,999 100-999 1-2
## 6504 <NA> <NA> 1-2
## 6505 2,000-2,999 1000-9,999 5-10
## 6506 60,000-69,999 1000-9,999 3-5
## 6507 70,000-79,999 10,000-99,999 20+
## 6508 <NA> <NA> < 1
## 6509 40,000-49,999 0 1-2
## 6510 1,000-1,999 100-999 < 1
## 6511 100,000-124,999 0 5-10
## 6512 100,000-124,999 0 None
## 6513 0-999 1-99 3-5
## 6514 7,500-9,999 0 1-2
## 6515 10,000-14,999 0 1-2
## 6516 <NA> <NA> < 1
## 6517 20,000-24,999 10,000-99,999 5-10
## 6518 125,000-149,999 > 100,000 5-10
## 6519 100,000-124,999 1000-9,999 10-20
## 6520 <NA> <NA> 1-2
## 6521 1,000-1,999 0 3-5
## 6522 50,000-59,999 10,000-99,999 5-10
## 6523 20,000-24,999 0 1-2
## 6524 40,000-49,999 1000-9,999 5-10
## 6525 <NA> <NA> 1-2
## 6526 80,000-89,999 1-99 10-20
## 6527 4,000-4,999 0 < 1
## 6528 50,000-59,999 0 10-20
## 6529 60,000-69,999 1000-9,999 5-10
## 6530 30,000-39,999 0 3-5
## 6531 30,000-39,999 1000-9,999 5-10
## 6532 <NA> <NA> 3-5
## 6533 30,000-39,999 0 3-5
## 6534 <NA> <NA> < 1
## 6535 70,000-79,999 > 100,000 10-20
## 6536 0-999 1000-9,999 3-5
## 6537 10,000-14,999 1000-9,999 1-2
## 6538 300,000-500,000 1-99 < 1
## 6539 <NA> <NA> 1-2
## 6540 60,000-69,999 1000-9,999 5-10
## 6541 40,000-49,999 0 1-2
## 6542 <NA> <NA> 1-2
## 6543 150,000-199,999 1000-9,999 1-2
## 6544 7,500-9,999 1000-9,999 < 1
## 6545 50,000-59,999 100-999 < 1
## 6546 30,000-39,999 0 5-10
## 6547 0-999 100-999 < 1
## 6548 10,000-14,999 > 100,000 5-10
## 6549 15,000-19,999 1-99 < 1
## 6550 <NA> <NA> < 1
## 6551 10,000-14,999 0 3-5
## 6552 0-999 1000-9,999 1-2
## 6553 20,000-24,999 0 5-10
## 6554 5,000-7,499 1-99 1-2
## 6555 1,000-1,999 1000-9,999 3-5
## 6556 30,000-39,999 100-999 5-10
## 6557 <NA> <NA> 1-2
## 6558 10,000-14,999 100-999 < 1
## 6559 4,000-4,999 0 < 1
## 6560 <NA> <NA> None
## 6561 80,000-89,999 0 10-20
## 6562 100,000-124,999 100-999 5-10
## 6563 5,000-7,499 1000-9,999 1-2
## 6564 20,000-24,999 0 1-2
## 6565 50,000-59,999 1000-9,999 20+
## 6566 <NA> <NA> 5-10
## 6567 2,000-2,999 100-999 None
## 6568 0-999 0 1-2
## 6569 30,000-39,999 0 None
## 6570 <NA> <NA> < 1
## 6571 7,500-9,999 0 < 1
## 6572 1,000-1,999 0 1-2
## 6573 <NA> <NA> < 1
## 6574 50,000-59,999 1000-9,999 10-20
## 6575 2,000-2,999 1000-9,999 5-10
## 6576 60,000-69,999 1000-9,999 5-10
## 6577 5,000-7,499 0 < 1
## 6578 <NA> <NA> 1-2
## 6579 0-999 1-99 3-5
## 6580 90,000-99,999 100-999 10-20
## 6581 <NA> <NA> None
## 6582 100,000-124,999 1-99 1-2
## 6583 10,000-14,999 1000-9,999 3-5
## 6584 200,000-249,999 0 3-5
## 6585 2,000-2,999 0 3-5
## 6586 40,000-49,999 0 3-5
## 6587 7,500-9,999 0 < 1
## 6588 10,000-14,999 0 < 1
## 6589 40,000-49,999 0 3-5
## 6590 0-999 100-999 < 1
## 6591 70,000-79,999 0 < 1
## 6592 3,000-3,999 1-99 < 1
## 6593 <NA> <NA> 1-2
## 6594 1,000-1,999 1-99 3-5
## 6595 100,000-124,999 10,000-99,999 20+
## 6596 <NA> <NA> 1-2
## 6597 3,000-3,999 100-999 < 1
## 6598 40,000-49,999 100-999 1-2
## 6599 20,000-24,999 0 5-10
## 6600 0-999 1-99 < 1
## 6601 <NA> <NA> < 1
## 6602 80,000-89,999 1-99 3-5
## 6603 15,000-19,999 100-999 < 1
## 6604 0-999 0 < 1
## 6605 30,000-39,999 100-999 3-5
## 6606 1,000-1,999 0 1-2
## 6607 3,000-3,999 100-999 20+
## 6608 25,000-29,999 100-999 5-10
## 6609 0-999 0 5-10
## 6610 50,000-59,999 100-999 3-5
## 6611 30,000-39,999 10,000-99,999 < 1
## 6612 10,000-14,999 10,000-99,999 3-5
## 6613 <NA> <NA> < 1
## 6614 80,000-89,999 0 3-5
## 6615 2,000-2,999 0 1-2
## 6616 40,000-49,999 10,000-99,999 5-10
## 6617 10,000-14,999 0 None
## 6618 3,000-3,999 100-999 1-2
## 6619 90,000-99,999 > 100,000 1-2
## 6620 0-999 100-999 < 1
## 6621 0-999 1000-9,999 < 1
## 6622 15,000-19,999 0 < 1
## 6623 7,500-9,999 100-999 < 1
## 6624 200,000-249,999 1000-9,999 3-5
## 6625 <NA> <NA> 1-2
## 6626 15,000-19,999 1-99 3-5
## 6627 40,000-49,999 1000-9,999 10-20
## 6628 40,000-49,999 100-999 20+
## 6629 <NA> <NA> 1-2
## 6630 <NA> <NA> < 1
## 6631 20,000-24,999 1-99 < 1
## 6632 1,000-1,999 100-999 < 1
## 6633 30,000-39,999 1-99 5-10
## 6634 15,000-19,999 1000-9,999 1-2
## 6635 70,000-79,999 1000-9,999 20+
## 6636 2,000-2,999 1000-9,999 1-2
## 6637 70,000-79,999 10,000-99,999 1-2
## 6638 3,000-3,999 0 1-2
## 6639 10,000-14,999 0 1-2
## 6640 <NA> <NA> 3-5
## 6641 3,000-3,999 100-999 < 1
## 6642 40,000-49,999 > 100,000 1-2
## 6643 1,000-1,999 0 3-5
## 6644 150,000-199,999 1000-9,999 20+
## 6645 25,000-29,999 1000-9,999 5-10
## 6646 70,000-79,999 > 100,000 5-10
## 6647 40,000-49,999 1-99 1-2
## 6648 <NA> <NA> 3-5
## 6649 4,000-4,999 100-999 1-2
## 6650 20,000-24,999 1000-9,999 3-5
## 6651 1,000-1,999 0 1-2
## 6652 70,000-79,999 0 3-5
## 6653 30,000-39,999 100-999 < 1
## 6654 25,000-29,999 1-99 1-2
## 6655 80,000-89,999 0 3-5
## 6656 <NA> <NA> 1-2
## 6657 <NA> <NA> 1-2
## 6658 2,000-2,999 0 1-2
## 6659 50,000-59,999 1000-9,999 10-20
## 6660 80,000-89,999 0 < 1
## 6661 <NA> <NA> 1-2
## 6662 50,000-59,999 100-999 3-5
## 6663 40,000-49,999 0 3-5
## 6664 70,000-79,999 10,000-99,999 10-20
## 6665 4,000-4,999 100-999 1-2
## 6666 125,000-149,999 0 < 1
## 6667 <NA> <NA> < 1
## 6668 0-999 0 < 1
## 6669 300,000-500,000 100-999 3-5
## 6670 0-999 0 < 1
## 6671 15,000-19,999 1-99 < 1
## 6672 100,000-124,999 0 1-2
## 6673 <NA> <NA> < 1
## 6674 <NA> <NA> < 1
## 6675 30,000-39,999 1000-9,999 3-5
## 6676 <NA> <NA> 1-2
## 6677 <NA> <NA> < 1
## 6678 50,000-59,999 0 3-5
## 6679 90,000-99,999 > 100,000 5-10
## 6680 0-999 100-999 3-5
## 6681 <NA> <NA> 1-2
## 6682 40,000-49,999 100-999 1-2
## 6683 <NA> <NA> < 1
## 6684 7,500-9,999 1000-9,999 10-20
## 6685 <NA> <NA> < 1
## 6686 3,000-3,999 100-999 < 1
## 6687 50,000-59,999 > 100,000 10-20
## 6688 50,000-59,999 0 3-5
## 6689 50,000-59,999 > 100,000 3-5
## 6690 <NA> <NA> None
## 6691 25,000-29,999 100-999 < 1
## 6692 125,000-149,999 0 10-20
## 6693 40,000-49,999 0 5-10
## 6694 <NA> <NA> 3-5
## 6695 20,000-24,999 100-999 3-5
## 6696 125,000-149,999 0 3-5
## 6697 0-999 1-99 < 1
## 6698 150,000-199,999 100-999 3-5
## 6699 4,000-4,999 0 3-5
## 6700 80,000-89,999 0 3-5
## 6701 25,000-29,999 0 3-5
## 6702 <NA> <NA> < 1
## 6703 <NA> <NA> None
## 6704 125,000-149,999 1000-9,999 3-5
## 6705 30,000-39,999 1-99 1-2
## 6706 100,000-124,999 0 1-2
## 6707 1,000-1,999 0 1-2
## 6708 <NA> <NA> 1-2
## 6709 40,000-49,999 100-999 3-5
## 6710 <NA> <NA> < 1
## 6711 50,000-59,999 > 100,000 5-10
## 6712 0-999 0 3-5
## 6713 <NA> <NA> None
## 6714 80,000-89,999 10,000-99,999 5-10
## 6715 15,000-19,999 1-99 < 1
## 6716 90,000-99,999 10,000-99,999 None
## 6717 100,000-124,999 0 5-10
## 6718 <NA> <NA> < 1
## 6719 <NA> <NA> None
## 6720 50,000-59,999 10,000-99,999 5-10
## 6721 50,000-59,999 1000-9,999 None
## 6722 125,000-149,999 > 100,000 10-20
## 6723 60,000-69,999 0 5-10
## 6724 10,000-14,999 0 1-2
## 6725 5,000-7,499 0 10-20
## 6726 0-999 0 < 1
## 6727 <NA> <NA> 1-2
## 6728 50,000-59,999 0 1-2
## 6729 <NA> <NA> 1-2
## 6730 <NA> <NA> < 1
## 6731 10,000-14,999 0 3-5
## 6732 1,000-1,999 1-99 5-10
## 6733 <NA> <NA> < 1
## 6734 40,000-49,999 0 3-5
## 6735 <NA> <NA> 20+
## 6736 20,000-24,999 0 3-5
## 6737 50,000-59,999 100-999 3-5
## 6738 <NA> <NA> < 1
## 6739 <NA> <NA> < 1
## 6740 40,000-49,999 1000-9,999 1-2
## 6741 7,500-9,999 1000-9,999 5-10
## 6742 200,000-249,999 0 20+
## 6743 80,000-89,999 0 1-2
## 6744 100,000-124,999 0 3-5
## 6745 80,000-89,999 > 100,000 < 1
## 6746 10,000-14,999 0 3-5
## 6747 2,000-2,999 1-99 1-2
## 6748 30,000-39,999 1-99 10-20
## 6749 4,000-4,999 0 3-5
## 6750 50,000-59,999 0 5-10
## 6751 25,000-29,999 100-999 3-5
## 6752 125,000-149,999 > 100,000 5-10
## 6753 5,000-7,499 100-999 3-5
## 6754 5,000-7,499 0 3-5
## 6755 100,000-124,999 0 1-2
## 6756 125,000-149,999 0 5-10
## 6757 <NA> <NA> < 1
## 6758 60,000-69,999 1-99 3-5
## 6759 1,000-1,999 100-999 3-5
## 6760 100,000-124,999 10,000-99,999 3-5
## 6761 100,000-124,999 1000-9,999 3-5
## 6762 25,000-29,999 1-99 < 1
## 6763 <NA> <NA> None
## 6764 15,000-19,999 0 1-2
## 6765 2,000-2,999 100-999 1-2
## 6766 15,000-19,999 0 < 1
## 6767 <NA> <NA> < 1
## 6768 4,000-4,999 1000-9,999 1-2
## 6769 125,000-149,999 1-99 10-20
## 6770 125,000-149,999 0 5-10
## 6771 25,000-29,999 1000-9,999 1-2
## 6772 25,000-29,999 > 100,000 3-5
## 6773 25,000-29,999 1000-9,999 3-5
## 6774 70,000-79,999 10,000-99,999 10-20
## 6775 0-999 1000-9,999 1-2
## 6776 <NA> <NA> 1-2
## 6777 200,000-249,999 > 100,000 5-10
## 6778 0-999 1-99 < 1
## 6779 20,000-24,999 1000-9,999 3-5
## 6780 20,000-24,999 100-999 None
## 6781 <NA> <NA> 1-2
## 6782 10,000-14,999 1-99 3-5
## 6783 <NA> <NA> < 1
## 6784 <NA> <NA> None
## 6785 60,000-69,999 10,000-99,999 5-10
## 6786 50,000-59,999 0 None
## 6787 <NA> <NA> < 1
## 6788 60,000-69,999 > 100,000 5-10
## 6789 <NA> <NA> < 1
## 6790 <NA> <NA> < 1
## 6791 0-999 0 < 1
## 6792 <NA> <NA> < 1
## 6793 100,000-124,999 1000-9,999 5-10
## 6794 15,000-19,999 100-999 1-2
## 6795 60,000-69,999 0 3-5
## 6796 <NA> <NA> < 1
## 6797 <NA> <NA> < 1
## 6798 40,000-49,999 100-999 < 1
## 6799 0-999 100-999 < 1
## 6800 30,000-39,999 > 100,000 < 1
## 6801 20,000-24,999 1000-9,999 1-2
## 6802 7,500-9,999 100-999 3-5
## 6803 0-999 1000-9,999 3-5
## 6804 5,000-7,499 1000-9,999 1-2
## 6805 250,000-299,999 1000-9,999 10-20
## 6806 60,000-69,999 10,000-99,999 3-5
## 6807 20,000-24,999 100-999 < 1
## 6808 <NA> <NA> < 1
## 6809 0-999 1-99 1-2
## 6810 <NA> <NA> 1-2
## 6811 20,000-24,999 100-999 None
## 6812 90,000-99,999 > 100,000 1-2
## 6813 10,000-14,999 0 3-5
## 6814 40,000-49,999 1-99 3-5
## 6815 <NA> <NA> < 1
## 6816 40,000-49,999 100-999 5-10
## 6817 0-999 0 1-2
## 6818 2,000-2,999 1-99 1-2
## 6819 15,000-19,999 0 1-2
## 6820 2,000-2,999 > 100,000 < 1
## 6821 30,000-39,999 1-99 3-5
## 6822 0-999 1000-9,999 < 1
## 6823 70,000-79,999 > 100,000 5-10
## 6824 50,000-59,999 0 5-10
## 6825 <NA> <NA> 1-2
## 6826 4,000-4,999 1000-9,999 3-5
## 6827 15,000-19,999 0 None
## 6828 <NA> <NA> < 1
## 6829 150,000-199,999 > 100,000 10-20
## 6830 100,000-124,999 1000-9,999 1-2
## 6831 10,000-14,999 100-999 5-10
## 6832 90,000-99,999 0 3-5
## 6833 <NA> <NA> None
## 6834 80,000-89,999 0 1-2
## 6835 30,000-39,999 100-999 None
## 6836 1,000-1,999 1-99 < 1
## 6837 100,000-124,999 10,000-99,999 1-2
## 6838 200,000-249,999 0 3-5
## 6839 5,000-7,499 > 100,000 3-5
## 6840 40,000-49,999 100-999 3-5
## 6841 50,000-59,999 0 < 1
## 6842 3,000-3,999 100-999 3-5
## 6843 <NA> <NA> < 1
## 6844 90,000-99,999 0 3-5
## 6845 10,000-14,999 1000-9,999 3-5
## 6846 2,000-2,999 0 < 1
## 6847 <NA> <NA> < 1
## 6848 2,000-2,999 100-999 1-2
## 6849 40,000-49,999 10,000-99,999 3-5
## 6850 30,000-39,999 10,000-99,999 10-20
## 6851 2,000-2,999 0 < 1
## 6852 50,000-59,999 1-99 5-10
## 6853 <NA> <NA> 1-2
## 6854 <NA> <NA> < 1
## 6855 <NA> <NA> 1-2
## 6856 <NA> <NA> 3-5
## 6857 <NA> <NA> 1-2
## 6858 1,000-1,999 100-999 < 1
## 6859 125,000-149,999 > 100,000 20+
## 6860 <NA> <NA> 3-5
## 6861 90,000-99,999 0 1-2
## 6862 100,000-124,999 10,000-99,999 3-5
## 6863 80,000-89,999 10,000-99,999 1-2
## 6864 <NA> <NA> 3-5
## 6865 90,000-99,999 1000-9,999 5-10
## 6866 150,000-199,999 1000-9,999 10-20
## 6867 <NA> <NA> 1-2
## 6868 5,000-7,499 0 5-10
## 6869 30,000-39,999 100-999 3-5
## 6870 60,000-69,999 > 100,000 3-5
## 6871 <NA> <NA> 1-2
## 6872 15,000-19,999 100-999 3-5
## 6873 90,000-99,999 > 100,000 10-20
## 6874 <NA> <NA> < 1
## 6875 <NA> <NA> < 1
## 6876 7,500-9,999 0 < 1
## 6877 <NA> <NA> < 1
## 6878 <NA> <NA> < 1
## 6879 125,000-149,999 10,000-99,999 5-10
## 6880 90,000-99,999 0 3-5
## 6881 <NA> <NA> 1-2
## 6882 7,500-9,999 10,000-99,999 < 1
## 6883 <NA> <NA> 1-2
## 6884 <NA> <NA> 1-2
## 6885 50,000-59,999 10,000-99,999 3-5
## 6886 125,000-149,999 1000-9,999 3-5
## 6887 40,000-49,999 0 1-2
## 6888 70,000-79,999 100-999 5-10
## 6889 70,000-79,999 0 1-2
## 6890 2,000-2,999 0 < 1
## 6891 30,000-39,999 10,000-99,999 3-5
## 6892 30,000-39,999 0 5-10
## 6893 0-999 1-99 1-2
## 6894 25,000-29,999 1-99 < 1
## 6895 2,000-2,999 1000-9,999 < 1
## 6896 80,000-89,999 10,000-99,999 5-10
## 6897 60,000-69,999 100-999 None
## 6898 > 500,000 0 None
## 6899 30,000-39,999 10,000-99,999 10-20
## 6900 200,000-249,999 > 100,000 1-2
## 6901 50,000-59,999 0 10-20
## 6902 60,000-69,999 1000-9,999 1-2
## 6903 30,000-39,999 10,000-99,999 3-5
## 6904 90,000-99,999 100-999 < 1
## 6905 80,000-89,999 > 100,000 10-20
## 6906 0-999 100-999 5-10
## 6907 <NA> <NA> 1-2
## 6908 100,000-124,999 10,000-99,999 1-2
## 6909 <NA> <NA> 1-2
## 6910 40,000-49,999 > 100,000 < 1
## 6911 40,000-49,999 10,000-99,999 5-10
## 6912 90,000-99,999 1-99 10-20
## 6913 300,000-500,000 > 100,000 20+
## 6914 2,000-2,999 100-999 5-10
## 6915 4,000-4,999 100-999 3-5
## 6916 0-999 0 1-2
## 6917 <NA> <NA> 1-2
## 6918 <NA> <NA> < 1
## 6919 <NA> <NA> 10-20
## 6920 <NA> <NA> 1-2
## 6921 <NA> <NA> 1-2
## 6922 40,000-49,999 10,000-99,999 < 1
## 6923 7,500-9,999 100-999 3-5
## 6924 <NA> <NA> 1-2
## 6925 <NA> <NA> 1-2
## 6926 0-999 0 < 1
## 6927 60,000-69,999 0 5-10
## 6928 15,000-19,999 100-999 1-2
## 6929 <NA> <NA> 3-5
## 6930 0-999 0 < 1
## 6931 2,000-2,999 10,000-99,999 3-5
## 6932 <NA> <NA> 1-2
## 6933 <NA> <NA> 5-10
## 6934 20,000-24,999 0 1-2
## 6935 60,000-69,999 100-999 1-2
## 6936 <NA> <NA> 1-2
## 6937 50,000-59,999 > 100,000 5-10
## 6938 20,000-24,999 100-999 < 1
## 6939 <NA> <NA> < 1
## 6940 3,000-3,999 100-999 1-2
## 6941 70,000-79,999 1000-9,999 20+
## 6942 0-999 0 3-5
## 6943 5,000-7,499 0 1-2
## 6944 40,000-49,999 1-99 < 1
## 6945 10,000-14,999 0 3-5
## 6946 <NA> <NA> < 1
## 6947 0-999 0 < 1
## 6948 1,000-1,999 0 < 1
## 6949 40,000-49,999 10,000-99,999 3-5
## 6950 20,000-24,999 1000-9,999 3-5
## 6951 70,000-79,999 100-999 3-5
## 6952 15,000-19,999 1000-9,999 5-10
## 6953 <NA> <NA> 3-5
## 6954 2,000-2,999 1-99 1-2
## 6955 5,000-7,499 0 1-2
## 6956 <NA> <NA> < 1
## 6957 <NA> <NA> < 1
## 6958 <NA> <NA> < 1
## 6959 <NA> <NA> 3-5
## 6960 100,000-124,999 1000-9,999 3-5
## 6961 50,000-59,999 0 3-5
## 6962 90,000-99,999 0 1-2
## 6963 <NA> <NA> 3-5
## 6964 5,000-7,499 0 < 1
## 6965 1,000-1,999 0 < 1
## 6966 100,000-124,999 1000-9,999 3-5
## 6967 25,000-29,999 0 1-2
## 6968 <NA> <NA> < 1
## 6969 <NA> <NA> 1-2
## 6970 40,000-49,999 0 < 1
## 6971 20,000-24,999 1-99 3-5
## 6972 20,000-24,999 0 3-5
## 6973 4,000-4,999 0 20+
## 6974 1,000-1,999 100-999 < 1
## 6975 > 500,000 > 100,000 3-5
## 6976 100,000-124,999 10,000-99,999 5-10
## 6977 60,000-69,999 1-99 1-2
## 6978 30,000-39,999 1000-9,999 3-5
## 6979 125,000-149,999 10,000-99,999 3-5
## 6980 0-999 1-99 < 1
## 6981 150,000-199,999 0 10-20
## 6982 20,000-24,999 0 3-5
## 6983 200,000-249,999 > 100,000 20+
## 6984 150,000-199,999 10,000-99,999 5-10
## 6985 7,500-9,999 100-999 None
## 6986 1,000-1,999 1000-9,999 5-10
## 6987 125,000-149,999 1-99 5-10
## 6988 <NA> <NA> 10-20
## 6989 100,000-124,999 1000-9,999 10-20
## 6990 7,500-9,999 100-999 1-2
## 6991 <NA> <NA> < 1
## 6992 <NA> <NA> 1-2
## 6993 40,000-49,999 0 3-5
## 6994 50,000-59,999 0 20+
## 6995 > 500,000 1000-9,999 20+
## 6996 <NA> <NA> < 1
## 6997 125,000-149,999 1000-9,999 3-5
## 6998 2,000-2,999 10,000-99,999 5-10
## 6999 <NA> <NA> None
## 7000 <NA> <NA> < 1
## 7001 <NA> <NA> < 1
## 7002 15,000-19,999 1000-9,999 1-2
## 7003 0-999 0 1-2
## 7004 <NA> <NA> < 1
## 7005 25,000-29,999 100-999 < 1
## 7006 25,000-29,999 1000-9,999 3-5
## 7007 70,000-79,999 100-999 3-5
## 7008 40,000-49,999 1000-9,999 < 1
## 7009 <NA> <NA> 1-2
## 7010 70,000-79,999 1000-9,999 < 1
## 7011 50,000-59,999 0 < 1
## 7012 150,000-199,999 10,000-99,999 20+
## 7013 0-999 0 < 1
## 7014 4,000-4,999 0 < 1
## 7015 60,000-69,999 10,000-99,999 3-5
## 7016 5,000-7,499 1000-9,999 1-2
## 7017 90,000-99,999 100-999 < 1
## 7018 30,000-39,999 1-99 < 1
## 7019 125,000-149,999 > 100,000 5-10
## 7020 125,000-149,999 1-99 5-10
## 7021 15,000-19,999 0 5-10
## 7022 7,500-9,999 > 100,000 10-20
## 7023 0-999 1-99 1-2
## 7024 150,000-199,999 0 5-10
## 7025 150,000-199,999 100-999 1-2
## 7026 15,000-19,999 1-99 1-2
## 7027 0-999 1-99 < 1
## 7028 125,000-149,999 100-999 10-20
## 7029 40,000-49,999 1-99 5-10
## 7030 15,000-19,999 1-99 None
## 7031 <NA> <NA> < 1
## 7032 5,000-7,499 0 1-2
## 7033 3,000-3,999 100-999 5-10
## 7034 50,000-59,999 1000-9,999 5-10
## 7035 20,000-24,999 0 1-2
## 7036 10,000-14,999 10,000-99,999 1-2
## 7037 <NA> <NA> 3-5
## 7038 100,000-124,999 > 100,000 3-5
## 7039 10,000-14,999 0 5-10
## 7040 <NA> <NA> 5-10
## 7041 80,000-89,999 > 100,000 5-10
## 7042 <NA> <NA> 1-2
## 7043 7,500-9,999 100-999 < 1
## 7044 1,000-1,999 10,000-99,999 20+
## 7045 30,000-39,999 0 1-2
## 7046 <NA> <NA> 1-2
## 7047 40,000-49,999 0 1-2
## 7048 <NA> <NA> 1-2
## 7049 100,000-124,999 10,000-99,999 5-10
## 7050 50,000-59,999 0 10-20
## 7051 125,000-149,999 1000-9,999 5-10
## 7052 25,000-29,999 1000-9,999 5-10
## 7053 <NA> <NA> < 1
## 7054 70,000-79,999 1000-9,999 3-5
## 7055 5,000-7,499 100-999 5-10
## 7056 <NA> <NA> 1-2
## 7057 80,000-89,999 10,000-99,999 3-5
## 7058 100,000-124,999 0 < 1
## 7059 <NA> <NA> < 1
## 7060 0-999 0 < 1
## 7061 20,000-24,999 0 5-10
## 7062 4,000-4,999 0 < 1
## 7063 15,000-19,999 10,000-99,999 3-5
## 7064 5,000-7,499 1000-9,999 1-2
## 7065 0-999 1-99 < 1
## 7066 40,000-49,999 0 10-20
## 7067 15,000-19,999 100-999 5-10
## 7068 <NA> <NA> 1-2
## 7069 0-999 100-999 < 1
## 7070 <NA> <NA> 5-10
## 7071 5,000-7,499 0 1-2
## 7072 7,500-9,999 0 None
## 7073 4,000-4,999 1000-9,999 1-2
## 7074 <NA> <NA> 1-2
## 7075 10,000-14,999 1-99 < 1
## 7076 100,000-124,999 1000-9,999 10-20
## 7077 50,000-59,999 > 100,000 1-2
## 7078 30,000-39,999 0 5-10
## 7079 100,000-124,999 100-999 3-5
## 7080 125,000-149,999 1000-9,999 5-10
## 7081 200,000-249,999 > 100,000 10-20
## 7082 40,000-49,999 > 100,000 3-5
## 7083 <NA> <NA> < 1
## 7084 40,000-49,999 100-999 3-5
## 7085 10,000-14,999 > 100,000 5-10
## 7086 15,000-19,999 1000-9,999 5-10
## 7087 4,000-4,999 0 1-2
## 7088 100,000-124,999 1000-9,999 3-5
## 7089 0-999 100-999 1-2
## 7090 <NA> <NA> 1-2
## 7091 <NA> <NA> < 1
## 7092 70,000-79,999 0 3-5
## 7093 0-999 1-99 1-2
## 7094 <NA> <NA> < 1
## 7095 15,000-19,999 100-999 1-2
## 7096 <NA> <NA> 1-2
## 7097 80,000-89,999 100-999 < 1
## 7098 7,500-9,999 1000-9,999 5-10
## 7099 <NA> <NA> < 1
## 7100 <NA> <NA> 5-10
## 7101 2,000-2,999 100-999 3-5
## 7102 50,000-59,999 0 1-2
## 7103 50,000-59,999 1000-9,999 3-5
## 7104 90,000-99,999 1000-9,999 5-10
## 7105 40,000-49,999 1000-9,999 1-2
## 7106 20,000-24,999 0 20+
## 7107 5,000-7,499 0 < 1
## 7108 <NA> <NA> < 1
## 7109 15,000-19,999 0 < 1
## 7110 40,000-49,999 1000-9,999 5-10
## 7111 4,000-4,999 100-999 5-10
## 7112 30,000-39,999 0 10-20
## 7113 <NA> <NA> < 1
## 7114 15,000-19,999 100-999 3-5
## 7115 30,000-39,999 100-999 < 1
## 7116 <NA> <NA> 1-2
## 7117 <NA> <NA> 1-2
## 7118 <NA> <NA> 1-2
## 7119 150,000-199,999 10,000-99,999 < 1
## 7120 15,000-19,999 1000-9,999 3-5
## 7121 <NA> <NA> 1-2
## 7122 100,000-124,999 0 20+
## 7123 100,000-124,999 1000-9,999 20+
## 7124 <NA> <NA> 3-5
## 7125 250,000-299,999 10,000-99,999 10-20
## 7126 <NA> <NA> None
## 7127 125,000-149,999 10,000-99,999 1-2
## 7128 10,000-14,999 0 5-10
## 7129 25,000-29,999 > 100,000 1-2
## 7130 40,000-49,999 1-99 < 1
## 7131 80,000-89,999 100-999 10-20
## 7132 40,000-49,999 > 100,000 3-5
## 7133 <NA> <NA> < 1
## 7134 <NA> <NA> None
## 7135 0-999 0 3-5
## 7136 90,000-99,999 0 10-20
## 7137 0-999 1000-9,999 < 1
## 7138 15,000-19,999 0 3-5
## 7139 30,000-39,999 > 100,000 3-5
## 7140 <NA> <NA> 1-2
## 7141 30,000-39,999 1000-9,999 5-10
## 7142 25,000-29,999 100-999 1-2
## 7143 <NA> <NA> None
## 7144 100,000-124,999 10,000-99,999 10-20
## 7145 40,000-49,999 0 3-5
## 7146 150,000-199,999 0 10-20
## 7147 150,000-199,999 > 100,000 5-10
## 7148 <NA> <NA> 1-2
## 7149 0-999 0 < 1
## 7150 50,000-59,999 0 1-2
## 7151 0-999 0 5-10
## 7152 10,000-14,999 0 None
## 7153 <NA> <NA> None
## 7154 20,000-24,999 100-999 1-2
## 7155 <NA> <NA> < 1
## 7156 > 500,000 0 10-20
## 7157 125,000-149,999 1000-9,999 5-10
## 7158 <NA> <NA> < 1
## 7159 3,000-3,999 100-999 None
## 7160 <NA> <NA> 3-5
## 7161 <NA> <NA> 1-2
## 7162 80,000-89,999 1000-9,999 20+
## 7163 15,000-19,999 100-999 3-5
## 7164 40,000-49,999 0 3-5
## 7165 150,000-199,999 1000-9,999 5-10
## 7166 15,000-19,999 1000-9,999 < 1
## 7167 30,000-39,999 100-999 3-5
## 7168 0-999 0 1-2
## 7169 10,000-14,999 1-99 < 1
## 7170 80,000-89,999 10,000-99,999 3-5
## 7171 <NA> <NA> 3-5
## 7172 50,000-59,999 10,000-99,999 5-10
## 7173 <NA> <NA> < 1
## 7174 <NA> <NA> < 1
## 7175 80,000-89,999 10,000-99,999 10-20
## 7176 <NA> <NA> < 1
## 7177 90,000-99,999 10,000-99,999 20+
## 7178 1,000-1,999 0 < 1
## 7179 250,000-299,999 10,000-99,999 1-2
## 7180 60,000-69,999 1000-9,999 < 1
## 7181 0-999 0 1-2
## 7182 50,000-59,999 100-999 10-20
## 7183 <NA> <NA> 1-2
## 7184 50,000-59,999 100-999 10-20
## 7185 <NA> <NA> < 1
## 7186 5,000-7,499 0 1-2
## 7187 0-999 0 3-5
## 7188 2,000-2,999 0 1-2
## 7189 40,000-49,999 > 100,000 10-20
## 7190 <NA> <NA> < 1
## 7191 <NA> <NA> 1-2
## 7192 70,000-79,999 100-999 1-2
## 7193 <NA> <NA> < 1
## 7194 <NA> <NA> 1-2
## 7195 <NA> <NA> 1-2
## 7196 150,000-199,999 > 100,000 20+
## 7197 0-999 0 3-5
## 7198 <NA> <NA> 3-5
## 7199 100,000-124,999 1000-9,999 1-2
## 7200 > 500,000 > 100,000 10-20
## 7201 30,000-39,999 1000-9,999 3-5
## 7202 40,000-49,999 > 100,000 10-20
## 7203 <NA> <NA> < 1
## 7204 125,000-149,999 > 100,000 1-2
## 7205 80,000-89,999 1000-9,999 10-20
## 7206 125,000-149,999 10,000-99,999 5-10
## 7207 80,000-89,999 > 100,000 5-10
## 7208 <NA> <NA> 5-10
## 7209 60,000-69,999 1000-9,999 3-5
## 7210 10,000-14,999 10,000-99,999 3-5
## 7211 100,000-124,999 1-99 1-2
## 7212 10,000-14,999 1000-9,999 1-2
## 7213 25,000-29,999 1000-9,999 < 1
## 7214 0-999 1-99 < 1
## 7215 <NA> <NA> < 1
## 7216 <NA> <NA> < 1
## 7217 0-999 0 < 1
## 7218 <NA> <NA> < 1
## 7219 10,000-14,999 10,000-99,999 3-5
## 7220 0-999 1-99 3-5
## 7221 <NA> <NA> < 1
## 7222 10,000-14,999 0 < 1
## 7223 100,000-124,999 > 100,000 5-10
## 7224 <NA> <NA> 3-5
## 7225 <NA> <NA> < 1
## 7226 150,000-199,999 10,000-99,999 20+
## 7227 <NA> <NA> 3-5
## 7228 <NA> <NA> < 1
## 7229 60,000-69,999 1000-9,999 1-2
## 7230 100,000-124,999 1000-9,999 3-5
## 7231 60,000-69,999 0 1-2
## 7232 <NA> <NA> 1-2
## 7233 10,000-14,999 100-999 < 1
## 7234 60,000-69,999 10,000-99,999 5-10
## 7235 125,000-149,999 1000-9,999 1-2
## 7236 60,000-69,999 0 5-10
## 7237 3,000-3,999 0 10-20
## 7238 70,000-79,999 1000-9,999 1-2
## 7239 90,000-99,999 0 1-2
## 7240 2,000-2,999 0 < 1
## 7241 0-999 0 5-10
## 7242 70,000-79,999 10,000-99,999 1-2
## 7243 <NA> <NA> 5-10
## 7244 <NA> <NA> < 1
## 7245 50,000-59,999 100-999 1-2
## 7246 <NA> <NA> 1-2
## 7247 40,000-49,999 > 100,000 5-10
## 7248 90,000-99,999 1000-9,999 3-5
## 7249 50,000-59,999 100-999 None
## 7250 0-999 0 1-2
## 7251 25,000-29,999 100-999 3-5
## 7252 5,000-7,499 0 < 1
## 7253 100,000-124,999 1000-9,999 10-20
## 7254 80,000-89,999 10,000-99,999 5-10
## 7255 10,000-14,999 1-99 < 1
## 7256 25,000-29,999 0 3-5
## 7257 80,000-89,999 10,000-99,999 3-5
## 7258 20,000-24,999 100-999 1-2
## 7259 2,000-2,999 10,000-99,999 5-10
## 7260 20,000-24,999 1000-9,999 1-2
## 7261 <NA> <NA> 3-5
## 7262 30,000-39,999 100-999 3-5
## 7263 0-999 0 None
## 7264 125,000-149,999 10,000-99,999 3-5
## 7265 0-999 1-99 None
## 7266 <NA> <NA> 3-5
## 7267 70,000-79,999 > 100,000 3-5
## 7268 50,000-59,999 > 100,000 3-5
## 7269 30,000-39,999 0 5-10
## 7270 0-999 1-99 3-5
## 7271 80,000-89,999 0 5-10
## 7272 15,000-19,999 0 5-10
## 7273 60,000-69,999 10,000-99,999 20+
## 7274 60,000-69,999 0 < 1
## 7275 10,000-14,999 10,000-99,999 < 1
## 7276 15,000-19,999 0 < 1
## 7277 0-999 100-999 1-2
## 7278 100,000-124,999 1000-9,999 5-10
## 7279 30,000-39,999 1000-9,999 3-5
## 7280 0-999 0 < 1
## 7281 15,000-19,999 > 100,000 3-5
## 7282 1,000-1,999 10,000-99,999 1-2
## 7283 150,000-199,999 1000-9,999 3-5
## 7284 5,000-7,499 1-99 < 1
## 7285 80,000-89,999 1-99 5-10
## 7286 15,000-19,999 0 3-5
## 7287 60,000-69,999 100-999 10-20
## 7288 15,000-19,999 0 1-2
## 7289 150,000-199,999 > 100,000 10-20
## 7290 25,000-29,999 0 1-2
## 7291 <NA> <NA> < 1
## 7292 0-999 1000-9,999 1-2
## 7293 0-999 1-99 1-2
## 7294 0-999 100-999 1-2
## 7295 <NA> <NA> 5-10
## 7296 70,000-79,999 1000-9,999 5-10
## 7297 15,000-19,999 100-999 < 1
## 7298 20,000-24,999 100-999 5-10
## 7299 5,000-7,499 1-99 10-20
## 7300 40,000-49,999 0 1-2
## 7301 <NA> <NA> < 1
## 7302 <NA> <NA> < 1
## 7303 15,000-19,999 1000-9,999 1-2
## 7304 <NA> <NA> 1-2
## 7305 50,000-59,999 100-999 1-2
## 7306 10,000-14,999 0 1-2
## 7307 <NA> <NA> < 1
## 7308 70,000-79,999 1-99 3-5
## 7309 70,000-79,999 100-999 3-5
## 7310 80,000-89,999 0 1-2
## 7311 30,000-39,999 > 100,000 1-2
## 7312 150,000-199,999 > 100,000 3-5
## 7313 10,000-14,999 0 < 1
## 7314 10,000-14,999 > 100,000 3-5
## 7315 100,000-124,999 0 5-10
## 7316 60,000-69,999 1-99 1-2
## 7317 <NA> <NA> < 1
## 7318 5,000-7,499 100-999 1-2
## 7319 150,000-199,999 1000-9,999 5-10
## 7320 <NA> <NA> 1-2
## 7321 20,000-24,999 0 None
## 7322 10,000-14,999 1000-9,999 < 1
## 7323 5,000-7,499 100-999 1-2
## 7324 0-999 1-99 < 1
## 7325 25,000-29,999 0 1-2
## 7326 50,000-59,999 0 None
## 7327 <NA> <NA> 1-2
## 7328 <NA> <NA> < 1
## 7329 150,000-199,999 0 20+
## 7330 <NA> <NA> 1-2
## 7331 <NA> <NA> 1-2
## 7332 100,000-124,999 > 100,000 10-20
## 7333 0-999 100-999 < 1
## 7334 125,000-149,999 0 20+
## 7335 100,000-124,999 10,000-99,999 1-2
## 7336 10,000-14,999 1-99 1-2
## 7337 4,000-4,999 0 < 1
## 7338 <NA> <NA> 1-2
## 7339 20,000-24,999 0 10-20
## 7340 90,000-99,999 1000-9,999 1-2
## 7341 <NA> <NA> < 1
## 7342 0-999 1000-9,999 < 1
## 7343 70,000-79,999 0 1-2
## 7344 1,000-1,999 1-99 1-2
## 7345 30,000-39,999 1-99 None
## 7346 80,000-89,999 0 1-2
## 7347 <NA> <NA> < 1
## 7348 150,000-199,999 10,000-99,999 10-20
## 7349 300,000-500,000 > 100,000 20+
## 7350 <NA> <NA> < 1
## 7351 7,500-9,999 0 < 1
## 7352 100,000-124,999 > 100,000 3-5
## 7353 90,000-99,999 10,000-99,999 3-5
## 7354 25,000-29,999 100-999 1-2
## 7355 150,000-199,999 > 100,000 10-20
## 7356 0-999 100-999 5-10
## 7357 150,000-199,999 100-999 3-5
## 7358 <NA> <NA> 1-2
## 7359 0-999 10,000-99,999 < 1
## 7360 <NA> <NA> 5-10
## 7361 15,000-19,999 0 1-2
## 7362 15,000-19,999 1-99 < 1
## 7363 40,000-49,999 100-999 None
## 7364 15,000-19,999 100-999 1-2
## 7365 40,000-49,999 1-99 1-2
## 7366 30,000-39,999 1000-9,999 5-10
## 7367 40,000-49,999 100-999 10-20
## 7368 <NA> <NA> < 1
## 7369 0-999 1-99 3-5
## 7370 125,000-149,999 100-999 1-2
## 7371 25,000-29,999 100-999 20+
## 7372 125,000-149,999 1000-9,999 5-10
## 7373 <NA> <NA> < 1
## 7374 40,000-49,999 100-999 3-5
## 7375 90,000-99,999 100-999 3-5
## 7376 15,000-19,999 0 None
## 7377 5,000-7,499 100-999 < 1
## 7378 <NA> <NA> None
## 7379 50,000-59,999 100-999 10-20
## 7380 20,000-24,999 0 < 1
## 7381 4,000-4,999 0 20+
## 7382 <NA> <NA> 1-2
## 7383 7,500-9,999 100-999 < 1
## 7384 150,000-199,999 100-999 3-5
## 7385 0-999 0 None
## 7386 7,500-9,999 0 1-2
## 7387 15,000-19,999 100-999 3-5
## 7388 1,000-1,999 0 None
## 7389 20,000-24,999 0 < 1
## 7390 25,000-29,999 0 20+
## 7391 0-999 0 None
## 7392 0-999 0 < 1
## 7393 30,000-39,999 0 5-10
## 7394 100,000-124,999 1000-9,999 5-10
## 7395 25,000-29,999 1-99 5-10
## 7396 0-999 0 None
## 7397 1,000-1,999 1-99 1-2
## 7398 <NA> <NA> 3-5
## 7399 0-999 0 < 1
## 7400 150,000-199,999 10,000-99,999 < 1
## 7401 <NA> <NA> < 1
## 7402 70,000-79,999 100-999 3-5
## 7403 150,000-199,999 100-999 5-10
## 7404 4,000-4,999 1-99 < 1
## 7405 125,000-149,999 0 5-10
## 7406 100,000-124,999 10,000-99,999 3-5
## 7407 15,000-19,999 1-99 5-10
## 7408 3,000-3,999 1-99 < 1
## 7409 <NA> <NA> 1-2
## 7410 50,000-59,999 > 100,000 5-10
## 7411 30,000-39,999 10,000-99,999 3-5
## 7412 <NA> <NA> 1-2
## 7413 <NA> <NA> < 1
## 7414 <NA> <NA> < 1
## 7415 7,500-9,999 1000-9,999 1-2
## 7416 <NA> <NA> < 1
## 7417 15,000-19,999 1-99 3-5
## 7418 <NA> <NA> < 1
## 7419 3,000-3,999 1-99 1-2
## 7420 10,000-14,999 1-99 < 1
## 7421 0-999 100-999 < 1
## 7422 40,000-49,999 1000-9,999 10-20
## 7423 <NA> <NA> 1-2
## 7424 <NA> <NA> < 1
## 7425 <NA> <NA> < 1
## 7426 150,000-199,999 0 5-10
## 7427 2,000-2,999 0 < 1
## 7428 80,000-89,999 100-999 3-5
## 7429 <NA> <NA> < 1
## 7430 <NA> <NA> < 1
## 7431 15,000-19,999 0 1-2
## 7432 <NA> <NA> < 1
## 7433 0-999 10,000-99,999 < 1
## 7434 <NA> <NA> 1-2
## 7435 1,000-1,999 1-99 < 1
## 7436 20,000-24,999 1000-9,999 1-2
## 7437 <NA> <NA> 1-2
## 7438 0-999 0 < 1
## 7439 <NA> <NA> 3-5
## 7440 70,000-79,999 0 10-20
## 7441 <NA> <NA> 3-5
## 7442 80,000-89,999 > 100,000 10-20
## 7443 10,000-14,999 1-99 1-2
## 7444 100,000-124,999 1000-9,999 3-5
## 7445 50,000-59,999 100-999 20+
## 7446 <NA> <NA> < 1
## 7447 0-999 1-99 1-2
## 7448 10,000-14,999 1-99 3-5
## 7449 5,000-7,499 100-999 10-20
## 7450 50,000-59,999 > 100,000 10-20
## 7451 5,000-7,499 100-999 1-2
## 7452 1,000-1,999 1-99 3-5
## 7453 40,000-49,999 0 < 1
## 7454 15,000-19,999 10,000-99,999 1-2
## 7455 <NA> <NA> < 1
## 7456 0-999 1-99 3-5
## 7457 30,000-39,999 100-999 < 1
## 7458 0-999 0 1-2
## 7459 0-999 1000-9,999 3-5
## 7460 0-999 0 3-5
## 7461 10,000-14,999 0 < 1
## 7462 30,000-39,999 10,000-99,999 20+
## 7463 150,000-199,999 > 100,000 10-20
## 7464 250,000-299,999 10,000-99,999 5-10
## 7465 <NA> <NA> 5-10
## 7466 0-999 0 5-10
## 7467 70,000-79,999 1-99 3-5
## 7468 2,000-2,999 100-999 5-10
## 7469 70,000-79,999 1000-9,999 1-2
## 7470 0-999 0 3-5
## 7471 30,000-39,999 0 < 1
## 7472 5,000-7,499 1-99 1-2
## 7473 1,000-1,999 1000-9,999 1-2
## 7474 30,000-39,999 1000-9,999 3-5
## 7475 10,000-14,999 0 < 1
## 7476 2,000-2,999 1000-9,999 10-20
## 7477 <NA> <NA> < 1
## 7478 0-999 0 1-2
## 7479 15,000-19,999 0 1-2
## 7480 <NA> <NA> < 1
## 7481 <NA> <NA> None
## 7482 40,000-49,999 1000-9,999 < 1
## 7483 70,000-79,999 0 < 1
## 7484 200,000-249,999 10,000-99,999 20+
## 7485 15,000-19,999 100-999 3-5
## 7486 7,500-9,999 1-99 < 1
## 7487 <NA> <NA> 3-5
## 7488 <NA> <NA> 3-5
## 7489 5,000-7,499 100-999 3-5
## 7490 25,000-29,999 0 5-10
## 7491 15,000-19,999 0 None
## 7492 25,000-29,999 0 < 1
## 7493 2,000-2,999 0 5-10
## 7494 7,500-9,999 10,000-99,999 3-5
## 7495 <NA> <NA> < 1
## 7496 2,000-2,999 100-999 3-5
## 7497 70,000-79,999 1000-9,999 None
## 7498 70,000-79,999 > 100,000 3-5
## 7499 70,000-79,999 100-999 < 1
## 7500 <NA> <NA> < 1
## 7501 60,000-69,999 > 100,000 3-5
## 7502 2,000-2,999 0 None
## 7503 <NA> <NA> < 1
## 7504 0-999 0 1-2
## 7505 90,000-99,999 0 20+
## 7506 0-999 0 None
## 7507 <NA> <NA> 1-2
## 7508 1,000-1,999 1000-9,999 1-2
## 7509 <NA> <NA> < 1
## 7510 10,000-14,999 0 3-5
## 7511 100,000-124,999 1000-9,999 10-20
## 7512 0-999 0 < 1
## 7513 0-999 0 3-5
## 7514 90,000-99,999 0 3-5
## 7515 70,000-79,999 100-999 None
## 7516 5,000-7,499 0 < 1
## 7517 90,000-99,999 0 < 1
## 7518 <NA> <NA> 1-2
## 7519 0-999 100-999 3-5
## 7520 90,000-99,999 0 5-10
## 7521 <NA> <NA> < 1
## 7522 <NA> <NA> None
## 7523 70,000-79,999 1000-9,999 5-10
## 7524 3,000-3,999 0 5-10
## 7525 80,000-89,999 100-999 3-5
## 7526 70,000-79,999 1-99 5-10
## 7527 125,000-149,999 0 3-5
## 7528 125,000-149,999 10,000-99,999 5-10
## 7529 125,000-149,999 1-99 3-5
## 7530 15,000-19,999 0 None
## 7531 1,000-1,999 1-99 < 1
## 7532 20,000-24,999 0 1-2
## 7533 7,500-9,999 0 3-5
## 7534 2,000-2,999 100-999 < 1
## 7535 30,000-39,999 1000-9,999 3-5
## 7536 4,000-4,999 1-99 3-5
## 7537 0-999 0 1-2
## 7538 0-999 0 5-10
## 7539 <NA> <NA> < 1
## 7540 <NA> <NA> 3-5
## 7541 <NA> <NA> 20+
## 7542 <NA> <NA> 5-10
## 7543 <NA> <NA> 1-2
## 7544 50,000-59,999 1000-9,999 1-2
## 7545 0-999 0 3-5
## 7546 125,000-149,999 0 5-10
## 7547 200,000-249,999 10,000-99,999 1-2
## 7548 100,000-124,999 0 5-10
## 7549 125,000-149,999 > 100,000 < 1
## 7550 <NA> <NA> < 1
## 7551 40,000-49,999 100-999 1-2
## 7552 25,000-29,999 0 5-10
## 7553 200,000-249,999 > 100,000 20+
## 7554 7,500-9,999 100-999 1-2
## 7555 15,000-19,999 > 100,000 3-5
## 7556 <NA> <NA> 3-5
## 7557 5,000-7,499 1-99 None
## 7558 200,000-249,999 > 100,000 20+
## 7559 <NA> <NA> 1-2
## 7560 0-999 0 < 1
## 7561 40,000-49,999 0 10-20
## 7562 100,000-124,999 0 < 1
## 7563 150,000-199,999 10,000-99,999 20+
## 7564 10,000-14,999 0 < 1
## 7565 <NA> <NA> < 1
## 7566 30,000-39,999 0 1-2
## 7567 1,000-1,999 100-999 1-2
## 7568 25,000-29,999 1000-9,999 1-2
## 7569 80,000-89,999 0 5-10
## 7570 <NA> <NA> < 1
## 7571 150,000-199,999 10,000-99,999 3-5
## 7572 <NA> <NA> 1-2
## 7573 5,000-7,499 0 3-5
## 7574 125,000-149,999 1000-9,999 20+
## 7575 <NA> <NA> 1-2
## 7576 30,000-39,999 0 10-20
## 7577 25,000-29,999 10,000-99,999 5-10
## 7578 <NA> <NA> < 1
## 7579 70,000-79,999 0 20+
## 7580 <NA> <NA> 1-2
## 7581 60,000-69,999 1000-9,999 10-20
## 7582 5,000-7,499 0 None
## 7583 <NA> <NA> 5-10
## 7584 0-999 1-99 < 1
## 7585 <NA> <NA> 3-5
## 7586 25,000-29,999 100-999 < 1
## 7587 0-999 0 None
## 7588 <NA> <NA> < 1
## 7589 100,000-124,999 0 3-5
## 7590 <NA> <NA> < 1
## 7591 <NA> <NA> < 1
## 7592 <NA> <NA> < 1
## 7593 <NA> <NA> 3-5
## 7594 0-999 1-99 1-2
## 7595 25,000-29,999 1000-9,999 3-5
## 7596 90,000-99,999 0 None
## 7597 125,000-149,999 10,000-99,999 20+
## 7598 0-999 1000-9,999 3-5
## 7599 100,000-124,999 10,000-99,999 3-5
## 7600 <NA> <NA> 3-5
## 7601 <NA> <NA> < 1
## 7602 <NA> <NA> < 1
## 7603 0-999 0 < 1
## 7604 0-999 0 3-5
## 7605 70,000-79,999 10,000-99,999 20+
## 7606 4,000-4,999 1000-9,999 3-5
## 7607 200,000-249,999 > 100,000 10-20
## 7608 <NA> <NA> < 1
## 7609 3,000-3,999 100-999 5-10
## 7610 70,000-79,999 1000-9,999 3-5
## 7611 100,000-124,999 1000-9,999 1-2
## 7612 100,000-124,999 10,000-99,999 1-2
## 7613 30,000-39,999 0 1-2
## 7614 <NA> <NA> < 1
## 7615 <NA> <NA> 3-5
## 7616 40,000-49,999 10,000-99,999 3-5
## 7617 70,000-79,999 1-99 1-2
## 7618 <NA> <NA> 1-2
## 7619 125,000-149,999 > 100,000 5-10
## 7620 70,000-79,999 > 100,000 3-5
## 7621 <NA> <NA> < 1
## 7622 20,000-24,999 0 5-10
## 7623 125,000-149,999 1000-9,999 20+
## 7624 5,000-7,499 0 3-5
## 7625 100,000-124,999 0 3-5
## 7626 40,000-49,999 1000-9,999 3-5
## 7627 1,000-1,999 1-99 < 1
## 7628 <NA> <NA> < 1
## 7629 25,000-29,999 1000-9,999 1-2
## 7630 15,000-19,999 10,000-99,999 5-10
## 7631 150,000-199,999 1000-9,999 < 1
## 7632 70,000-79,999 1000-9,999 3-5
## 7633 <NA> <NA> < 1
## 7634 10,000-14,999 1-99 3-5
## 7635 4,000-4,999 10,000-99,999 < 1
## 7636 <NA> <NA> < 1
## 7637 <NA> <NA> 1-2
## 7638 <NA> <NA> 3-5
## 7639 7,500-9,999 1000-9,999 1-2
## 7640 0-999 1000-9,999 10-20
## 7641 4,000-4,999 10,000-99,999 1-2
## 7642 10,000-14,999 100-999 1-2
## 7643 10,000-14,999 1000-9,999 1-2
## 7644 0-999 1-99 < 1
## 7645 80,000-89,999 1000-9,999 3-5
## 7646 1,000-1,999 100-999 < 1
## 7647 20,000-24,999 100-999 1-2
## 7648 <NA> <NA> None
## 7649 5,000-7,499 0 < 1
## 7650 50,000-59,999 > 100,000 5-10
## 7651 7,500-9,999 0 1-2
## 7652 150,000-199,999 1000-9,999 10-20
## 7653 40,000-49,999 100-999 5-10
## 7654 <NA> <NA> None
## 7655 125,000-149,999 1-99 10-20
## 7656 10,000-14,999 1-99 1-2
## 7657 15,000-19,999 0 < 1
## 7658 0-999 0 None
## 7659 4,000-4,999 1000-9,999 3-5
## 7660 <NA> <NA> 1-2
## 7661 40,000-49,999 1-99 1-2
## 7662 30,000-39,999 1000-9,999 3-5
## 7663 80,000-89,999 0 1-2
## 7664 <NA> <NA> < 1
## 7665 125,000-149,999 0 10-20
## 7666 3,000-3,999 1-99 1-2
## 7667 30,000-39,999 1000-9,999 1-2
## 7668 80,000-89,999 1000-9,999 3-5
## 7669 2,000-2,999 0 < 1
## 7670 20,000-24,999 0 < 1
## 7671 90,000-99,999 0 < 1
## 7672 5,000-7,499 0 < 1
## 7673 10,000-14,999 1000-9,999 1-2
## 7674 60,000-69,999 1000-9,999 None
## 7675 > 500,000 1-99 20+
## 7676 0-999 0 < 1
## 7677 10,000-14,999 1-99 3-5
## 7678 7,500-9,999 0 1-2
## 7679 <NA> <NA> 1-2
## 7680 0-999 0 None
## 7681 25,000-29,999 1000-9,999 3-5
## 7682 20,000-24,999 0 1-2
## 7683 0-999 0 3-5
## 7684 20,000-24,999 0 < 1
## 7685 2,000-2,999 10,000-99,999 5-10
## 7686 0-999 1000-9,999 < 1
## 7687 20,000-24,999 0 3-5
## 7688 <NA> <NA> < 1
## 7689 15,000-19,999 0 1-2
## 7690 <NA> <NA> 10-20
## 7691 40,000-49,999 1000-9,999 3-5
## 7692 <NA> <NA> None
## 7693 <NA> <NA> 1-2
## 7694 30,000-39,999 0 5-10
## 7695 <NA> <NA> < 1
## 7696 100,000-124,999 0 5-10
## 7697 4,000-4,999 0 < 1
## 7698 60,000-69,999 1-99 1-2
## 7699 0-999 1-99 < 1
## 7700 100,000-124,999 100-999 20+
## 7701 50,000-59,999 1000-9,999 10-20
## 7702 40,000-49,999 1000-9,999 5-10
## 7703 50,000-59,999 1000-9,999 1-2
## 7704 1,000-1,999 100-999 3-5
## 7705 <NA> <NA> < 1
## 7706 2,000-2,999 100-999 < 1
## 7707 3,000-3,999 0 < 1
## 7708 0-999 0 None
## 7709 <NA> <NA> 3-5
## 7710 4,000-4,999 0 < 1
## 7711 5,000-7,499 0 < 1
## 7712 20,000-24,999 1000-9,999 3-5
## 7713 10,000-14,999 100-999 1-2
## 7714 30,000-39,999 0 < 1
## 7715 10,000-14,999 1000-9,999 1-2
## 7716 40,000-49,999 0 None
## 7717 0-999 1000-9,999 3-5
## 7718 60,000-69,999 100-999 5-10
## 7719 40,000-49,999 1000-9,999 5-10
## 7720 50,000-59,999 0 20+
## 7721 <NA> <NA> 3-5
## 7722 25,000-29,999 1-99 < 1
## 7723 40,000-49,999 1-99 3-5
## 7724 3,000-3,999 1000-9,999 3-5
## 7725 0-999 1-99 5-10
## 7726 <NA> <NA> 3-5
## 7727 <NA> <NA> 3-5
## 7728 5,000-7,499 1000-9,999 5-10
## 7729 100,000-124,999 > 100,000 10-20
## 7730 150,000-199,999 > 100,000 10-20
## 7731 125,000-149,999 10,000-99,999 3-5
## 7732 100,000-124,999 100-999 20+
## 7733 10,000-14,999 0 < 1
## 7734 15,000-19,999 10,000-99,999 1-2
## 7735 <NA> <NA> 3-5
## 7736 <NA> <NA> < 1
## 7737 125,000-149,999 1000-9,999 5-10
## 7738 125,000-149,999 > 100,000 5-10
## 7739 60,000-69,999 > 100,000 10-20
## 7740 5,000-7,499 0 1-2
## 7741 <NA> <NA> < 1
## 7742 15,000-19,999 0 < 1
## 7743 5,000-7,499 0 5-10
## 7744 <NA> <NA> 3-5
## 7745 5,000-7,499 0 1-2
## 7746 <NA> <NA> 1-2
## 7747 150,000-199,999 1000-9,999 20+
## 7748 15,000-19,999 100-999 3-5
## 7749 50,000-59,999 1000-9,999 3-5
## 7750 90,000-99,999 10,000-99,999 1-2
## 7751 30,000-39,999 0 5-10
## 7752 4,000-4,999 100-999 < 1
## 7753 150,000-199,999 > 100,000 None
## 7754 <NA> <NA> 1-2
## 7755 40,000-49,999 10,000-99,999 10-20
## 7756 1,000-1,999 100-999 3-5
## 7757 200,000-249,999 100-999 5-10
## 7758 <NA> <NA> 1-2
## 7759 60,000-69,999 1000-9,999 3-5
## 7760 40,000-49,999 0 3-5
## 7761 <NA> <NA> 1-2
## 7762 150,000-199,999 100-999 10-20
## 7763 50,000-59,999 1000-9,999 5-10
## 7764 4,000-4,999 0 < 1
## 7765 <NA> <NA> < 1
## 7766 125,000-149,999 > 100,000 < 1
## 7767 30,000-39,999 1000-9,999 1-2
## 7768 1,000-1,999 1000-9,999 3-5
## 7769 <NA> <NA> < 1
## 7770 50,000-59,999 0 10-20
## 7771 <NA> <NA> < 1
## 7772 125,000-149,999 1000-9,999 5-10
## 7773 1,000-1,999 100-999 5-10
## 7774 25,000-29,999 1000-9,999 5-10
## 7775 100,000-124,999 100-999 10-20
## 7776 125,000-149,999 1000-9,999 10-20
## 7777 <NA> <NA> 1-2
## 7778 <NA> <NA> 1-2
## 7779 2,000-2,999 1-99 1-2
## 7780 0-999 100-999 3-5
## 7781 30,000-39,999 0 3-5
## 7782 100,000-124,999 100-999 20+
## 7783 10,000-14,999 1-99 3-5
## 7784 0-999 1000-9,999 20+
## 7785 10,000-14,999 0 1-2
## 7786 30,000-39,999 1000-9,999 3-5
## 7787 20,000-24,999 0 3-5
## 7788 20,000-24,999 0 None
## 7789 <NA> <NA> < 1
## 7790 30,000-39,999 100-999 3-5
## 7791 70,000-79,999 100-999 10-20
## 7792 <NA> <NA> 1-2
## 7793 90,000-99,999 100-999 < 1
## 7794 50,000-59,999 0 < 1
## 7795 <NA> <NA> 3-5
## 7796 30,000-39,999 1-99 1-2
## 7797 0-999 1000-9,999 3-5
## 7798 0-999 0 < 1
## 7799 50,000-59,999 10,000-99,999 3-5
## 7800 <NA> <NA> 1-2
## 7801 60,000-69,999 > 100,000 3-5
## 7802 <NA> <NA> 1-2
## 7803 60,000-69,999 10,000-99,999 < 1
## 7804 <NA> <NA> < 1
## 7805 50,000-59,999 100-999 3-5
## 7806 <NA> <NA> 1-2
## 7807 <NA> <NA> 1-2
## 7808 20,000-24,999 > 100,000 3-5
## 7809 60,000-69,999 1000-9,999 5-10
## 7810 90,000-99,999 100-999 3-5
## 7811 <NA> <NA> 1-2
## 7812 150,000-199,999 > 100,000 10-20
## 7813 80,000-89,999 0 5-10
## 7814 5,000-7,499 1-99 3-5
## 7815 90,000-99,999 0 5-10
## 7816 30,000-39,999 1000-9,999 1-2
## 7817 90,000-99,999 1000-9,999 1-2
## 7818 <NA> <NA> < 1
## 7819 5,000-7,499 100-999 1-2
## 7820 0-999 0 < 1
## 7821 0-999 0 < 1
## 7822 10,000-14,999 0 5-10
## 7823 0-999 100-999 3-5
## 7824 125,000-149,999 1000-9,999 3-5
## 7825 20,000-24,999 1-99 3-5
## 7826 40,000-49,999 0 1-2
## 7827 20,000-24,999 1-99 1-2
## 7828 25,000-29,999 100-999 3-5
## 7829 50,000-59,999 0 1-2
## 7830 7,500-9,999 0 3-5
## 7831 90,000-99,999 0 3-5
## 7832 10,000-14,999 100-999 < 1
## 7833 <NA> <NA> 1-2
## 7834 10,000-14,999 1000-9,999 5-10
## 7835 20,000-24,999 100-999 20+
## 7836 <NA> <NA> 1-2
## 7837 25,000-29,999 100-999 3-5
## 7838 50,000-59,999 0 3-5
## 7839 100,000-124,999 10,000-99,999 3-5
## 7840 15,000-19,999 1-99 1-2
## 7841 <NA> <NA> < 1
## 7842 50,000-59,999 100-999 5-10
## 7843 0-999 0 None
## 7844 <NA> <NA> None
## 7845 10,000-14,999 100-999 < 1
## 7846 50,000-59,999 10,000-99,999 3-5
## 7847 30,000-39,999 1000-9,999 3-5
## 7848 30,000-39,999 0 1-2
## 7849 <NA> <NA> < 1
## 7850 60,000-69,999 1000-9,999 5-10
## 7851 90,000-99,999 100-999 10-20
## 7852 2,000-2,999 1-99 < 1
## 7853 70,000-79,999 > 100,000 10-20
## 7854 60,000-69,999 1000-9,999 5-10
## 7855 30,000-39,999 0 1-2
## 7856 100,000-124,999 1000-9,999 5-10
## 7857 125,000-149,999 1000-9,999 20+
## 7858 40,000-49,999 100-999 3-5
## 7859 125,000-149,999 10,000-99,999 20+
## 7860 <NA> <NA> < 1
## 7861 0-999 1-99 < 1
## 7862 100,000-124,999 1000-9,999 3-5
## 7863 <NA> <NA> < 1
## 7864 15,000-19,999 1-99 1-2
## 7865 <NA> <NA> < 1
## 7866 80,000-89,999 100-999 < 1
## 7867 <NA> <NA> < 1
## 7868 70,000-79,999 0 None
## 7869 0-999 1-99 3-5
## 7870 40,000-49,999 10,000-99,999 3-5
## 7871 20,000-24,999 100-999 < 1
## 7872 <NA> <NA> 1-2
## 7873 60,000-69,999 0 5-10
## 7874 30,000-39,999 1-99 10-20
## 7875 125,000-149,999 1-99 20+
## 7876 <NA> <NA> 3-5
## 7877 125,000-149,999 0 20+
## 7878 <NA> <NA> 1-2
## 7879 <NA> <NA> 3-5
## 7880 2,000-2,999 100-999 3-5
## 7881 25,000-29,999 100-999 1-2
## 7882 70,000-79,999 10,000-99,999 3-5
## 7883 10,000-14,999 0 3-5
## 7884 <NA> <NA> 3-5
## 7885 60,000-69,999 0 < 1
## 7886 70,000-79,999 1000-9,999 < 1
## 7887 100,000-124,999 0 5-10
## 7888 <NA> <NA> < 1
## 7889 2,000-2,999 10,000-99,999 5-10
## 7890 <NA> <NA> 5-10
## 7891 10,000-14,999 > 100,000 1-2
## 7892 <NA> <NA> None
## 7893 <NA> <NA> 1-2
## 7894 5,000-7,499 1000-9,999 1-2
## 7895 125,000-149,999 0 20+
## 7896 <NA> <NA> 3-5
## 7897 <NA> <NA> < 1
## 7898 1,000-1,999 0 < 1
## 7899 <NA> <NA> 1-2
## 7900 10,000-14,999 0 1-2
## 7901 80,000-89,999 0 3-5
## 7902 15,000-19,999 100-999 1-2
## 7903 0-999 > 100,000 1-2
## 7904 100,000-124,999 0 3-5
## 7905 125,000-149,999 1000-9,999 1-2
## 7906 60,000-69,999 10,000-99,999 5-10
## 7907 <NA> <NA> 5-10
## 7908 20,000-24,999 1-99 1-2
## 7909 30,000-39,999 1000-9,999 10-20
## 7910 40,000-49,999 0 1-2
## 7911 60,000-69,999 > 100,000 3-5
## 7912 30,000-39,999 100-999 3-5
## 7913 <NA> <NA> 1-2
## 7914 <NA> <NA> 1-2
## 7915 100,000-124,999 10,000-99,999 3-5
## 7916 40,000-49,999 0 1-2
## 7917 <NA> <NA> 3-5
## 7918 40,000-49,999 1000-9,999 5-10
## 7919 25,000-29,999 1-99 1-2
## 7920 <NA> <NA> < 1
## 7921 70,000-79,999 100-999 5-10
## 7922 0-999 1000-9,999 20+
## 7923 125,000-149,999 10,000-99,999 1-2
## 7924 25,000-29,999 100-999 3-5
## 7925 50,000-59,999 100-999 1-2
## 7926 100,000-124,999 0 20+
## 7927 90,000-99,999 10,000-99,999 10-20
## 7928 10,000-14,999 1000-9,999 3-5
## 7929 30,000-39,999 1-99 5-10
## 7930 0-999 1000-9,999 5-10
## 7931 7,500-9,999 1000-9,999 < 1
## 7932 5,000-7,499 100-999 5-10
## 7933 1,000-1,999 100-999 3-5
## 7934 <NA> <NA> 3-5
## 7935 <NA> <NA> < 1
## 7936 40,000-49,999 0 3-5
## 7937 60,000-69,999 10,000-99,999 10-20
## 7938 1,000-1,999 0 1-2
## 7939 150,000-199,999 0 20+
## 7940 30,000-39,999 100-999 5-10
## 7941 5,000-7,499 1000-9,999 < 1
## 7942 70,000-79,999 1000-9,999 3-5
## 7943 <NA> <NA> 1-2
## 7944 50,000-59,999 1000-9,999 5-10
## 7945 <NA> <NA> 1-2
## 7946 <NA> <NA> < 1
## 7947 80,000-89,999 0 3-5
## 7948 3,000-3,999 1000-9,999 10-20
## 7949 30,000-39,999 1000-9,999 1-2
## 7950 150,000-199,999 0 20+
## 7951 150,000-199,999 1000-9,999 5-10
## 7952 80,000-89,999 100-999 5-10
## 7953 2,000-2,999 0 < 1
## 7954 50,000-59,999 1000-9,999 3-5
## 7955 80,000-89,999 0 3-5
## 7956 <NA> <NA> < 1
## 7957 80,000-89,999 1000-9,999 3-5
## 7958 <NA> <NA> < 1
## 7959 3,000-3,999 1000-9,999 3-5
## 7960 50,000-59,999 0 5-10
## 7961 1,000-1,999 1-99 1-2
## 7962 125,000-149,999 1000-9,999 5-10
## 7963 <NA> <NA> 1-2
## 7964 25,000-29,999 > 100,000 1-2
## 7965 10,000-14,999 1-99 20+
## 7966 60,000-69,999 0 1-2
## 7967 125,000-149,999 100-999 < 1
## 7968 100,000-124,999 > 100,000 5-10
## 7969 70,000-79,999 > 100,000 1-2
## 7970 0-999 0 3-5
## 7971 200,000-249,999 0 < 1
## 7972 7,500-9,999 1-99 5-10
## 7973 200,000-249,999 0 5-10
## 7974 90,000-99,999 100-999 5-10
## 7975 60,000-69,999 10,000-99,999 3-5
## 7976 20,000-24,999 100-999 3-5
## 7977 70,000-79,999 1000-9,999 5-10
## 7978 70,000-79,999 1000-9,999 5-10
## 7979 5,000-7,499 100-999 3-5
## 7980 0-999 100-999 3-5
## 7981 3,000-3,999 1000-9,999 < 1
## 7982 <NA> <NA> 5-10
## 7983 125,000-149,999 10,000-99,999 3-5
## 7984 60,000-69,999 100-999 3-5
## 7985 <NA> <NA> 1-2
## 7986 1,000-1,999 0 1-2
## 7987 150,000-199,999 0 5-10
## 7988 <NA> <NA> None
## 7989 10,000-14,999 100-999 < 1
## 7990 20,000-24,999 1000-9,999 3-5
## 7991 90,000-99,999 100-999 3-5
## 7992 <NA> <NA> 3-5
## 7993 <NA> <NA> < 1
## 7994 <NA> <NA> 1-2
## 7995 100,000-124,999 100-999 3-5
## 7996 90,000-99,999 1000-9,999 3-5
## 7997 30,000-39,999 10,000-99,999 5-10
## 7998 50,000-59,999 0 3-5
## 7999 40,000-49,999 100-999 < 1
## 8000 100,000-124,999 1000-9,999 3-5
## 8001 15,000-19,999 0 < 1
## 8002 0-999 0 20+
## 8003 200,000-249,999 10,000-99,999 5-10
## 8004 5,000-7,499 0 3-5
## 8005 15,000-19,999 100-999 10-20
## 8006 150,000-199,999 > 100,000 5-10
## 8007 <NA> <NA> None
## 8008 50,000-59,999 0 < 1
## 8009 7,500-9,999 0 1-2
## 8010 <NA> <NA> 1-2
## 8011 1,000-1,999 1-99 < 1
## 8012 <NA> <NA> 5-10
## 8013 7,500-9,999 100-999 5-10
## 8014 <NA> <NA> 1-2
## 8015 30,000-39,999 100-999 3-5
## 8016 1,000-1,999 1-99 1-2
## 8017 <NA> <NA> 1-2
## 8018 4,000-4,999 0 1-2
## 8019 150,000-199,999 > 100,000 20+
## 8020 5,000-7,499 100-999 < 1
## 8021 <NA> <NA> 3-5
## 8022 100,000-124,999 10,000-99,999 3-5
## 8023 4,000-4,999 0 < 1
## 8024 125,000-149,999 > 100,000 20+
## 8025 60,000-69,999 0 3-5
## 8026 1,000-1,999 0 5-10
## 8027 40,000-49,999 0 3-5
## 8028 20,000-24,999 0 3-5
## 8029 7,500-9,999 1-99 3-5
## 8030 25,000-29,999 1000-9,999 1-2
## 8031 7,500-9,999 0 < 1
## 8032 1,000-1,999 0 < 1
## 8033 50,000-59,999 0 None
## 8034 20,000-24,999 10,000-99,999 10-20
## 8035 30,000-39,999 1-99 3-5
## 8036 30,000-39,999 100-999 10-20
## 8037 30,000-39,999 0 3-5
## 8038 100,000-124,999 1-99 1-2
## 8039 10,000-14,999 100-999 1-2
## 8040 <NA> <NA> 3-5
## 8041 3,000-3,999 0 3-5
## 8042 40,000-49,999 10,000-99,999 < 1
## 8043 <NA> <NA> < 1
## 8044 10,000-14,999 0 20+
## 8045 <NA> <NA> < 1
## 8046 <NA> <NA> None
## 8047 0-999 0 3-5
## 8048 100,000-124,999 1000-9,999 3-5
## 8049 70,000-79,999 1000-9,999 1-2
## 8050 150,000-199,999 0 10-20
## 8051 7,500-9,999 1000-9,999 1-2
## 8052 40,000-49,999 10,000-99,999 20+
## 8053 200,000-249,999 > 100,000 5-10
## 8054 90,000-99,999 1-99 10-20
## 8055 0-999 1-99 3-5
## 8056 0-999 0 1-2
## 8057 5,000-7,499 0 < 1
## 8058 50,000-59,999 0 None
## 8059 80,000-89,999 10,000-99,999 1-2
## 8060 30,000-39,999 10,000-99,999 5-10
## 8061 <NA> <NA> < 1
## 8062 300,000-500,000 100-999 1-2
## 8063 0-999 1-99 None
## 8064 50,000-59,999 1-99 3-5
## 8065 30,000-39,999 100-999 1-2
## 8066 150,000-199,999 1000-9,999 5-10
## 8067 100,000-124,999 1000-9,999 3-5
## 8068 10,000-14,999 1000-9,999 5-10
## 8069 0-999 0 < 1
## 8070 <NA> <NA> 3-5
## 8071 0-999 0 < 1
## 8072 70,000-79,999 1000-9,999 1-2
## 8073 90,000-99,999 0 1-2
## 8074 <NA> <NA> < 1
## 8075 90,000-99,999 0 < 1
## 8076 25,000-29,999 100-999 1-2
## 8077 <NA> <NA> < 1
## 8078 90,000-99,999 0 3-5
## 8079 25,000-29,999 100-999 3-5
## 8080 <NA> <NA> < 1
## 8081 0-999 100-999 None
## 8082 125,000-149,999 > 100,000 5-10
## 8083 <NA> <NA> 1-2
## 8084 <NA> <NA> 3-5
## 8085 40,000-49,999 0 < 1
## 8086 <NA> <NA> 10-20
## 8087 80,000-89,999 1000-9,999 10-20
## 8088 80,000-89,999 1000-9,999 3-5
## 8089 100,000-124,999 0 3-5
## 8090 20,000-24,999 1000-9,999 3-5
## 8091 2,000-2,999 1-99 3-5
## 8092 300,000-500,000 10,000-99,999 5-10
## 8093 <NA> <NA> < 1
## 8094 40,000-49,999 0 1-2
## 8095 0-999 1-99 None
## 8096 30,000-39,999 100-999 3-5
## 8097 5,000-7,499 100-999 1-2
## 8098 7,500-9,999 0 < 1
## 8099 10,000-14,999 0 < 1
## 8100 80,000-89,999 0 3-5
## 8101 7,500-9,999 0 1-2
## 8102 125,000-149,999 100-999 10-20
## 8103 <NA> <NA> 1-2
## 8104 50,000-59,999 100-999 3-5
## 8105 40,000-49,999 100-999 10-20
## 8106 25,000-29,999 0 3-5
## 8107 50,000-59,999 1000-9,999 10-20
## 8108 100,000-124,999 1000-9,999 5-10
## 8109 80,000-89,999 > 100,000 5-10
## 8110 2,000-2,999 0 1-2
## 8111 50,000-59,999 10,000-99,999 1-2
## 8112 60,000-69,999 > 100,000 3-5
## 8113 100,000-124,999 1000-9,999 3-5
## 8114 0-999 1-99 10-20
## 8115 100,000-124,999 > 100,000 3-5
## 8116 10,000-14,999 1000-9,999 3-5
## 8117 50,000-59,999 0 < 1
## 8118 70,000-79,999 100-999 None
## 8119 <NA> <NA> 1-2
## 8120 10,000-14,999 0 < 1
## 8121 100,000-124,999 1000-9,999 5-10
## 8122 0-999 0 < 1
## 8123 <NA> <NA> 3-5
## 8124 <NA> <NA> 3-5
## 8125 3,000-3,999 100-999 < 1
## 8126 100,000-124,999 1-99 10-20
## 8127 15,000-19,999 10,000-99,999 5-10
## 8128 100,000-124,999 > 100,000 1-2
## 8129 15,000-19,999 0 < 1
## 8130 <NA> <NA> None
## 8131 100,000-124,999 1000-9,999 3-5
## 8132 100,000-124,999 10,000-99,999 20+
## 8133 100,000-124,999 1000-9,999 3-5
## 8134 <NA> <NA> 3-5
## 8135 <NA> <NA> 1-2
## 8136 150,000-199,999 1000-9,999 5-10
## 8137 <NA> <NA> < 1
## 8138 1,000-1,999 1-99 < 1
## 8139 125,000-149,999 100-999 5-10
## 8140 25,000-29,999 1000-9,999 1-2
## 8141 150,000-199,999 1000-9,999 1-2
## 8142 100,000-124,999 > 100,000 5-10
## 8143 40,000-49,999 100-999 1-2
## 8144 20,000-24,999 1000-9,999 5-10
## 8145 70,000-79,999 10,000-99,999 5-10
## 8146 100,000-124,999 100-999 10-20
## 8147 0-999 1000-9,999 3-5
## 8148 <NA> <NA> < 1
## 8149 0-999 100-999 < 1
## 8150 25,000-29,999 0 5-10
## 8151 50,000-59,999 10,000-99,999 3-5
## 8152 <NA> <NA> < 1
## 8153 <NA> <NA> < 1
## 8154 70,000-79,999 1-99 3-5
## 8155 3,000-3,999 100-999 3-5
## 8156 <NA> <NA> None
## 8157 70,000-79,999 100-999 3-5
## 8158 2,000-2,999 0 1-2
## 8159 100,000-124,999 > 100,000 5-10
## 8160 7,500-9,999 1000-9,999 1-2
## 8161 150,000-199,999 10,000-99,999 5-10
## 8162 70,000-79,999 1000-9,999 3-5
## 8163 4,000-4,999 0 1-2
## 8164 2,000-2,999 1-99 3-5
## 8165 25,000-29,999 0 1-2
## 8166 <NA> <NA> < 1
## 8167 <NA> <NA> 3-5
## 8168 20,000-24,999 100-999 5-10
## 8169 125,000-149,999 1000-9,999 1-2
## 8170 15,000-19,999 1000-9,999 3-5
## 8171 <NA> <NA> < 1
## 8172 0-999 10,000-99,999 3-5
## 8173 125,000-149,999 1000-9,999 1-2
## 8174 30,000-39,999 > 100,000 20+
## 8175 <NA> <NA> 1-2
## 8176 90,000-99,999 1-99 3-5
## 8177 150,000-199,999 10,000-99,999 10-20
## 8178 90,000-99,999 0 3-5
## 8179 3,000-3,999 100-999 3-5
## 8180 1,000-1,999 1-99 3-5
## 8181 30,000-39,999 0 < 1
## 8182 2,000-2,999 100-999 1-2
## 8183 <NA> <NA> < 1
## 8184 <NA> <NA> < 1
## 8185 0-999 1-99 1-2
## 8186 50,000-59,999 100-999 3-5
## 8187 60,000-69,999 0 3-5
## 8188 60,000-69,999 0 None
## 8189 125,000-149,999 0 10-20
## 8190 <NA> <NA> 1-2
## 8191 <NA> <NA> 3-5
## 8192 5,000-7,499 0 None
## 8193 70,000-79,999 0 < 1
## 8194 80,000-89,999 100-999 1-2
## 8195 100,000-124,999 1000-9,999 3-5
## 8196 100,000-124,999 100-999 10-20
## 8197 200,000-249,999 1000-9,999 5-10
## 8198 2,000-2,999 1000-9,999 None
## 8199 50,000-59,999 0 3-5
## 8200 <NA> <NA> None
## 8201 10,000-14,999 0 20+
## 8202 <NA> <NA> 3-5
## 8203 1,000-1,999 0 1-2
## 8204 10,000-14,999 1000-9,999 1-2
## 8205 80,000-89,999 > 100,000 1-2
## 8206 30,000-39,999 1000-9,999 < 1
## 8207 250,000-299,999 > 100,000 3-5
## 8208 0-999 0 3-5
## 8209 <NA> <NA> 1-2
## 8210 20,000-24,999 10,000-99,999 5-10
## 8211 0-999 1000-9,999 3-5
## 8212 125,000-149,999 1000-9,999 5-10
## 8213 70,000-79,999 0 3-5
## 8214 80,000-89,999 10,000-99,999 3-5
## 8215 100,000-124,999 100-999 20+
## 8216 <NA> <NA> 1-2
## 8217 90,000-99,999 > 100,000 10-20
## 8218 125,000-149,999 > 100,000 5-10
## 8219 300,000-500,000 0 20+
## 8220 30,000-39,999 1-99 20+
## 8221 <NA> <NA> None
## 8222 0-999 100-999 < 1
## 8223 50,000-59,999 > 100,000 3-5
## 8224 50,000-59,999 10,000-99,999 3-5
## 8225 <NA> <NA> 1-2
## 8226 150,000-199,999 > 100,000 10-20
## 8227 40,000-49,999 1000-9,999 1-2
## 8228 <NA> <NA> 1-2
## 8229 25,000-29,999 0 1-2
## 8230 70,000-79,999 1-99 5-10
## 8231 80,000-89,999 10,000-99,999 1-2
## 8232 7,500-9,999 0 1-2
## 8233 40,000-49,999 1000-9,999 3-5
## 8234 150,000-199,999 > 100,000 20+
## 8235 10,000-14,999 100-999 3-5
## 8236 100,000-124,999 10,000-99,999 3-5
## 8237 100,000-124,999 0 5-10
## 8238 <NA> <NA> None
## 8239 80,000-89,999 0 10-20
## 8240 3,000-3,999 100-999 1-2
## 8241 150,000-199,999 10,000-99,999 10-20
## 8242 20,000-24,999 100-999 5-10
## 8243 200,000-249,999 0 3-5
## 8244 0-999 100-999 1-2
## 8245 30,000-39,999 100-999 3-5
## 8246 40,000-49,999 0 < 1
## 8247 <NA> <NA> 1-2
## 8248 <NA> <NA> < 1
## 8249 100,000-124,999 > 100,000 10-20
## 8250 <NA> <NA> 1-2
## 8251 2,000-2,999 0 1-2
## 8252 3,000-3,999 1000-9,999 1-2
## 8253 200,000-249,999 0 20+
## 8254 20,000-24,999 100-999 3-5
## 8255 150,000-199,999 1000-9,999 10-20
## 8256 100,000-124,999 > 100,000 5-10
## 8257 <NA> <NA> 20+
## 8258 5,000-7,499 10,000-99,999 3-5
## 8259 15,000-19,999 1-99 5-10
## 8260 70,000-79,999 0 5-10
## 8261 <NA> <NA> < 1
## 8262 90,000-99,999 1000-9,999 1-2
## 8263 20,000-24,999 0 < 1
## 8264 125,000-149,999 100-999 10-20
## 8265 50,000-59,999 0 1-2
## 8266 <NA> <NA> 1-2
## 8267 100,000-124,999 > 100,000 3-5
## 8268 <NA> <NA> 1-2
## 8269 20,000-24,999 0 < 1
## 8270 <NA> <NA> 1-2
## 8271 50,000-59,999 0 3-5
## 8272 40,000-49,999 0 < 1
## 8273 10,000-14,999 0 1-2
## 8274 <NA> <NA> < 1
## 8275 > 500,000 > 100,000 10-20
## 8276 30,000-39,999 0 3-5
## 8277 100,000-124,999 > 100,000 5-10
## 8278 100,000-124,999 10,000-99,999 10-20
## 8279 70,000-79,999 100-999 3-5
## 8280 <NA> <NA> 1-2
## 8281 <NA> <NA> < 1
## 8282 60,000-69,999 0 1-2
## 8283 100,000-124,999 100-999 3-5
## 8284 100,000-124,999 0 1-2
## 8285 70,000-79,999 1-99 3-5
## 8286 150,000-199,999 1000-9,999 3-5
## 8287 <NA> <NA> < 1
## 8288 <NA> <NA> 3-5
## 8289 30,000-39,999 1-99 3-5
## 8290 80,000-89,999 1000-9,999 10-20
## 8291 25,000-29,999 1000-9,999 3-5
## 8292 <NA> <NA> 1-2
## 8293 60,000-69,999 > 100,000 1-2
## 8294 40,000-49,999 100-999 5-10
## 8295 150,000-199,999 1000-9,999 3-5
## 8296 1,000-1,999 0 < 1
## 8297 1,000-1,999 100-999 3-5
## 8298 100,000-124,999 0 1-2
## 8299 200,000-249,999 0 20+
## 8300 125,000-149,999 > 100,000 3-5
## 8301 <NA> <NA> < 1
## 8302 15,000-19,999 1-99 < 1
## 8303 0-999 1-99 < 1
## 8304 <NA> <NA> 1-2
## 8305 10,000-14,999 1-99 1-2
## 8306 <NA> <NA> < 1
## 8307 80,000-89,999 0 5-10
## 8308 3,000-3,999 1000-9,999 1-2
## 8309 <NA> <NA> 1-2
## 8310 0-999 0 < 1
## 8311 70,000-79,999 1-99 < 1
## 8312 10,000-14,999 1-99 3-5
## 8313 20,000-24,999 10,000-99,999 5-10
## 8314 60,000-69,999 1000-9,999 3-5
## 8315 4,000-4,999 100-999 < 1
## 8316 0-999 0 < 1
## 8317 100,000-124,999 1000-9,999 1-2
## 8318 10,000-14,999 100-999 1-2
## 8319 60,000-69,999 0 < 1
## 8320 30,000-39,999 1000-9,999 < 1
## 8321 <NA> <NA> < 1
## 8322 <NA> <NA> 1-2
## 8323 50,000-59,999 100-999 10-20
## 8324 <NA> <NA> 1-2
## 8325 80,000-89,999 1-99 < 1
## 8326 <NA> <NA> < 1
## 8327 100,000-124,999 100-999 5-10
## 8328 60,000-69,999 > 100,000 5-10
## 8329 0-999 0 3-5
## 8330 <NA> <NA> 1-2
## 8331 10,000-14,999 0 3-5
## 8332 1,000-1,999 100-999 < 1
## 8333 10,000-14,999 0 1-2
## 8334 90,000-99,999 > 100,000 < 1
## 8335 <NA> <NA> 3-5
## 8336 40,000-49,999 100-999 3-5
## 8337 20,000-24,999 100-999 3-5
## 8338 2,000-2,999 1000-9,999 1-2
## 8339 70,000-79,999 1-99 3-5
## 8340 0-999 1-99 1-2
## 8341 <NA> <NA> < 1
## 8342 40,000-49,999 1000-9,999 3-5
## 8343 30,000-39,999 1-99 1-2
## 8344 10,000-14,999 1000-9,999 1-2
## 8345 0-999 0 1-2
## 8346 0-999 1-99 < 1
## 8347 100,000-124,999 100-999 < 1
## 8348 0-999 0 < 1
## 8349 <NA> <NA> < 1
## 8350 <NA> <NA> < 1
## 8351 <NA> <NA> < 1
## 8352 0-999 1-99 3-5
## 8353 50,000-59,999 100-999 5-10
## 8354 0-999 100-999 None
## 8355 90,000-99,999 100-999 5-10
## 8356 <NA> <NA> 1-2
## 8357 125,000-149,999 0 1-2
## 8358 <NA> <NA> 3-5
## 8359 7,500-9,999 100-999 < 1
## 8360 100,000-124,999 100-999 3-5
## 8361 150,000-199,999 10,000-99,999 10-20
## 8362 10,000-14,999 100-999 1-2
## 8363 50,000-59,999 > 100,000 5-10
## 8364 70,000-79,999 0 < 1
## 8365 <NA> <NA> 1-2
## 8366 <NA> <NA> 5-10
## 8367 80,000-89,999 1000-9,999 5-10
## 8368 10,000-14,999 > 100,000 10-20
## 8369 200,000-249,999 1000-9,999 1-2
## 8370 1,000-1,999 1-99 1-2
## 8371 100,000-124,999 100-999 10-20
## 8372 7,500-9,999 100-999 3-5
## 8373 2,000-2,999 0 < 1
## 8374 <NA> <NA> None
## 8375 60,000-69,999 10,000-99,999 5-10
## 8376 5,000-7,499 1000-9,999 1-2
## 8377 100,000-124,999 0 < 1
## 8378 <NA> <NA> 3-5
## 8379 <NA> <NA> 3-5
## 8380 <NA> <NA> < 1
## 8381 1,000-1,999 1-99 1-2
## 8382 <NA> <NA> None
## 8383 <NA> <NA> 5-10
## 8384 60,000-69,999 0 3-5
## 8385 40,000-49,999 > 100,000 10-20
## 8386 250,000-299,999 > 100,000 3-5
## 8387 0-999 100-999 < 1
## 8388 125,000-149,999 0 20+
## 8389 7,500-9,999 100-999 1-2
## 8390 100,000-124,999 1000-9,999 5-10
## 8391 70,000-79,999 1-99 1-2
## 8392 <NA> <NA> < 1
## 8393 60,000-69,999 100-999 10-20
## 8394 30,000-39,999 1000-9,999 5-10
## 8395 <NA> <NA> < 1
## 8396 90,000-99,999 1000-9,999 1-2
## 8397 1,000-1,999 1-99 < 1
## 8398 50,000-59,999 0 1-2
## 8399 50,000-59,999 100-999 3-5
## 8400 10,000-14,999 1000-9,999 3-5
## 8401 80,000-89,999 > 100,000 None
## 8402 90,000-99,999 0 10-20
## 8403 70,000-79,999 0 3-5
## 8404 60,000-69,999 0 1-2
## 8405 30,000-39,999 0 5-10
## 8406 125,000-149,999 > 100,000 1-2
## 8407 7,500-9,999 0 1-2
## 8408 0-999 0 < 1
## 8409 15,000-19,999 100-999 < 1
## 8410 0-999 0 3-5
## 8411 50,000-59,999 10,000-99,999 1-2
## 8412 300,000-500,000 10,000-99,999 1-2
## 8413 25,000-29,999 0 20+
## 8414 25,000-29,999 0 1-2
## 8415 40,000-49,999 1-99 5-10
## 8416 1,000-1,999 0 < 1
## 8417 125,000-149,999 > 100,000 20+
## 8418 <NA> <NA> None
## 8419 <NA> <NA> 3-5
## 8420 <NA> <NA> 1-2
## 8421 90,000-99,999 1000-9,999 10-20
## 8422 0-999 10,000-99,999 10-20
## 8423 <NA> <NA> 5-10
## 8424 10,000-14,999 1-99 < 1
## 8425 <NA> <NA> 20+
## 8426 15,000-19,999 10,000-99,999 5-10
## 8427 <NA> <NA> < 1
## 8428 60,000-69,999 100-999 3-5
## 8429 <NA> <NA> 20+
## 8430 150,000-199,999 > 100,000 20+
## 8431 100,000-124,999 0 3-5
## 8432 50,000-59,999 0 3-5
## 8433 150,000-199,999 > 100,000 10-20
## 8434 80,000-89,999 100-999 5-10
## 8435 40,000-49,999 0 < 1
## 8436 125,000-149,999 1000-9,999 1-2
## 8437 20,000-24,999 0 3-5
## 8438 <NA> <NA> 3-5
## 8439 <NA> <NA> < 1
## 8440 125,000-149,999 1000-9,999 3-5
## 8441 60,000-69,999 10,000-99,999 < 1
## 8442 4,000-4,999 0 5-10
## 8443 150,000-199,999 1000-9,999 3-5
## 8444 150,000-199,999 > 100,000 5-10
## 8445 25,000-29,999 1000-9,999 3-5
## 8446 0-999 1-99 < 1
## 8447 50,000-59,999 > 100,000 3-5
## 8448 70,000-79,999 0 1-2
## 8449 25,000-29,999 1000-9,999 3-5
## 8450 <NA> <NA> < 1
## 8451 40,000-49,999 1000-9,999 1-2
## 8452 2,000-2,999 1-99 < 1
## 8453 80,000-89,999 1000-9,999 10-20
## 8454 50,000-59,999 1-99 1-2
## 8455 150,000-199,999 0 20+
## 8456 <NA> <NA> 1-2
## 8457 <NA> <NA> < 1
## 8458 125,000-149,999 0 10-20
## 8459 <NA> <NA> < 1
## 8460 90,000-99,999 0 < 1
## 8461 <NA> <NA> < 1
## 8462 50,000-59,999 10,000-99,999 5-10
## 8463 50,000-59,999 100-999 1-2
## 8464 100,000-124,999 1000-9,999 20+
## 8465 90,000-99,999 100-999 5-10
## 8466 70,000-79,999 > 100,000 3-5
## 8467 <NA> <NA> < 1
## 8468 90,000-99,999 0 None
## 8469 <NA> <NA> None
## 8470 150,000-199,999 10,000-99,999 20+
## 8471 150,000-199,999 10,000-99,999 3-5
## 8472 150,000-199,999 1000-9,999 3-5
## 8473 30,000-39,999 1-99 5-10
## 8474 <NA> <NA> 3-5
## 8475 0-999 10,000-99,999 20+
## 8476 15,000-19,999 0 5-10
## 8477 200,000-249,999 > 100,000 20+
## 8478 60,000-69,999 100-999 5-10
## 8479 0-999 1-99 < 1
## 8480 50,000-59,999 1-99 < 1
## 8481 100,000-124,999 > 100,000 3-5
## 8482 0-999 0 < 1
## 8483 > 500,000 0 None
## 8484 80,000-89,999 1-99 10-20
## 8485 0-999 0 20+
## 8486 100,000-124,999 0 None
## 8487 <NA> <NA> 1-2
## 8488 40,000-49,999 1-99 5-10
## 8489 40,000-49,999 1000-9,999 1-2
## 8490 <NA> <NA> None
## 8491 100,000-124,999 100-999 3-5
## 8492 <NA> <NA> < 1
## 8493 150,000-199,999 > 100,000 10-20
## 8494 30,000-39,999 100-999 1-2
## 8495 70,000-79,999 0 10-20
## 8496 <NA> <NA> < 1
## 8497 0-999 100-999 1-2
## 8498 0-999 100-999 < 1
## 8499 1,000-1,999 1000-9,999 < 1
## 8500 150,000-199,999 10,000-99,999 5-10
## 8501 150,000-199,999 0 10-20
## 8502 80,000-89,999 10,000-99,999 20+
## 8503 <NA> <NA> 3-5
## 8504 10,000-14,999 > 100,000 < 1
## 8505 <NA> <NA> 3-5
## 8506 70,000-79,999 0 3-5
## 8507 20,000-24,999 100-999 5-10
## 8508 <NA> <NA> 1-2
## 8509 7,500-9,999 100-999 5-10
## 8510 > 500,000 > 100,000 5-10
## 8511 > 500,000 100-999 20+
## 8512 <NA> <NA> 3-5
## 8513 125,000-149,999 > 100,000 20+
## 8514 0-999 1-99 1-2
## 8515 20,000-24,999 100-999 10-20
## 8516 150,000-199,999 100-999 None
## 8517 1,000-1,999 1000-9,999 1-2
## 8518 100,000-124,999 0 5-10
## 8519 <NA> <NA> 1-2
## 8520 150,000-199,999 > 100,000 3-5
## 8521 <NA> <NA> < 1
## 8522 40,000-49,999 0 3-5
## 8523 50,000-59,999 10,000-99,999 5-10
## 8524 <NA> <NA> < 1
## 8525 80,000-89,999 10,000-99,999 None
## 8526 <NA> <NA> 3-5
## 8527 50,000-59,999 0 < 1
## 8528 <NA> <NA> < 1
## 8529 <NA> <NA> < 1
## 8530 70,000-79,999 0 5-10
## 8531 20,000-24,999 10,000-99,999 < 1
## 8532 20,000-24,999 1-99 5-10
## 8533 10,000-14,999 1000-9,999 < 1
## 8534 2,000-2,999 1000-9,999 < 1
## 8535 125,000-149,999 10,000-99,999 10-20
## 8536 150,000-199,999 0 10-20
## 8537 300,000-500,000 > 100,000 20+
## 8538 <NA> <NA> < 1
## 8539 <NA> <NA> 1-2
## 8540 80,000-89,999 10,000-99,999 20+
## 8541 3,000-3,999 10,000-99,999 3-5
## 8542 150,000-199,999 10,000-99,999 10-20
## 8543 <NA> <NA> < 1
## 8544 <NA> <NA> None
## 8545 15,000-19,999 100-999 < 1
## 8546 50,000-59,999 0 5-10
## 8547 <NA> <NA> < 1
## 8548 50,000-59,999 0 3-5
## 8549 10,000-14,999 100-999 1-2
## 8550 <NA> <NA> < 1
## 8551 0-999 0 < 1
## 8552 0-999 0 3-5
## 8553 20,000-24,999 1000-9,999 3-5
## 8554 7,500-9,999 100-999 < 1
## 8555 100,000-124,999 0 5-10
## 8556 <NA> <NA> 5-10
## 8557 25,000-29,999 > 100,000 3-5
## 8558 <NA> <NA> < 1
## 8559 <NA> <NA> < 1
## 8560 30,000-39,999 0 1-2
## 8561 80,000-89,999 0 1-2
## 8562 20,000-24,999 0 3-5
## 8563 60,000-69,999 1000-9,999 1-2
## 8564 2,000-2,999 0 3-5
## 8565 <NA> <NA> 5-10
## 8566 1,000-1,999 0 1-2
## 8567 100,000-124,999 > 100,000 20+
## 8568 <NA> <NA> 10-20
## 8569 0-999 0 5-10
## 8570 0-999 1-99 < 1
## 8571 <NA> <NA> None
## 8572 <NA> <NA> 1-2
## 8573 5,000-7,499 1000-9,999 1-2
## 8574 0-999 100-999 < 1
## 8575 15,000-19,999 100-999 1-2
## 8576 60,000-69,999 1-99 3-5
## 8577 2,000-2,999 0 None
## 8578 3,000-3,999 1-99 3-5
## 8579 <NA> <NA> 1-2
## 8580 30,000-39,999 1000-9,999 3-5
## 8581 <NA> <NA> 1-2
## 8582 40,000-49,999 100-999 3-5
## 8583 150,000-199,999 100-999 10-20
## 8584 40,000-49,999 10,000-99,999 1-2
## 8585 0-999 1-99 < 1
## 8586 <NA> <NA> 1-2
## 8587 40,000-49,999 100-999 < 1
## 8588 150,000-199,999 1000-9,999 10-20
## 8589 60,000-69,999 1000-9,999 < 1
## 8590 125,000-149,999 0 5-10
## 8591 <NA> <NA> 1-2
## 8592 50,000-59,999 100-999 5-10
## 8593 0-999 0 3-5
## 8594 250,000-299,999 > 100,000 None
## 8595 <NA> <NA> < 1
## 8596 100,000-124,999 1-99 1-2
## 8597 100,000-124,999 0 1-2
## 8598 100,000-124,999 > 100,000 5-10
## 8599 30,000-39,999 100-999 3-5
## 8600 60,000-69,999 0 < 1
## 8601 <NA> <NA> 3-5
## 8602 0-999 1-99 1-2
## 8603 70,000-79,999 > 100,000 3-5
## 8604 0-999 0 < 1
## 8605 40,000-49,999 1000-9,999 5-10
## 8606 125,000-149,999 > 100,000 10-20
## 8607 50,000-59,999 > 100,000 10-20
## 8608 90,000-99,999 1000-9,999 < 1
## 8609 4,000-4,999 1-99 < 1
## 8610 100,000-124,999 0 < 1
## 8611 2,000-2,999 1-99 10-20
## 8612 25,000-29,999 0 1-2
## 8613 150,000-199,999 0 None
## 8614 100,000-124,999 1000-9,999 5-10
## 8615 30,000-39,999 100-999 3-5
## 8616 100,000-124,999 0 1-2
## 8617 50,000-59,999 100-999 < 1
## 8618 30,000-39,999 10,000-99,999 1-2
## 8619 40,000-49,999 1-99 < 1
## 8620 <NA> <NA> 3-5
## 8621 0-999 1-99 < 1
## 8622 100,000-124,999 100-999 5-10
## 8623 100,000-124,999 1-99 10-20
## 8624 90,000-99,999 1000-9,999 5-10
## 8625 80,000-89,999 100-999 1-2
## 8626 <NA> <NA> < 1
## 8627 25,000-29,999 0 20+
## 8628 2,000-2,999 100-999 5-10
## 8629 25,000-29,999 10,000-99,999 3-5
## 8630 <NA> <NA> < 1
## 8631 125,000-149,999 100-999 5-10
## 8632 100,000-124,999 0 5-10
## 8633 100,000-124,999 > 100,000 < 1
## 8634 7,500-9,999 100-999 1-2
## 8635 5,000-7,499 1000-9,999 3-5
## 8636 <NA> <NA> 3-5
## 8637 90,000-99,999 0 5-10
## 8638 125,000-149,999 1000-9,999 1-2
## 8639 <NA> <NA> 3-5
## 8640 100,000-124,999 10,000-99,999 5-10
## 8641 15,000-19,999 0 None
## 8642 <NA> <NA> < 1
## 8643 0-999 0 20+
## 8644 125,000-149,999 1000-9,999 10-20
## 8645 70,000-79,999 0 < 1
## 8646 200,000-249,999 1000-9,999 10-20
## 8647 50,000-59,999 1-99 3-5
## 8648 5,000-7,499 1000-9,999 3-5
## 8649 10,000-14,999 1000-9,999 1-2
## 8650 <NA> <NA> < 1
## 8651 10,000-14,999 1000-9,999 1-2
## 8652 <NA> <NA> < 1
## 8653 <NA> <NA> 1-2
## 8654 80,000-89,999 10,000-99,999 5-10
## 8655 <NA> <NA> 1-2
## 8656 0-999 100-999 10-20
## 8657 5,000-7,499 1-99 None
## 8658 150,000-199,999 > 100,000 10-20
## 8659 25,000-29,999 0 None
## 8660 50,000-59,999 10,000-99,999 3-5
## 8661 1,000-1,999 0 3-5
## 8662 <NA> <NA> 1-2
## 8663 <NA> <NA> 3-5
## 8664 40,000-49,999 100-999 3-5
## 8665 60,000-69,999 > 100,000 5-10
## 8666 <NA> <NA> 3-5
## 8667 5,000-7,499 100-999 3-5
## 8668 0-999 0 None
## 8669 <NA> <NA> 10-20
## 8670 0-999 0 1-2
## 8671 <NA> <NA> < 1
## 8672 5,000-7,499 0 < 1
## 8673 100,000-124,999 10,000-99,999 5-10
## 8674 40,000-49,999 0 1-2
## 8675 100,000-124,999 1000-9,999 5-10
## 8676 <NA> <NA> 1-2
## 8677 <NA> <NA> 1-2
## 8678 5,000-7,499 1-99 3-5
## 8679 4,000-4,999 0 1-2
## 8680 <NA> <NA> None
## 8681 4,000-4,999 100-999 1-2
## 8682 70,000-79,999 0 < 1
## 8683 150,000-199,999 100-999 20+
## 8684 <NA> <NA> 1-2
## 8685 125,000-149,999 0 None
## 8686 0-999 0 3-5
## 8687 90,000-99,999 0 3-5
## 8688 90,000-99,999 0 < 1
## 8689 15,000-19,999 1000-9,999 5-10
## 8690 0-999 0 < 1
## 8691 100,000-124,999 > 100,000 1-2
## 8692 125,000-149,999 100-999 20+
## 8693 0-999 0 None
## 8694 70,000-79,999 100-999 1-2
## 8695 <NA> <NA> < 1
## 8696 125,000-149,999 100-999 3-5
## 8697 4,000-4,999 100-999 1-2
## 8698 70,000-79,999 1-99 None
## 8699 90,000-99,999 > 100,000 20+
## 8700 <NA> <NA> 1-2
## 8701 1,000-1,999 100-999 5-10
## 8702 40,000-49,999 100-999 < 1
## 8703 100,000-124,999 0 1-2
## 8704 0-999 100-999 3-5
## 8705 40,000-49,999 0 20+
## 8706 4,000-4,999 1-99 3-5
## 8707 25,000-29,999 1-99 5-10
## 8708 0-999 0 < 1
## 8709 125,000-149,999 1000-9,999 5-10
## 8710 0-999 0 < 1
## 8711 <NA> <NA> < 1
## 8712 <NA> <NA> 20+
## 8713 125,000-149,999 1000-9,999 1-2
## 8714 7,500-9,999 1-99 < 1
## 8715 70,000-79,999 0 5-10
## 8716 <NA> <NA> < 1
## 8717 50,000-59,999 1000-9,999 20+
## 8718 0-999 0 < 1
## 8719 40,000-49,999 100-999 1-2
## 8720 100,000-124,999 1000-9,999 < 1
## 8721 <NA> <NA> 1-2
## 8722 70,000-79,999 0 3-5
## 8723 70,000-79,999 0 < 1
## 8724 4,000-4,999 0 1-2
## 8725 <NA> <NA> 1-2
## 8726 15,000-19,999 1000-9,999 1-2
## 8727 10,000-14,999 0 < 1
## 8728 1,000-1,999 1-99 3-5
## 8729 <NA> <NA> None
## 8730 60,000-69,999 100-999 < 1
## 8731 30,000-39,999 1000-9,999 1-2
## 8732 150,000-199,999 100-999 3-5
## 8733 3,000-3,999 > 100,000 < 1
## 8734 <NA> <NA> 3-5
## 8735 150,000-199,999 > 100,000 10-20
## 8736 <NA> <NA> 20+
## 8737 90,000-99,999 100-999 < 1
## 8738 50,000-59,999 10,000-99,999 < 1
## 8739 5,000-7,499 100-999 < 1
## 8740 5,000-7,499 0 < 1
## 8741 15,000-19,999 100-999 1-2
## 8742 1,000-1,999 10,000-99,999 5-10
## 8743 <NA> <NA> 3-5
## 8744 0-999 1-99 3-5
## 8745 <NA> <NA> < 1
## 8746 <NA> <NA> < 1
## 8747 2,000-2,999 1000-9,999 < 1
## 8748 1,000-1,999 1-99 1-2
## 8749 100,000-124,999 0 10-20
## 8750 70,000-79,999 0 1-2
## 8751 0-999 1000-9,999 3-5
## 8752 <NA> <NA> < 1
## 8753 100,000-124,999 1000-9,999 < 1
## 8754 90,000-99,999 1000-9,999 5-10
## 8755 0-999 0 None
## 8756 <NA> <NA> < 1
## 8757 100,000-124,999 0 None
## 8758 10,000-14,999 > 100,000 < 1
## 8759 150,000-199,999 0 3-5
## 8760 <NA> <NA> 1-2
## 8761 40,000-49,999 0 < 1
## 8762 60,000-69,999 1000-9,999 3-5
## 8763 200,000-249,999 0 3-5
## 8764 90,000-99,999 > 100,000 1-2
## 8765 50,000-59,999 0 1-2
## 8766 5,000-7,499 0 1-2
## 8767 300,000-500,000 0 5-10
## 8768 0-999 0 < 1
## 8769 7,500-9,999 0 None
## 8770 <NA> <NA> None
## 8771 125,000-149,999 100-999 3-5
## 8772 60,000-69,999 > 100,000 5-10
## 8773 10,000-14,999 1000-9,999 1-2
## 8774 <NA> <NA> < 1
## 8775 90,000-99,999 100-999 20+
## 8776 80,000-89,999 > 100,000 5-10
## 8777 <NA> <NA> 1-2
## 8778 150,000-199,999 > 100,000 10-20
## 8779 60,000-69,999 1000-9,999 5-10
## 8780 <NA> <NA> < 1
## 8781 0-999 100-999 5-10
## 8782 <NA> <NA> < 1
## 8783 <NA> <NA> 1-2
## 8784 4,000-4,999 100-999 1-2
## 8785 60,000-69,999 100-999 3-5
## 8786 1,000-1,999 100-999 5-10
## 8787 30,000-39,999 1-99 3-5
## 8788 80,000-89,999 1-99 10-20
## 8789 20,000-24,999 0 < 1
## 8790 50,000-59,999 10,000-99,999 3-5
## 8791 20,000-24,999 100-999 10-20
## 8792 200,000-249,999 > 100,000 20+
## 8793 0-999 0 None
## 8794 20,000-24,999 1-99 1-2
## 8795 40,000-49,999 0 None
## 8796 <NA> <NA> < 1
## 8797 70,000-79,999 10,000-99,999 1-2
## 8798 0-999 0 1-2
## 8799 <NA> <NA> < 1
## 8800 2,000-2,999 100-999 3-5
## 8801 10,000-14,999 1000-9,999 1-2
## 8802 80,000-89,999 0 10-20
## 8803 0-999 0 < 1
## 8804 60,000-69,999 0 5-10
## 8805 5,000-7,499 100-999 < 1
## 8806 0-999 1000-9,999 < 1
## 8807 5,000-7,499 1-99 1-2
## 8808 7,500-9,999 0 3-5
## 8809 <NA> <NA> 1-2
## 8810 <NA> <NA> < 1
## 8811 <NA> <NA> None
## 8812 25,000-29,999 0 < 1
## 8813 50,000-59,999 100-999 3-5
## 8814 1,000-1,999 100-999 3-5
## 8815 <NA> <NA> < 1
## 8816 1,000-1,999 1000-9,999 3-5
## 8817 5,000-7,499 0 < 1
## 8818 40,000-49,999 1000-9,999 1-2
## 8819 70,000-79,999 1-99 3-5
## 8820 0-999 1-99 < 1
## 8821 <NA> <NA> 1-2
## 8822 50,000-59,999 0 5-10
## 8823 5,000-7,499 1000-9,999 5-10
## 8824 10,000-14,999 0 3-5
## 8825 25,000-29,999 100-999 1-2
## 8826 0-999 0 < 1
## 8827 40,000-49,999 1000-9,999 5-10
## 8828 <NA> <NA> None
## 8829 <NA> <NA> < 1
## 8830 50,000-59,999 > 100,000 1-2
## 8831 70,000-79,999 100-999 3-5
## 8832 1,000-1,999 0 None
## 8833 50,000-59,999 0 3-5
## 8834 15,000-19,999 0 1-2
## 8835 <NA> <NA> 1-2
## 8836 200,000-249,999 > 100,000 3-5
## 8837 30,000-39,999 > 100,000 5-10
## 8838 70,000-79,999 1000-9,999 5-10
## 8839 100,000-124,999 100-999 3-5
## 8840 125,000-149,999 1000-9,999 20+
## 8841 100,000-124,999 0 3-5
## 8842 300,000-500,000 1000-9,999 1-2
## 8843 <NA> <NA> < 1
## 8844 0-999 100-999 < 1
## 8845 30,000-39,999 1000-9,999 3-5
## 8846 300,000-500,000 1000-9,999 None
## 8847 80,000-89,999 1000-9,999 20+
## 8848 5,000-7,499 1-99 < 1
## 8849 <NA> <NA> < 1
## 8850 <NA> <NA> < 1
## 8851 10,000-14,999 0 1-2
## 8852 <NA> <NA> < 1
## 8853 30,000-39,999 10,000-99,999 5-10
## 8854 100,000-124,999 10,000-99,999 10-20
## 8855 25,000-29,999 100-999 10-20
## 8856 2,000-2,999 0 3-5
## 8857 10,000-14,999 1-99 None
## 8858 40,000-49,999 10,000-99,999 < 1
## 8859 <NA> <NA> 3-5
## 8860 <NA> <NA> 10-20
## 8861 150,000-199,999 0 20+
## 8862 150,000-199,999 10,000-99,999 20+
## 8863 30,000-39,999 1000-9,999 3-5
## 8864 <NA> <NA> < 1
## 8865 150,000-199,999 1000-9,999 5-10
## 8866 1,000-1,999 1000-9,999 1-2
## 8867 80,000-89,999 1-99 3-5
## 8868 1,000-1,999 0 < 1
## 8869 150,000-199,999 10,000-99,999 5-10
## 8870 50,000-59,999 10,000-99,999 3-5
## 8871 200,000-249,999 1000-9,999 5-10
## 8872 <NA> <NA> 1-2
## 8873 70,000-79,999 1000-9,999 5-10
## 8874 100,000-124,999 10,000-99,999 1-2
## 8875 <NA> <NA> 1-2
## 8876 125,000-149,999 100-999 3-5
## 8877 4,000-4,999 1-99 None
## 8878 0-999 10,000-99,999 10-20
## 8879 15,000-19,999 100-999 5-10
## 8880 60,000-69,999 100-999 10-20
## 8881 15,000-19,999 1-99 < 1
## 8882 1,000-1,999 1-99 None
## 8883 125,000-149,999 1000-9,999 3-5
## 8884 250,000-299,999 > 100,000 10-20
## 8885 50,000-59,999 10,000-99,999 10-20
## 8886 <NA> <NA> 1-2
## 8887 40,000-49,999 10,000-99,999 3-5
## 8888 90,000-99,999 1-99 3-5
## 8889 40,000-49,999 100-999 5-10
## 8890 15,000-19,999 100-999 1-2
## 8891 3,000-3,999 100-999 < 1
## 8892 60,000-69,999 0 1-2
## 8893 15,000-19,999 1000-9,999 < 1
## 8894 60,000-69,999 100-999 < 1
## 8895 40,000-49,999 0 3-5
## 8896 <NA> <NA> < 1
## 8897 <NA> <NA> 1-2
## 8898 30,000-39,999 1000-9,999 3-5
## 8899 50,000-59,999 100-999 1-2
## 8900 <NA> <NA> < 1
## 8901 1,000-1,999 1000-9,999 1-2
## 8902 <NA> <NA> None
## 8903 0-999 100-999 5-10
## 8904 <NA> <NA> 3-5
## 8905 40,000-49,999 0 3-5
## 8906 10,000-14,999 0 None
## 8907 <NA> <NA> < 1
## 8908 5,000-7,499 100-999 1-2
## 8909 <NA> <NA> 1-2
## 8910 <NA> <NA> 3-5
## 8911 60,000-69,999 1000-9,999 3-5
## 8912 50,000-59,999 0 20+
## 8913 <NA> <NA> 20+
## 8914 2,000-2,999 100-999 < 1
## 8915 50,000-59,999 100-999 5-10
## 8916 <NA> <NA> 3-5
## 8917 <NA> <NA> 1-2
## 8918 60,000-69,999 100-999 < 1
## 8919 150,000-199,999 100-999 1-2
## 8920 3,000-3,999 1000-9,999 3-5
## 8921 0-999 0 < 1
## 8922 100,000-124,999 1000-9,999 5-10
## 8923 3,000-3,999 1000-9,999 < 1
## 8924 150,000-199,999 1000-9,999 10-20
## 8925 <NA> <NA> < 1
## 8926 5,000-7,499 0 3-5
## 8927 3,000-3,999 1000-9,999 10-20
## 8928 80,000-89,999 0 1-2
## 8929 4,000-4,999 1-99 < 1
## 8930 30,000-39,999 0 None
## 8931 25,000-29,999 1000-9,999 3-5
## 8932 80,000-89,999 0 5-10
## 8933 25,000-29,999 0 3-5
## 8934 0-999 1-99 1-2
## 8935 30,000-39,999 100-999 10-20
## 8936 200,000-249,999 > 100,000 10-20
## 8937 <NA> <NA> < 1
## 8938 25,000-29,999 10,000-99,999 3-5
## 8939 1,000-1,999 10,000-99,999 1-2
## 8940 100,000-124,999 10,000-99,999 5-10
## 8941 125,000-149,999 10,000-99,999 10-20
## 8942 10,000-14,999 1000-9,999 5-10
## 8943 1,000-1,999 100-999 1-2
## 8944 1,000-1,999 1000-9,999 < 1
## 8945 50,000-59,999 1000-9,999 < 1
## 8946 30,000-39,999 0 5-10
## 8947 100,000-124,999 1000-9,999 1-2
## 8948 <NA> <NA> < 1
## 8949 0-999 1000-9,999 3-5
## 8950 <NA> <NA> 1-2
## 8951 <NA> <NA> 1-2
## 8952 2,000-2,999 1-99 1-2
## 8953 150,000-199,999 1000-9,999 3-5
## 8954 150,000-199,999 1000-9,999 5-10
## 8955 50,000-59,999 10,000-99,999 3-5
## 8956 90,000-99,999 100-999 3-5
## 8957 4,000-4,999 0 None
## 8958 20,000-24,999 > 100,000 3-5
## 8959 4,000-4,999 100-999 < 1
## 8960 1,000-1,999 0 3-5
## 8961 70,000-79,999 1-99 1-2
## 8962 10,000-14,999 100-999 3-5
## 8963 40,000-49,999 1-99 5-10
## 8964 0-999 1000-9,999 < 1
## 8965 <NA> <NA> < 1
## 8966 125,000-149,999 10,000-99,999 5-10
## 8967 0-999 0 None
## 8968 <NA> <NA> 1-2
## 8969 15,000-19,999 1-99 < 1
## 8970 20,000-24,999 0 1-2
## 8971 100,000-124,999 1000-9,999 5-10
## 8972 <NA> <NA> 5-10
## 8973 0-999 100-999 < 1
## 8974 150,000-199,999 10,000-99,999 5-10
## 8975 <NA> <NA> None
## 8976 0-999 100-999 5-10
## 8977 100,000-124,999 10,000-99,999 1-2
## 8978 125,000-149,999 1-99 5-10
## 8979 <NA> <NA> < 1
## 8980 100,000-124,999 1000-9,999 < 1
## 8981 25,000-29,999 100-999 3-5
## 8982 5,000-7,499 1000-9,999 < 1
## 8983 50,000-59,999 0 < 1
## 8984 0-999 100-999 < 1
## 8985 300,000-500,000 0 None
## 8986 2,000-2,999 0 1-2
## 8987 1,000-1,999 1-99 None
## 8988 2,000-2,999 1000-9,999 1-2
## 8989 <NA> <NA> < 1
## 8990 70,000-79,999 10,000-99,999 20+
## 8991 <NA> <NA> 1-2
## 8992 40,000-49,999 1000-9,999 1-2
## 8993 0-999 0 < 1
## 8994 10,000-14,999 100-999 1-2
## 8995 <NA> <NA> < 1
## 8996 <NA> <NA> 1-2
## 8997 7,500-9,999 0 1-2
## 8998 0-999 10,000-99,999 3-5
## 8999 0-999 100-999 10-20
## 9000 1,000-1,999 100-999 5-10
## 9001 <NA> <NA> < 1
## 9002 20,000-24,999 1000-9,999 3-5
## 9003 4,000-4,999 100-999 1-2
## 9004 <NA> <NA> < 1
## 9005 <NA> <NA> 3-5
## 9006 <NA> <NA> 1-2
## 9007 50,000-59,999 100-999 10-20
## 9008 2,000-2,999 100-999 3-5
## 9009 <NA> <NA> 1-2
## 9010 30,000-39,999 10,000-99,999 3-5
## 9011 <NA> <NA> 3-5
## 9012 100,000-124,999 1000-9,999 1-2
## 9013 <NA> <NA> 3-5
## 9014 0-999 0 < 1
## 9015 0-999 100-999 < 1
## 9016 <NA> <NA> < 1
## 9017 7,500-9,999 100-999 1-2
## 9018 150,000-199,999 > 100,000 20+
## 9019 <NA> <NA> < 1
## 9020 200,000-249,999 1000-9,999 20+
## 9021 <NA> <NA> 3-5
## 9022 90,000-99,999 0 < 1
## 9023 1,000-1,999 1-99 < 1
## 9024 <NA> <NA> 1-2
## 9025 7,500-9,999 1000-9,999 20+
## 9026 125,000-149,999 1000-9,999 3-5
## 9027 5,000-7,499 0 < 1
## 9028 60,000-69,999 0 3-5
## 9029 20,000-24,999 1-99 3-5
## 9030 <NA> <NA> < 1
## 9031 300,000-500,000 10,000-99,999 None
## 9032 <NA> <NA> 3-5
## 9033 0-999 100-999 1-2
## 9034 200,000-249,999 > 100,000 10-20
## 9035 <NA> <NA> < 1
## 9036 0-999 0 1-2
## 9037 30,000-39,999 0 5-10
## 9038 10,000-14,999 100-999 3-5
## 9039 200,000-249,999 10,000-99,999 10-20
## 9040 <NA> <NA> 1-2
## 9041 60,000-69,999 100-999 5-10
## 9042 <NA> <NA> 1-2
## 9043 10,000-14,999 0 3-5
## 9044 150,000-199,999 100-999 10-20
## 9045 2,000-2,999 1000-9,999 1-2
## 9046 <NA> <NA> 3-5
## 9047 0-999 100-999 None
## 9048 <NA> <NA> None
## 9049 40,000-49,999 > 100,000 1-2
## 9050 <NA> <NA> < 1
## 9051 300,000-500,000 1000-9,999 10-20
## 9052 150,000-199,999 0 3-5
## 9053 <NA> <NA> < 1
## 9054 <NA> <NA> < 1
## 9055 70,000-79,999 1-99 5-10
## 9056 5,000-7,499 100-999 < 1
## 9057 <NA> <NA> 1-2
## 9058 0-999 100-999 1-2
## 9059 125,000-149,999 100-999 3-5
## 9060 <NA> <NA> < 1
## 9061 70,000-79,999 0 1-2
## 9062 30,000-39,999 1-99 3-5
## 9063 30,000-39,999 0 5-10
## 9064 10,000-14,999 0 1-2
## 9065 0-999 0 None
## 9066 <NA> <NA> 5-10
## 9067 15,000-19,999 1-99 5-10
## 9068 5,000-7,499 100-999 1-2
## 9069 <NA> <NA> 1-2
## 9070 20,000-24,999 10,000-99,999 3-5
## 9071 <NA> <NA> 1-2
## 9072 80,000-89,999 10,000-99,999 3-5
## 9073 100,000-124,999 10,000-99,999 1-2
## 9074 5,000-7,499 1-99 < 1
## 9075 30,000-39,999 0 1-2
## 9076 1,000-1,999 0 3-5
## 9077 50,000-59,999 10,000-99,999 10-20
## 9078 30,000-39,999 0 3-5
## 9079 <NA> <NA> < 1
## 9080 150,000-199,999 100-999 3-5
## 9081 5,000-7,499 1-99 1-2
## 9082 <NA> <NA> 1-2
## 9083 <NA> <NA> < 1
## 9084 10,000-14,999 0 < 1
## 9085 30,000-39,999 1000-9,999 < 1
## 9086 40,000-49,999 1000-9,999 5-10
## 9087 50,000-59,999 100-999 1-2
## 9088 <NA> <NA> 1-2
## 9089 <NA> <NA> 3-5
## 9090 30,000-39,999 0 5-10
## 9091 <NA> <NA> 1-2
## 9092 <NA> <NA> 1-2
## 9093 <NA> <NA> 1-2
## 9094 3,000-3,999 0 < 1
## 9095 30,000-39,999 0 < 1
## 9096 <NA> <NA> < 1
## 9097 150,000-199,999 1000-9,999 5-10
## 9098 <NA> <NA> 3-5
## 9099 70,000-79,999 10,000-99,999 5-10
## 9100 <NA> <NA> < 1
## 9101 <NA> <NA> < 1
## 9102 4,000-4,999 100-999 1-2
## 9103 20,000-24,999 1-99 None
## 9104 <NA> <NA> 1-2
## 9105 <NA> <NA> None
## 9106 150,000-199,999 10,000-99,999 5-10
## 9107 1,000-1,999 100-999 3-5
## 9108 <NA> <NA> < 1
## 9109 <NA> <NA> 1-2
## 9110 0-999 0 10-20
## 9111 50,000-59,999 100-999 < 1
## 9112 90,000-99,999 0 3-5
## 9113 150,000-199,999 1000-9,999 20+
## 9114 2,000-2,999 1000-9,999 3-5
## 9115 40,000-49,999 1000-9,999 3-5
## 9116 <NA> <NA> None
## 9117 60,000-69,999 0 1-2
## 9118 <NA> <NA> 1-2
## 9119 100,000-124,999 100-999 20+
## 9120 100,000-124,999 0 20+
## 9121 10,000-14,999 > 100,000 1-2
## 9122 15,000-19,999 0 1-2
## 9123 <NA> <NA> 1-2
## 9124 90,000-99,999 0 < 1
## 9125 0-999 0 < 1
## 9126 <NA> <NA> None
## 9127 100,000-124,999 10,000-99,999 10-20
## 9128 0-999 1000-9,999 < 1
## 9129 <NA> <NA> 3-5
## 9130 <NA> <NA> < 1
## 9131 <NA> <NA> 1-2
## 9132 30,000-39,999 1-99 1-2
## 9133 40,000-49,999 1000-9,999 5-10
## 9134 0-999 100-999 1-2
## 9135 30,000-39,999 100-999 None
## 9136 4,000-4,999 0 None
## 9137 <NA> <NA> 1-2
## 9138 125,000-149,999 100-999 1-2
## 9139 > 500,000 10,000-99,999 10-20
## 9140 <NA> <NA> 1-2
## 9141 15,000-19,999 100-999 < 1
## 9142 5,000-7,499 10,000-99,999 None
## 9143 0-999 0 1-2
## 9144 5,000-7,499 0 < 1
## 9145 7,500-9,999 1-99 1-2
## 9146 <NA> <NA> None
## 9147 <NA> <NA> < 1
## 9148 70,000-79,999 100-999 None
## 9149 <NA> <NA> 1-2
## 9150 5,000-7,499 0 1-2
## 9151 <NA> <NA> < 1
## 9152 5,000-7,499 0 None
## 9153 7,500-9,999 1-99 < 1
## 9154 0-999 100-999 < 1
## 9155 15,000-19,999 100-999 20+
## 9156 <NA> <NA> < 1
## 9157 5,000-7,499 100-999 < 1
## 9158 10,000-14,999 0 5-10
## 9159 1,000-1,999 1-99 1-2
## 9160 <NA> <NA> 3-5
## 9161 10,000-14,999 0 1-2
## 9162 80,000-89,999 10,000-99,999 3-5
## 9163 <NA> <NA> 1-2
## 9164 10,000-14,999 100-999 < 1
## 9165 <NA> <NA> < 1
## 9166 30,000-39,999 100-999 1-2
## 9167 60,000-69,999 10,000-99,999 5-10
## 9168 0-999 1-99 < 1
## 9169 <NA> <NA> 3-5
## 9170 <NA> <NA> < 1
## 9171 10,000-14,999 1-99 < 1
## 9172 <NA> <NA> < 1
## 9173 <NA> <NA> 1-2
## 9174 100,000-124,999 > 100,000 3-5
## 9175 150,000-199,999 10,000-99,999 1-2
## 9176 <NA> <NA> 1-2
## 9177 20,000-24,999 1000-9,999 20+
## 9178 0-999 0 1-2
## 9179 7,500-9,999 1000-9,999 < 1
## 9180 0-999 0 1-2
## 9181 0-999 0 1-2
## 9182 20,000-24,999 100-999 5-10
## 9183 <NA> <NA> 1-2
## 9184 2,000-2,999 0 5-10
## 9185 10,000-14,999 10,000-99,999 1-2
## 9186 <NA> <NA> < 1
## 9187 20,000-24,999 1-99 < 1
## 9188 0-999 0 1-2
## 9189 20,000-24,999 10,000-99,999 10-20
## 9190 0-999 100-999 20+
## 9191 125,000-149,999 > 100,000 5-10
## 9192 <NA> <NA> None
## 9193 <NA> <NA> < 1
## 9194 <NA> <NA> 1-2
## 9195 15,000-19,999 0 1-2
## 9196 <NA> <NA> < 1
## 9197 <NA> <NA> 1-2
## 9198 <NA> <NA> None
## 9199 1,000-1,999 1-99 3-5
## 9200 4,000-4,999 1000-9,999 1-2
## 9201 <NA> <NA> < 1
## 9202 7,500-9,999 1-99 < 1
## 9203 125,000-149,999 1000-9,999 5-10
## 9204 <NA> <NA> 1-2
## 9205 <NA> <NA> 1-2
## 9206 <NA> <NA> < 1
## 9207 4,000-4,999 1-99 < 1
## 9208 0-999 1000-9,999 1-2
## 9209 50,000-59,999 1000-9,999 None
## 9210 250,000-299,999 0 10-20
## 9211 60,000-69,999 100-999 5-10
## 9212 40,000-49,999 10,000-99,999 10-20
## 9213 50,000-59,999 1000-9,999 1-2
## 9214 50,000-59,999 0 5-10
## 9215 <NA> <NA> < 1
## 9216 0-999 1000-9,999 3-5
## 9217 4,000-4,999 0 < 1
## 9218 <NA> <NA> 1-2
## 9219 <NA> <NA> None
## 9220 20,000-24,999 100-999 1-2
## 9221 7,500-9,999 100-999 3-5
## 9222 3,000-3,999 0 < 1
## 9223 <NA> <NA> < 1
## 9224 <NA> <NA> < 1
## 9225 <NA> <NA> None
## 9226 <NA> <NA> 1-2
## 9227 20,000-24,999 0 3-5
## 9228 <NA> <NA> < 1
## 9229 40,000-49,999 0 1-2
## 9230 50,000-59,999 1000-9,999 3-5
## 9231 30,000-39,999 0 5-10
## 9232 125,000-149,999 > 100,000 1-2
## 9233 2,000-2,999 1-99 1-2
## 9234 <NA> <NA> None
## 9235 1,000-1,999 1-99 < 1
## 9236 <NA> <NA> < 1
## 9237 100,000-124,999 10,000-99,999 20+
## 9238 1,000-1,999 1-99 3-5
## 9239 50,000-59,999 100-999 < 1
## 9240 <NA> <NA> < 1
## 9241 30,000-39,999 10,000-99,999 5-10
## 9242 80,000-89,999 1000-9,999 3-5
## 9243 <NA> <NA> 1-2
## 9244 <NA> <NA> < 1
## 9245 <NA> <NA> 1-2
## 9246 <NA> <NA> 10-20
## 9247 7,500-9,999 100-999 1-2
## 9248 0-999 0 3-5
## 9249 10,000-14,999 1000-9,999 1-2
## 9250 <NA> <NA> 1-2
## 9251 100,000-124,999 > 100,000 5-10
## 9252 100,000-124,999 100-999 5-10
## 9253 60,000-69,999 100-999 < 1
## 9254 0-999 1000-9,999 < 1
## 9255 30,000-39,999 1000-9,999 5-10
## 9256 5,000-7,499 0 < 1
## 9257 10,000-14,999 > 100,000 3-5
## 9258 200,000-249,999 0 3-5
## 9259 <NA> <NA> 1-2
## 9260 4,000-4,999 100-999 1-2
## 9261 0-999 100-999 1-2
## 9262 0-999 0 < 1
## 9263 90,000-99,999 1000-9,999 None
## 9264 0-999 0 1-2
## 9265 0-999 0 1-2
## 9266 10,000-14,999 0 1-2
## 9267 10,000-14,999 1000-9,999 3-5
## 9268 0-999 1000-9,999 10-20
## 9269 <NA> <NA> < 1
## 9270 2,000-2,999 0 1-2
## 9271 <NA> <NA> < 1
## 9272 <NA> <NA> < 1
## 9273 0-999 1-99 None
## 9274 20,000-24,999 1000-9,999 5-10
## 9275 2,000-2,999 0 None
## 9276 5,000-7,499 100-999 3-5
## 9277 100,000-124,999 1-99 3-5
## 9278 <NA> <NA> 1-2
## 9279 0-999 1-99 None
## 9280 <NA> <NA> < 1
## 9281 15,000-19,999 0 5-10
## 9282 90,000-99,999 1000-9,999 3-5
## 9283 0-999 0 < 1
## 9284 60,000-69,999 1000-9,999 < 1
## 9285 <NA> <NA> 1-2
## 9286 70,000-79,999 0 < 1
## 9287 10,000-14,999 0 5-10
## 9288 <NA> <NA> 1-2
## 9289 <NA> <NA> None
## 9290 <NA> <NA> 3-5
## 9291 60,000-69,999 1000-9,999 3-5
## 9292 80,000-89,999 0 10-20
## 9293 <NA> <NA> 1-2
## 9294 <NA> <NA> 3-5
## 9295 100,000-124,999 100-999 5-10
## 9296 20,000-24,999 10,000-99,999 3-5
## 9297 <NA> <NA> 20+
## 9298 2,000-2,999 100-999 1-2
## 9299 0-999 1-99 1-2
## 9300 0-999 0 < 1
## 9301 0-999 0 1-2
## 9302 125,000-149,999 10,000-99,999 10-20
## 9303 1,000-1,999 0 3-5
## 9304 90,000-99,999 1000-9,999 1-2
## 9305 50,000-59,999 0 20+
## 9306 <NA> <NA> 1-2
## 9307 <NA> <NA> 1-2
## 9308 <NA> <NA> < 1
## 9309 0-999 1-99 < 1
## 9310 0-999 0 1-2
## 9311 25,000-29,999 100-999 5-10
## 9312 0-999 100-999 1-2
## 9313 1,000-1,999 10,000-99,999 1-2
## 9314 <NA> <NA> < 1
## 9315 100,000-124,999 100-999 3-5
## 9316 0-999 100-999 1-2
## 9317 30,000-39,999 > 100,000 1-2
## 9318 <NA> <NA> 1-2
## 9319 50,000-59,999 10,000-99,999 1-2
## 9320 <NA> <NA> None
## 9321 > 500,000 10,000-99,999 5-10
## 9322 3,000-3,999 0 None
## 9323 4,000-4,999 0 < 1
## 9324 0-999 1-99 1-2
## 9325 30,000-39,999 1-99 5-10
## 9326 <NA> <NA> 1-2
## 9327 20,000-24,999 > 100,000 3-5
## 9328 <NA> <NA> 1-2
## 9329 5,000-7,499 100-999 1-2
## 9330 0-999 1-99 5-10
## 9331 90,000-99,999 10,000-99,999 3-5
## 9332 0-999 0 < 1
## 9333 40,000-49,999 100-999 < 1
## 9334 0-999 100-999 None
## 9335 3,000-3,999 1-99 1-2
## 9336 <NA> <NA> None
## 9337 15,000-19,999 1000-9,999 3-5
## 9338 20,000-24,999 1-99 1-2
## 9339 5,000-7,499 0 10-20
## 9340 60,000-69,999 100-999 5-10
## 9341 <NA> <NA> < 1
## 9342 <NA> <NA> < 1
## 9343 <NA> <NA> < 1
## 9344 0-999 100-999 1-2
## 9345 <NA> <NA> 1-2
## 9346 7,500-9,999 1-99 3-5
## 9347 70,000-79,999 100-999 3-5
## 9348 <NA> <NA> < 1
## 9349 4,000-4,999 100-999 20+
## 9350 7,500-9,999 0 20+
## 9351 <NA> <NA> 3-5
## 9352 <NA> <NA> 1-2
## 9353 <NA> <NA> 1-2
## 9354 7,500-9,999 0 5-10
## 9355 10,000-14,999 0 1-2
## 9356 15,000-19,999 1000-9,999 1-2
## 9357 5,000-7,499 1000-9,999 1-2
## 9358 10,000-14,999 > 100,000 < 1
## 9359 20,000-24,999 1-99 5-10
## 9360 50,000-59,999 1000-9,999 20+
## 9361 7,500-9,999 0 < 1
## 9362 <NA> <NA> < 1
## 9363 7,500-9,999 0 1-2
## 9364 25,000-29,999 1-99 5-10
## 9365 0-999 100-999 3-5
## 9366 0-999 1-99 < 1
## 9367 <NA> <NA> < 1
## 9368 5,000-7,499 0 1-2
## 9369 50,000-59,999 0 < 1
## 9370 3,000-3,999 0 < 1
## 9371 7,500-9,999 100-999 1-2
## 9372 7,500-9,999 0 3-5
## 9373 0-999 0 None
## 9374 10,000-14,999 0 < 1
## 9375 3,000-3,999 100-999 1-2
## 9376 25,000-29,999 100-999 3-5
## 9377 20,000-24,999 1000-9,999 10-20
## 9378 1,000-1,999 100-999 < 1
## 9379 50,000-59,999 1000-9,999 3-5
## 9380 <NA> <NA> < 1
## 9381 90,000-99,999 0 3-5
## 9382 <NA> <NA> < 1
## 9383 0-999 0 < 1
## 9384 10,000-14,999 0 < 1
## 9385 0-999 1-99 1-2
## 9386 3,000-3,999 1-99 < 1
## 9387 <NA> <NA> < 1
## 9388 20,000-24,999 100-999 10-20
## 9389 <NA> <NA> < 1
## 9390 <NA> <NA> < 1
## 9391 0-999 0 < 1
## 9392 0-999 1-99 1-2
## 9393 <NA> <NA> < 1
## 9394 30,000-39,999 1000-9,999 5-10
## 9395 10,000-14,999 1000-9,999 3-5
## 9396 0-999 100-999 1-2
## 9397 10,000-14,999 1000-9,999 5-10
## 9398 20,000-24,999 0 < 1
## 9399 1,000-1,999 1000-9,999 1-2
## 9400 0-999 100-999 1-2
## 9401 80,000-89,999 100-999 3-5
## 9402 <NA> <NA> < 1
## 9403 > 500,000 0 5-10
## 9404 3,000-3,999 1-99 1-2
## 9405 0-999 1-99 < 1
## 9406 10,000-14,999 1000-9,999 3-5
## 9407 5,000-7,499 0 None
## 9408 40,000-49,999 100-999 5-10
## 9409 125,000-149,999 10,000-99,999 3-5
## 9410 0-999 0 < 1
## 9411 30,000-39,999 100-999 < 1
## 9412 5,000-7,499 0 < 1
## 9413 30,000-39,999 > 100,000 < 1
## 9414 60,000-69,999 0 1-2
## 9415 0-999 1-99 < 1
## 9416 1,000-1,999 100-999 1-2
## 9417 1,000-1,999 1000-9,999 1-2
## 9418 <NA> <NA> 1-2
## 9419 3,000-3,999 0 1-2
## 9420 <NA> <NA> < 1
## 9421 2,000-2,999 0 < 1
## 9422 <NA> <NA> 1-2
## 9423 25,000-29,999 1000-9,999 5-10
## 9424 7,500-9,999 0 None
## 9425 150,000-199,999 1000-9,999 3-5
## 9426 40,000-49,999 0 3-5
## 9427 80,000-89,999 1000-9,999 3-5
## 9428 0-999 1-99 < 1
## 9429 5,000-7,499 1000-9,999 < 1
## 9430 <NA> <NA> < 1
## 9431 0-999 0 1-2
## 9432 10,000-14,999 0 < 1
## 9433 10,000-14,999 0 < 1
## 9434 30,000-39,999 0 3-5
## 9435 30,000-39,999 0 10-20
## 9436 4,000-4,999 1-99 < 1
## 9437 10,000-14,999 0 < 1
## 9438 <NA> <NA> 20+
## 9439 10,000-14,999 100-999 3-5
## 9440 1,000-1,999 1-99 1-2
## 9441 <NA> <NA> 1-2
## 9442 <NA> <NA> < 1
## 9443 25,000-29,999 1-99 3-5
## 9444 15,000-19,999 100-999 1-2
## 9445 <NA> <NA> None
## 9446 3,000-3,999 1-99 None
## 9447 5,000-7,499 0 1-2
## 9448 2,000-2,999 100-999 10-20
## 9449 20,000-24,999 100-999 < 1
## 9450 50,000-59,999 100-999 1-2
## 9451 250,000-299,999 100-999 5-10
## 9452 70,000-79,999 10,000-99,999 5-10
## 9453 0-999 1-99 1-2
## 9454 <NA> <NA> < 1
## 9455 <NA> <NA> < 1
## 9456 80,000-89,999 1000-9,999 < 1
## 9457 60,000-69,999 0 None
## 9458 150,000-199,999 10,000-99,999 3-5
## 9459 0-999 0 5-10
## 9460 125,000-149,999 > 100,000 3-5
## 9461 0-999 100-999 3-5
## 9462 3,000-3,999 1000-9,999 < 1
## 9463 0-999 0 1-2
## 9464 5,000-7,499 0 < 1
## 9465 70,000-79,999 1000-9,999 3-5
## 9466 50,000-59,999 10,000-99,999 < 1
## 9467 <NA> <NA> < 1
## 9468 25,000-29,999 0 1-2
## 9469 7,500-9,999 10,000-99,999 3-5
## 9470 20,000-24,999 100-999 1-2
## 9471 0-999 1-99 < 1
## 9472 <NA> <NA> 1-2
## 9473 25,000-29,999 100-999 1-2
## 9474 0-999 1-99 3-5
## 9475 0-999 0 < 1
## 9476 0-999 1000-9,999 < 1
## 9477 <NA> <NA> < 1
## 9478 25,000-29,999 1000-9,999 1-2
## 9479 <NA> <NA> < 1
## 9480 1,000-1,999 0 1-2
## 9481 <NA> <NA> < 1
## 9482 4,000-4,999 100-999 < 1
## 9483 15,000-19,999 100-999 5-10
## 9484 40,000-49,999 100-999 10-20
## 9485 100,000-124,999 1-99 < 1
## 9486 20,000-24,999 0 1-2
## 9487 <NA> <NA> < 1
## 9488 10,000-14,999 0 None
## 9489 30,000-39,999 100-999 3-5
## 9490 30,000-39,999 100-999 < 1
## 9491 <NA> <NA> < 1
## 9492 <NA> <NA> < 1
## 9493 10,000-14,999 100-999 < 1
## 9494 15,000-19,999 10,000-99,999 3-5
## 9495 <NA> <NA> 3-5
## 9496 125,000-149,999 10,000-99,999 5-10
## 9497 5,000-7,499 100-999 1-2
## 9498 150,000-199,999 10,000-99,999 5-10
## 9499 70,000-79,999 100-999 20+
## 9500 80,000-89,999 0 None
## 9501 30,000-39,999 100-999 3-5
## 9502 30,000-39,999 0 None
## 9503 10,000-14,999 0 1-2
## 9504 0-999 100-999 None
## 9505 1,000-1,999 0 < 1
## 9506 <NA> <NA> 3-5
## 9507 10,000-14,999 1000-9,999 < 1
## 9508 10,000-14,999 100-999 1-2
## 9509 2,000-2,999 0 < 1
## 9510 30,000-39,999 1000-9,999 3-5
## 9511 1,000-1,999 1-99 1-2
## 9512 0-999 0 5-10
## 9513 15,000-19,999 1000-9,999 < 1
## 9514 1,000-1,999 0 None
## 9515 125,000-149,999 10,000-99,999 1-2
## 9516 3,000-3,999 100-999 < 1
## 9517 3,000-3,999 1000-9,999 1-2
## 9518 30,000-39,999 0 3-5
## 9519 10,000-14,999 10,000-99,999 < 1
## 9520 0-999 100-999 1-2
## 9521 15,000-19,999 0 < 1
## 9522 100,000-124,999 10,000-99,999 3-5
## 9523 7,500-9,999 1-99 3-5
## 9524 0-999 1-99 < 1
## 9525 1,000-1,999 1-99 3-5
## 9526 <NA> <NA> None
## 9527 125,000-149,999 10,000-99,999 10-20
## 9528 15,000-19,999 > 100,000 3-5
## 9529 30,000-39,999 100-999 5-10
## 9530 0-999 1-99 < 1
## 9531 10,000-14,999 100-999 5-10
## 9532 10,000-14,999 0 3-5
## 9533 5,000-7,499 10,000-99,999 1-2
## 9534 2,000-2,999 1-99 3-5
## 9535 20,000-24,999 0 None
## 9536 <NA> <NA> 1-2
## 9537 80,000-89,999 0 5-10
## 9538 50,000-59,999 > 100,000 5-10
## 9539 30,000-39,999 100-999 1-2
## 9540 60,000-69,999 10,000-99,999 1-2
## 9541 <NA> <NA> 1-2
## 9542 70,000-79,999 0 < 1
## 9543 10,000-14,999 0 < 1
## 9544 <NA> <NA> < 1
## 9545 1,000-1,999 0 None
## 9546 15,000-19,999 0 None
## 9547 <NA> <NA> 1-2
## 9548 <NA> <NA> < 1
## 9549 5,000-7,499 100-999 < 1
## 9550 50,000-59,999 0 None
## 9551 <NA> <NA> < 1
## 9552 3,000-3,999 0 < 1
## 9553 40,000-49,999 1-99 1-2
## 9554 10,000-14,999 100-999 < 1
## 9555 60,000-69,999 > 100,000 20+
## 9556 2,000-2,999 1-99 3-5
## 9557 15,000-19,999 0 3-5
## 9558 <NA> <NA> < 1
## 9559 <NA> <NA> None
## 9560 70,000-79,999 0 3-5
## 9561 4,000-4,999 100-999 < 1
## 9562 <NA> <NA> 1-2
## 9563 5,000-7,499 1-99 1-2
## 9564 0-999 0 3-5
## 9565 40,000-49,999 0 3-5
## 9566 80,000-89,999 0 3-5
## 9567 <NA> <NA> < 1
## 9568 10,000-14,999 0 5-10
## 9569 70,000-79,999 10,000-99,999 10-20
## 9570 0-999 0 1-2
## 9571 90,000-99,999 > 100,000 5-10
## 9572 0-999 1-99 3-5
## 9573 15,000-19,999 0 3-5
## 9574 70,000-79,999 1-99 < 1
## 9575 60,000-69,999 1-99 10-20
## 9576 <NA> <NA> < 1
## 9577 0-999 0 < 1
## 9578 <NA> <NA> < 1
## 9579 90,000-99,999 0 3-5
## 9580 3,000-3,999 0 < 1
## 9581 100,000-124,999 0 10-20
## 9582 0-999 1-99 3-5
## 9583 100,000-124,999 10,000-99,999 10-20
## 9584 0-999 0 None
## 9585 5,000-7,499 1000-9,999 5-10
## 9586 5,000-7,499 100-999 < 1
## 9587 0-999 0 < 1
## 9588 <NA> <NA> < 1
## 9589 30,000-39,999 1000-9,999 1-2
## 9590 20,000-24,999 1000-9,999 5-10
## 9591 0-999 0 < 1
## 9592 <NA> <NA> < 1
## 9593 30,000-39,999 100-999 3-5
## 9594 3,000-3,999 1000-9,999 < 1
## 9595 30,000-39,999 0 10-20
## 9596 10,000-14,999 1000-9,999 1-2
## 9597 30,000-39,999 0 1-2
## 9598 200,000-249,999 10,000-99,999 10-20
## 9599 60,000-69,999 1000-9,999 5-10
## 9600 <NA> <NA> < 1
## 9601 <NA> <NA> 1-2
## 9602 0-999 100-999 3-5
## 9603 10,000-14,999 100-999 5-10
## 9604 <NA> <NA> < 1
## 9605 50,000-59,999 1000-9,999 20+
## 9606 40,000-49,999 1-99 3-5
## 9607 <NA> <NA> < 1
## 9608 <NA> <NA> 3-5
## 9609 60,000-69,999 10,000-99,999 5-10
## 9610 <NA> <NA> < 1
## 9611 70,000-79,999 10,000-99,999 5-10
## 9612 10,000-14,999 0 < 1
## 9613 25,000-29,999 0 1-2
## 9614 <NA> <NA> 3-5
## 9615 50,000-59,999 0 3-5
## 9616 <NA> <NA> < 1
## 9617 150,000-199,999 0 < 1
## 9618 60,000-69,999 > 100,000 10-20
## 9619 90,000-99,999 1000-9,999 20+
## 9620 1,000-1,999 1-99 < 1
## 9621 <NA> <NA> < 1
## 9622 50,000-59,999 0 20+
## 9623 2,000-2,999 0 < 1
## 9624 7,500-9,999 0 1-2
## 9625 0-999 1-99 1-2
## 9626 50,000-59,999 100-999 1-2
## 9627 <NA> <NA> 3-5
## 9628 5,000-7,499 1000-9,999 3-5
## 9629 1,000-1,999 0 5-10
## 9630 50,000-59,999 0 3-5
## 9631 3,000-3,999 10,000-99,999 < 1
## 9632 40,000-49,999 1000-9,999 5-10
## 9633 30,000-39,999 1000-9,999 20+
## 9634 50,000-59,999 100-999 1-2
## 9635 1,000-1,999 0 None
## 9636 20,000-24,999 0 3-5
## 9637 <NA> <NA> < 1
## 9638 20,000-24,999 1000-9,999 5-10
## 9639 <NA> <NA> < 1
## 9640 <NA> <NA> 3-5
## 9641 90,000-99,999 1-99 < 1
## 9642 30,000-39,999 1000-9,999 1-2
## 9643 30,000-39,999 1000-9,999 1-2
## 9644 50,000-59,999 0 3-5
## 9645 <NA> <NA> < 1
## 9646 40,000-49,999 > 100,000 1-2
## 9647 1,000-1,999 100-999 1-2
## 9648 25,000-29,999 100-999 3-5
## 9649 <NA> <NA> < 1
## 9650 20,000-24,999 1000-9,999 < 1
## 9651 50,000-59,999 100-999 < 1
## 9652 40,000-49,999 1000-9,999 5-10
## 9653 5,000-7,499 1-99 3-5
## 9654 40,000-49,999 1000-9,999 3-5
## 9655 70,000-79,999 10,000-99,999 20+
## 9656 60,000-69,999 1-99 < 1
## 9657 <NA> <NA> 1-2
## 9658 125,000-149,999 0 1-2
## 9659 7,500-9,999 100-999 1-2
## 9660 30,000-39,999 1000-9,999 1-2
## 9661 30,000-39,999 1000-9,999 5-10
## 9662 <NA> <NA> < 1
## 9663 <NA> <NA> 1-2
## 9664 2,000-2,999 1000-9,999 10-20
## 9665 90,000-99,999 0 10-20
## 9666 150,000-199,999 10,000-99,999 10-20
## 9667 50,000-59,999 0 20+
## 9668 2,000-2,999 0 3-5
## 9669 10,000-14,999 > 100,000 5-10
## 9670 100,000-124,999 1000-9,999 1-2
## 9671 0-999 1-99 1-2
## 9672 25,000-29,999 > 100,000 3-5
## 9673 70,000-79,999 1000-9,999 3-5
## 9674 20,000-24,999 1-99 5-10
## 9675 5,000-7,499 1-99 3-5
## 9676 50,000-59,999 1000-9,999 3-5
## 9677 25,000-29,999 10,000-99,999 < 1
## 9678 50,000-59,999 10,000-99,999 5-10
## 9679 25,000-29,999 1000-9,999 3-5
## 9680 100,000-124,999 1000-9,999 5-10
## 9681 15,000-19,999 100-999 1-2
## 9682 15,000-19,999 1000-9,999 1-2
## 9683 <NA> <NA> < 1
## 9684 50,000-59,999 0 5-10
## 9685 2,000-2,999 0 3-5
## 9686 10,000-14,999 0 < 1
## 9687 1,000-1,999 100-999 1-2
## 9688 <NA> <NA> < 1
## 9689 25,000-29,999 0 3-5
## 9690 4,000-4,999 100-999 < 1
## 9691 2,000-2,999 1000-9,999 1-2
## 9692 90,000-99,999 0 None
## 9693 20,000-24,999 0 3-5
## 9694 20,000-24,999 0 < 1
## 9695 > 500,000 > 100,000 20+
## 9696 20,000-24,999 10,000-99,999 3-5
## 9697 7,500-9,999 0 1-2
## 9698 40,000-49,999 0 3-5
## 9699 10,000-14,999 1-99 1-2
## 9700 <NA> <NA> 1-2
## 9701 2,000-2,999 100-999 1-2
## 9702 <NA> <NA> < 1
## 9703 125,000-149,999 1000-9,999 5-10
## 9704 100,000-124,999 > 100,000 20+
## 9705 1,000-1,999 100-999 1-2
## 9706 2,000-2,999 100-999 < 1
## 9707 0-999 100-999 1-2
## 9708 7,500-9,999 10,000-99,999 3-5
## 9709 30,000-39,999 0 3-5
## 9710 <NA> <NA> 1-2
## 9711 <NA> <NA> 3-5
## 9712 30,000-39,999 1-99 1-2
## 9713 25,000-29,999 0 1-2
## 9714 <NA> <NA> < 1
## 9715 80,000-89,999 1000-9,999 < 1
## 9716 <NA> <NA> < 1
## 9717 <NA> <NA> 3-5
## 9718 7,500-9,999 0 5-10
## 9719 125,000-149,999 > 100,000 20+
## 9720 5,000-7,499 1-99 < 1
## 9721 <NA> <NA> < 1
## 9722 5,000-7,499 0 < 1
## 9723 40,000-49,999 10,000-99,999 10-20
## 9724 <NA> <NA> 1-2
## 9725 50,000-59,999 0 3-5
## 9726 30,000-39,999 1-99 1-2
## 9727 <NA> <NA> < 1
## 9728 100,000-124,999 0 < 1
## 9729 60,000-69,999 0 3-5
## 9730 10,000-14,999 1000-9,999 5-10
## 9731 20,000-24,999 1-99 1-2
## 9732 30,000-39,999 1000-9,999 < 1
## 9733 0-999 0 < 1
## 9734 25,000-29,999 100-999 1-2
## 9735 5,000-7,499 0 < 1
## 9736 125,000-149,999 10,000-99,999 10-20
## 9737 30,000-39,999 1000-9,999 3-5
## 9738 <NA> <NA> 1-2
## 9739 50,000-59,999 0 20+
## 9740 30,000-39,999 100-999 < 1
## 9741 2,000-2,999 100-999 1-2
## 9742 4,000-4,999 1000-9,999 < 1
## 9743 60,000-69,999 10,000-99,999 10-20
## 9744 <NA> <NA> < 1
## 9745 <NA> <NA> 5-10
## 9746 20,000-24,999 0 3-5
## 9747 100,000-124,999 1000-9,999 10-20
## 9748 <NA> <NA> < 1
## 9749 0-999 100-999 1-2
## 9750 30,000-39,999 10,000-99,999 1-2
## 9751 100,000-124,999 1000-9,999 3-5
## 9752 15,000-19,999 1-99 1-2
## 9753 50,000-59,999 0 20+
## 9754 <NA> <NA> 1-2
## 9755 10,000-14,999 100-999 1-2
## 9756 0-999 0 < 1
## 9757 50,000-59,999 0 20+
## 9758 50,000-59,999 100-999 < 1
## 9759 <NA> <NA> < 1
## 9760 <NA> <NA> < 1
## 9761 0-999 1-99 < 1
## 9762 100,000-124,999 1000-9,999 20+
## 9763 <NA> <NA> 1-2
## 9764 0-999 1-99 < 1
## 9765 100,000-124,999 0 5-10
## 9766 70,000-79,999 > 100,000 5-10
## 9767 3,000-3,999 100-999 < 1
## 9768 <NA> <NA> < 1
## 9769 25,000-29,999 1000-9,999 < 1
## 9770 4,000-4,999 0 < 1
## 9771 1,000-1,999 0 3-5
## 9772 40,000-49,999 100-999 5-10
## 9773 10,000-14,999 100-999 < 1
## 9774 10,000-14,999 0 3-5
## 9775 25,000-29,999 0 < 1
## 9776 <NA> <NA> 3-5
## 9777 2,000-2,999 0 < 1
## 9778 100,000-124,999 1000-9,999 20+
## 9779 0-999 100-999 3-5
## 9780 5,000-7,499 0 < 1
## 9781 7,500-9,999 0 1-2
## 9782 <NA> <NA> None
## 9783 0-999 1-99 3-5
## 9784 10,000-14,999 0 1-2
## 9785 20,000-24,999 100-999 3-5
## 9786 25,000-29,999 10,000-99,999 1-2
## 9787 0-999 0 < 1
## 9788 100,000-124,999 100-999 20+
## 9789 2,000-2,999 100-999 3-5
## 9790 10,000-14,999 10,000-99,999 1-2
## 9791 20,000-24,999 1-99 None
## 9792 60,000-69,999 1000-9,999 None
## 9793 3,000-3,999 1-99 < 1
## 9794 0-999 0 3-5
## 9795 40,000-49,999 1000-9,999 1-2
## 9796 3,000-3,999 100-999 1-2
## 9797 1,000-1,999 0 3-5
## 9798 0-999 0 None
## 9799 <NA> <NA> None
## 9800 <NA> <NA> 10-20
## 9801 0-999 0 < 1
## 9802 100,000-124,999 > 100,000 < 1
## 9803 <NA> <NA> 3-5
## 9804 60,000-69,999 0 < 1
## 9805 2,000-2,999 0 < 1
## 9806 30,000-39,999 0 5-10
## 9807 70,000-79,999 0 3-5
## 9808 3,000-3,999 1-99 < 1
## 9809 10,000-14,999 1000-9,999 1-2
## 9810 4,000-4,999 0 1-2
## 9811 10,000-14,999 0 1-2
## 9812 60,000-69,999 100-999 10-20
## 9813 10,000-14,999 1000-9,999 None
## 9814 30,000-39,999 1000-9,999 3-5
## 9815 30,000-39,999 0 < 1
## 9816 <NA> <NA> < 1
## 9817 40,000-49,999 1-99 1-2
## 9818 <NA> <NA> 5-10
## 9819 20,000-24,999 0 3-5
## 9820 10,000-14,999 0 1-2
## 9821 <NA> <NA> 1-2
## 9822 7,500-9,999 1000-9,999 < 1
## 9823 <NA> <NA> 3-5
## 9824 25,000-29,999 0 5-10
## 9825 2,000-2,999 0 1-2
## 9826 7,500-9,999 100-999 1-2
## 9827 80,000-89,999 0 3-5
## 9828 2,000-2,999 1-99 5-10
## 9829 50,000-59,999 100-999 1-2
## 9830 <NA> <NA> 1-2
## 9831 40,000-49,999 1-99 < 1
## 9832 <NA> <NA> 1-2
## 9833 15,000-19,999 0 < 1
## 9834 150,000-199,999 > 100,000 3-5
## 9835 <NA> <NA> < 1
## 9836 40,000-49,999 10,000-99,999 5-10
## 9837 1,000-1,999 1-99 < 1
## 9838 50,000-59,999 1-99 5-10
## 9839 0-999 1000-9,999 3-5
## 9840 30,000-39,999 > 100,000 None
## 9841 1,000-1,999 0 < 1
## 9842 1,000-1,999 1000-9,999 < 1
## 9843 20,000-24,999 10,000-99,999 3-5
## 9844 50,000-59,999 1000-9,999 5-10
## 9845 <NA> <NA> None
## 9846 1,000-1,999 0 5-10
## 9847 <NA> <NA> < 1
## 9848 30,000-39,999 10,000-99,999 5-10
## 9849 30,000-39,999 100-999 1-2
## 9850 50,000-59,999 1000-9,999 10-20
## 9851 30,000-39,999 100-999 3-5
## 9852 40,000-49,999 1000-9,999 20+
## 9853 0-999 0 1-2
## 9854 3,000-3,999 10,000-99,999 1-2
## 9855 40,000-49,999 0 3-5
## 9856 1,000-1,999 1-99 1-2
## 9857 25,000-29,999 1000-9,999 1-2
## 9858 50,000-59,999 > 100,000 1-2
## 9859 100,000-124,999 1000-9,999 1-2
## 9860 <NA> <NA> < 1
## 9861 25,000-29,999 0 5-10
## 9862 <NA> <NA> < 1
## 9863 70,000-79,999 100-999 5-10
## 9864 50,000-59,999 0 5-10
## 9865 90,000-99,999 1000-9,999 20+
## 9866 40,000-49,999 1000-9,999 10-20
## 9867 125,000-149,999 1-99 10-20
## 9868 1,000-1,999 1-99 1-2
## 9869 20,000-24,999 1-99 3-5
## 9870 10,000-14,999 10,000-99,999 3-5
## 9871 40,000-49,999 1000-9,999 1-2
## 9872 20,000-24,999 1000-9,999 1-2
## 9873 <NA> <NA> 1-2
## 9874 <NA> <NA> 1-2
## 9875 0-999 1000-9,999 3-5
## 9876 <NA> <NA> < 1
## 9877 20,000-24,999 1-99 None
## 9878 15,000-19,999 0 3-5
## 9879 100,000-124,999 1-99 20+
## 9880 25,000-29,999 1-99 1-2
## 9881 10,000-14,999 100-999 3-5
## 9882 30,000-39,999 0 3-5
## 9883 40,000-49,999 100-999 3-5
## 9884 50,000-59,999 1000-9,999 < 1
## 9885 40,000-49,999 1-99 5-10
## 9886 0-999 0 3-5
## 9887 4,000-4,999 1-99 < 1
## 9888 60,000-69,999 10,000-99,999 3-5
## 9889 <NA> <NA> None
## 9890 <NA> <NA> 3-5
## 9891 80,000-89,999 10,000-99,999 5-10
## 9892 <NA> <NA> < 1
## 9893 <NA> <NA> 3-5
## 9894 <NA> <NA> 1-2
## 9895 <NA> <NA> 1-2
## 9896 25,000-29,999 10,000-99,999 1-2
## 9897 <NA> <NA> 3-5
## 9898 4,000-4,999 100-999 3-5
## 9899 10,000-14,999 0 3-5
## 9900 <NA> <NA> 10-20
## 9901 40,000-49,999 > 100,000 3-5
## 9902 80,000-89,999 1000-9,999 3-5
## 9903 70,000-79,999 1000-9,999 20+
## 9904 <NA> <NA> 1-2
## 9905 15,000-19,999 100-999 None
## 9906 1,000-1,999 1000-9,999 3-5
## 9907 7,500-9,999 0 3-5
## 9908 <NA> <NA> None
## 9909 20,000-24,999 100-999 1-2
## 9910 0-999 1-99 < 1
## 9911 25,000-29,999 0 5-10
## 9912 80,000-89,999 > 100,000 3-5
## 9913 40,000-49,999 0 None
## 9914 25,000-29,999 1000-9,999 10-20
## 9915 30,000-39,999 100-999 3-5
## 9916 40,000-49,999 0 1-2
## 9917 25,000-29,999 > 100,000 3-5
## 9918 50,000-59,999 1000-9,999 3-5
## 9919 50,000-59,999 0 20+
## 9920 50,000-59,999 100-999 1-2
## 9921 0-999 1-99 < 1
## 9922 30,000-39,999 1000-9,999 3-5
## 9923 100,000-124,999 0 3-5
## 9924 50,000-59,999 0 5-10
## 9925 80,000-89,999 > 100,000 3-5
## 9926 30,000-39,999 10,000-99,999 3-5
## 9927 7,500-9,999 10,000-99,999 3-5
## 9928 70,000-79,999 10,000-99,999 10-20
## 9929 <NA> <NA> < 1
## 9930 <NA> <NA> < 1
## 9931 25,000-29,999 10,000-99,999 3-5
## 9932 40,000-49,999 1000-9,999 5-10
## 9933 <NA> <NA> None
## 9934 0-999 1-99 1-2
## 9935 50,000-59,999 100-999 20+
## 9936 <NA> <NA> 3-5
## 9937 1,000-1,999 0 3-5
## 9938 <NA> <NA> < 1
## 9939 25,000-29,999 0 3-5
## 9940 90,000-99,999 10,000-99,999 None
## 9941 40,000-49,999 1000-9,999 1-2
## 9942 50,000-59,999 0 5-10
## 9943 <NA> <NA> 1-2
## 9944 25,000-29,999 100-999 3-5
## 9945 15,000-19,999 0 3-5
## 9946 30,000-39,999 1000-9,999 3-5
## 9947 0-999 0 3-5
## 9948 4,000-4,999 100-999 5-10
## 9949 5,000-7,499 100-999 3-5
## 9950 <NA> <NA> < 1
## 9951 10,000-14,999 0 1-2
## 9952 40,000-49,999 1000-9,999 10-20
## 9953 <NA> <NA> 10-20
## 9954 1,000-1,999 0 1-2
## 9955 90,000-99,999 0 None
## 9956 7,500-9,999 1-99 1-2
## 9957 30,000-39,999 100-999 3-5
## 9958 40,000-49,999 1000-9,999 3-5
## 9959 <NA> <NA> < 1
## 9960 15,000-19,999 1000-9,999 20+
## 9961 60,000-69,999 10,000-99,999 20+
## 9962 15,000-19,999 100-999 20+
## 9963 <NA> <NA> None
## 9964 40,000-49,999 0 5-10
## 9965 100,000-124,999 > 100,000 10-20
## 9966 <NA> <NA> < 1
## 9967 15,000-19,999 100-999 3-5
## 9968 1,000-1,999 1-99 < 1
## 9969 70,000-79,999 0 10-20
## 9970 60,000-69,999 > 100,000 3-5
## 9971 <NA> <NA> < 1
## 9972 15,000-19,999 10,000-99,999 None
## 9973 15,000-19,999 1000-9,999 1-2
## 9974 125,000-149,999 10,000-99,999 3-5
## 9975 5,000-7,499 0 20+
## 9976 50,000-59,999 0 3-5
## 9977 50,000-59,999 10,000-99,999 10-20
## 9978 70,000-79,999 1000-9,999 10-20
## 9979 5,000-7,499 1000-9,999 1-2
## 9980 20,000-24,999 100-999 3-5
## 9981 0-999 0 None
## 9982 80,000-89,999 1000-9,999 < 1
## 9983 15,000-19,999 100-999 5-10
## 9984 10,000-14,999 0 1-2
## 9985 50,000-59,999 1000-9,999 5-10
## 9986 <NA> <NA> 1-2
## 9987 25,000-29,999 10,000-99,999 < 1
## 9988 0-999 10,000-99,999 < 1
## 9989 <NA> <NA> 10-20
## 9990 1,000-1,999 1-99 3-5
## 9991 30,000-39,999 0 5-10
## 9992 40,000-49,999 > 100,000 1-2
## 9993 0-999 100-999 1-2
## 9994 <NA> <NA> < 1
## 9995 5,000-7,499 100-999 1-2
## 9996 50,000-59,999 1000-9,999 1-2
## 9997 20,000-24,999 10,000-99,999 3-5
## 9998 <NA> <NA> 1-2
## 9999 50,000-59,999 1000-9,999 3-5
## [ reached 'max' / getOption("max.print") -- omitted 9718 rows ]df_basic %>%
filter(country=="United States of America" & compensation_USD != "NA") %>%
ggplot() +
geom_bar(aes(x=compensation_USD),fill="lightblue") +
theme(axis.text.x = element_text(angle = 45, hjust = 1))